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Record W4412723443 · doi:10.1097/shk.0000000000002676

Risk Factors for Postoperative Lower Extremity Deep Venous Thrombosis Following Severe Traumatic Brain Injury: A Systematic Review and Meta-Analysis

2025· review· en· W4412723443 on OpenAlexaboutno aff
M. Mo, Yajuan Zhang, Da‐Hong Zhai, Xiaoshan Li, Ying‐Jie Zhu, Gu‐Qing Zeng

Bibliographic record

VenueShock · 2025
Typereview
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMeta-analysisConfidence intervalVenous thrombosisOdds ratioCochrane LibraryPolytraumaBody mass indexDeep veinMEDLINEInternal medicineThrombosisPhysical therapyEmergency medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: This study aims to systematically evaluate the risk factors associated with the development of postoperative lower extremity deep venous thrombosis (LEDVT) in patients with severe traumatic brain injury (sTBI). METHODS: A systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Comprehensive searches of Chinese and English databases, including PubMed, Cochrane Library, Embase, China National Knowledge Infrastructure, and Wanfang, were conducted from inception to December 12, 2024. Two researchers independently screened articles and extracted relevant data. Study quality was assessed using the Newcastle-Ottawa Scale and the Agency for Healthcare Research and Quality criteria. Meta-analyses were performed using RevMan 5.3, applying a random-effects model to combine effect sizes, with subsequent sensitivity analyses and assessments for publication bias. The review was registered in PROSPERO (CRD42024629624). RESULTS: A total of 13 studies (n = 777,327) were included, comprising 8 case-control studies, 2 cohort studies, and 3 cross-sectional studies. Eleven significant risk factors for postoperative LEDVT were identified: advanced age (odds ratio [OR] = 1.12, 95% confidence interval [CI]: 1.10-1.14), use of dehydrant (OR = 2.04, 95% CI: 1.38-3.04), mechanical ventilation (OR = 1.01, 95% CI: 1.01-1.02), elevated D-dimer level (OR = 1.19, 95% CI: 1.11-1.27), polytrauma (OR = 1.63, 95% CI: 1.29-2.03), hypertension (OR = 1.11, 95% CI: 1.07-1.15), surgical duration (OR = 1.60, 95% CI: 1.06-2.42), elevated body mass index (OR = 1.30, 95% CI: 1.16-1.45), deep venous catheterization (OR = 1.36, 95% CI: 1.15-1.60), length of hospital stay (OR = 1.36, 95% CI: 1.18-1.56), and blood transfusion (OR = 3.56, 95% CI: 1.91-6.63), with all P values <0.05. No statistically significant associations were observed for Glasgow Coma Scale score (OR = 1.12, 95% CI: 0.98-1.28) or diabetes mellitus (OR = 1.02, 95% CI: 0.97-1.07). CONCLUSIONS: Eleven variables were identified as significant risk factors for postoperative LEDVT among patients with sTBI. These findings underscore the importance of implementing individualized preventive strategies for patients identified as high risk.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.613
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0220.009
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.072
GPT teacher head0.374
Teacher spread0.302 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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