Evidence map›Paper›PMID 38076370›Full record

ArticleJournal of clinical and experimental hepatology

Liver Severity Score-Based Modeling to Predict Six-Week Mortality Risk Among Hospitalized Cirrhosis Patients With Upper Gastrointestinal Bleeding.

Rochelle Wong, Adam Buckholz, Kaveh Hajifathalian, Catherine Ng, Evan Sholle, Gaurav Ghosh, Russell Rosenblatt, Brett E Fortune

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical and experimental hepatology. 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
0.6field-weighted citation impact, top 29% 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, 3 citations in OpenAlex.

  1. Article
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

8 authors at 3 institutions in 1 country.

Rochelle WongDepartment of Medicine, New York Presbyterian-Weill Cornell Medical Center, New York, NY, USA.
Adam BuckholzDivision of Gastroenterology and Hepatology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA.
Kaveh HajifathalianDivision of Gastroenterology and Hepatology, Department of Medicine, Rutgers New Jersey Medical School, Newark, NJ, USA.
Catherine NgInformation Technologies and Services, Weill Cornell Medicine, New York, NY, USA.
Evan SholleInformation Technologies and Services, Weill Cornell Medicine, New York, NY, USA.
Gaurav GhoshDivision of Gastroenterology and Hepatology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA.
Russell RosenblattDivision of Gastroenterology and Hepatology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA.
Brett E FortuneDivision of Hepatology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA.
Cornell University · USAlbert Einstein College of Medicine · USRutgers, The State University of New Jersey · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients with cirrhosis who have gastrointestinal bleeding have high short-term mortality, but the best modality for risk calculation remains in debate. Liver severity indices, such as Child-Turcotte-Pugh (CTP) and Model-for-End-Stage-Liver Disease (MELD) score, are well-studied in portal hypertensive bleeding, but there is a paucity of data confirming their accuracy in non-portal hypertensive bleeding and overall acute upper gastrointestinal bleeding (UGIB), unrelated to portal hypertension. Aims: This study aims to better understand the accuracy of current mortality risk calculators in predicting mortality for patients with any type of UGIB, which could allow for earlier risk stratification and targeted intervention prior to endoscopy to identify the bleeding source. Methods: In a large US single-center cohort, we investigated and recalibrated the model performance of CTP and MELD scores to predict six-week mortality risk for both sources of UGIB (portal hypertensive and non-portal hypertensive). Results: Both CTP- and MELD-based models have excellent discrimination in predicting six-week mortality for all types of bleeding sources. However, only a CTP-based model demonstrates calibration for all bleeding, regardless of bleeding etiology. Median predicted 6-week mortality by CTP class A, B, and C estimates a risk of 1%, 7%, and 35% respectively. Conclusions: Our study corroborates findings in the literature that CTP- and MELD-based models have similar discriminative abilities for predicting 6-week mortality in hospitalized cirrhosis patients presenting with either portal hypertensive or non-portal hypertensive UGIB. CTP class is an effective clinical decision tool that can be used, even prior to endoscopy, to accurately risk stratify a patient with known cirrhosis presenting with any UGIB into low, moderate, and severe risk groupings.

Indexed as

CTP scoreMELD scorenon-portal hypertensive bleedingportal hypertensive bleedingpredictive model performance

Identifiers

PMID38076370
PMCPMC10709123
OpenAlexW4384563665

What OpenQuestion holds

Textmetadata
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.