Evidence map›Paper›PMID 39696493›Full record

ArticleEuropean journal of medical research2024

Diagnostic value of thromboelastogram and thrombus molecular markers in early detection of deep vein thrombosis in patients with lower extremity fracture.

E Jianfei, Mao Zheng, Wei Wei, Shaoping He, Chengliang Yuan, Zongyao Chen

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Article in European journal of medical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers 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

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Perioperative Deep Vein Thrombosis in Elderly Patients with Lower Extremity Fracture: A Comprehensive Review of Anesthetic Management Strategies.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Review
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

E JianfeiDepartment of Clinical Laboratory, People's Hospital of Deyang City, Deyang, China.
Mao ZhengDepartment of Clinical Laboratory, People's Hospital of Deyang City, Deyang, China.
Wei WeiDepartment of Clinical Laboratory, People's Hospital of Deyang City, Deyang, China.
Shaoping HeDepartment of Clinical Laboratory, People's Hospital of Deyang City, Deyang, China.
Chengliang YuanDepartment of Clinical Laboratory, People's Hospital of Deyang City, Deyang, China.
Zongyao ChenDepartment of Clinical Laboratory, People's Hospital of Deyang City, Deyang, China. chenzyao@yeah.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDeep vein thrombosis (DVT) is an obstructive disease with a hindering venous reflux mechanism. The aim of this study was to identify independent risk factors for deep vein thrombosis (DVT) in patients with traumatic lower extremity fractures and assess the diagnostic value of thromboelastogram (TEG) and thrombus molecular markers.

methodsReviewed patients with lower extremity fractures were admitted from October 2022 to September 2023. DVT was screened using color Doppler ultrasonography postoperation. Patients were categorized into two groups: those with DVT (n = 61) and those without (n = 191). Logistic regression was utilized to analyze DVT risk factors in these patients, and the diagnostic effectiveness of each marker was determined using the receiver operating characteristic curve (ROC curve).

resultsSignificant differences were found in the incidence of hip (44.8%), and tibia (16.4%) fractures in the DVT groups (P < 0.001). Elevated levels of tPAIC, PIC, sTM, TAT, APTT, and TEG parameters (angle, MA, and CI) were observed in the DVT group (P < 0.05). Multivariate logistic regression revealed that PIC, sTM, TAT, angle, MA, CI, Caprini score, and hip fracture were significant risk factors for DVT.

conclusionsPatients with hip fractures showed a higher incidence of perioperative DVT. Factors such as PIC, sTM, TAT, angle, MA, CI, Caprini score, and hip fracture significantly contributed to the risk of DVT in traumatic lower limb fractures. Both thromboelastogram and thrombus molecular markers demonstrated strong diagnostic capabilities in the early detection of DVT, with comparable diagnostic efficiency.

Indexed as

BiomarkersLower ExtremityThrombelastographyVenous ThrombosisAdultAgedEarly DiagnosisFemaleFractures, BoneHumansMaleMiddle AgedRetrospective StudiesRisk FactorsROC CurveBiomarkersComparative studyDeep vein thrombosisThromboelastogramThrombus molecular markersTraumatic fracture

Identifiers

PMID39696493
PMCPMC11657810

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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.