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Record W6887704826 · doi:10.17605/osf.io/g8erw

Replicating cardiovascular outcome trials for type 2 diabetes using real-world evidence: protocol for a systematic review of observational studies.

2023· other· en· W6887704826 on OpenAlexaboutno aff

Bibliographic record

VenueOpen Science Framework · 2023
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsObservational studyRandomized controlled trialType 2 diabetesClinical trialPopulationDrugProtocol (science)Alternative medicineSystematic review

Abstract

fetched live from OpenAlex

Randomized controlled trials (RCTs) are the current gold standard for drug safety and efficacy evidence-based regulatory decision making. However, due to their strict inclusion and exclusion criteria trial populations may not be generalizable to the real-world population of interest. (2). RCTS are also resource and time intensive. With the adoption of electronic health records, large amounts of real-world evidence (RWE) on drug exposure and health outcomes are becoming readily available. This is seen as an attractive alternative to evaluate the effectiveness and safety of medical interventions. The US Food and Drug Administration (FDA) and Health Canada are adapting guidelines to incorporate real world evidence in their decision-making. Health Canada has launched an initiative to integrate RWE throughout the life cycle of drugs (3). The FDA is evaulating the potential role of observational studies in contributing to evidence of drug effectiveness (4). They highlight the need to replicate RCTs using rigorously designed observational studies for insight into the opportunities and limitations of using RWE in regulatory decision making(4). In 2008, the FDA issued recommendations that cardiovascular safety trials should be conducted to prove that antidiabetic medications have acceptable cardiovascular risk profiles (5). These recommendations were made in the wake of concerns over increased risk of cardiovascular events from the antidiabetic medication, rosiglitazone, for patients with type 2 diabetes (6). Since then, more than 13 cardiovascular outcome trials have been conducted on antidiabetic drugs for type 2 diabetes including, dipeptidyl peptidase-4 (DPP-4) inhibitors, glucagon-like peptide 1 (GLP-1) receptor agonists, and sodium glucose cotransporter-2 (SGLT-2) inhibitors. Broadly speaking, results from these trials demonstrated cardiovascular safety (7). However, these trials were highly selective and may not be generalizable to the larger population. Many of the trials required the presence of high cardiovascular risk factors to increase number of events. Evidence has shown that using the UK’s Royal College of General Practitioners Research and Surveillance Centre database, only 16% of adults with type 2 diabetes had the same high cardiovascular risk factors as those included in the EMPA-REG trial which evaluated SGLT-2 inhibitors (8). For those already initiated on SGLT-2 inhibitors only 11% had a similar risk profile as those included in the trial (8). When the DUPLICATE team emulated cardiovascular outcome trials using US commercial and Medicare patient-level claims data for antidiabetic and antiplatelet medications, they found that only 60% of trials had concordant regulatory conclusions (9). Given that the FDA is striving to understand the complementary nature of RWE to RCTs, coupled with the growing body of evidence on cardiovascular outcome trials in type 2 diabetes and their replication using non-randomized data, we hope to synthesize the information in this area to understand what proportion of RWE patients are eligible for cardiovascular outcome trials, and when restricted to cardiovascular outcome trial eligibility, how patient characteristics and outcomes compare to their respective cardiovascular outcome trials.

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)0.093
metaresearch head score (Gemma)0.383
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.290
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0930.383
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.001
Bibliometrics0.0010.007
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0050.001
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 head0.759
GPT teacher head0.612
Teacher spread0.147 · 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 designSystematic review
Domainnot available
GenreProtocol

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
Published2023
Admission routes1
Has abstractyes

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