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Record W2922187804 · doi:10.1097/sla.0000000000003234

Updated Alternative Fistula Risk Score (ua-FRS) to Include Minimally Invasive Pancreatoduodenectomy

2019· article· en· W2922187804 on OpenAlexaff
Timothy H. Mungroop, Sjors Klompmaker, Ulrich F. Wellner, Ewout W. Steyerberg, Andrea Coratti, Mathieu D’Hondt, Matteo De Pastena, Safi Dokmak, Igor Khatkov, Olivier Saint‐Marc, Uwe A. Wittel, Mohammad Abu Hilal, David Fuks, Ignasi Poves, Tobias Keck, Ugo Boggi, Marc G. Besselink

Bibliographic record

VenueAnnals of Surgery · 2019
Typearticle
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsPancreas Centre (Canada)
FundersUniversità di PisaGazi ÜniversitesiLeids Universitair Medisch CentrumAmsterdam University Medical Centers
KeywordsMedicinePancreatic fistulaConfidence intervalOdds ratioReceiver operating characteristicSurgeryBody mass indexFramingham Risk ScoreCohort studyCohortFistulaInternal medicinePancreas

Abstract

fetched live from OpenAlex

OBJECTIVE: The aim of the study was to validate and optimize the alternative Fistula Risk Score (a-FRS) for patients undergoing minimally invasive pancreatoduodenectomy (MIPD) in a large pan-European cohort. BACKGROUND: MIPD may be associated with an increased risk of postoperative pancreatic fistula (POPF). The a-FRS could allow for risk-adjusted comparisons in research and improve preventive strategies for high-risk patients. The a-FRS, however, has not yet been validated specifically for laparoscopic, robot-assisted, and hybrid MIPD. METHODS: A validation study was performed in a pan-European cohort of 952 consecutive patients undergoing MIPD (543 laparoscopic, 258 robot-assisted, 151 hybrid) in 26 centers from 7 countries between 2007 and 2017. The primary outcome was POPF (International Study Group on Pancreatic Surgery grade B/C). Model performance was assessed using the area under the receiver operating curve (AUC; discrimination) and calibration plots. Validation included univariable screening for clinical variables that could improve performance. RESULTS: Overall, 202 of 952 patients (21%) developed POPF after MIPD. Before adjustment, the original a-FRS performed moderately (AUC 0.68) and calibration was inadequate with systematic underestimation of the POPF risk. Single-row pancreatojejunostomy (odds ratio 4.6, 95 confidence interval [CI] 2.8-7.6) and male sex (odds ratio 1.9, 95 CI 1.4-2.7) were identified as important risk factors for POPF in MIPD. The updated a-FRS, consisting of body mass index, pancreatic texture, duct size, and male sex, showed good discrimination (AUC 0.75, 95 CI 0.71-0.79) and adequate calibration. Performance was adequate for laparoscopic, robot-assisted, and hybrid MIPD and open pancreatoduodenectomy. CONCLUSIONS: The updated a-FRS (www.pancreascalculator.com) now includes male sex as a risk factor and is validated for both MIPD and open pancreatoduodenectomy. The increased risk of POPF in laparoscopic MIPD was associated with single-row pancreatojejunostomy, which should therefore be discouraged.

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.178
GPT teacher head0.392
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations196
Published2019
Admission routes1
Has abstractyes

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