Evidence map›Paper›PMID 34243792›Full record

Observational studyJournal of orthopaedic surgery and research2021

The incidence and risk factors of deep venous thrombosis in lower extremities following surgically treated femoral shaft fracture: a retrospective case-control study.

Zhixin Ren, Yufei Yuan, Wei Qi, Yanbao Li, Pengcheng Wang

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Journal of orthopaedic surgery and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
2.1field-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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Efficacy of Atorvastatin Against Venous Thromboembolism After Total Hip Arthroplasty.Journal of musculoskeletal & neuronal interactions · 2025
    Trial
  4. Review
  5. Article
  6. Article
  7. Article
  8. Rapid-Onset Venous Thrombosis After Tibia Fracture: A Case Report.The American journal of case reports · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Dynamic Changes and Relevant Factors of Perioperative Deep Vein Thrombosis in Patients with Thoracolumbar Fractures Caused by High-Energy Injuries.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

5 authors at 3 institutions in 1 country.

Zhixin RenDepartment of Orthopaedic Surgery, The 3rd Hospital of Hebei Medical University, No. 139 Ziqiang Road, Shijiazhuang, 050051, Hebei, People's Republic of China.
Yufei YuanDepartment of Orthopaedic Surgery, Handan Central Hospital, Handan, 056000, Hebei, People's Republic of China.
Wei QiDepartment of Orthopaedic Surgery, The First People's Hospital of Taian, Tai'an, 271000, Shandong, People's Republic of China.
Yanbao LiDepartment of Orthopaedic Surgery, Handan Central Hospital, Handan, 056000, Hebei, People's Republic of China.
Pengcheng WangDepartment of Orthopaedic Surgery, The 3rd Hospital of Hebei Medical University, No. 139 Ziqiang Road, Shijiazhuang, 050051, Hebei, People's Republic of China. surgeonwpc@126.com.
Handan College · CNHebei Medical University · CNTaizhou First People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is still a lack of data on deep vein thrombosis (DVT) following surgically treated femoral shaft fracture (FSF). The goal of this study was to investigate the characteristics of postoperative DVT and the association between the occurrence of DVT and risk factors in patients undergoing surgical treatment for FSF.

methodsThis observational retrospective case-control study reviewed 308 patients who received surgical treatment of FSF between January 2016 and October 2020 at a university hospital. Univariate analyses were performed on the data of demographics, comorbidities, laboratory biomarkers, and operation-related indexes. The receiver operating characteristic (ROC) curve analysis, univariate analyses, and multivariate logistic regression analysis were employed to identify the independent risk factors associated with DVT.

resultsIn total, 308 patients with surgically treated FSF were included, among whom 48 (15.6%) patients had postoperative DVTs. The univariate analyses showing significant differences regarding DVT were American Society of Anesthesiologists (ASA) classification, diabetes mellitus, current smoking, aspartate transaminase (AST), and very-low-density lipoprotein (VLDL) level among the 34 factors. According to the ROC results, the optimal cutoff values for intraoperative blood loss, D-dimer, and age were 350 ml, 1.08 μg/ml, and 35 years, respectively. The multivariable model demonstrated 4 significantly independent associations with postoperative DVT, including current smoking, intraoperative blood loss (> 550 ml), age (> 35 years), and D-dimer > 1.09 μg/ml.

conclusionThese risk factors as screening tools contribute to risk stratification of the occurrence of thromboembolic events. In addition, our findings would help orthopedic surgeons make a cross-specialty decision and implement targeted precaution measures for patients with FSF.

Indexed as

Postoperative ComplicationsAdolescentAdultAgedAged, 80 and overCase-Control StudiesFemaleFemoral FracturesFracture FixationHeart Disease Risk FactorsHumansIncidenceLogistic ModelsLower ExtremityMaleMiddle AgedFemoral shaft fracturesPostoperative deep venous thrombosisRisk factorsThromboprophylaxis

Identifiers

PMID34243792
PMCPMC8268537
OpenAlexW3180835344

What OpenQuestion holds

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LicenceCC BY
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.