Evidence map›Paper›PMID 35060835›Full record

ArticleAnnals of medicine2022

A practical nomogram based on systemic inflammatory markers for predicting portal vein thrombosis in patients with liver cirrhosis.

Yueyi Xing, Zibin Tian, Yueping Jiang, Ge Guan, Qinghui Niu, Xueguo Sun, Rongshuang Han, Xue Jing

Open access · goldAbstract read
In one paragraph

Article in Annals of medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
6.5field-weighted citation impact, top 2% 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

35 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
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  10. [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
    Review
  11. Article
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  14. Construction of a Nomogram for Portal Vein Thrombosis After Endoscopic Therapy of Severe Gastroesophageal Varices in Cirrhotic Patients.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2025
    Article
  15. Article
  16. [Effect of portal vein thrombosis on the long-term prognosis of patients with hepatitis B 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

8 authors at 2 institutions in 1 country.

Yueyi XingGastroenterology Department, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Zibin TianGastroenterology Department, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Yueping JiangGastroenterology Department, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Ge GuanLiver Disease Center, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Qinghui NiuLiver Disease Center, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Xueguo SunGastroenterology Department, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Rongshuang HanGastroenterology Department, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Xue JingGastroenterology Department, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Affiliated Hospital of Qingdao University · CNQingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionImmunothrombosis has recently been used to describe the responses/mechanisms in thrombosis. Systemic inflammatory markers are prognostic markers for a variety of thrombotic conditions; however, their potential value in predicting portal vein thrombosis (PVT) is unknown. This study aimed to establish an easy-to-use nomogram based on systemic inflammatory markers to predict portal vein thrombosis (PVT) in patients with liver cirrhosis. PATIENTS AND

methodsThis retrospective study included 478 patients with cirrhosis between January 2013 and January 2021. Reputed systemic inflammatory markers (systemic immune-inflammation index [SII], neutrophil-to-lymphocyte ratio [NLR], monocyte-to-lymphocyte ratio [MLR], and platelet-to-lymphocyte ratio (PLR)) were measured, and the clinical data were recorded. The independent risk factors for PVT were determined using univariate analyses and multivariate logistic regression analyses, and a nomogram to predict the occurrence of PVT was established. The concordance index, receiver operating characteristic curves, and calibration plots were used to evaluate the performance of the model.

resultsA total of 239 patients with PVT and 239 patients without PVT were selected. In the univariate analysis, high SII, NLR, PLR, and MLR were significantly associated with PVT. NLR and PLR were independent risk factors for PVT (

conclusionsPVT in patients with cirrhosis is associated with increased levels of systemic inflammatory markers. We successfully developed a practical nomogram based on NLR and PLR to accurately predict PVT, which is a practical method helping clinicians rapidly and conveniently diagnose and guide the treatment of PVT in patients with cirrhosis.Key MessagesThe present study is the first report on a nomogram based on systemic inflammatory markers in patients with portal vein thrombosis (PVT).The nomogram had good predictive efficiency and a good clinical application value for predicting PVT in patients with cirrhosis.

Indexed as

NomogramsThrombosisHumansLiver CirrhosisPortal VeinRetrospective StudiesLiver cirrhosismonocyte-to-lymphocyte ratio platelet-to-lymphocyte ratioportal vein thrombosissystemic immune-inflammation index neutrophil-to-lymphocyte ratiosystemic inflammatory markers inflammatory indicators

Identifiers

PMID35060835
PMCPMC8786242
OpenAlexW4206541276

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.