MétaCan
Menu
← Back to cohort
Record W3113965344

Economic Evaluation of Unfractionated Heparin Versus Low-Molecular-Weight Heparin to Prevent Venous Thromboembolism in General Medical and Non-Orthopedic Surgical Patients [Internet]

2017· article· en· W3113965344 on OpenAlexaboutno aff
Scott Klarenbach, Helen So, Braden Manns, Marcello Tonelli

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHeparinPulmonary embolismDeep veinLow molecular weight heparinIntensive care medicineThrombosisOrthopedic surgeryComplicationEmergency medicineSurgery
DOInot available

Abstract

fetched live from OpenAlex

Deep vein thrombosis (DVT) and pulmonary embolism (PE) constitute venous thromboembolism (VTE), which is common in hospitalized patients and is a major source of morbidity and mortality in both medical and non-orthopedic surgery patients. VTE is one of the most common preventable causes of in-patient mortality; among more than seven million patients discharged from 944 North American acute care hospitals, post-operative VTE was the second most common medical complication, the second most common cause of excess length of stay, and the third most common cause of excess mortality and costs. As such, strategies to reduce the occurrence of VTEs are critical in at-risk patients, and prophylactic administration of heparin has emerged as a standard of care.The two most common options are unfractionated heparin (UFH) and low-molecular-weight heparin (LMWH). While some studies have concluded that the efficacy and safety of UFH and LMWH are similar, others have suggested there may be differences in their clinical effectiveness and safety, including risks of bleeding and heparin-induced thrombocytopenia (HIT). From a health care resource-utilization perspective, in the past, the drug acquisition costs of UFH have typically been substantially lower than LMWH. However, due to price reductions in LMWH and the recent increases in the cost of UFH resulting from higher manufacturing costs to ensure safety, the difference in drug costs is decreasing. Given the widespread use of heparin-based VTE prophylaxis, even small differences in outcomes and costs may have significant clinical and economic implications.Given these considerations, the selection of a VTE prevention pharmacologic option is an important decision, both from a hospital formulary and a clinical perspective. In order to inform decision-making within provincial and territorial regional health authorities (RHAs) and hospitals, a health technology assessment (HTA) of anticoagulants for the prevention of VTE in the hospital setting was undertaken. This HTA project was a collaboration between the Drug Safety and Effectiveness Network (DSEN) of the Canadian Institute of Health Research and CADTH. A research group affiliated with DSEN (the University of Ottawa Heart Institute Cardiovascular Research Methods Centre [UOHI-CRMC]) conducted a systematic review comparing the clinical efficacy and safety of UFH and LMWH in preventing VTE in hospitalized medical and surgical (non-orthopedic/general abdominal surgery) patients. CADTH conducted an economic evaluation to determine the cost-effectiveness of LMWH versus UFH for the prevention of VTE in the same populations. This report provides results from the economic evaluation; results from the clinical review are available in a separate report.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.022
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.005
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.000

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 head0.017
GPT teacher head0.328
Teacher spread0.311 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

Same topicVenous Thromboembolism Diagnosis and Management→French-language works237,207→