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  <front>
    <journal-meta>
      <journal-id journal-id-type="nlm-ta">Mini-invasive Surg.</journal-id>
      <journal-id journal-id-type="publisher-id">MIS</journal-id>
      <journal-title-group>
        <journal-title>Mini-invasive Surgery</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2574-1225</issn>
      <publisher>
        <publisher-name>OAE Publishing Inc.</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.20517/2574-1225.2025.150</article-id>
      <article-categories>
        <subj-group>
          <subject>Original Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Robotic gastrectomy for gastric cancer: feasibility and outcomes of a newly established program</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Rodriguez</surname>
            <given-names>Nathan</given-names>
          </name>
          <xref ref-type="aff" rid="I1">
            <sup>1</sup>
          </xref>
          <xref ref-type="corresp" rid="cor1" />
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Sweatt</surname>
            <given-names>Brennan</given-names>
          </name>
          <xref ref-type="aff" rid="I2">
            <sup>2</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Trocha</surname>
            <given-names>Steven</given-names>
          </name>
          <xref ref-type="aff" rid="I1">
            <sup>1</sup>
          </xref>
        </contrib>
      </contrib-group>
      <aff id="I1">
        <sup>1</sup>Department of Surgery, Prisma Health, Greenville, SC 29605, USA.</aff>
      <aff id="I2">
        <sup>2</sup>University of South Carolina School of Medicine Greenville, Greenville, SC 29605, USA.</aff>
      <author-notes>
        <corresp id="cor1">Correspondence to: Dr. Nathan Rodriguez, Department of Surgery, Prisma Health, Greenville, SC 29605, USA. E-mail: <email>nathan.rodriguez@prismahealth.org</email></corresp>
        <fn fn-type="other">
          <p>
            <bold>Received:</bold> 24 Oct 2025 | <bold>First Decision:</bold> 18 Mar 2026 | <bold>Revised:</bold> 10 Apr 2026 | <bold>Accepted:</bold> 25 May 2026 | <bold>Published:</bold> 4 Jun 2026</p>
        </fn>
        <fn fn-type="other">
          <p>
            <bold>Academic Editor:</bold> Rasa Zarnegar | <bold>Copy Editor:</bold> Pei-Yun Wang | <bold>Production Editor:</bold> Pei-Yun Wang</p>
        </fn>
      </author-notes>
      <pub-date pub-type="ppub">
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>4</day>
        <month>6</month>
        <year>2026</year>
      </pub-date>
      <volume>10</volume>
      <elocation-id>20</elocation-id>
      <permissions>
        <copyright-statement>© The Author(s) 2026.</copyright-statement>
        <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
          <license-p>© The Author(s) 2026. <bold>Open Access</bold> This article is licensed under a Creative Commons Attribution 4.0 International License (<uri xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</uri>), which permits unrestricted use, sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.</license-p>
        </license>
      </permissions>
      <abstract>
        <p>
          <bold>Aim:</bold> Robotic-assisted surgery has emerged as a minimally invasive alternative to open gastrectomy for gastric cancer, offering potential advantages in visualization, instrument precision, surgeon posture, and decreased length of stay (LOS). This study compares peri-operative and oncologic outcomes between robotic and open gastrectomy during an institutional transition to robotic-assisted gastric surgery.</p>
        <p>
          <bold>Methods:</bold> A retrospective cohort study was conducted of 56 patients who underwent curative-intent gastrectomy for gastric adenocarcinoma between February 2016 and December 2024. Twenty-seven patients underwent robotic-assisted gastrectomy and 29 underwent open surgery. Demographic, operative, pathologic, and postoperative outcomes were compared using Fisher’s exact and Wilcoxon rank-sum tests, with overall survival analyzed by Kaplan–Meier methods.</p>
        <p>
          <bold>Results:</bold> Baseline characteristics were comparable between groups. Operative time was significantly longer for robotic surgery (median 320 <italic>vs.</italic> 255 minutes, <italic>P</italic> = 0.012), but estimated blood loss was lower (100 <italic>vs.</italic> 175 mL, <italic>P</italic> = 0.025). Operative complications were significantly fewer in the robotic group (7.4% <italic>vs.</italic> 31.0%, <italic>P</italic> = 0.042), and postoperative LOS was significantly shorter (7 <italic>vs.</italic> 9 days, <italic>P</italic> = 0.025). While lymph-node yield, R0 resection rate, and 5-year overall survival were numerically higher in the robotic group, these differences did not reach statistical significance.</p>
        <p>
          <bold>Conclusion:</bold> Robotic gastrectomy demonstrated reduced blood loss, fewer complications, and shorter hospitalization compared with open surgery, with equivalent oncologic outcomes. These findings support the safety and feasibility of robotic gastrectomy during program implementation with significant benefits to the patients.</p>
      </abstract>
      <kwd-group>
        <kwd>Gastric adenocarcinoma</kwd>
        <kwd>robotic gastrectomy</kwd>
        <kwd>program implementation</kwd>
        <kwd>minimally invasive surgery</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
      <title>INTRODUCTION</title>
      <p>Gastric cancer is the fifth most diagnosed malignancy worldwide, with significant variation in incidence across geographic regions. Eastern Asia reports the highest rates of gastric cancer, whereas all regions of Africa have among the lowest. Despite a global decline in incidence - suspected to be linked to improved food preservation methods and decreasing prevalence of Helicobacter pylori infection - gastric cancer remains the fifth leading cause of cancer-related mortality globally<sup>[<xref ref-type="bibr" rid="B1">1</xref>]</sup>.</p>
      <p>The surgical management of gastric cancer, along with the technologies used to perform it, has evolved considerably over time. While ongoing clinical trials such as CRITICS, SENORITA, TOPGEAR, PILGRIM, and RENAISSANCE<sup>[<xref ref-type="bibr" rid="B2">2</xref>-<xref ref-type="bibr" rid="B6">6</xref>]</sup> continue to refine and optimize treatment strategies, the standard approach for T1b–T4 tumors remains partial or total gastrectomy with an adequate D2 lymph node dissection, or a minimum of 16 lymph nodes evaluated in the specimen as outlined in current NCCN guidelines<sup>[<xref ref-type="bibr" rid="B7">7</xref>]</sup>. Historically, this procedure was carried out via an open approach, and is inherently complex due to meticulous dissection, intestinal reconstruction, and thorough nodal evaluation.</p>
      <p>In recent decades, the emergence of minimally invasive techniques has challenged the traditional open approach by offering potential benefits such as reduced postoperative pain, faster recovery, and shorter hospital stays. However, performing a gastrectomy laparoscopically significantly increases the technical demands of the procedure. These challenges hindered the widespread adoption of laparoscopic gastrectomy in many surgical centers<sup>[<xref ref-type="bibr" rid="B8">8</xref>]</sup>.</p>
