Routine prophylactic abdominal drainage versus no-drain strategy after distal pancreatectomy: A multicenter propensity score matched analysis
Bibliographic record
Abstract
BACKGROUND: /Objectives Postoperative pancreatic fistula (POPF) remains the most common complication after distal pancreatectomy (DP). Traditionally, surgical drains are placed routinely after DP, but some question its efficacy and postulate that the use of drains may convert a self-limiting postoperative collection into a POPF. This study aimed to compare outcomes between three institutions with varying drainage strategies. METHODS: The study is a retrospective propensity score-matched analysis of intraoperative prophylactic drain placement during DP (2010-2019). The primary outcome is major morbidity. Propensity score matching was used to obtain comparable groups. RESULTS: Overall, 963 patients after DP were included. One center did not place a surgical drain routinely, but decided to place a drain when unsatisfactory pancreatic closure occurred. Prophylactic abdominal drains were placed in 805 patients (84%) of which 74 could be matched to 74 patients without a drain. The rate of major morbidity (8% vs 19%, p = 0.054) and radiological interventions (5% vs 12%, p = 0.147) were non-significantly lower in the no-drain group as compared to the prophylactic drain group, respectively. The rates of POPF (4% vs 16%, p = 0.014) were lower in the no-drain group. CONCLUSION: In this international retrospective multicenter study, a selective no-drain strategy after DP was not associated with higher rates major morbidity or radiological interventions as compared to routine prophylactic abdominal drainage. Although the rate of POPF was lower in the no-drain group, randomized trials should confirm the safety and outcome of a no-drain strategy after DP.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".