Evidence map›Paper›PMID 34075015›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2021

Nomogram Model for Prediction of Portal Vein Thrombosis in Patients with Liver Cirrhosis After Splenectomy: A Retrospective Analysis of 2 Independent Cohorts.

Hai-Liang Yuan, Min Wang, Wei-Wei Chu, Fang-Xian Li, Jing-Jing Lu, Yan Li

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 16 citations in OpenAlex.

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  5. [Research progress on predictive models of portal vein thrombosis in liver cirrhosis].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2025
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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

6 authors at 2 institutions in 1 country.

Hai-Liang YuanDepartment of Gastroenterology, Zhejiang University School of Medicine, First Affiliated Hospital, Beilun Branch, Ningbo, Zhejiang, China (mainland).
Min WangDepartment of Liver Diseases, The First Affiliated Hospital of Nanchang University, Nanchang, Jangxi, China (mainland).
Wei-Wei ChuDepartment of Gastroenterology, Zhejiang University School of Medicine, First Affiliated Hospital, Beilun Branch, Ningbo, Zhejiang, China (mainland).
Fang-Xian LiDepartment of Gastroenterology, Zhejiang University School of Medicine, First Affiliated Hospital, Beilun Branch, Ningbo, Zhejiang, China (mainland).
Jing-Jing LuDepartment of Gastroenterology, Zhejiang University School of Medicine, First Affiliated Hospital, Beilun Branch, Ningbo, Zhejiang, China (mainland).
Yan LiDepartment of Gastroenterology, Zhejiang University School of Medicine, First Affiliated Hospital, Beilun Branch, Ningbo, Zhejiang, China (mainland).
Zhejiang University · CNFirst Affiliated Hospital of Nanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND The aim of this study was to establish and validate an easy-to-use nomogram to predict portal vein thrombosis (PVT) in patients with cirrhosis after splenectomy and to test its predictive ability. MATERIAL AND METHODS This retrospective study included 315 patients with cirrhosis who underwent splenectomy at 2 high-volume medical centers. The least absolute shrinkage and selection operator (LASSO) regression method was used to select the predictors in the training cohort, and multivariable logistic regression analysis was performed to establish the predictive nomogram model. We determined the prediction value of the nomogram by the area under the receiver operating characteristic curve (AUROC), the calibration curve, and decision curve analysis. Finally, the applicability of the nomogram was internally and independently validated. RESULTS The predictors of PVT included portal vein diameter, splenic vein diameter, body mass index, and platelet count. Based on the clinical and radiomic models, the nomogram had good predictive efficiency for predicting PVT in patients with cirrhosis after splenectomy, with an AUROC of 0.887 (0.856 in internal validation and 0.796 in independent validation). The decision curve analysis revealed that the nomogram had good clinical application value. CONCLUSIONS We successfully developed an easy-to-use nomogram to predict the probability of PVT in patients with cirrhosis after splenectomy. The nomogram can help clinicians make timely, individualized clinical decisions for PVT in patients with cirrhosis after splenectomy.

Indexed as

Liver CirrhosisNomogramsVenous ThrombosisBody Mass IndexChinaClinical Decision RulesFemaleHumansMaleMiddle AgedOrgan SizePlatelet CountPortal VeinPrognosisRetrospective StudiesRisk Assessment

Identifiers

PMID34075015
PMCPMC8183155
OpenAlexW3136314162

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.