Passive versus active intra-abdominal drainage following pancreatic resection: does a superior drainage system exist? A protocol for systematic review
Bibliographic record
Abstract
Background Clinically relevant postoperative pancreatic fistula (CR-POPF) is the most common cause of major morbidity following pancreatic resection. Intra-abdominal drains are frequently positioned adjacent to the pancreatic anastomosis or transection margin at the time of surgery to aid in detection and management of CR-POPF. Drains can either evacuate fluid by passive gravity (PG) or be attached to a closed suction (CS) system using negative pressure. There is controversy as to whether one of these two systems is superior. The objective of this review is to identify and compare the incidence of adverse events (AEs) and resource utilisation associated with PG and CS drainage following pancreatic resections. Methods and analysis MEDLINE, EMBASE, CINAHL and Cochrane Central Registry of Controlled Trials will be searched from inception to April 2019, to identify interventional and observational studies comparing PG and CS drains following pancreatic resection. The primary outcome is POPF as defined by the International Study Group for Pancreatic Fistula in 2017. Secondary outcomes include postoperative AE, resource utilisation (length of stay, return to emergency department, readmission and reintervention), time to drain removal and quality of life. Study selection, data extraction and risk of bias assessment will be performed independently, by two reviewers. A meta-analysis will be conducted if deemed statistically appropriate. Subgroup analysis by study design will be performed. Study heterogeneity will be calculated with the χ 2 test and reported as I 2 statistics. Statistical analyses will be conducted and displayed using RevMan V.5.3 Ethics and dissemination Ethics approval is not required. The results of this study will be submitted to relevant conferences for presentation and peer-reviewed journals for publication. PROSPERO registration number CRD42019123647.
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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 | 0.042 | 0.071 |
| Meta-epidemiology (narrow) | 0.004 | 0.003 |
| Meta-epidemiology (broad) | 0.021 | 0.015 |
| Bibliometrics | 0.016 | 0.015 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.038 | 0.003 |
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".