Evidence map›Paper›PMID 42893103›Full record

ArticleResearch and practice in thrombosis and haemostasis2026

Association of the sarcopenia index based on the serum creatinine to cystatin C ratio and genetic risk with venous thromboembolism: a population-based cohort study.

Yuyang Sun, Tingting Liu, Jun Deng, Xi Cao, Liang Tang, Xingjie Hao, Yu Hu

Abstract read
In one paragraph

Article in Research and practice in thrombosis and haemostasis, 2026. 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

The trial behind it

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3 · Its place in the literature

Who cites it

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Yuyang SunDepartment of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Tingting LiuDepartment of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Jun DengDepartment of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Xi CaoDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Liang TangDepartment of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Xingjie HaoDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Yu HuDepartment of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Venous thromboembolism (VTE) results from the interplay between environmental and genetic factors. The relationship between sarcopenia index (SI) and VTE risk remains unclear. The combined effects of SI and genetic susceptibility on VTE risk have not been fully elucidated. We therefore investigated these associations using data from the UK Biobank. Methods: Cox proportional hazards models were used to assess the relationship between SI and genetic susceptibility with incident VTE. Restricted cubic spline models were applied to examine the exposure-response relationships. Results: Among 447,681 participants, 12,008 developed VTE during a median follow-up of 13.4 years. Higher SI was associated with a lower risk of VTE. The fully adjusted hazard ratios (HRs) for Q2 to Q4 vs Q1 were 0.88 (95% CI, 0.83-0.92), 0.82 (95% CI, 0.78-0.87), and 0.77 (95% CI, 0.72-0.82), respectively. Restricted cubic spline analysis showed an inverse nonlinear association between SI and VTE ( Conclusion: Participants with lower SI had a significantly higher risk of VTE. Consistent with previous UK Biobank findings, higher polygenic risk score levels were associated with an increased risk of VTE. Moreover, participants with both low SI levels and high genetic risk exhibited the greatest risk of VTE. These findings suggest that SI may serve as a simple and accessible marker for identifying individuals at elevated risk of VTE.

Indexed as

CreatinineCystatin CSarcopeniaVenous ThromboembolismAdultAgedBiomarkersFemaleGenetic Predisposition to DiseaseGenetic Risk ScoreHumansIncidenceMaleMiddle AgedProportional Hazards ModelsRisk AssessmentBiomarkersCreatinineCystatin Ccohort studygenetic susceptibilityrisk factorsarcopenia indexvenous thromboembolism

Identifiers

PMID42893103
PMCPMC13676263

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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.