Evidence map›Paper›PMID 40593178›Full record

ArticleScientific reports2025

Establishment and validation of a predictive nomogram for preoperative deep vein thrombosis in elderly patients with isolated femoral neck fracture.

Tianyu Wang, Hongyuan Yin, Chengsi Li, Changhui Li, Dongwei Wu, Zhenbang Yang, Xuebin Zhang, Yingze Zhang, Yanbin Zhu

Abstract readValidation Study
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

  1. [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
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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

9 authors.

Tianyu Wang *Department of Orthopaedic Surgery, Hebei Medical University Third Hospital, Shijiazhuang, 050051, P.R. China.
Hongyuan Yin *Department of Orthopaedic Surgery, Hebei Medical University Third Hospital, Shijiazhuang, 050051, P.R. China.
Chengsi Li *Department of Orthopaedic Surgery, Hebei Medical University Third Hospital, Shijiazhuang, 050051, P.R. China.
Changhui LiDepartment of Orthopaedic Surgery, Hebei Medical University Third Hospital, Shijiazhuang, 050051, P.R. China.
Dongwei WuDepartment of Orthopaedic Surgery, Hebei Medical University Third Hospital, Shijiazhuang, 050051, P.R. China.
Zhenbang YangDepartment of Orthopaedic Surgery, Hebei Medical University Third Hospital, Shijiazhuang, 050051, P.R. China.
Xuebin ZhangDepartment of Orthopaedic Surgery, Hebei Medical University Third Hospital, Shijiazhuang, 050051, P.R. China.
Yingze ZhangDepartment of Orthopaedic Surgery, Hebei Medical University Third Hospital, Shijiazhuang, 050051, P.R. China. yzling_liu@163.com.
Yanbin ZhuDepartment of Orthopaedic Surgery, Hebei Medical University Third Hospital, Shijiazhuang, 050051, P.R. China. 38600312@hebmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current assessment of preoperative deep vein thrombosis (DVT) in elderly patients with femoral neck fracture is limited. We aimed to identify independent risk factors for preoperative DVT in patients with femoral neck fracture and to develop and validate a predictive nomogram. Patients diagnosed with femoral neck fracture from October 2014 to April 2019 were retrospectively analyzed. Baseline data, treatment information and laboratory test results were collected, and the occurrence of DVT in the preoperative period was regarded as the study outcome event. Multivariable logistic regression identified independent risk factors associated with a higher incidence of preoperative DVT. The predictive nomogram was constructed based on the analysis results. The stability of the model was further assessed in this study using patients from May 2019 to September 2022 as an external validation set. A total of 921 patients were enrolled in the study, of which 639 were used in the training cohort and the other 282 for the validation cohort. Multivariate analysis revealed age (OR 1.100, 95% CI 1.042-1.162), BMI ≥ 28 (OR 3.969, 95% CI 1.792-8.793), smoking (OR 2.998, 95% CI 1.255-7.165), LDL-C > 3.4 mmol/L (OR 2.628, 95% CI 1.316-5.250), and d-dimer > 0.475 mg/L (OR 3.157, 95% CI 1.565-6.368) were the independent risk factors of preoperative DVT. The concordance index (C-index) of the nomogram were 0.832 in the training set, and the corrected values after internal validation were 0.759. The receiver-operating characteristic (ROC) curve, the calibration curve, the Hosmer-Lemeshow test and the decision curve analysis (DCA) performed well in both the training and validation cohorts. In this study, we developed a personalised predictive nomogram containing five high-risk factors, which can help surgeons stratify the risk of preoperative DVT in elderly patients with femoral necks and guide high-risk patients to ultrasound scans or prophylactic anticoagulation as soon as possible.

Indexed as

Femoral Neck FracturesNomogramsVenous ThrombosisAgedAged, 80 and overFemaleHumansMaleMiddle AgedPreoperative PeriodRetrospective StudiesRisk FactorsFemoral neck fracturePrediction modelPreoperative deep vein thrombosisRisk factor

Identifiers

PMID40593178
PMCPMC12217240

What Socratic holds

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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 Socratic graph.