Evidence map›Paper›PMID 33362377›Full record

ArticleWorld journal of gastroenterology2020

Liver fibrosis index-based nomograms for identifying esophageal varices in patients with chronic hepatitis B related cirrhosis.

Shi-Hao Xu, Fang Wu, Le-Hang Guo, Wei-Bing Zhang, Hui-Xiong Xu

Open access · hybridAbstract read
In one paragraph

Article in World journal of gastroenterology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Shi-Hao XuDepartment of Medical Ultrasound, Shanghai Tenth People's Hospital of Nanjing Medical University, Shanghai 200072, China.
Fang WuDepartment of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang Province, China.
Le-Hang GuoDepartment of Medical Ultrasound, Shanghai Tenth People's Hospital of Nanjing Medical University, Shanghai 200072, China.
Wei-Bing ZhangDepartment of Medical Ultrasound, Shanghai Tenth People's Hospital of Nanjing Medical University, Shanghai 200072, China.
Hui-Xiong XuDepartment of Medical Ultrasound, Shanghai Tenth People's Hospital of Nanjing Medical University, Shanghai 200072, China. xuhuixiong@126.com.
Wenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEsophageal varices (EV) are the most fatal complication of chronic hepatitis B (CHB) related cirrhosis. The prognosis is poor, especially after the first upper gastrointestinal hemorrhage.

aimTo construct nomograms to predict the risk and severity of EV in patients with CHB related cirrhosis.

methodsBetween 2016 and 2018, the patients with CHB related cirrhosis were recruited and divided into a training or validation cohort at The First Affiliated Hospital of Wenzhou Medical University. Clinical and ultrasonic parameters that were closely related to EV risk and severity were screened out by univariate and multivariate logistic regression analyses, and integrated into two nomograms, respectively. Both nomograms were internally and externally validated by calibration, concordance index (C-index), receiver operating characteristic curve, and decision curve analyses (DCA).

resultsA total of 307 patients with CHB related cirrhosis were recruited. The independent risk factors for EV included Child-Pugh class [odds ratio (OR) = 7.705, 95% confidence interval (CI) = 2.169-27.370,

conclusionNomograms incorporating clinical and ultrasonic variables are efficient in noninvasively predicting the risk and severity of EV.

Indexed as

Esophageal and Gastric VaricesHepatitis B, ChronicHumansLiver CirrhosisNomogramsPortal VeinROC CurveChronic hepatitis BCirrhosisDecision curve analysisEsophageal varicesNomogramReal-time tissue elastography

Identifiers

PMID33362377
PMCPMC7723663
OpenAlexW3110746762

What OpenQuestion holds

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Registered trials

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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.