Evidence map›Paper›PMID 41864535›Full record

ArticleJournal of vascular surgery. Venous and lymphatic disorders2026

The Caprini score for venous thromboembolism risk assessment: A scoping review of applications, validation, and future directions.

Junbao Zhang, Yuanyi Jiang, Daibing Zhou, Ning Zhu

Abstract readScoping Review
In one paragraph

Article in Journal of vascular surgery. Venous and lymphatic disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Evolution of the Caprini risk assessment score: 1991 to present: A living risk assessment tool.Journal of vascular surgery. Venous and lymphatic disorders · 2026
    Article
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

4 authors.

Junbao ZhangDepartment of Pulmonary and Critical Care Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Yuanyi JiangDepartment of Preventive Medicine, Xiangnan University, Chenzhou, Hunan, China.
Daibing ZhouDepartment of Pulmonary and Critical Care Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Ning ZhuDepartment of Pulmonary and Critical Care Medicine, Huashan Hospital, Fudan University, Shanghai, China. Electronic address: doctorzhuning@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to characterize the contemporary academic landscape surrounding the Caprini venous thromboembolism (VTE) risk assessment model (RAM), including its application patterns, reported performance, evolving scholarly perspectives, and dominant refinement strategies.

methodsA scoping review was conducted following the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews framework. PubMed, Web of Science, Embase, and the Cochrane Library were systematically searched for studies published between January 1, 2021, and December 31, 2025, using terms including "Caprini score," "venous thromboembolism," and "risk assessment." Eligible studies reported on the validation, application, or modification of the Caprini RAM in adult patients. Data on study characteristics, predictive performance metrics (eg, area under the curve [AUC]), author conclusions, and model refinement details were extracted.

resultsFrom 754 identified records, 275 studies met the inclusion criteria. Analysis of 275 studies with codable author perspectives revealed a distribution of supportive (113 studies; 41.1%), neutral (96 studies; 34.9%), and critical (66 studies; 24.0%) stances. Fifty-two studies providing paired AUC data reported a mean baseline Caprini score AUC of 0.702 (standard deviation [SD], 0.104), compared with a mean AUC of 0.832 (SD, 0.080) for refined or new models. The mean AUC improvement was 0.130 (SD, 0.117), with a median improvement of 0.105 (interquartile range, 0.106); improvements were observed in 98.1% of these comparisons. Critical perspectives frequently cited poor accuracy in specific populations (eg, medical inpatients) and operational complexity. In response, 111 studies proposed refinements categorized into four domains: integration of biomarkers (33 studies), development of specialty-specific/simplified models (45 studies), application of artificial intelligence/machine learning (23 studies), and optimization of assessment processes (30 studies).

conclusionsThis review quantifies a fragmented scholarly discourse on the Caprini RAM, reflecting its validated utility in certain contexts alongside recognized limitations driving extensive model refinement. The significant performance gains reported for refined models, particularly in specialties where the original score underperforms, highlight the ongoing evolution of VTE risk assessment toward more precise and context-adapted tools.

Indexed as

Decision Support TechniquesVenous ThromboembolismHumansPredictive Value of TestsPrognosisReproducibility of ResultsRisk AssessmentRisk FactorsCaprini scorePredictive performanceRisk assessmentScoping reviewVenous thromboembolism

Identifiers

PMID41864535
PMCPMC13103558

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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.