Evidence map›Paper›PMID 34246794›Full record

ArticleClinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association2022

Risk Prediction Models for Postoperative Decompensation and Infection in Patients With Cirrhosis: A Veterans Affairs Cohort Study.

Nadim Mahmud, Zachary Fricker, James D Lewis, Tamar H Taddei, David S Goldberg, David E Kaplan

Open access · greenAbstract read
In one paragraph

Article in Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.6field-weighted citation impact, top 8% of its field
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

18 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
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  4. Acute-on-chronic liver failure.BJA education · 2025
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  9. Preoperative Hepatology and Primary Care Visits Improve Postoperative Outcomes in Patients With Cirrhosis Undergoing Surgery.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2024
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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

6 authors at 5 institutions in 1 country.

Nadim MahmudDivision of Gastroenterology and Hepatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Leonard David Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Medicine, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania; Center for Clinical Epidemiology and Biostatistics, Department of Biostatistics, Epidemiology & Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania. Electronic address: nadim@pennmedicine.upenn.edu.
Zachary FrickerDivision of Gastroenterology, Hepatology, and Nutrition, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
James D LewisDivision of Gastroenterology and Hepatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Center for Clinical Epidemiology and Biostatistics, Department of Biostatistics, Epidemiology & Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Tamar H TaddeiDivision of Digestive Diseases, Yale University School of Medicine, New Haven, Connecticut; VA Connecticut Healthcare System, West Haven, Connecticut.
David S GoldbergDivision of Digestive Health and Liver Diseases, Department of Medicine, University of Miami Miller School of Medicine, Miami, Florida.
David E KaplanDivision of Gastroenterology and Hepatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Medicine, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania.
Philadelphia VA Medical Center · USBeth Israel Deaconess Medical Center · USUniversity of Miami · USUniversity of Pennsylvania · USYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Using ethics, epidemiology and high-quality data to optimize the allocation of livers for transplantationR01DK120561 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI GOLDBERG, DAVID SETH · 2019 to 2023
$2.7M
Improving Surgical Risk Prediction and Decision Making among Patients with CirrhosisK08DK124577 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI MAHMUD, NADIM · 2021 to 2025
$835k
Cross-comparison of patient-derived xenografts and derivative organoids and cell lines for translational research in hepatocellular carcinomaI01CX001933 · VA · PHILADELPHIA VA MEDICAL CENTER · PI GADE, TERENCE P · 2020 to 2023
–
Effect of simvastatin on hepatic decompensation and death in subjects with high-risk compensated cirrhosisI01CX002010 · VA · PHILADELPHIA VA MEDICAL CENTER · PI David E Kaplan, Tamar Taddei · 2020 to 2026
–
CSRD VA I01 CX001933CSRD VA I01 CX002010NCATS NIH HHS UL1 TR001863NIDDK NIH HHS K08 DK124577NIDDK NIH HHS R01 DK120561
6 · The paper itself

Abstract

BACKGROUND AND

aimsPatients with cirrhosis have an increased risk of postoperative mortality for a range of surgeries; however, they are also at risk of postoperative complications such as infection and cirrhosis decompensation. To date, there are no prediction scores that specifically risk stratify patients for these morbidities.

methodsThis was a retrospective study using data of patients with cirrhosis who underwent diverse surgeries in the Veterans Health Administration. Validated algorithms and/or manual adjudication were used to ascertain postoperative decompensation and postoperative infection through 90 days. Multivariable logistic regression was used to evaluate prediction models in derivation and validation sets using variables from the recently-published Veterans Outcomes and Costs Associated with Liver Disease (VOCAL)-Penn cirrhosis surgical risk scores for postoperative mortality. Models were compared with the Mayo risk score, Model for End-stage Liver Disease (MELD)-sodium, and Child-Turcotte-Pugh (CTP) scores.

resultsA total 4712 surgeries were included; patients were predominantly male (97.2 %), white (63.3 %), and with alcohol-related liver disease (35.3 %). Through 90 postoperative days, 8.7 % of patients experienced interval decompensation, and 4.5 % infection. Novel VOCAL-Penn prediction models for decompensation demonstrated good discrimination for interval decompensation (C-statistic 0.762 vs 0.663 Mayo vs 0.603 MELD-sodium vs 0.560 CTP; P < .001); however, discrimination was only fair for postoperative infection (C-statistic 0.666 vs 0.592 Mayo [P = .13] vs 0.502 MELD-sodium [P < .001] vs 0.503 CTP [P < .001]). The model for interval decompensation had excellent calibration in both derivation and validation sets.

conclusionWe report the derivation and internal validation of a novel, parsimonious prediction model for postoperative decompensation in patients with cirrhosis. This score demonstrated superior discrimination and calibration as compared with existing clinical standards, and will be available at www.vocalpennscore.com.

Indexed as

End Stage Liver DiseaseVeteransCohort StudiesFemaleHumansLiver CirrhosisMalePrognosisRetrospective StudiesSeverity of Illness IndexSodiumSodiumCirrhosis Surgical RiskDecompensationInfectionVeterans AffairsVOCAL-Penn Score

Identifiers

PMID34246794
PMCPMC8741885
OpenAlexW3180636618

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Registered trials

None linked

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.