Multivisceral Oncological Resections Involving the Pancreas: Protocol for a Systematic Review and Meta-Analysis
Bibliographic record
Abstract
BACKGROUND: With the continuous advancement of cancer treatments, a comprehensive analysis of the impact of multivisceral oncological pancreatic resections on morbidity, mortality, and long-term survival is currently lacking. OBJECTIVE: This manuscript presents the protocol for a systematic review and meta-analysis designed to summarize the existing evidence concerning the outcomes of multivisceral oncological pancreatic resections across diverse tumor entities. METHODS: We will conduct a systematic search of the PubMed or MEDLINE, Embase, Cochrane Library, CINAHL, and ClinicalTrials.gov databases in strict accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. The predefined outcomes encompass postoperative mortality, postoperative morbidity, overall and disease-free survival (1- to 5-year survival rates), the proportion of macroscopically complete (R0) resections (according to the Royal College of Pathologists definition), duration of hospital stay (in days), reoperation rate (%), postoperative complications (covering all complications according to the Clavien-Dindo classification), as well as pancreatic fistula, postpancreatectomy hemorrhage, and delayed gastric emptying (all according to the definitions of the International Study Group of Pancreas Surgery). RESULTS: Systematic database searches will begin in July 2024. The completion of the meta-analysis is anticipated by December 2024. Before completion, the literature search will be checked for new publications that must be considered in the context of the work. CONCLUSIONS: The forthcoming findings will provide an up-to-date overview of the feasibility, safety, and oncological efficacy of multivisceral pancreatic resections across diverse tumor entities. This data will serve as a valuable resource for health care professionals and patients to make well-informed clinical decisions. TRIAL REGISTRATION: PROSPERO CRD42023437858; https://tinyurl.com/bde5xmfw. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/54089.
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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 | 0.070 | 0.112 |
| Meta-epidemiology (narrow) | 0.005 | 0.004 |
| Meta-epidemiology (broad) | 0.019 | 0.029 |
| Bibliometrics | 0.010 | 0.011 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.040 | 0.004 |
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".