      <p>The introduction of robotic-assisted surgery for gastric cancer in 2002 marked a pivotal advancement<sup>[<xref ref-type="bibr" rid="B9">9</xref>]</sup>. The robotic platform offers enhanced dexterity through multi-directional articulating instruments, improved instrument stability, tremor filtration, and superior three-dimensional camera visualization and 10× magnification. These features help overcome many of the limitations associated with conventional laparoscopy and have facilitated the more widespread use of minimally invasive techniques in complex gastric cancer surgery.</p>
      <p>This study retrospectively evaluates the peri-operative and oncologic outcomes of robotic <italic>vs.</italic> open gastrectomy for gastric cancer, as performed by a single institution transitioning to robotic surgery without prior experience in complex laparoscopy.</p>
    </sec>
    <sec id="sec2">
      <title>METHODS</title>
      <sec id="sec2-1">
        <title>Study design and setting</title>
        <p>This was a retrospective cohort study conducted at a tertiary teaching facility, evaluating clinical outcomes among patients who underwent surgical resection for gastric adenocarcinoma between February 2016 and December 2024, comparing robotic <italic>vs.</italic> open oncologic gastric resection. This study was approved by the Institutional Review Board (IRB) of PRISMA Health (Protocol ID: 2339137-2) and was authorized to use the relevant data. Given the retrospective nature of the study and the use of de-identified patient data, the requirement for written informed consent was waived.</p>
      </sec>
      <sec id="sec2-2">
        <title>Patient population</title>
        <p>Adult patients (≥ 18 years) who underwent curative-intent gastrectomy for histologically confirmed gastric adenocarcinoma were included. Patients who underwent palliative procedures, had incomplete operative or follow-up data, or were younger than 18 years were excluded. Eligible cases were identified through the institutional surgical oncology database and verified through operative and pathology reports.</p>
      </sec>
      <sec id="sec2-3">
        <title>Data collection</title>
        <p>Clinical data were extracted from the institutional Epic electronic health record and managed using a secure, HIPAA-compliant REDCap database. Data abstraction included demographic characteristics, comorbidities, operative details, pathologic outcomes, and 30-day postoperative events. All data were de-identified prior to analysis. Access to protected health information (e.g., medical record numbers, dates of service) was limited to ensure accurate patient linkage and temporal follow-up. No identifiable information was used in final analyses or dissemination.</p>
      </sec>
      <sec id="sec2-4">
        <title>Surgical technique</title>
        <p>A total of four surgeons were included in the study with the surgical technique being dependent on the surgeon’s preference. Robotic procedures were performed using the da Vinci® Surgical System (Intuitive Surgical, Sunnyvale, CA), employing a standardized port configuration and lymphadenectomy. Reconstruction following distal or total gastrectomy was carried out using a Billroth II, Roux-en-Y gastro-jejunostomy, or esophago-jejunostomy, depending on resection extent. Open gastrectomies were performed via a midline laparotomy using conventional techniques for lymph node dissection and gastrointestinal reconstruction.</p>
      </sec>
      <sec id="sec2-5">
        <title>Outcome measures</title>
        <p>The primary outcomes evaluated were lymph-node yield, postoperative complications (including anastomotic leak, return to the operating room, delayed bowel function, 30-day readmission, and 30-day mortality), estimated blood loss (EBL), and length of stay (LOS). Secondary outcomes included resection margin status, operative time, and overall survival.</p>
      </sec>
      <sec id="sec2-6">
        <title>Statistical analysis</title>
        <p>Descriptive statistics were used to summarize patient demographics and peri-operative variables. Continuous data were expressed as medians with ranges and compared using the Wilcoxon rank-sum test. Categorical variables were compared using Fisher’s exact test. Kaplan–Meier survival analysis was carried out to estimate overall survival, with differences assessed using the log-rank test. Statistical significance was defined as <italic>P</italic> &lt; 0.05. Statistical analysis was done with an intention to treat for both study groups.</p>
      </sec>
    </sec>
    <sec id="sec3">
      <title>RESULTS</title>
      <sec id="sec3-1">
        <title>Patient characteristics</title>
        <p>A total of 56 patients met inclusion criteria between February 2016 and December 2024, comprising 27 robotic and 29 open gastrectomies. Baseline demographic and clinical characteristics were comparable between groups [<xref ref-type="table" rid="t1">Table 1</xref>]. The median age at surgery was 68 years (range, 27-91), and 60.7% of patients were male. Median body mass index (BMI) was similar across groups (26 <italic>vs.</italic> 24 kg/m<sup>2</sup>; <italic>P</italic> = 1.000). The prevalence of comorbidities - including hypertension (66.1%), coronary artery disease (19.6%), and chronic obstructive pulmonary disease (COPD) (14.3%) - did not differ significantly, although diabetes was more common in the open cohort (44.8% <italic>vs.</italic> 18.5%; <italic>P</italic> = 0.047), which may reflect differences in patient selection during the early phase of robotic program adoption. Prior intra-abdominal surgery was reported in 60.7% of all patients, with no significant difference between groups (<italic>P</italic> = 0.585). Cases were relatively evenly distributed throughout the study period.</p>
        <table-wrap id="t1">
          <label>Table 1</label>
          <caption>
            <p>Patient characteristics by surgical approach</p>
          </caption>
          <table frame="hsides" rules="groups">
            <thead>
              <tr>
                <td style="border-bottom:1;">
                  <bold>Characteristic</bold>
                </td>
                <td style="border-bottom:1;">
                  <bold>Total (<italic>N</italic> = 56)</bold>
                </td>
                <td style="border-bottom:1;">
                  <bold>Robotic (<italic>n</italic> = 27)</bold>
                </td>
                <td style="border-bottom:1;">
                  <bold>Open (<italic>n</italic> = 29)</bold>
                </td>
                <td style="border-bottom:1;">
                  <bold>
                    <italic>P</italic>-value</bold>
                </td>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Number of patients</td>
                <td>56</td>
                <td>27</td>
                <td>29</td>
                <td>-</td>
              </tr>
              <tr>
                <td>Age at surgery, median [range]</td>
                <td>68 [27-91]</td>
                <td>69 [27-91]</td>
                <td>66 [43-87]</td>
                <td>0.948</td>
              </tr>
              <tr>
                <td>Sex, <italic>n</italic> (%)</td>
                <td />
                <td />
                <td />
                <td>0.790</td>
