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Record W2911968494 · doi:10.1136/bmjebm-2018-111057

Use of modified intention-to-treat analysis in studies of direct oral anticoagulants and risk of selection bias: a systematic review

2019· review· en· W2911968494 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBMJ evidence-based medicine · 2019
Typereview
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsCentre Hospitalier de l’Université de Montréal
FundersFonds de Recherche du Québec - Santé
KeywordsSelection (genetic algorithm)Risk analysis (engineering)Selection biasMedicineIntensive care medicinePsychologyActuarial scienceComputer scienceBusinessArtificial intelligencePathology

Abstract

fetched live from OpenAlex

BACKGROUND: Following their evaluation in randomised controlled trials (RCTs), direct oral anticoagulants (DOACs) have replaced warfarin for stroke prevention in atrial fibrillation (AF), and treatment and prevention of venous thromboembolism (VTE). To avoid selection bias, it is recommended that RCTs use an intention-to-treat (ITT) analysis strategy. OBJECTIVE: The objective of this study was to systematically review and compare reported analytical strategies, the proportion of randomised patients included in analyses and the reasons for participant exclusions. STUDY SELECTION: A systematic search of PubMed, EMBASE and the Cochrane library for phase III trials of DOACs was conducted. Titles and abstracts were screened for relevance by two independent reviewers. Patient population, intervention studied, number of patients included in randomisation and analysis, reasons for exclusions from analysis and trial conclusions were extracted from each article. FINDINGS: Twenty-nine studies were included, five were about stroke prevention in AF, 10 about VTE treatment and 14 about thromboprophylaxis. Trials of AF and VTE treatment had low proportions of postrandomisation exclusions (around 1%). In contrast, surgical and medical thromboprophylaxis trials excluded almost 30% of participants postrandomisation. This was in spite of authors' claims of using an ITT or modified ITT approach. Higher exclusion proportions in these trials were associated with non-clinically defined primary outcomes and incomplete outcome assessments. CONCLUSIONS: Clinicians should be aware that the level of evidence in favour of DOAC use for thromboprophylaxis is weak due to high rates of postrandomisation exclusions and risks of selection bias.

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.

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Review
About the Canadian research system: no · About a Canadian topic: no
Systematic reviewlow
gptMeta-epidemiology (narrow)Meta-epidemiology (broad)Metaresearch
Domain: Methods · Genre: Review
About the Canadian research system: no · About a Canadian topic: no
Systematic reviewhigh
models splitAgreement compares identical category sets and study designs across arms.

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)0.004
metaresearch head score (Gemma)0.027
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.134
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.027
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0120.001
Bibliometrics0.0020.004
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 head0.569
GPT teacher head0.505
Teacher spread0.064 · 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