Evidence map›Paper›PMID 39318323›Full record

SynthesisClinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis

Risk Prediction Models for Preoperative Deep Vein Thrombosis in Older Patients with Hip Fracture: A Systematic Review and Meta-Analysis.

Huali Guo, Kuankuan Xu, Fangfang Deng, Qingqing Chen, Jie Liang, Kun Zhang

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  10. Optimizing Preoperative Venous Thromboembolism Risk Assessment in Elderly Hip Fracture Patients: A Refined Caprini Model Integrating D-Dimer and Injury-to-Admission Time.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Article
  11. Preoperative Venous Thromboembolism in Elderly Patients with Hip Fractures: Independent Risk Factors and Interactions Between D-Dimer and Clinical Variables.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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

6 authors.

Huali GuoDepartment of Orthopaedics, The First College of Clinical Medical Science, China Three Gorges University/Yichang Central People's Hospital, Yichang, Hubei, China.
Kuankuan XuRadiology Department, The First College of Clinical Medical Science, China Three Gorges University/Yichang Central People's Hospital, Yichang, Hubei, China.
Fangfang DengDepartment of Orthopaedics, The First College of Clinical Medical Science, China Three Gorges University/Yichang Central People's Hospital, Yichang, Hubei, China.
Qingqing ChenDepartment of Orthopaedics, The First College of Clinical Medical Science, China Three Gorges University/Yichang Central People's Hospital, Yichang, Hubei, China.
Jie LiangDepartment of Orthopaedics, The First College of Clinical Medical Science, China Three Gorges University/Yichang Central People's Hospital, Yichang, Hubei, China.
Kun ZhangDepartment of Orthopaedics, The First College of Clinical Medical Science, China Three Gorges University/Yichang Central People's Hospital, Yichang, Hubei, China.ORCID 0009-0005-7586-7199

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo systematically assess the risk prediction models for preoperative deep vein thrombosis in older patients with hip fractures.

methodWe searched four databases for literature through November 17, 2023. We included patients aged ≥60 with hip fractures and considered English-language case-control or cohort studies that focused on developing and/or validating risk prediction models for DVT in this population. Excluded were studies that solely analyzed risk factors without constructing a prediction model, had fewer than 2 predictive variables, or were not available in full-text or were duplicate publications. The Predictive Model Bias Risk Assessment tool was utilized to evaluate risk of bias. The area under the curve (AUC) values were meta-analyzed using R Studio software. The I

resultsA total of 1880 studies were gathered. Out of these, seven studies were included, encompassing 8 models. The most commonly utilized factors in the models were D-dimer and the time from injury to admission. The pooled AUC value for the validation of 8 models was 0.84 (95% confidence interval: 0.80-0.87), indicating robust model performance.

conclusionCurrent risk prediction models for preoperative DVT in elderly hip fracture patients are still in the developmental phase. Future research should focus on developing new models with larger sample sizes, robust study designs, and multicenter external validation.

Indexed as

Hip FracturesVenous ThrombosisAgedAged, 80 and overFemaleHumansMaleRisk AssessmentRisk Factorsdeep vein thrombosiship fracturemodelpredictionsystematic review

Identifiers

PMID39318323
PMCPMC11425752

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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.