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Record W2110630376 · doi:10.1053/eupc.2001.0168

Components of clinical trials for vasovagal syncope

2001· review· en· W2110630376 on OpenAlexaff
Robert S. Sheldon

Bibliographic record

VenueEP Europace · 2001
Typereview
Languageen
FieldMedicine
TopicCardiovascular Syncope and Autonomic Disorders
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsVasovagal syncopeMedicineSyncope (phonology)PlaceboClinical trialRisk stratificationTilt table testContext (archaeology)Intensive care medicineRandomized controlled trialWeaknessInternal medicineSurgeryBlood pressureAlternative medicineHeart ratePathology

Abstract

fetched live from OpenAlex

The time is ripe for adequately powered, randomized, placebo-controlled clinical trials in vasovagal syncope. Vasovagal syncope is a common syndrome, the symptoms of which can be troublesomely frequent. It is usually diagnosed by tilt-table testing, although this has persistent problems with both sensitivity and specificity. Patients with syncope and positive tilt tests have been the subjects of numerous studies of natural history, risk stratification, and treatment. This paper discusses studies of treatments for vasovagal syncope in the context of a classification of the levels of evidence that can be gleaned from clinical studies. The reasons for placebo-controlled trials are reviewed, as is the evidence for various methods of risk stratification. Data for power calculations are presented for the primary outcome, the time to the first syncope recurrence. Strengths and weakness of the four main types of outcomes for clinical trials are compared.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.971
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0080.007
Bibliometrics0.0000.000
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 head0.480
GPT teacher head0.525
Teacher spread0.045 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations28
Published2001
Admission routes1
Has abstractyes

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