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Record W2031841987 · doi:10.1177/1076029611426869

Meta-Regression Analysis to Indirectly Compare Prophylaxis With Dalteparin or Enoxaparin in Patients at High Risk for Venous Thromboembolic Events

2012· review· en· W2031841987 on OpenAlexaff
George Dranitsaris, Valentina Jelinčić, Yoonhee Choe

Bibliographic record

VenueClinical and Applied Thrombosis/Hemostasis · 2012
Typereview
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsAugmentium Pharma Consulting (Canada)
Fundersnot available
KeywordsVenous thromboembolismMedicineMeta-analysisEmergency medicineInternal medicineThrombosis

Abstract

fetched live from OpenAlex

BACKGROUND: Dalteparin and enoxaparin are recommended as thromboprophylaxis for at least 10 days in patients undergoing abdominal surgery (AS) or hospitalized patients with acute medical illnesses. Even though both agents have proven clinical effectiveness through randomized trials, there have been no head-to-head studies. In this evaluation, indirect statistical techniques were used to compare safety and efficacy between dalteparin and enoxaparin in these 2 high-risk patient populations. METHODS: A literature search was conducted from January 1980 to November 2010 for randomized trials evaluating dalteparin or enoxaparin prophylaxis following AS or in hospitalized patients. Binary outcomes for safety and efficacy were statistically pooled using fixed or random effects models in cases of significant heterogeneity. In trials where a common control was used (eg, unfractionated heparin [UH]), indirect statistical comparisons between dalteparin and enoxaparin were performed using meta-regression analysis with active drug as the primary independent variable. RESULTS: The meta-analysis in AS patients showed that enoxaparin or dalteparin had comparable efficacy to UH in terms of venous thromboembolic events (VTEs; relative risk reduction [RR] = 0.87, P = .46). The indirect statistical comparison was unable to find significant differences between enoxaparin and dalteparin in terms of risk for VTE (P = .84), major bleeding (P = .38), heparin-induced thrombocytopenia ([HIT]; P = .084), or death (P = .97). In acutely ill medical patients, treatment with enoxaparin or dalteparin had a 52% VTE risk reduction compared to placebo (RR = 0.48, P < .001). The indirect comparison was also unable to find significant differences between enoxaparin and dalteparin in terms of VTEs (P = .15), major bleeds (P = .39), HIT (P = .48), and death (P = .41). CONCLUSIONS: The findings suggest comparable safety and efficacy between dalteparin and enoxaparin in AS and in acutely ill medical patients.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.874
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0140.002
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.182
GPT teacher head0.401
Teacher spread0.219 · 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; both teacher heads agree on what is shown here.

Study designOther design
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

Citations9
Published2012
Admission routes1
Has abstractyes

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