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Record W4391928665 · doi:10.1186/s12891-024-07282-8

Aspirin is as effective as low molecular weight heparins in preventing symptomatic venous thromboembolism following arthroscopic anterior cruciate ligament reconstruction

2024· article· en· W4391928665 on OpenAlexaff
Hamidreza Yazdi, Arvin Eslami, Ali Torkaman, Omid Elahifar, Amir Kasaeian, Shaya Alimoghadam, Rojina Alimoghadam, Mansour Abolghasemian

Bibliographic record

VenueBMC Musculoskeletal Disorders · 2024
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsUniversity of Alberta
FundersIran University of Medical Sciences
KeywordsMedicineAspirinSurgeryDeep veinLow molecular weight heparinPopulationInternal medicineIncidence (geometry)Pulmonary embolismThrombosis

Abstract

fetched live from OpenAlex

OBJECTIVE: The optimal agent for thromboprophylaxis following arthroscopic anterior cruciate ligament reconstruction (ACLR) remains unclear, particularly in patients with a low baseline risk for venous thromboembolism (VTE). This retrospective cohort study aims to compare the effectiveness and safety of aspirin versus low molecular weight heparins (LMWHs) in this specific patient population. METHODS: We analyzed data from patients who underwent ACLR between March 2016 and March 2021, focusing on those with a low risk for VTE. High-risk individuals, identified by factors such as cardiac disease, pulmonary disease, diabetes mellitus, previous VTE, inflammatory bowel disease, active cancer, and a BMI > 40, were excluded (n = 33). Our approach included a thorough review of medical charts, surgical reports, and pre-operative assessments, complemented by telephone follow-up conducted over a 3-month period by a single investigator. We assessed the incidence of symptomatic VTE, including deep vein thrombosis and pulmonary thromboembolism, as the primary outcome. The secondary outcomes included to complications related to the surgery and thromboprophylaxis. Statistical analysis included descriptive statistics, univariate logistic regression models, and calculations of incidence rates. RESULT: In our study, 761 patients (761 knees) were included, with 458 (60.18%) receiving aspirin and 303 (39.82%) receiving LMWH. The two groups showed no significant differences in demographic factors except for age. The incidence of VTE was reported at 1.31% (10 individuals). Specifically, five patients in the aspirin group (1.09%) and five patients in the LMWH group (1.65%) developed a symptomatic VTE event (p = 0.53). Additionally, the two groups did not significantly differ in terms of other complications, such as hemarthrosis or surgical site infection (p > 0.05). Logistic regression analysis revealed no statistically significant difference in VTE risk between the two groups. CONCLUSION: This study, focusing on isolated ACLR in patients with a low baseline risk for venous thromboembolism, demonstrated that aspirin is equally effective as low molecular weight heparins for VTE prophylaxis following this surgery. LEVEL OF EVIDENCE: III.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.887
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
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 head0.005
GPT teacher head0.277
Teacher spread0.272 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations5
Published2024
Admission routes1
Has abstractyes

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