Evidence map›Paper›PMID 37602362›Full record

ArticleRisk management and healthcare policy2023

Predicting the Severity of Esophageal Varices in Patients with Hepatic Cirrhosis Using Non-Invasive Markers.

Yang-Chun Du, Dan Jiang, Ji Wu

Open access · goldAbstract read
In one paragraph

Article in Risk management and healthcare policy, 2023. 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
0.4field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. [An analysis of related factors in thrombocytopenia combined with cirrhosis: a cross-sectional study of 2 517 cases].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2024
    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

3 authors at 1 institution in 1 country.

Yang-Chun Du *Department of Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, People's Republic of China.
Dan Jiang *Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, People's Republic of China.
Ji WuDepartment of Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, People's Republic of China.
First Affiliated Hospital of GuangXi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The presence and extent of severity of esophageal varices (EV) in patients with liver cirrhosis (LC) are predicted using noninvasive clinical, biochemical, and imaging parameters. The aim of this study was to investigate the accuracy of noninvasive predictors of EV, such as the platelet count-to-spleen diameter ratio (PSR), platelet count-to-spleen volume ratio (PSVR), spleen size (SZ), and a combination of these markers in determining the severity of EV in patients with cirrhosis. Methods: We recruited 82 inpatients with LC from the Department of Gastroenterology at the First Affiliated Hospital of Guangxi Medical University between January 2018 and December 2019 for this diagnostic investigation. All patients underwent endoscopy, ultrasound, computed tomography, and routine laboratory investigations. For the study, we evaluated and compared the diagnostic accuracy of PSR, PSVR, SZ, and their combinations. Results: There were significant differences in the area under the receiver operating characteristic (ROC) curve (AUC) in the prediction of severe and moderate/severe EV for all the variables. PSR+PSVR had the highest AUC at 0.735 (95% CI: 0.626-0.826) and 0.765 (95% CI: 0.659-0.852) for predicting severe and moderate/severe EV, respectively. There were statistically significant differences in the AUCs (95% CI) for PSR, PSVR, and PSR+PSVR in predicting the existence of EV. As per the overall model quality chart, the combination of PSR+PSVR was the best indicator for detecting the presence of EV (AUC, 0.696; 95% CI: 0.584-0.792). Conclusion: In our study, we found that these noninvasive parameters could predict the extent of severity of EV in patients with LC. We anticipate the use of a combination of PSR + PSVR to emerge as the superior indicator as studies progress.

Indexed as

esophageal varicesliver cirrhosisnoninvasive predictorsplatelet count-to-spleen diameter ratioplatelet count-to-spleen volume ratiospleen size

Identifiers

PMID37602362
PMCPMC10439804
OpenAlexW4385841052

What OpenQuestion holds

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LicenceCC BY-NC
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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.