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Record W4324307220 · doi:10.1111/jebm.12522

STandards for Reporting Interventions in Clinical Trials Of Tuina/Massage (STRICTOTM): Extending the CONSORT statement

2023· article· en· W4324307220 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.

Bibliographic record

VenueJournal of Evidence-Based Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsMcMaster UniversityImpact
Fundersnot available
KeywordsMassageChecklistConsolidated Standards of Reporting TrialsPsychological interventionMedicinePhysical therapyChiropracticClinical trialGuidelineAlternative medicineIntervention (counseling)NursingPsychology

Abstract

fetched live from OpenAlex

OBJECTIVES: Massage is a common therapy of nonpharmacological treatments, particularly in Tuina (Chinese massage) as its most common style, detailed guidance in reporting the intervention is warranted for its evaluation and replication. Based on the CONSORT (Consolidated Standards of Reporting Trials), we aimed to develop an Extension for Tuina/Massage, namely "The STandards for Reporting Interventions in Clinical Trials Of Tuina/Massage (STRICTOTM)." METHODS: A group of professional clinicians, trialists, methodologists, developers of reporting guidelines, epidemiologists, statisticians, and editors has developed this STRICTOTM checklist through a standard methodology process recommended by the EQUATOR (Enhancing the QUAlity and Transparency of Health Research) Network, including prospective registration, literature review, draft of the initial items, three rounds of the Delphi survey, consensus meeting, pilot test, and finalization of the guideline. RESULTS: A checklist of seven items (namely Tuina/Massage rationale, details of Tuina/Massage, intervention regimen, other components of the intervention, Tuina/Massage provider background, control or comparator interventions, and precaution measures), and 16 subitems were developed. Explanations and examples (E&E) for each item are also provided. CONCLUSIONS: The working group hopes that the STRICTOTM, in conjunction with both the CONSORT statement and extension for nonpharmacologic treatment, can improve the reporting quality and transparency of Tuina/Massage clinical research.

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
gemmaMetaresearch
Domain: Reporting · Genre: Methods
About the Canadian research system: no · About a Canadian topic: no
Not applicablelow
gptMetaresearch
Domain: Reporting · Genre: Methods
About the Canadian research system: no · About a Canadian topic: no
Theoretical or conceptualhigh
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)0.106
metaresearch head score (Gemma)0.190
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.202
Threshold uncertainty score0.921

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1060.190
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
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 head0.870
GPT teacher head0.676
Teacher spread0.195 · 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