Evidence map›Paper›PMID 38472607›Full record

ReviewHepatology international2024

Surgical risk stratification in patients with cirrhosis.

Ana Ostojic, Nadim Mahmud, K Rajender Reddy

Open access · greenAbstract readReview
In one paragraph

Review in Hepatology international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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

3 authors at 3 institutions in 2 countries.

Ana OstojicDivision of Gastroenterology, Department of Internal Medicine, University Hospital Center Zagreb, Kispaticeva 12, Zagreb, 10000, Croatia.
Nadim Mahmud *Division of Gastroenterology and Hepatology, University of Pennsylvania, 2 Dulles, 3400 Spruce Street, HUP, Philadelphia, PA, 19104, USA.
K Rajender Reddy *Division of Gastroenterology and Hepatology, University of Pennsylvania, 2 Dulles, 3400 Spruce Street, HUP, Philadelphia, PA, 19104, USA. reddyr@pennmedicine.upenn.edu.ORCID http://orcid.org/0000-0002-4898-7778
Hospital of the University of Pennsylvania · USUniversity Hospital Centre Zagreb · HRUniversity of Pennsylvania · US

Funding

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 DK124577
6 · The paper itself

Abstract

Individuals with cirrhosis experience higher morbidity and mortality rates than the general population, irrespective of the type or scope of surgery. This increased risk is attributed to adverse effects of liver disease, encompassing coagulation dysfunction, altered metabolism of anesthesia and sedatives, immunologic dysfunction, hemorrhage related to varices, malnutrition and frailty, impaired wound healing, as well as diminished portal blood flow, overall hepatic circulation, and hepatic oxygen supply during surgical procedures. Therefore, a frequent clinical dilemma is whether surgical interventions should be pursued in patients with cirrhosis. Several risk scores are widely used to aid in the decision-making process, each with specific advantages and limitations. This review aims to discuss the preoperative risk factors in patients with cirrhosis, describe and compare surgical risk assessment models used in everyday practice, provide insights into the surgical risk according to the type of surgery and present recommendations for optimizing those with cirrhosis for surgical procedures. As the primary focus is on currently available risk models, the review describes the predictive value of each model, highlighting its specific advantages and limitations. Furthermore, for models that do not account for the type of surgical procedure to be performed, the review suggests incorporating both patient-related and surgery-related risks into the decision-making process. Finally, we provide an algorithm for the preoperative assessment of patients with cirrhosis before elective surgery as well as guidance perioperative management.

Indexed as

Liver CirrhosisHumansPostoperative ComplicationsRisk AssessmentRisk FactorsChild–Turcotte–Pugh classificationHepatic surgeryLiver cirrhosisMayo risk modelMELDNon-hepatic surgerySurgical riskSurgical risk assessmentVOCAL-Penn score

Identifiers

PMID38472607
PMCPMC11864775
OpenAlexW4394758503

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.