MétaCan
Menu
Back to cohort
Record W2133207982 · doi:10.1136/aim.18.1.54

Acupuncture in the Treatment of Hypertension and Stroke

2000· article· en· W2133207982 on OpenAlex
Yue Emily Ren

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

VenueAcupuncture in Medicine · 2000
Typearticle
Languageen
FieldMedicine
TopicAcupuncture Treatment Research Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAcupunctureMedicineStroke (engine)Randomized controlled trialPhysical therapyRehabilitationAlternative medicineClinical trialInternal medicinePathology

Abstract

fetched live from OpenAlex

This article identifies and comments on published studies of acupuncture treatment for hypertension and stroke. In all, 27 appropriate papers were analysed: 13 were hypertension papers with 3 being of controlled trials, and 14 were stroke papers with 5 controlled trials. The articles consisted of randomised controlled trials (RCTs), controlled trials, and case series studies. The hypertension papers also involved some cohort studies. In general, sample sizes of these studies were small. Acupuncture in these papers was used as a secondary intervention for treating hypertension and as a tertiary intervention for stroke rehabilitation. The RCTs (the top of the hierarchy of evidence) of hypertension showed that acupuncture was not more effective than sham acupuncture or the anti-hypertensive drug, reserpine; however, all the case series suggested that acupuncture was an effective treatment. The RCT evidence for stroke showed that the effectiveness of acupuncture was similar to that of conventional treatment. The conclusion was that from the papers analysed there is insufficient evidence to show that acupuncture produces better results than other treatments for hypertension or stroke.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.437
Threshold uncertainty score0.739

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.041
GPT teacher head0.325
Teacher spread0.284 · 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