              </tr>
              <tr>
                <td>        Female</td>
                <td>22 (39.3)</td>
                <td>10 (37.0)</td>
                <td>12 (41.4)</td>
                <td />
              </tr>
              <tr>
                <td>        Male</td>
                <td>34 (60.7)</td>
                <td>17 (63.0)</td>
                <td>17 (58.6)</td>
                <td />
              </tr>
              <tr>
                <td>Race/ethnicity, <italic>n</italic> (%)</td>
                <td />
                <td />
                <td />
                <td>0.915</td>
              </tr>
              <tr>
                <td>        White</td>
                <td>27 (48.2)</td>
                <td>12 (44.4)</td>
                <td>15 (51.7)</td>
                <td />
              </tr>
              <tr>
                <td>        Black</td>
                <td>20 (35.7)</td>
                <td>10 (37.0)</td>
                <td>10 (34.5)</td>
                <td />
              </tr>
              <tr>
                <td>        Hispanic</td>
                <td>5 (8.9)</td>
                <td>3 (11.1)</td>
                <td>2 (6.9)</td>
                <td />
              </tr>
              <tr>
                <td>        Asian</td>
                <td>4 (7.1)</td>
                <td>2 (7.4)</td>
                <td>2 (6.9)</td>
                <td />
              </tr>
              <tr>
                <td>BMI (kg/m<sup>2</sup>), median [range]</td>
                <td>24 [16-40]</td>
                <td>26 [16-33]</td>
                <td>24 [17-40]</td>
                <td>1.000</td>
              </tr>
              <tr>
                <td>Nicotine use, <italic>n</italic> (%)</td>
                <td />
                <td />
                <td />
                <td>0.420</td>
              </tr>
              <tr>
                <td>        Current (within 30 days)</td>
                <td>11 (19.6)</td>
                <td>5 (18.5)</td>
                <td>6 (20.7)</td>
                <td />
              </tr>
              <tr>
                <td>        Former</td>
                <td>22 (39.3)</td>
                <td>13 (48.2)</td>
                <td>9 (31.0)</td>
                <td />
              </tr>
              <tr>
                <td>        Never</td>
                <td>23 (41.1)</td>
                <td>9 (33.3)</td>
                <td>14 (48.3)</td>
                <td />
              </tr>
              <tr>
                <td>Comorbidities, <italic>n</italic> (%)</td>
                <td />
                <td />
                <td />
                <td />
              </tr>
              <tr>
                <td>        Hypertension</td>
                <td>37 (66.1)</td>
                <td>18 (66.7)</td>
                <td>19 (65.5)</td>
                <td>1.000</td>
              </tr>
              <tr>
                <td>        Diabetes</td>
                <td>18 (32.1)</td>
                <td>5 (18.5)</td>
                <td>13 (44.8)</td>
                <td>0.047<sup>*</sup></td>
              </tr>
              <tr>
                <td>        COPD</td>
                <td>8 (14.3)</td>
                <td>4 (14.1)</td>
                <td>4 (13.8)</td>
                <td>1.000</td>
              </tr>
              <tr>
                <td>        Chronic renal insufficiency</td>
                <td>2 (3.5)</td>
                <td>0</td>
                <td>2 (6.9)</td>
                <td>0.492</td>
              </tr>
              <tr>
                <td>        Liver insufficiency/failure</td>
                <td>1 (1.7)</td>
                <td>0</td>
                <td>1 (3.5)</td>
                <td>1.000</td>
              </tr>
              <tr>
                <td>        CHF</td>
                <td>3 (5.4)</td>
                <td>0</td>
                <td>3 (10.3)</td>
                <td>0.264</td>
              </tr>
              <tr>
                <td>        Coronary artery disease</td>
                <td>11 (19.6)</td>
                <td>5 (18.5)</td>
                <td>6 (20.7)</td>
                <td>1.000</td>
              </tr>
              <tr>
                <td>        Cardiac arrhythmia</td>
                <td>11 (19.6)</td>
                <td>3 (11.1)</td>
                <td>8 (27.6)</td>
                <td>0.181</td>
              </tr>
              <tr>
                <td>        IBD</td>
                <td>1 (1.8)</td>
                <td>0</td>
                <td>1 (3.5)</td>
                <td>1.000</td>
              </tr>
              <tr>
                <td>        PVD</td>
                <td>1 (1.8)</td>
                <td>0</td>
                <td>1 (3.5)</td>
                <td>1.000</td>
              </tr>
              <tr>
                <td>Previous intra-abdominal surgery, <italic>n</italic> (%)</td>
                <td />
                <td />
                <td />
                <td>0.585</td>
              </tr>
              <tr>
                <td>        No</td>
                <td>22 (39.3)</td>
                <td>12 (44.4)</td>
                <td>10 (34.5)</td>
                <td />
              </tr>
              <tr>
                <td>        Yes</td>
                <td>34 (60.7)</td>
                <td>15 (55.6)</td>
                <td>19 (65.5)</td>
                <td />
              </tr>
              <tr>
                <td>Previous surgery type, <italic>n</italic></td>
                <td />
                <td />
                <td />
                <td />
              </tr>
              <tr>
                <td>        Cholecystectomy</td>
                <td>14</td>
                <td>5</td>
                <td>9</td>
                <td>-</td>
              </tr>
              <tr>
                <td>        Colectomy</td>
                <td>4</td>
                <td>0</td>
                <td>4</td>
                <td>-</td>
              </tr>
              <tr>
                <td>        Appendectomy</td>
                <td>7</td>
                <td>3</td>
                <td>4</td>
                <td>-</td>
              </tr>
              <tr>
                <td>        Hysterectomy</td>
                <td>5</td>
                <td>3</td>
                <td>2</td>
                <td>-</td>
              </tr>
              <tr>
                <td>        Cesarean section</td>
                <td>2</td>
                <td>1</td>
                <td>1</td>
                <td>-</td>
              </tr>
              <tr>
                <td>        Esophagectomy</td>
                <td>1</td>
                <td>0</td>
                <td>1</td>
                <td>-</td>
              </tr>
              <tr>
                <td>        Ventral hernia repair</td>
                <td>1</td>
                <td>0</td>
                <td>1</td>
                <td>-</td>
              </tr>
              <tr>
                <td>        Inguinal hernia repair</td>
                <td>4</td>
                <td>1</td>
                <td>3</td>
                <td>-</td>
              </tr>
              <tr>
                <td>Year of surgery, <italic>n</italic> (%)</td>
                <td />
