Evidence map›Paper›PMID 40405077›Full record

ArticleBMC gastroenterology2025

Ascites complications risk factors of decompensated cirrhosis patients: logistic regression and prediction model.

Xiaolong Zheng, Wei Wei

Abstract read
In one paragraph

Article in BMC gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

2 authors.

Xiaolong ZhengThe Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Wei WeiThe Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China. wwze@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe study mainly aim at exploring the ascites risk factors among decompensated cirrhosis patients via constructing the prediction model of ascites incidence.

methodsHere, we recruited 148 decompensated cirrhosis patients for analysis, their laboratory tests and complications recorded. T-test, chi-square test, single-factor logistic regression, multi-factor logistic regression, and nomogram model were used to investigate the ascites occurred factors in decompensated cirrhosis patients with ascites. To validate the data analysis results, we applied the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA) to evaluate the discrimination, calibration, and clinical usefulness of the prediction model, respectively.

resultsSerum creatinine levels were higher in the cirrhotic ascites group than in the non-ascites group. The ascites group had lower albumin and serum sodium levels, as well as a lower incidence of variceal bleeding and varicose veins compared to the non-ascites group.

conclusionVaricose veins, variceal bleeding, and serum sodium levels are significant factors contributing to ascites development in cirrhosis. Furthermore, decreased serum albumin and elevated creatinine levels are important indicators of poor prognosis. Nomograms can improve clinicians' informed decision-making for patients with decompensated cirrhosis, ultimately reducing ascites risk.

Indexed as

AscitesLiver CirrhosisAdultAgedCreatinineEsophageal and Gastric VaricesFemaleGastrointestinal HemorrhageHumansLogistic ModelsMaleMiddle AgedNomogramsPrognosisRisk FactorsROC CurveCreatinineSerum AlbuminSodiumAscitesDecompensation cirrhosisPrediction modelSerum albumin

Identifiers

PMID40405077
PMCPMC12100819

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.