Evidence map›Paper›PMID 41415083›Full record

ArticleAmerican journal of translational research2025

Predictive model for low-molecular-weight heparin ineffectiveness in pregnant and postpartum women with intracranial venous sinus thrombosis: a multicenter study.

Xi Ye, Xiangfeng Zhang, Le Yu, Xuanxuan Hong, Fei Wang, Liehong Wang

Abstract read
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Article in American journal of translational research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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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.

Xi YeMedical College of Qinghai University Xining, Qinghai, China.
Xiangfeng ZhangObstetrics and Gynecology Department, Hefei Eighth People's Hospital Hefei, Anhui, China.
Le YuObstetrics and Gynecology Department, Anhui Provincial Second People's Hospital Hefei, Anhui, China.
Xuanxuan HongMedical College of Qinghai University Xining, Qinghai, China.
Fei WangMedical College of Qinghai University Xining, Qinghai, China.
Liehong WangQinghai Red Cross Hospital Xining, Qinghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop a risk prediction model for low-molecular-weight heparin (LMWH) ineffectiveness in pregnant women with intracranial venous sinus thrombosis (CVST), enabling early identification of high-risk patients.

methodsA retrospective analysis was conducted on 221 pregnant or postpartum CVST patients treated with LMWH at seven Chinese hospitals between January 2010 and January 2025. Patients were divided into effective (191 cases) and ineffective (30 cases) treatment groups. Logistic regression identified predictors, which were then used to develop a risk prediction model.

resultsUnivariate analysis revealed significant factors associated with treatment ineffectiveness: Coronavirus Disease 2019 (COVID-19), hyperthyroidism, platelet (PLT) count, antithrombin III (AT-III), homocysteine (Hcy), low-density lipoprotein cholesterol (LDL-C), protein C, and protein S (all

conclusionsThe developed predictive model, incorporating COVID-19, protein S, and Hcy, effectively assesses the risk of LMWH ineffectiveness in pregnant women with CVST, supporting clinical decision-making.

Indexed as

logistic regression analysislow-molecular-weight heparin therapypredictive modelingPregnancy-associated intracranial venous sinus thrombosistreatment ineffectiveness

Identifiers

PMID41415083
PMCPMC12709343

What Socratic 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 Socratic graph.