                <td />
                <td />
                <td>0.879</td>
              </tr>
              <tr>
                <td>        2016</td>
                <td>8 (14.3)</td>
                <td>3 (11.1)</td>
                <td>5 (17.2)</td>
                <td />
              </tr>
              <tr>
                <td>        2017</td>
                <td>6 (10.7)</td>
                <td>4 (14.8)</td>
                <td>2 (6.9)</td>
                <td />
              </tr>
              <tr>
                <td>        2018</td>
                <td>4 (7.1)</td>
                <td>2 (7.4)</td>
                <td>2 (6.9)</td>
                <td />
              </tr>
              <tr>
                <td>        2019</td>
                <td>5 (8.9)</td>
                <td>1 (3.7)</td>
                <td>4 (13.8)</td>
                <td />
              </tr>
              <tr>
                <td>        2020</td>
                <td>8 (14.3)</td>
                <td>4 (14.8)</td>
                <td>4 (13.8)</td>
                <td />
              </tr>
              <tr>
                <td>        2021</td>
                <td>5 (8.9)</td>
                <td>2 (7.4)</td>
                <td>3 (10.3)</td>
                <td />
              </tr>
              <tr>
                <td>        2022</td>
                <td>7 (12.5)</td>
                <td>3 (11.1)</td>
                <td>4 (13.8)</td>
                <td />
              </tr>
              <tr>
                <td>        2023</td>
                <td>6 (10.7)</td>
                <td>4 (14.8)</td>
                <td>2 (6.9)</td>
                <td />
              </tr>
              <tr>
                <td>        2024</td>
                <td>7 (12.5)</td>
                <td>4 (14.8)</td>
                <td>3 (10.3)</td>
                <td />
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn>
              <p>Data presented as median [range] or number (percent). <sup>*</sup><italic>P</italic> ≤ 0.05. BMI: Body mass index; COPD: chronic obstructive pulmonary disease; CHF: congestive heart failure; IBD: inflammatory bowel disease; PVD: peripheral vascular disease.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec id="sec3-2">
        <title>Operative characteristics</title>
        <p>Operative details are summarized in <xref ref-type="table" rid="t2">Table 2</xref>. Neoadjuvant chemotherapy was administered in 57.1% of patients overall, with a higher, though not statistically significant, frequency in the robotic group (70.4% <italic>vs.</italic> 44.8%; <italic>P</italic> = 0.064). This difference may reflect patient selection or evolving multidisciplinary treatment patterns during early robotic program adoption rather than an effect of surgical approach. Similarly, neoadjuvant radiation was used in 17.9% of patients (25.9% <italic>vs.</italic> 10.3%; <italic>P</italic> = 0.171), which was also without statistical significance and potentially influenced by selection factors. Partial gastrectomy was the most common procedure (71.3%), with comparable distribution between robotic (77.8%) and open (65.5%) approaches (<italic>P</italic> = 0.382).</p>
        <table-wrap id="t2">
          <label>Table 2</label>
          <caption>
            <p>Operative details by surgical approach</p>
          </caption>
          <table frame="hsides" rules="groups">
            <thead>
              <tr>
                <td style="border-bottom:1;">
                  <bold>Characteristic</bold>
                </td>
                <td style="border-bottom:1;">
                  <bold>Total (<italic>N</italic> = 56)</bold>
                </td>
                <td style="border-bottom:1;">
                  <bold>Robotic (<italic>n</italic> = 27)</bold>
                </td>
                <td style="border-bottom:1;">
                  <bold>Open (<italic>n</italic> = 29)</bold>
                </td>
                <td style="border-bottom:1;">
                  <bold>
                    <italic>P</italic>-value</bold>
                </td>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Number of patients</td>
                <td>56</td>
                <td>27</td>
                <td>29</td>
                <td>-</td>
              </tr>
              <tr>
                <td>Neoadjuvant chemotherapy, <italic>n</italic> (%)</td>
                <td>32 (57.1)</td>
                <td>19 (70.4)</td>
                <td>13 (44.8)</td>
                <td>0.064</td>
              </tr>
              <tr>
                <td>Neoadjuvant radiation, <italic>n</italic> (%)</td>
                <td>10 (17.9)</td>
                <td>7 (25.9)</td>
                <td>3 (10.3)</td>
                <td>0.171</td>
              </tr>
              <tr>
                <td>Gastrectomy type, <italic>n</italic> (%)</td>
                <td />
                <td />
                <td />
                <td>0.382</td>
              </tr>
              <tr>
                <td>        Partial</td>
                <td>40 (71.3)</td>
                <td>21 (77.8)</td>
                <td>19 (65.5)</td>
                <td />
              </tr>
              <tr>
                <td>        Total</td>
                <td>16 (28.6)</td>
                <td>6 (22.2)</td>
                <td>10 (34.5)</td>
                <td />
              </tr>
              <tr>
                <td>        Conversion to open approach</td>
                <td>-</td>
                <td>3 (11.1)</td>
                <td>-</td>
                <td />
              </tr>
              <tr>
                <td>Operative complication (excluding conversion), <italic>n</italic> (%)</td>
                <td />
                <td />
                <td />
                <td>0.042<sup>*</sup></td>
              </tr>
              <tr>
                <td>        No</td>
                <td>45 (80.4)</td>
                <td>25 (92.6)</td>
                <td>20 (69.0)</td>
                <td />
              </tr>
              <tr>
                <td>        Yes</td>
                <td>11 (19.6)</td>
                <td>2 (7.4)</td>
                <td>9 (31.0)</td>
                <td />
              </tr>
              <tr>
                <td>Specific complications</td>
                <td />
                <td />
                <td />
                <td />
              </tr>
              <tr>
                <td>        Bleeding</td>
                <td>1</td>
                <td>1</td>
                <td>0</td>
                <td />
              </tr>
              <tr>
                <td>        Injury to adjacent organs</td>
                <td>6</td>
                <td>0</td>
                <td>6</td>
                <td />
              </tr>
              <tr>
                <td>        Anastomotic leak</td>
                <td>2</td>
                <td>0</td>
                <td>2</td>
                <td />
              </tr>
              <tr>
                <td>        Pancreatic injury/fistula</td>
                <td>1</td>
                <td>0</td>
                <td>1</td>
                <td />
              </tr>
              <tr>
                <td>        Inadequate margins</td>
                <td>1</td>
                <td>1</td>
