Evidence map›Paper›PMID 33510388›Full record

ArticleScientific reports2021

Incidence and risk factors predicting deep venous thrombosis of lower extremity following spinal fractures.

Jiangtao Ma, Pei Du, Jin Qin, Yali Zhou, Ningxi Liang, Jinglve Hu, Yingze Zhang, Yanbin Zhu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 3 pooled it
7.7field-weighted citation impact, top 2% 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

36 citing papers in PubMed, 3 syntheses or guidelines pooled it, 57 citations in OpenAlex.

  1. Pooled it
  2. Risk factors for preoperative deep venous thrombosis in hip fracture patients: a meta-analysis.Journal of orthopaedics and traumatology : official journal of the Italian Society of Orthopaedics and Traumatology · 2022
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  8. Anatomic distribution and analysis of influencing factors on deep vein thrombosis in patients with spinal fractures caused by high-energy injuries.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025
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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

8 authors at 2 institutions in 1 country.

Jiangtao Ma *Hebei Orthopedic Clinical Research Center, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050051, People's Republic of China.
Pei Du *Department of Infection Control and Prevention, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050051, People's Republic of China.
Jin QinHebei Orthopedic Clinical Research Center, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050051, People's Republic of China.
Yali ZhouHebei Orthopedic Clinical Research Center, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050051, People's Republic of China.
Ningxi LiangHebei Orthopedic Clinical Research Center, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050051, People's Republic of China.
Jinglve HuHebei Orthopedic Clinical Research Center, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050051, People's Republic of China.
Yingze ZhangDepartment of Orthopaedic Surgery, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050051, People's Republic of China. yzzhang111@126.com.
Yanbin ZhuDepartment of Orthopaedic Surgery, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050051, People's Republic of China. zhuyanbin111@126.com.
Hebei Medical University · CNThird Hospital of Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to investigate the presence of preoperative DVT following spinal fracture and the association between the presence of DVT and risk factors. Ultrasonography and blood analyses were performed preoperatively in patients diagnosed with spinal fracture between October 2014 and December 2018. Univariate analyses were performed on the data of demographics, comorbidities, location of injury, spinal cord injury (SCI) grading and laboratory biomarkers. The receiver operating characteristic (ROC) curve analysis was employed to obtain the optimal D-dimer cut-off value for diagnosis. In total, 2432 patients with spinal fractures were included, among whom 108 (4.4%) patients had preoperative DVTs. The average interval between fracture and initial diagnosis of DVT was 4.7 days (median, 2 days), ranging from 0 to 20 days; 78 (72.2%) were diagnosed within 7 days after injury and 67 (62.0%) within 3 days; 19 (17.5%) patients had proximal vein involved and 89 (82.4%) presented in distal veins. Multivariate logistic regression suggested six risk factors independently correlated to DVT, including delay to DUS (in each day) (odds ratio [OR] = 1.11), ASA class III-IV (OR = 2.36), ASIA grade (A/B) (OR = 2.36), ALB < 3.5 g/dL (OR = 2.08), HDL-C < 1.1 mmol/L (OR = 1.68) and D-Dimer > 1.08 µg/ml (OR = 2.49).

Indexed as

FemaleFibrin Fibrinogen Degradation ProductsHumansIncidenceLower ExtremityMaleMultivariate AnalysisRisk FactorsROC CurveSpinal FracturesVenous ThrombosisFibrin Fibrinogen Degradation Productsfibrin fragment D

Identifiers

PMID33510388
PMCPMC7843965
OpenAlexW3125693985

What OpenQuestion 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 OpenQuestion graph.