Evidence map›Paper›PMID 40356968›Full record

ArticleFrontiers in pharmacology2025

Prevalence, risk characteristics, and prediction of low-dose edoxaban treatment in hospitalized patients: a multicenter, observational cohort study.

Shujuan Zhao, Hengfen Dai, Jiaxin Chen, Ming Ni, Wenxing Peng, Xiaoyu Li, Fen Li, Boya Chen, Haixia Cai, Yinping Liu and 1 more

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 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

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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Shujuan ZhaoDepartment of Pharmacy, Henan Provincial People's Hospital, School of Clinical Medicine, People's Hospital of Zhengzhou University, Henan University, Zhengzhou, Henan, China.
Hengfen DaiDepartment of Pharmacy, Affiliated Fuzhou First Hospital of Fujian Medical University, Fuzhou, Fujian, China.
Jiaxin ChenDepartment of Pharmacy, Ningde Municipal Hospital Affiliated to Ningde Normal University, Ningde, Fujian, China.
Ming NiDepartment of Clinical Pharmacy, Fuwai Central China Cardiovascular Hospital, Zhengzhou, Henan, China.
Wenxing PengDepartment of Pharmacy, Beijing Anzhen Hospital of Capital Medical University, Beijing, China.
Xiaoyu LiDepartment of Pharmacy, Central's Hospital of Xinxiang, Xinxiang, Henan, China.
Fen LiDepartment of Pharmacy, The First People's Hospital of Xinxiang, Xinxiang, Henan, China.
Boya ChenDepartment of Pharmacy, Henan Provincial People's Hospital, School of Clinical Medicine, People's Hospital of Zhengzhou University, Henan University, Zhengzhou, Henan, China.
Haixia CaiDepartment of Pharmacy, Henan Provincial People's Hospital, School of Clinical Medicine, People's Hospital of Zhengzhou University, Henan University, Zhengzhou, Henan, China.
Yinping LiuDepartment of Pharmacy, Henan Provincial People's Hospital, School of Clinical Medicine, People's Hospital of Zhengzhou University, Henan University, Zhengzhou, Henan, China.
Song DuDepartment of Cardiovascular Medicine, Henan Provincial People's Hospital, School of Clinical Medicine, People's Hospital of Zhengzhou University, Henan University, Zhengzhou, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Treatment with a low-dose non-vitamin K antagonist oral anticoagulant (NOAC) is common among hospitalized patients, and a model to predict the need for such treatment would support individualized interventions. This study evaluated the prevalence of low-dose edoxaban treatment and developed and evaluated a model to predict low-dose administration of edoxaban among hospitalized patients. Methods: This study included 1208 inpatients with non-valvular atrial fibrillation (NVAF) or venous thromboembolism (VTE) who were treated with edoxaban. Univariate and multivariate analyses identified variables significantly associated with low-dose edoxaban therapy. Least absolute shrinkage and selection operator (LASSO) regression was used for data dimension reduction and selection of the best variables. A nomogram was built based on the predictive variables for easy visualization. Model performance was evaluated, and the model was further validated internally with 1000 bootstrap resamples. Results: The prevalence of low-dosing edoxaban treatment was 65.98% (797/1208). The predictors of edoxaban included in the final nomogram were age, weight, surgery or operation, anticoagulation indication, the use of antiarrhythmic drugs, anemia, and bleeding history. The model showed good discrimination with an area under the curve value of 0.792. The Hosmer‒Lemeshow test showed that the model had satisfactory goodness of fit (χ Conclusion: The developed predictive model for low-dose edoxaban use among hospitalized patients was built using seven readily available variables and showed good performance. This study provides an empirical basis for early detection and intervention using a low-dose NOAC.

Indexed as

bootstrapLASSOlow-dosenon-vitamin K antagonist oral anticoagulantsprediction modelrisk factors

Identifiers

PMID40356968
PMCPMC12066837

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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.