                <td>0</td>
                <td />
              </tr>
              <tr>
                <td>Operative time (min)</td>
                <td>285 [140-615]</td>
                <td>320 [190-615]</td>
                <td>255 [140-568]</td>
                <td>0.012<sup>*</sup></td>
              </tr>
              <tr>
                <td>Anesthesia time (min)</td>
                <td>296 [162-615]</td>
                <td>334 [210-615]</td>
                <td>265 [162-552]</td>
                <td>0.011<sup>*</sup></td>
              </tr>
              <tr>
                <td>ASA class, <italic>n</italic> (%)</td>
                <td />
                <td />
                <td />
                <td>0.620</td>
              </tr>
              <tr>
                <td>        2</td>
                <td>4 (7.1)</td>
                <td>3 (11.1)</td>
                <td>1 (3.5)</td>
                <td />
              </tr>
              <tr>
                <td>        3</td>
                <td>45 (80.4)</td>
                <td>21 (77.8)</td>
                <td>24 (82.8)</td>
                <td />
              </tr>
              <tr>
                <td>        4</td>
                <td>7 (12.5)</td>
                <td>3 (11.1)</td>
                <td>4 (13.8)</td>
                <td />
              </tr>
              <tr>
                <td>EBL (mL)</td>
                <td>125 [15-900]</td>
                <td>100 [20-650]</td>
                <td>175 [15-900]</td>
                <td>0.025<sup>*</sup></td>
              </tr>
              <tr>
                <td>Margin status, <italic>n</italic> (%)</td>
                <td />
                <td />
                <td />
                <td>1.000</td>
              </tr>
              <tr>
                <td>        R0</td>
                <td>53 (94.6)</td>
                <td>26 (96.3)</td>
                <td>27 (93.1)</td>
                <td />
              </tr>
              <tr>
                <td>        R1</td>
                <td>2 (3.6)</td>
                <td>1 (3.7)</td>
                <td>1 (3.5)</td>
                <td />
              </tr>
              <tr>
                <td>        R2</td>
                <td>1 (1.8)</td>
                <td>0</td>
                <td>1 (3.5)</td>
                <td />
              </tr>
              <tr>
                <td>Final tumor stage, <italic>n</italic> (%)</td>
                <td />
                <td />
                <td />
                <td>0.683</td>
              </tr>
              <tr>
                <td>        0</td>
                <td>3 (5.4)</td>
                <td>3 (11.1)</td>
                <td>0</td>
                <td />
              </tr>
              <tr>
                <td>        IA</td>
                <td>7 (12.5)</td>
                <td>3 (11.1)</td>
                <td>4 (13.8)</td>
                <td />
              </tr>
              <tr>
                <td>        IB</td>
                <td>9 (16.1)</td>
                <td>5 (18.5)</td>
                <td>4 (13.8)</td>
                <td />
              </tr>
              <tr>
                <td>        IIA</td>
                <td>5 (8.9)</td>
                <td>2 (7.4)</td>
                <td>3 (10.3)</td>
                <td />
              </tr>
              <tr>
                <td>        IIB</td>
                <td>10 (17.9)</td>
                <td>5 (18.5)</td>
                <td>5 (17.2)</td>
                <td />
              </tr>
              <tr>
                <td>        IIIA</td>
                <td>5 (8.9)</td>
                <td>3 (11.1)</td>
                <td>2 (6.9)</td>
                <td />
              </tr>
              <tr>
                <td>        IIIB</td>
                <td>8 (14.3)</td>
                <td>4 (14.8)</td>
                <td>4 (13.8)</td>
                <td />
              </tr>
              <tr>
                <td>        IIIC</td>
                <td>4 (7.1)</td>
                <td>1 (3.7)</td>
                <td>3 (10.3)</td>
                <td />
              </tr>
              <tr>
                <td>        IV</td>
                <td>5 (8.9)</td>
                <td>1 (3.7)</td>
                <td>4 (13.8)</td>
                <td />
              </tr>
              <tr>
                <td>Lymph node yield</td>
                <td>19 [7-52]</td>
                <td>19 [7-50]</td>
                <td>20 [8-52]</td>
                <td>0.328</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn>
              <p>Data presented as median [range] or number (percent). <sup>*</sup><italic>P</italic> &lt; 0.05. ASA: American Society of Anesthesiologists; EBL: estimated blood loss.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <p>Median operative time was significantly longer for robotic surgery (320 min [190-615]) compared with open gastrectomy (255 min [140-568]; <italic>P</italic> = 0.012). Median anesthesia time followed a similar pattern (334 <italic>vs.</italic> <InlineParagraph>265 min;</InlineParagraph> <italic>P</italic> = 0.011). EBL was significantly lower in robotic cases (100 mL [20-650]) than in open procedures <InlineParagraph>(175 mL</InlineParagraph> [15-900]; <italic>P</italic> = 0.025).</p>
        <p>Three robotic cases (11.1%) required conversion to open surgery. These cases and outcomes were included in the robotic cohort with an intention to treat analysis. The first was due to dense adhesions from prior open cholecystectomy and inguinal hernia repair; the second was related to intra-operative bleeding and poor visualization despite no prior abdominal surgery; and the third involved extensive fibrosis and poor visualization in a patient with a prior jejunostomy tube placement.</p>
      </sec>
      <sec id="sec3-3">
        <title>Pathologic and oncologic outcomes</title>
        <p>R0 resection was achieved in 94.6% of all cases, with no significant difference between robotic and open groups (96.3% <italic>vs.</italic> 93.1%; <italic>P</italic> = 1.000). Median lymph-node yield was similar between robotic and open approaches (19 [7-50] <italic>vs.</italic> 20 [8-52]; <italic>P</italic> = 0.328). Final tumor stage distribution did not differ significantly between groups (<italic>P</italic> = 0.683).</p>
        <p>At a median follow-up of 32 months (range, 0-105 months), Kaplan–Meier analysis demonstrated no statistically significant difference in estimated 5-year overall survival between robotic and open gastrectomy [66.1% (95% confidence interval, CI; 40.7-91.5) <italic>vs.</italic> 52.3% (95%CI, 32.1-72.5); <italic>P</italic> = 0.166].</p>
      </sec>
      <sec id="sec3-4">
        <title>Postoperative outcomes</title>
        <p>Postoperative results are summarized in <xref ref-type="table" rid="t3">Table 3</xref>. The median LOS was significantly shorter following robotic surgery (7 days [4-21]) compared with open surgery (9 days [5-38]; <italic>P</italic> = 0.025). Operative complications occurred less frequently in the robotic group (7.4% <italic>vs.</italic> 31.0%; <italic>P</italic> = 0.002), with no significant differences in reoperation (11.1% <italic>vs.</italic> 24.1%; <italic>P</italic> = 0.299), 30-day readmission (7.4% <italic>vs.</italic> 25.9%; <italic>P</italic> = 0.142), or intensive care unit (ICU) admission rates (22.2% <italic>vs.</italic> 37.9%; <italic>P</italic> = 0.252). Thirty-day mortality occurred in two open cases; none were observed among robotic patients.</p>
