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Insufficient evidence to conclude whether or not Transcendental Meditation decreases blood pressure

2004· review· en· W2043296110 on OpenAlexaff
Peter H. Canter, Edzard Ernst

Bibliographic record

VenueJournal of Hypertension · 2004
Typereview
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsVictoria Park
Fundersnot available
KeywordsMedicineTranscendental meditationRandomized controlled trialBlood pressureClinical trialPsychological interventionConfoundingPhysical therapyInternal medicineMeditationPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: To carry out an independent, systematic review of randomized clinical trials of Transcendental Meditation (TM) for cumulative effects on blood pressure. METHOD: Searches were made of electronic databases and the collected papers and official web sites of the TM organization. We included only randomized clinical trials, without confounding co-interventions, which measured the cumulative effects of TM on blood pressure. RESULTS: Six trials met the inclusion criteria but one, reported only in abstract form, could not be evaluated. Procedures for establishing baseline blood pressure were adequate in only one trial. Only one of the trials included a follow-on assessment and only one of the evaluable trials tested the effect of TM in hypertensive individuals. Three of the five evaluable trials reported statistically significant differences between intervention groups favouring TM and two found no significant differences between intervention groups. None of the five studies was conducted by independent authors without any affiliation to the TM organization. CONCLUSION: All the randomized clinical trials of TM for the control of blood pressure published to date have important methodological weaknesses and are potentially biased by the affiliation of authors to the TM organization. There is at present insufficient good-quality evidence to conclude whether or not TM has a cumulative positive effect on blood pressure.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.926
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.211
GPT teacher head0.417
Teacher spread0.206 · 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

Citations73
Published2004
Admission routes1
Has abstractyes

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