Evidence map›Paper›PMID 29285115›Full record

ArticleExperimental and therapeutic medicine2017

Quantification of ascites based on abdomino-pelvic computed tomography scans for predicting the in-hospital mortality of liver cirrhosis.

Ran Wang, Xingshun Qi, Xiaozhong Guo

Abstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. AI-assisted ascites volumetry for prognostic stratification in HCC treated with Atezolizumab/Bevacizumab.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
    Article
  2. Feline Peritoneal Effusions-A Poor Prognosis?Animals : an open access journal from MDPI · 2025
    Article
  3. Article
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  7. Review
  8. Article
  9. Article
  10. Paracentesis Model for Junior Doctors.Clinical liver disease · 2018
    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.

Ran WangLiver Cirrhosis Study Group, Department of Gastroenterology, General Hospital of Shenyang Military Region, Shenyang, Liaoning 110840, P.R. China.
Xingshun QiLiver Cirrhosis Study Group, Department of Gastroenterology, General Hospital of Shenyang Military Region, Shenyang, Liaoning 110840, P.R. China.
Xiaozhong GuoLiver Cirrhosis Study Group, Department of Gastroenterology, General Hospital of Shenyang Military Region, Shenyang, Liaoning 110840, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ascites is among the most common complications of liver cirrhosis and is associated with a high mortality rate. The present retrospective study aimed to evaluate the potential correlation between in-hospital mortality of liver cirrhosis and volume of ascites. Patients with liver cirrhosis who were admitted to the General Hospital of Shenyang Military Region (Shenyang, China) between June 2012 and June 2014 and underwent axial abdomino-pelvic computed tomography (CT) scans were retrospectively reviewed. The volume of ascites was approximated using a five-point method, and diagnostic accuracy was expressed by the area under the receiver operating characteristic curves (AUROCs) with 95% confidence intervals (CIs). Of the 177 patients reviewed in the present study, 117 (61.10%) exhibited ascites on CT scans, and the in-hospital mortality rate was 4.52% (8/177). Child-Pugh and model for end-stage liver disease (MELD) scores were significantly increased in the presence of ascites (P<0.001). The in-hospital mortality rate did not differ significantly between patients with and without ascites (P=0.052). In patients with ascites >300 ml (n=72), the AUROCs of the Child-Pugh score, MELD score, and ascites volume for predicting in-hospital mortality were 0.939 (95% CI, 0.856-0982), 0.952 (95% CI, 0.873-0.988), and 0.782 (95% CI, 0.668-0.871), respectively. These AUROCs did not differ significantly. In conclusion, quantification of ascites may aid to predict the in-hospital mortality rate of cirrhotic patients.

Indexed as

ascitescirrhosisfive-point methodin-hospital mortalityprognosis

Identifiers

PMID29285115
PMCPMC5740797

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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.