Evidence map›Paper›PMID 36998199›Full record

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

Incidence and Risk Factors of Admission Deep Vein Thrombosis in Patients With Traumatic Fracture: A Multicenter Retrospective Study.

Li Zhang, Xiaobing Liu, Peng Pang, Zhenguo Luo, Wenbo Cai, Wangyang Li, Jianhong Hao

Open access · goldAbstract readMulticenter Study
In one paragraph

Article 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 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
6.1field-weighted citation impact, top 3% of its field
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

21 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
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  3. In-hospital deep vein thrombosis after tibial plateau fractures: incidence, laterality/anatomy, and risk factors in a multicenter retrospective cohort of 3366 patients.Journal of orthopaedics and traumatology : official journal of the Italian Society of Orthopaedics and Traumatology · 2026
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  20. 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

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

7 authors at 3 institutions in 1 country.

Li ZhangDepartment of Anaesthesiology, HongHui Hospital, 12480Xi'an JiaoTong University, Xi'an, Shaanxi Province, China.
Xiaobing LiuDepartment of Anaesthesiology, HongHui Hospital, 12480Xi'an JiaoTong University, Xi'an, Shaanxi Province, China.
Peng PangDepartment of Anaesthesiology, 562131Binzhou Medical College Affiliated Hospital, Binzhou, Shandong Province, China.
Zhenguo LuoDepartment of Anaesthesiology, HongHui Hospital, 12480Xi'an JiaoTong University, Xi'an, Shaanxi Province, China.
Wenbo CaiDepartment of Anaesthesiology, HongHui Hospital, 12480Xi'an JiaoTong University, Xi'an, Shaanxi Province, China.
Wangyang LiEmergency Department, 639571Linfen Hospital Affiliated to Shanxi Medical University, Linfen, Shanxi Province, China.
Jianhong HaoDepartment of Anaesthesiology, HongHui Hospital, 12480Xi'an JiaoTong University, Xi'an, Shaanxi Province, China.ORCID 0000-0001-5753-9910
Xi'an Honghui Hospital · CNBinzhou Medical University · CNShanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To identify risk factors of admission deep vein thrombosis (DVT) in patients with traumatic fractures. Medical records of 1596 patients with traumatic fractures were reviewed. According to the ultrasound reports of the lower extremity veins, patients were assigned to the DVT or non-DVT group. Univariate and multivariate logistic regression analyses were used to identify the independent risk factors of DVT, and the receiver operating characteristic (ROC) curve was used to analyze the predictive value of the D-dimer level for DVT. DVT admission incidence was 20.67%. Statistically significant differences were revealed between the 2 groups in terms of age, sex, fracture site, presence of hypertension, coronary heart disease, stroke, smoking status, time from injury to admission, and levels of fasting blood glucose, hemoglobin, fibrinogen, D-dimer, and hematocrit. Multivariate analysis results showed that age above 50 years, female, above-knee fracture, cigarette smoking, injury-to-admission delay beyond 48 h, low hemoglobin levels, high fasting blood glucose levels, and high D-dimer levels were independent risk factors for admission DVT. ROC analysis showed that the D-dimer level was effective for the prediction of admission DVT in patients with peri-knee and below-knee fractures (area under the curve [AUC] = 0.7296, cutoff point = 1.21 mg/L). An age over 50 years, female, above-knee fracture, smoking, injury-to-admission delay beyond 48 h, decreased hemoglobin level, and increased fasting blood glucose and D-dimer levels were found to be potential independent risk factors for admission DVT. In patients with peri-knee and below-knee fractures, the plasma D-dimer level was effective in predicting admission DVT.

Indexed as

Fractures, BoneVenous ThrombosisBlood GlucoseFemaleFibrin Fibrinogen Degradation ProductsHumansIncidenceMiddle AgedRetrospective StudiesRisk FactorsBlood GlucoseFibrin Fibrinogen Degradation ProductsD-dimerdeep vein thrombosislower extremitytraumatic fracture

Identifiers

PMID36998199
PMCPMC10068974
OpenAlexW4362014813

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.