The SAGES MASTERS program presents: the 10 seminal articles for the Laparoscopic Right Colectomy Pathway
Bibliographic record
Abstract
BACKGROUND: As one of the 12 clinical pathways of the Society of American Gastrointestinal and Endoscopic Surgeons (SAGES) Masters Program, the Colorectal Pathway intends to deliver didactic content organized along 3 levels of performance (competency, proficiency and mastery) each represented by an anchoring procedure (laparoscopic right colectomy, laparoscopic left/sigmoid colectomy, and intracorporeal anastomosis during minimally invasive (MIS) ileocecal or right colon resection). In this article, the SAGES Colorectal Task Force presents focused summaries of the top 10 seminal articles selected for laparoscopic right colectomy which surgeons should be familiar with. METHODS: Using a systematic literature search of Web of Science, the most cited articles on laparoscopic right colectomy were identified, reviewed, and ranked by the SAGES Colorectal Task Force and invited subject experts. Additional articles not identified in the literature search were included if deemed impactful by expert consensus. The top 10 ranked articles were then summarized, with emphasis on relevance and impact in the field, findings, strengths and limitations, and conclusions. RESULTS: The top 10 seminal articles selected for the laparoscopic right colectomy anchoring procedure include articles on surgical techniques for benign and malignant disease, with anatomical and video illustrations, comparative outcomes of laparoscopic vs open colectomy, variations in technique with impact on clinical outcomes, and assessment of the learning curve. CONCLUSIONS: The top 10 seminal articles selected for laparoscopic right colectomy illustrate the diversity both in content and format of the educational curriculum of the SAGES Masters Program to support practicing surgeon progression to mastery within the Colorectal Pathway.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.052 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.043 | 0.019 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 0.006 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".