Evidence map›Paper›PMID 42360905›Full record

ArticleBJS open2026

Drain management after pancreatoduodenectomy: risk-stratified dynamic algorithm.

Giampaolo Perri, Elisa Bannone, Isabella Frigerio, Riccardo Pellegrini, Martina Guerra, Roberta Vella, Alice Cattelani, Elvira Adinolfi, Umberto Cillo, Giovanni Butturini and 1 more

Abstract read
In one paragraph

Article in BJS open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Giampaolo PerriHepato-pancreato-biliary and Liver Transplant Surgery Unit, Department of Surgical, Oncological and Gastroenterological Sciences (DiSCOG), University of Padua, Padua, Italy.ORCID 0000-0002-2072-7114
Elisa BannoneHepato-pancreato-biliary Surgery Department, Pederzoli Hospital, Peschiera Del Garda, Italy.ORCID 0000-0001-5393-6783
Isabella FrigerioHepato-pancreato-biliary Surgery Department, Pederzoli Hospital, Peschiera Del Garda, Italy.
Riccardo PellegriniHepato-pancreato-biliary and Liver Transplant Surgery Unit, Department of Surgical, Oncological and Gastroenterological Sciences (DiSCOG), University of Padua, Padua, Italy.ORCID 0009-0006-0597-9360
Martina GuerraHepato-pancreato-biliary Surgery Department, Pederzoli Hospital, Peschiera Del Garda, Italy.
Roberta VellaHepato-pancreato-biliary Surgery Department, Pederzoli Hospital, Peschiera Del Garda, Italy.
Alice CattelaniHepato-pancreato-biliary Surgery Department, Pederzoli Hospital, Peschiera Del Garda, Italy.ORCID 0009-0006-4308-1359
Elvira AdinolfiHepato-pancreato-biliary Surgery Department, Pederzoli Hospital, Peschiera Del Garda, Italy.
Umberto CilloHepato-pancreato-biliary and Liver Transplant Surgery Unit, Department of Surgical, Oncological and Gastroenterological Sciences (DiSCOG), University of Padua, Padua, Italy.ORCID 0000-0002-2310-0245
Giovanni ButturiniHepato-pancreato-biliary Surgery Department, Pederzoli Hospital, Peschiera Del Garda, Italy.
Giovanni MarchegianiHepato-pancreato-biliary and Liver Transplant Surgery Unit, Department of Surgical, Oncological and Gastroenterological Sciences (DiSCOG), University of Padua, Padua, Italy.ORCID 0000-0002-6824-4533

Funding

European UnionNextGenerationEU and STARS@UNIPD MARC_STARS_MUR24_01
6 · The paper itself

Abstract

backgroundThe ability of drain fluid amylase (DFA) to predict pancreatic fistula (POPF) and safely guide early drain removal is unknown in high-risk pancreatoduodenectomy (HR-PD). The aim of this analysis was to develop a new risk-based algorithm for drain management after pancreatoduodenectomy.

methodsAll consecutive patients undergoing pancreatoduodenectomy (2019-2024) at two institutions were included. During surgery, patients were stratified into HR-PD, defined according to the International Study Group on Pancreatic Surgery score (soft gland and duct ≤ 3 mm), and non-HR-PD. Postoperative predictors (DFA, serum amylase/lipase, C-reactive protein) were retrieved on postoperative days (PODs) 1 to 5 and correlated to POPF development using a risk-based approach. Results were validated in a retrospective cohort (2015-2019) of pancreatoduodenectomies performed at the same institutions.

resultsOut of 825 screened patients, 788 were included. HR-PD (251, 32%) had higher POPF rates (50% versus 9%; P < 0.001) and worse outcomes. In HR-PD, DFA had a lower area under the curve for POPF for POD 1 (0.73 versus 0.85; P = 0.003) and POD 3 (0.74 versus 0.88; P = 0.002) compared with non-HR-PD, but similar for POD 5 (0.83 versus 0.86; P = 0.535), whereas serum amylase/lipase maintained a low area under the curve for POPF compared with non-HR-PD. The optimal criteria for POD 3 drain removal in non-HR-PD were POD 1 DFA < 200 UI/l, POD 3 DFA < 150 UI/l, and absence of elevated serum amylase/lipase on POD 1 (Youden's index 0.674). In HR-PD, the criteria for POD 5 drain removal were POD 5 DFA < 150 UI/l and POD 5 C-reactive protein < 150 mg/ml (Youden's index 0.593).

conclusionIn patients with an intrinsic higher risk of POPF, early predictors are less reliable, and drain management protocols should be tailored. In non-HR-PD, an early removal policy can be recommended based on DFA and serum amylase/lipase. In HR-PD, drain removal may be safely deferred until POD 5 according to DFA and C-reactive protein.

Indexed as

DrainagePancreatic FistulaPancreaticoduodenectomyPostoperative ComplicationsAgedAlgorithmsAmylasesC-Reactive ProteinFemaleHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsAmylasesC-Reactive ProteinamylasepancreatectomypancreaticPOPFpostoperativestent

Identifiers

PMID42360905
PMCPMC13308533

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.