        <table-wrap id="t3">
          <label>Table 3</label>
          <caption>
            <p>Outcomes at 30 days by surgical approach</p>
          </caption>
          <table frame="hsides" rules="groups">
            <thead>
              <tr>
                <td style="border-bottom:1;">
                  <bold>Outcome</bold>
                </td>
                <td style="border-bottom:1;">
                  <bold>Total (<italic>N</italic> = 56)</bold>
                </td>
                <td style="border-bottom:1;">
                  <bold>Robotic (<italic>n</italic> = 27)</bold>
                </td>
                <td style="border-bottom:1;">
                  <bold>Open (<italic>n</italic> = 29)</bold>
                </td>
                <td style="border-bottom:1;">
                  <bold>
                    <italic>P</italic>-value</bold>
                </td>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Number of patients</td>
                <td>56</td>
                <td>27</td>
                <td>29</td>
                <td>-</td>
              </tr>
              <tr>
                <td>Surgical LOS (days)</td>
                <td>7 [4-38]</td>
                <td>7 [4-21]</td>
                <td>9 [5-38]</td>
                <td>0.025<sup>*</sup></td>
              </tr>
              <tr>
                <td>ICU admission, <italic>n</italic> (%)</td>
                <td>17 (30.4)</td>
                <td>6 (22.2)</td>
                <td>11 (37.9)</td>
                <td>0.252</td>
              </tr>
              <tr>
                <td>Discharge status, <italic>n</italic> (%)</td>
                <td />
                <td />
                <td />
                <td>0.492</td>
              </tr>
              <tr>
                <td>        Alive</td>
                <td>54 (96.4)</td>
                <td>27 (100)</td>
                <td>27 (93.1)</td>
                <td />
              </tr>
              <tr>
                <td>        Deceased</td>
                <td>2 (3.6)</td>
                <td>0</td>
                <td>2 (6.9)</td>
                <td />
              </tr>
              <tr>
                <td>Reoperation</td>
                <td>10 (17.9)</td>
                <td>3 (11.1)</td>
                <td>7 (24.1)</td>
                <td>0.299</td>
              </tr>
              <tr>
                <td>Readmission</td>
                <td>9 (16.7)</td>
                <td>2 (7.4)</td>
                <td>7 (25.9)</td>
                <td>0.142</td>
              </tr>
              <tr>
                <td>Follow-up (months)</td>
                <td>32 [0-105]</td>
                <td>35 [3-97]</td>
                <td>26 [0-105]</td>
                <td>0.317</td>
              </tr>
              <tr>
                <td>Kaplan–Meier estimated survival at 5 years</td>
                <td>59.8</td>
                <td>66.1</td>
                <td>52.3</td>
                <td>0.166</td>
              </tr>
              <tr>
                <td>        95%CI</td>
                <td>(44.1, 75.5)</td>
                <td>(40.7, 91.5)</td>
                <td>(32.1, 72.5)</td>
                <td />
              </tr>
              <tr>
                <td>        Deaths at 5 years (<italic>n</italic>)</td>
                <td>20</td>
                <td>7</td>
                <td>13</td>
                <td />
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn>
              <p>Data presented as median [range] or number (percent). <sup>*</sup><italic>P</italic> &lt; 0.05. LOS: Length of stay; ICU: intensive care unit; Readmission: among those discharged alive; CI: confidence interval.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <p>Two perioperative deaths (3.6%) occurred, both in the open group (<italic>P</italic> = 0.492) with both patients transitioning to comfort care after a prolonged and difficult hospital course. Median follow-up duration was 32 months (range 0-105), with no difference between groups (<italic>P</italic> = 0.317). Kaplan–Meier analysis demonstrated a 5-year estimated overall survival of 59.8% (95%CI, 44.1-75.5) for the total cohort, with a higher, though not statistically significant, survival rate in the robotic group (66.1% <italic>vs</italic>. 52.3%, <italic>P</italic> = 0.166).</p>
      </sec>
    </sec>
    <sec id="sec4">
      <title>DISCUSSION</title>
      <p>In this single-center retrospective analysis comparing robotic and open gastrectomy for gastric adenocarcinoma, 56 cases were reviewed to assess differences between minimally invasive and traditional surgical approaches. Accordingly, this study is best interpreted as an evaluation of early program implementation rather than a definitive comparative effectiveness analysis. Although speculative, the open cohort may have represented a higher-risk subset, as early implementation of a robotic program often favors patient selection with fewer comorbidities, risk factors, or prior abdominal operations to minimize conversion risk and support a safer learning curve. Nonetheless, baseline demographic and clinical characteristics were largely comparable between groups, with the exception of diabetes, which was more prevalent in the open cohort (44.8% <italic>vs.</italic> 18.5%, <italic>P</italic> = 0.047). Additionally, a greater proportion of patients in the robotic group received neoadjuvant chemotherapy (70.4% <italic>vs.</italic> 44.8%, <italic>P</italic> = 0.064) and neoadjuvant radiation (25.9% <italic>vs.</italic> 10.3%, <italic>P</italic> = 0.171), though these differences did not reach statistical significance. No additional differences were observed in comorbidities, prior intra-abdominal surgery, or type of gastrectomy performed.</p>
      <p>Three robotic cases (11.1%) required conversion to an open procedure. One conversion was necessitated by dense adhesions in a patient with prior open cholecystectomy and inguinal hernia repair. The second occurred due to intra-operative bleeding and limited visualization despite no prior abdominal surgery. The third involved extensive fibrosis and poor visualization in a patient with a history of jejunostomy tube placement. These cases underscore the technical challenges inherent to the early adoption of robotic gastrectomy, particularly in patients with complex surgical histories or altered anatomy. The observed conversion rate in this series (11.1%) was slightly higher than national averages reported in larger cohorts, which range from 3.8% to 7.8%<sup>[<xref ref-type="bibr" rid="B10">10</xref>,<xref ref-type="bibr" rid="B11">11</xref>]</sup>. Prior studies have identified factors such as large tumor size, total gastrectomy, and bulky nodal disease or adjacent organ invasion as predictors of conversion<sup>[<xref ref-type="bibr" rid="B10">10</xref>,<xref ref-type="bibr" rid="B11">11</xref>]</sup>. Notably, other institutional experiences have demonstrated that the standardization of operative techniques and accumulation of surgeon experience can substantially reduce conversion rates, from 46.0% to 15.8%<sup>[<xref ref-type="bibr" rid="B12">12</xref>]</sup>, underscoring the impact of structured program development on procedural success.</p>
