Evidence map›Paper›PMID 37792059›Full record

ArticleArchives of orthopaedic and trauma surgery2024

Nomogram for predicting postoperative deep vein thrombosis in patients with spinal fractures caused by high-energy injuries.

Bing Lv, Haiying Wang, Zipeng Zhang, Weifeng Li, Gefeng Han, Xiangdong Liu, Cheng Zhang

Abstract read
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In one paragraph

Article in Archives of orthopaedic and trauma surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. 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
    Article
  4. Article
  5. Article
  6. New Predictive Model and Predictors for Perioperative Deep Vein Thrombosis Formation in Fractures of the Lower Extremity Versus Traditional Scoring.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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

7 authors at 1 institution in 1 country.

Bing LvDepartment of Ultrasound Medicine, Baoding No.1 Central Hospital, Baoding, 071000, People's Republic of China.
Haiying WangDepartment of Orthopaedic Surgery, Baoding No.1 Central Hospital, 320 Changcheng North Street, Baoding, 071000, Hebei, People's Republic of China. weishenme68@126.com.ORCID http://orcid.org/0000-0003-0404-672X
Zipeng ZhangDepartment of Orthopaedic Surgery, Baoding No.1 Central Hospital, 320 Changcheng North Street, Baoding, 071000, Hebei, People's Republic of China.
Weifeng LiDepartment of Orthopaedic Surgery, Baoding No.1 Central Hospital, 320 Changcheng North Street, Baoding, 071000, Hebei, People's Republic of China.
Gefeng HanDepartment of Orthopaedic Surgery, Baoding No.1 Central Hospital, 320 Changcheng North Street, Baoding, 071000, Hebei, People's Republic of China.
Xiangdong LiuDepartment of Orthopaedic Surgery, Baoding No.1 Central Hospital, 320 Changcheng North Street, Baoding, 071000, Hebei, People's Republic of China.
Cheng ZhangDepartment of Orthopaedic Surgery, Baoding No.1 Central Hospital, 320 Changcheng North Street, Baoding, 071000, Hebei, People's Republic of China.
Baoding People's Hospital · CN

Funding

Baoding City Science and Technology and Intellectual Property Bureau 2041ZF100
6 · The paper itself

Abstract

objectiveDeep venous thrombosis (DVT) is a common complication in patients with spinal fractures caused by high-energy injuries. Early identification of patients at high risk of postoperative DVT is essential for the prevention of thrombosis. This study aimed to develop and validate a prediction model based on a nomogram to predict DVT in patients with spinal fractures caused by high-energy injuries.

methodsClinical data were collected from 936 patients admitted to our hospital between January 2016 and December 2021 with spinal fractures caused by high-energy injuries. Multivariate logistic regression analysis was used to identify the risk factors for postoperative DVT and to develop a nomogram. The predictive performance of the nomogram was evaluated by the receiver operating characteristic (ROC) curve and calibration curve.

resultsThe incidence of preoperative DVT was 15.38% (144/936). The postoperative incidence of DVT was 20.5% (192/936). The multivariate analysis revealed that age, operation time, blood transfusion, duration of bed rest, American Spinal Injury Association (ASIA) score and D-dimer were risk factors for postoperative DVT. The area under the ROC curve of the nomogram was 0.835 and the calibration curve showed good calibration.

conclusionsThe nomogram showed a good ability to predict postoperative DVT in patients with spinal fractures caused by high-energy injuries, which may benefit pre- and postoperative DVT prophylaxis strategy development.

Indexed as

Spinal FracturesVenous ThrombosisHumansNomogramsRetrospective StudiesRisk AssessmentRisk FactorsDeep vein thrombosisHigh-energy injuryNomogramPrediction modelSpinal fracture

Identifiers

PMID37792059
OpenAlexW4387326882

What OpenQuestion holds

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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.