Evidence map›Paper›PMID 35252265›Full record

ArticleFrontiers in medicine2022

A Nomogram for Predicting Portal Hypertensive Gastropathy in Patients With Liver Cirrhosis: A Retrospective Analysis.

WenSheng Wang, ZhiYong Mu, GuangXi Zhu, Tao Wang, ShuJie Lai, Yan Guo, XinRu Yin, LiangZhi Wen, DongFeng Chen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2022. 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
–field-weighted citation impact, top 98% 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, 0 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

9 authors at 2 institutions in 1 country.

WenSheng WangDepartment of Gastroenterology, Daping Hospital, Army Medical University, Chongqing, China.
ZhiYong MuDepartment of Gastroenterology, Daping Hospital, Army Medical University, Chongqing, China.
GuangXi ZhuDepartment of Gastroenterology, Daping Hospital, Army Medical University, Chongqing, China.
Tao WangDepartment of Gastroenterology, Daping Hospital, Army Medical University, Chongqing, China.
ShuJie LaiDepartment of Gastroenterology, Daping Hospital, Army Medical University, Chongqing, China.
Yan GuoDepartment of Gastroenterology, Daping Hospital, Army Medical University, Chongqing, China.
XinRu YinDepartment of Gastroenterology, Daping Hospital, Army Medical University, Chongqing, China.
LiangZhi WenDepartment of Gastroenterology, Daping Hospital, Army Medical University, Chongqing, China.
DongFeng ChenDepartment of Gastroenterology, Daping Hospital, Army Medical University, Chongqing, China.
Army Medical University · CNDaping Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is an urgent need for non-invasive methods for predicting portal hypertensive gastropathy (PHG). This study aims to develop and validate a non-invasive method based on clinical parameters for predicting PHG in patients with liver cirrhosis (LC).

methodsThe overall survival (OS) and hepatocellular carcinoma (HCC)-free survival were evaluated in LC patients, both with and without PHG. A prediction model for PHG was then constructed based on a training dataset that contained data on 492 LC patients. The discrimination, calibration, and clinical utility of the predicting nomogram were assessed using the C-index, calibration plot, and decision curve analysis. Internal validation was conducted using a bootstrapping method, and further external validation using data on the 208 other patients.

resultsLC patients with PHG had a worse prognosis compared with those without PHG. A nomogram was constructed using clinical parameters, such as age, hemoglobin content, platelet count and Child-Pugh class. The C-index was 0.773 (95% CI: 0.730-0.816) in the training cohort, 0.761 after bootstrapping and 0.745 (95% CI: 0.673-0.817) in the validation cohort. The AUC values were 0.767, 0.724, and 0.756 in the training, validation and total cohorts, respectively. Well-fitted calibration curves were observed in the training and validation cohorts. Decision curve analysis demonstrated that the nomogram was clinically useful at a threshold of 15%.

conclusionThe nomogram constructed to predict the risk of developing PHG was found to be clinically viable. Furthermore, PHG is an independent risk factor for OS of LC, but not for the occurrence of HCC.

Indexed as

cirrhosislogistic regressionnomogramportal hypertensive gastropathypredictors

Identifiers

PMID35252265
PMCPMC8894675
OpenAlexW4212983484

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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.