Evidence map›Paper›PMID 40487931›Full record

ReviewCurrent hepatology reports2025

Pre-Operative Assessment of Patients with Cirrhosis for Extrahepatic Surgery.

Claire Durkin, Nadim Mahmud

Abstract readReview
In one paragraph

Review in Current hepatology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Claire DurkinDepartment of Medicine, Division of Gastroenterology and Hepatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA USA.
Nadim MahmudDepartment of Medicine, Division of Gastroenterology and Hepatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA USA.

Funding

CLINICAL EPIDEMIOLOGY TRAINING IN GASTROENTEROLOGYT32DK007740 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI James D Lewis · 1997 to 2026
$9.2M
Improving Surgical Risk Prediction and Decision Making among Patients with CirrhosisK08DK124577 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI MAHMUD, NADIM · 2021 to 2025
$835k
NIDDK NIH HHS K08 DK124577NIDDK NIH HHS T32 DK007740
6 · The paper itself

Abstract

Purpose of Review: Patients with cirrhosis are at increased risk of peri-operative morbidity and mortality compared to those without cirrhosis, requiring careful pre-operative assessment of their liver disease, extra-hepatic comorbidities, and surgery-specific risk factors. Recent Findings: Adverse surgical outcomes in this population are often related to complications of advanced liver disease, including portal hypertension, impaired hemostasis, malnutrition/sarcopenia, and infection. Risk prediction tools, including the Child-Turcotte-Pugh score, Model for End-Stage Liver Disease score, Mayo Risk Score, and VOCAL-Penn Score, can be used to estimate post-operative mortality and support clinical decision-making when assessing surgical candidacy. Several common procedures, including hernia repair, laparoscopic cholecystectomy, and sleeve gastrectomy, are well-tolerated in appropriate candidates. Pre-procedural transplant evaluation and referral to a high-volume cirrhosis surgery center should be considered when feasible. Summary: This review discusses the pathophysiological mechanisms underlying increased peri-operative risk in cirrhosis, the application of surgical risk scores, liver-related contraindications to surgery, and specific considerations for several common procedures.

Indexed as

Child-turcott-pughCirrhosisMayo risk scoreModel for end-stage liver diseaseSurgeryVOCAL-penn score

Identifiers

PMID40487931
PMCPMC12137493

What OpenQuestion holds

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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.