      <p>In the present study, several peri-operative outcomes were observed to favor the robotic approach over open gastrectomy, including reduced EBL, fewer operative complications, and shorter postoperative hospital stay. EBL was significantly lower in the robotic cohort compared with the open group (100 <italic>vs.</italic> 175 mL, <italic>P</italic> = 0.025). Although our findings did not replicate the extremely low blood loss reported in some series (as low as <InlineParagraph>25 mL)<sup>[<xref ref-type="bibr" rid="B13">13</xref>]</sup>,</InlineParagraph> they are consistent with results from a randomized controlled trial comparing robotic and open gastrectomy, which demonstrated mean blood loss values of approximately 124 and 276 mL, respectively<sup>[<xref ref-type="bibr" rid="B14">14</xref>]</sup>. These observed results are consistent with larger series as well<sup>[<xref ref-type="bibr" rid="B15">15</xref>-<xref ref-type="bibr" rid="B17">17</xref>]</sup>, suggesting the ability to safely perform gastrectomy using a robotic approach, even during early adoption phase.</p>
      <p>Interestingly, the observed reduction in operative complications in the robotic group was not driven by wound-related morbidity but rather by differences in specific intraoperative and technical complications. In our cohort, injuries to adjacent organs accounted for the majority of complications and occurred exclusively in the open group, suggesting a potential advantage of the robotic platform in facilitating precise dissection and improved visualization in confined operative planes. Similarly, anastomotic leaks were observed only in the open cohort, although the absolute number of events was small.</p>
      <p>These findings differ somewhat from prior large database studies, which have primarily demonstrated reductions in systemic and postoperative complications - such as surgical site infections, pulmonary complications, and transfusion requirements - rather than intraoperative injuries<sup>[<xref ref-type="bibr" rid="B18">18</xref>]</sup>. In the pooled analysis by Solaini <italic>et al.</italic>, overall complication rates for robotic gastrectomy were comparable to those observed in our study, with low reported rates of anastomotic leak (~2%-3%) and no clear difference between approaches<sup>[<xref ref-type="bibr" rid="B10">10</xref>]</sup>. Likewise, Garsot <italic>et al.</italic> found similar rates of anastomotic and major complications between open and minimally invasive approaches<sup>[<xref ref-type="bibr" rid="B19">19</xref>]</sup>.</p>
      <p>The predominance of adjacent organ injuries and anastomotic complications in the open cohort of our study may reflect technical factors, including exposure and visualization, but may also be influenced by case selection and the learning curve associated with early adoption of a robotic program. Therefore, while our findings suggest that robotic gastrectomy may reduce certain intraoperative technical complications, these results should be interpreted with caution and validated in larger cohorts.</p>
      <p>Additionally, robotic gastrectomy was associated with a much shorter postoperative hospital stay (7 [4-21] <italic>vs.</italic> 9 [5-38] days, <italic>P</italic> = 0.025). The IMIGASTRIC registry demonstrated a median hospital stay of 8 days for robotic cases compared to 11 days for open surgery (<italic>P</italic> &lt; 0.0001)<sup>[<xref ref-type="bibr" rid="B16">16</xref>]</sup>, while the recent network meta-analysis by Manara <italic>et al.</italic> (2024) similarly found that robotic total gastrectomy was associated with faster postoperative recovery relative to open procedures<sup>[<xref ref-type="bibr" rid="B17">17</xref>]</sup>. Nakauchi <italic>et al.</italic> (2021), in a multi-center U.S. analysis, also reported that minimally invasive approaches - including robotic - were associated with reduced perioperative morbidity and shorter hospitalization without compromising oncologic outcomes<sup>[<xref ref-type="bibr" rid="B15">15</xref>]</sup>. These consistent findings likely stem from the reduced surgical trauma inherent to minimally invasive techniques, which utilize smaller incisions, magnified three-dimensional visualization, and enhanced instrument dexterity to minimize tissue disruption and accelerate recovery.</p>
      <p>In contrast, the open approach had shorter operative time when compared to its robotic counterpart (median 255 <italic>vs.</italic> 320 min, <italic>P</italic> = 0.012). This finding aligns with the randomized controlled trial by Ribeiro <InlineParagraph><italic>et al.</italic>,</InlineParagraph> which reported mean operative durations of 354 min for robotic and 214 min for open gastrectomy<sup>[<xref ref-type="bibr" rid="B14">14</xref>]</sup>. Prolonged operative times for robotic surgery have also been consistently observed in other studies and meta-analyses<sup>[<xref ref-type="bibr" rid="B16">16</xref>,<xref ref-type="bibr" rid="B20">20</xref>]</sup>.</p>
      <p>When evaluating lymphadenectomy, the open and robotic group demonstrated very similar results (20 [8-52] <italic>vs.</italic> 19 [7-50], <italic>P</italic> = 0.328). Our results do contrast with recent multi-center analyses demonstrating equivalent or superior lymph-node retrieval with robotic gastrectomy. Trastulli <italic>et al.</italic> (2023) reported comparable nodal yields and lower postoperative morbidity in the robotic group (16.2% <italic>vs.</italic> 24.1%, <italic>P</italic> = <InlineParagraph>0.017)<sup>[<xref ref-type="bibr" rid="B16">16</xref>]</sup>,</InlineParagraph> while Hirata <italic>et al.</italic> (2023) found a higher median node count and greater likelihood of achieving ≥ 16 nodes in robotic cases (19 <italic>vs.</italic> 16, <italic>P</italic> &lt; 0.001)<sup>[<xref ref-type="bibr" rid="B21">21</xref>]</sup>. These discrepancies likely reflect institutional learning curves, procedural standardization, and variation in the routine adoption of formal D2 dissection.</p>
      <p>Emerging strategies such as sentinel lymph-node (SLN) navigation surgery may further refine the balance between oncologic adequacy and surgical invasiveness. The SENORITA randomized trial reported no significant difference in 5-year disease-free, overall, or disease-specific survival between standard laparoscopic gastrectomy and SLN navigation surgery<sup>[<xref ref-type="bibr" rid="B22">22</xref>]</sup>, suggesting that tailored nodal dissection strategies may play an increasing role in early-stage disease.</p>
      <p>When comparing long-term outcomes, the 5-year estimated overall survival for the entire cohort was 59.8% (95%CI, 44.1-75.5), with a higher, though not statistically significant, rate observed in the robotic group compared with the open group (66.1% <italic>vs.</italic> 52.3%, <italic>P</italic> = 0.166). These findings are reassuring and consistent with previously published series reporting 5-year survival rates of approximately 50%-65%, with robotic gastrectomy demonstrating comparable or, in some cases, superior outcomes relative to the open approach<sup>[<xref ref-type="bibr" rid="B10">10</xref>,<xref ref-type="bibr" rid="B19">19</xref>]</sup>. However, our study is underpowered to detect differences in long-term survival.</p>
