Evidence map›Paper›PMID 35985849›Full record

ArticleAmerican journal of surgery2023

Performance of risk prediction models for post-operative mortality in patients undergoing liver resection.

Nadim Mahmud, Sarjukumar Panchal, Florence E Turrentine, David E Kaplan, Victor M Zaydfudim

Abstract read
In one paragraph

Article in American journal of surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. 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
    Article
  4. Review
  5. Review
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

5 authors.

Nadim MahmudDivision of Gastroenterology and Hepatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Medicine, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA; Center for Clinical Epidemiology and Biostatistics, Department of Biostatistics, Epidemiology & Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Leonard David Institute of Health Economics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA. Electronic address: nadim@pennmedicine.upenn.edu.
Sarjukumar PanchalDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Florence E TurrentineDepartment of Surgery, Surgical Outcomes Research Center, University of Virginia, Charlottesville, VA, USA.
David E KaplanDivision of Gastroenterology and Hepatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Medicine, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA.
Victor M ZaydfudimDepartment of Surgery, Surgical Outcomes Research Center, University of Virginia, Charlottesville, VA, USA.

Funding

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 CX002010NCI NIH HHS L30 CA220861NIDDK NIH HHS K08 DK124577
6 · The paper itself

Abstract

backgroundLiver resection is commonly performed for hepatic tumors, however preoperative risk stratification remains challenging. We evaluated the performance of contemporary prediction models for short-term mortality after liver resection in patients with and without cirrhosis.

methodsThis retrospective cohort study examined National Surgical Quality Improvement Program data. We included patients who underwent liver resections from 2014 to 2019. VOCAL-Penn, MELD, MELD-Na, ALBI, and Mayo risk scores were evaluated in terms of model discrimination and calibration for 30-day post-operative mortality.

resultsA total 15,198 patients underwent liver resection, of whom 249 (1.6%) experienced 30-day post-operative mortality. The VOCAL-Penn score had the highest discrimination (area under the ROC curve [AUC] 0.74) compared to all other models. The VOCAL-Penn score similarly outperformed other models in patients with (AUC 0.70) and without (AUC 0.74) cirrhosis.

conclusionThe VOCAL-Penn score demonstrated superior predictive performance for 30-day post-operative mortality after liver resection as compared to existing clinical standards.

Indexed as

BilirubinHepatectomyHumansLiver CirrhosisPrognosisRetrospective StudiesROC CurveSeverity of Illness IndexBilirubinAlbumin-bilirubin scoreLiver resectionMayo risk scoreRisk predictionVOCAL-Penn score

Identifiers

PMID35985849
PMCPMC9994627

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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.