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Record W4221137585 · doi:10.1136/bmj-2021-067476

How to design high quality acupuncture trials—a consensus informed by evidence

2022· article· en· W4221137585 on OpenAlex
Yuqing Zhang, Ruimin Jiao, Claudia M. Witt, Lixing Lao, Jianping Liu, Lehana Thabane, Karen J. Sherman, Mike Cummings, Dawn P. Richards, Eun-Kyung Anna Kim, Tae‐Hun Kim, Myeong Soo Lee, Michael E. Wechsler, Benno Brinkhaus, Jun J. Mao, Caroline Smith, Wei-Juan Gang, Baoyan Liu, Zhishun Liu, Yan Liu, Hui Zheng, Jiani Wu, Alonso Carrasco‐Labra, Mohit Bhandari, P.J. Devereaux, Xiang‐Hong Jing, Gordon Guyatt

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 · 2022
Typearticle
Languageen
FieldMedicine
TopicAcupuncture Treatment Research Studies
Canadian institutionsRobarts Clinical TrialsMcMaster UniversityImpact
FundersNational Center for Complementary and Integrative HealthAbbott DiagnosticsNational Cancer InstituteRegeneron PharmaceuticalsNational Institutes of HealthGuangzhou UniversityGuangzhou University of Chinese MedicineUniversität ZürichChina Academy of Chinese Medical SciencesGenentechNational Natural Science Foundation of ChinaTechnische Universität MünchenIncyteEli Lilly CanadaCerecorSanofiAstraZenecaEli Lilly and CompanyMemorial Sloan-Kettering Cancer CenterGlaxoSmithKlineMcMaster UniversityAmgenTeva Pharmaceutical IndustriesU.S. Department of Veterans Affairs
KeywordsAcupunctureAlternative medicineClinical trialMedicineMedical physicsRandomized controlled trialRelevance (law)Quality (philosophy)Evidence-based medicinePhysical therapyResearch designMEDLINEFamily medicineIntensive care medicineSurgeryPathologyPolitical scienceSocial science

Abstract

fetched live from OpenAlex

An international panel including patients, clinicians, researchers, acupuncture and surgery trialists, statisticians, and experts in clinical epidemiology and methodology have developed new guidance for randomised controlled trials in acupuncture. It addresses the most prevalent and critical concerns of current acupuncture trials and will help funding agencies, trial registers, and journal editors to evaluate the relevance, importance, and quality of submitted trial proposals and completed 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.

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)0.031
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.799
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.031
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.285
GPT teacher head0.477
Teacher spread0.191 · 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