      <p>Overall, our findings underscore that the transition from open to robotic gastrectomy involves a distinct and measurable learning curve. Importantly, these results demonstrate that robotic gastrectomy can be implemented safely, with perioperative and oncologic outcomes comparable to the open approach. Although minimally invasive techniques may offer advantages in postoperative recovery, achieving consistent oncologic equivalence - particularly in lymph-node harvest - depends on accumulated surgical experience, procedural standardization, and institutional support. While some outcomes were favorable in the robotic cohort, these findings are best interpreted as supporting feasibility and safety rather than establishing superiority. The evolution of robotic prostatectomy provides an instructive parallel: while early laparoscopic prostatectomy offered clinical benefits, its technical complexity limited widespread adoption until the introduction of robot-assisted platforms, which reduced operative times and improved oncologic outcomes as experience accrued<sup>[<xref ref-type="bibr" rid="B23">23</xref>]</sup>.</p>
      <p>Drawing from this precedent, the gastric cancer surgical community can benefit from implementing structured, competency-based training models to accelerate safe and effective adoption of robotic techniques. A modular curriculum incorporating simulation, mentorship, and proctoring could help mitigate early technical challenges and shorten the learning curve. Adapting evidence-based frameworks from urologic robotic surgery education - such as multimodal simulation, stepwise supervised progression, and video-based performance review - may further promote earlier attainment of proficiency while maintaining patient safety<sup>[<xref ref-type="bibr" rid="B24">24</xref>]</sup>.</p>
      <sec id="sec4-1">
        <title>Limitations</title>
        <p>This study has several limitations. Its retrospective, single-institution design introduces potential selection and information biases, as the choice of surgical approach was influenced by surgeon preference and institutional experience. In particular, the early adoption phase of the robotic program may have led to preferential selection of lower-risk patients, which could confound comparisons between groups. The modest sample size (<italic>n</italic> = 56) limits statistical power and may obscure smaller differences in outcomes. Additionally, the robotic cohort reflects an early learning phase, during which surgical performance and perioperative outcomes may improve with increasing experience.</p>
        <p>The extended study period (2016-2024) represents another important limitation, as substantial evolution in surgical technique, perioperative management, anesthesia protocols, and institutional experience likely occurred over time. As a result, improvements in outcomes such as blood loss, complication rates, and LOS may partially reflect temporal advancements in care rather than the effect of the robotic platform alone. Therefore, the independent contribution of surgical approach to these outcomes cannot be definitively determined.</p>
        <p>In addition, this study reflects outcomes during the early implementation phase of a robotic gastrectomy program, during which a learning curve is expected. Surgical performance, operative efficiency, and perioperative outcomes are known to improve with increasing surgeon and team experience. As this analysis did not account for case sequencing or adjust for the learning curve, improvements observed over time may be influenced by increasing familiarity with the robotic platform rather than the platform itself. Consequently, the isolated effect of robotic technology on outcomes cannot be fully distinguished from the impact of cumulative experience.</p>
        <p>Survival analysis was limited by follow-up duration, and outcomes should be interpreted cautiously, as the study is underpowered to detect differences in long-term oncologic endpoints. Finally, cost comparisons were not performed.</p>
        <p>Despite these limitations, this study provides meaningful real-world insight into the feasibility, safety, and perioperative advantages of robotic gastrectomy during program implementation and contributes to understanding the learning curve associated with transitioning from open to minimally invasive gastric cancer surgery.</p>
      </sec>
      <sec id="sec4-2">
        <title>Conclusion</title>
        <p>In our transition to robotic gastric cancer surgery, robotic gastrectomy was associated with lower EBL, shorter LOS, and fewer complications, while maintaining comparable oncologic outcomes to open surgery. These findings support the feasibility and safety of robotic gastrectomy during program implementation. While certain perioperative outcomes were favorable, definitive conclusions regarding superiority over the open approach cannot be drawn from this study.</p>
      </sec>
    </sec>
  </body>
  <back>
    <sec>
      <title>DECLARATIONS</title>
      <sec>
        <title>Authors’ contributions</title>
        <p>Made substantial contributions to conception and design of the study and performed data analysis and interpretation: Rodriguez N, Sweatt B, Trocha S</p>
        <p>Performed data acquisition and provided administrative, technical, and material support: Rodriguez N, Sweatt B, Trocha S</p>
      </sec>
      <sec>
        <title>Availability of data and materials</title>
        <p>All data are available from the corresponding author upon reasonable request. This will have to be approved by the data committee prior to distribution.</p>
      </sec>
      <sec>
        <title>AI and AI-assisted tools statement</title>
        <p>During the preparation of this manuscript, the AI tool ChatGPT (version GPT-5, released October 2025) was used solely for language editing. During the preparation of this manuscript, the AI tool Google Gemini (version 3.1, released February 2026) was used solely for the creation of the graphical abstract. The tool did not influence the study design, data collection, analysis, interpretation, or the scientific content of the work. All authors take full responsibility for the accuracy, integrity, and final content of the manuscript.</p>
      </sec>
      <sec>
        <title>Financial support and sponsorship</title>
        <p>None.</p>
      </sec>
      <sec>
        <title>Conflicts of interest</title>
        <p>All authors declared that there are no conflicts of interest.</p>
      </sec>
      <sec>
        <title>Ethical approval and consent to participate</title>
        <p>This study was conducted in accordance with and was approved by the Institutional Review Board (IRB) of PRISMA Health (Protocol ID: 2339137-2). Given the retrospective nature of this study and the use of de-identified patient data, the requirement for written informed consent was formally waived by the IRB. All data were handled in compliance with HIPAA regulations to ensure patient confidentiality.</p>
      </sec>
      <sec>
        <title>Consent for publication</title>
        <p>Not applicable.</p>
      </sec>
      <sec>
        <title>Copyright</title>
        <p>© The Author(s) 2026.</p>
      </sec>
    </sec>
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