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Record W2009416806 · doi:10.1177/0272989x05275156

Medical Decision Making with Incomplete Evidence—Choosing a Platelet Glycoprotein IIbIIIa Receptor Inhibitor for Percutaneous Coronary Interventions

2005· review· en· W2009416806 on OpenAlexafffund
James M. Brophy, Lawrence Joseph

Bibliographic record

VenueMedical Decision Making · 2005
Typereview
Languageen
FieldMedicine
TopicAcute Myocardial Infarction Research
Canadian institutionsMcGill University
FundersCanadian Institutes of Health Research
KeywordsTirofibanAbciximabMedicineEptifibatideRandomized controlled trialPlaceboClinical trialIntensive care medicineConventional PCIInternal medicineMyocardial infarctionAlternative medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Medical decision making must often be performed despite incomplete evidence. An example is the choice of a glycoprotein IIb/IIIa (GP2b3a) inhibitor, a class of potent antiplatelet medications, as adjunctive therapy during percutaneous coronary interventions (PCIs). GP2b3a inhibitor efficacy in reducing adverse outcomes has been well documented with multiple placebo-controlled randomized trials, but there is a paucity of comparative data about their individual equivalency. Substantial cost differentials are also present between the drugs. METHODS: A systematic review of the literature was performed to identify all randomized placebo-controlled trials of GP2b3a inhibitors as adjunctive therapy for PCI. Three complimentary methods were used to assist in decision making regarding drug equivalency. First, the data from the single direct comparative trial are analyzed from a Bayesian perspective. Next, prior information from other GP2b3a inhibitor trials in similar but not identical patient populations is incorporated. In the 3rd method, indirect comparisons of GP2b3a inhibitors are carried out using a hierarchical meta-analytic model of the placebo-controlled trials identified by the systematic review. RESULTS: A total of 12 randomized trials were identified involving 3 agents (abciximab, eptifibatide, tirofiban), but only 1 involved a direct comparison of 2 drugs (abciximab v. tirofiban). In contradiction to the original publication, the authors' Bayesian analysis both without (method 1) and with (method 2) the inclusion of some prior information suggests a reasonable probability of equivalency. The indirect comparisons from all randomized placebo-controlled trials (method 3) also failed to provide support for superiority of any agent over the others. CONCLUSION: Decision making with incomplete evidence is a difficult but frequently occurring medical dilemma. The authors propose 3 methods that may elucidate the process and illustrate them in the context of the choice of GP2b3a inhibitor for adjunctive therapy during PCI. Further data may or may not eventually lead to a different conclusion, but based on the evidence available to date, the authors' 3 methods suggest clinical equivalency between GP2b3a inhibitors, in contrast to the initial conclusions from the single comparative randomized trial.

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)0.007
metaresearch head score (Gemma)0.035
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.959
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.035
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.002
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0130.001

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 head0.127
GPT teacher head0.466
Teacher spread0.339 · 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

Citations8
Published2005
Admission routes2
Has abstractyes

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