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Record W4405247109 · doi:10.1002/14651858.cd014439

Treatments for RYR1-related disorders

2024· article· en· W4405247109 on OpenAlexaff
Sharika Raga, Nicol C. Voermans, Iván Pérez‐Neri, Heinz Jungbluth, Giovanni Baranello, Laurent Servais, Alice Tillema, Jo M. Wilmshurst

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle metabolism and nutrition
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicinemyalgiaPsychological interventionPlaceboRYR1Physical therapyIntervention (counseling)DiseaseIntensive care medicinePhysical medicine and rehabilitationInternal medicineAlternative medicinePsychiatryPathology

Abstract

fetched live from OpenAlex

OBJECTIVES: This is a protocol for a Cochrane Review (intervention). The objectives are as follows: Primary objective To analyse the benefits and harms of pharmacological or other interventions (e.g. special diet, exercise programme) compared with placebo or standard care for RYR1-related disorders, including both permanent myopathies and intermittent (episodic) presentations (exertional myalgia and rhabdomyolysis), with the aim to improve motor and respiratory function and/or to reduce the frequency of episodes, respectively. Secondary objectives To assess whether the interventions, compared with placebo or standard of care, change the outcome of RYR1-related diseases. To assess whether the interventions, compared with placebo or usual care, change the expression of the disease state in patients with RYR1-related diseases. To identify a set of standardised outcome tools to be used in future studies.

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)0.018
metaresearch head score (Gemma)0.041
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.050
Threshold uncertainty score0.168

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.041
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0090.011
Bibliometrics0.0090.007
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0030.003
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0500.005

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 head0.033
GPT teacher head0.330
Teacher spread0.297 · 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 designSystematic review
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

Citations1
Published2024
Admission routes1
Has abstractyes

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