Evidence map›Paper›PMID 39736660›Full record

ArticleBMC surgery2024

Combination of age-adjusted d-dimer, platelet distribution width and other factors predict preoperative deep venous thrombosis in elderly patients with femoral neck fracture.

Yunsong Li, Pengkai Cao, Tianyi Zhu, Yaqi Wang, Fengkai Wang, Liang Li, Xiangdong Liu, Yanrong Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. [Incidence and risk factor analysis for preoperative deep vein thrombosis in patients with periprosthetic hip fractures].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2026
    Article
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  5. 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

8 authors.

Yunsong LiDepartment of Vascular Surgery, the Third Hospital of Hebei Medical University, Shijiazhuang, 050051, Hebei, P.R. China. surgeonysl007@126.com.
Pengkai CaoDepartment of Vascular Surgery, the Third Hospital of Hebei Medical University, Shijiazhuang, 050051, Hebei, P.R. China.
Tianyi ZhuDepartment of Clinical Laboratory, the Third Hospital of Hebei Medical University, Shijiazhuang, 050051, Hebei, P.R. China.
Yaqi WangDepartment of Vascular Surgery, the Third Hospital of Hebei Medical University, Shijiazhuang, 050051, Hebei, P.R. China.
Fengkai WangDepartment of Vascular Surgery, the Third Hospital of Hebei Medical University, Shijiazhuang, 050051, Hebei, P.R. China.
Liang LiDepartment of Vascular Surgery, the Third Hospital of Hebei Medical University, Shijiazhuang, 050051, Hebei, P.R. China.
Xiangdong LiuDepartment of Vascular Surgery, the Third Hospital of Hebei Medical University, Shijiazhuang, 050051, Hebei, P.R. China.
Yanrong ZhangDepartment of Vascular Surgery, the Third Hospital of Hebei Medical University, Shijiazhuang, 050051, Hebei, P.R. China. yanrongzhang@hebmu.edu.cn.

Funding

Medical Science Research Project of Hebei Province 20170665
6 · The paper itself

Abstract

purposeThis retrospective cohort study aimed to identify factors associated with preoperative deep venous thrombosis (DVT) in elderly patients with femoral neck fractures, and to investigate whether combining these factors could improve the ability to predict DVT.

methodMedical records and laboratory test results were reviewed patients presenting with a femoral neck fracture and receiving routine chemoprophylaxis for DVT between January 2020 and December 2023 in a tertiary referral, university-affiliated hospital. Preoperative DVT was confirmed by Doppler ultrasound or CT venography. Demographic, injury, comorbidity, and laboratory variables were analyzed using univariate and multivariate approaches. The performance of combined predictive factors was evaluated using receiver operating characteristic (ROC) curve analysis.

resultsAmong the 499 patients included, 47 (9.4%) were diagnosed with a preoperative DVT. In the univariate analysis, five variables were found to be statistically significant, including alcohol consumption (P = 0.017), history of renal disease (P < 0.001), elevated D-dimer level (both traditional and age-adjusted cut-off used) (P = 0.007 or < 0.003), increased platelet distribution width (PDW) (P < 0.001) and reduced albumin in continuous or categorical variable (P = 0.027, P = 0.002). Multivariate analysis confirmed all except alcohol consumption as independent predictors (all P < 0.05). ROC curve analysis showed that combining these four significant variables with age improved the ability to predict preoperative DVT, with an area under the curve of 0.749 (95% CI: 0.676-0.822, P < 0.001), sensitivity of 0.617, and specificity of 0.757.

conclusionThis study identified several factors associated with preoperative DVT, and combining them demonstrated improved performance in predicting DVT, which can facilitate risk assessment, stratification and improved management in clinical practice.

Indexed as

Femoral Neck FracturesFibrin Fibrinogen Degradation ProductsVenous ThrombosisAgedAged, 80 and overAge FactorsFemaleHumansMalePredictive Value of TestsPreoperative PeriodRetrospective StudiesRisk FactorsROC CurveFibrin Fibrinogen Degradation Productsfibrin fragment DAge-adjusted D-dimerDeep venous thrombosisFemoral neck fractureRisk assessment and stratification

Identifiers

PMID39736660
PMCPMC11686841

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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.