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Systematic Review of Clinical Trials Examining the Effects of Religion on Health

2002· review· en· W2412999158 on OpenAlexaboutno aff
Mark R. Townsend, Virginia Kladder, Hana Ayele, Thomas Mulligan

Bibliographic record

VenueSouthern Medical Journal · 2002
Typereview
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRandomized controlled trialMEDLINESystematic reviewAnxietyAlternative medicineCoping (psychology)PsychiatryClinical psychologyInternal medicine

Abstract

fetched live from OpenAlex

Using MEDLINE, (limited to the English language and the reference lists of the randomized controlled trials (RCTs), we assessed the impact of religion on health outcomes via systematic, critical review of the medical literature. All RCTs published from 1966 to 1999 and all non-RCTs published from 1996 to 1999 that assessed a relationship between religion and measurable health outcome were examined. We excluded studies dealing with non-religious spirituality, ethical issues, coping, well-being, or life satisfaction. We used the Canadian Medical Association Journal's guidelines for systematic review of the medical literature to evaluate each manuscript. Nine RCTs and 25 non-RCTs met these inclusion/exclusion criteria. Randomized controlled trials showed that intercessory prayer may improvehealth outcomes in patients admitted to a coronary care unit but showed no effect on alcohol abuse. Islamic-based psychotherapy speeds recovery from anxiety and depression in Muslims. Non-RCTs indicate that religious activities appear to benefit blood pressure, immune function, depression, and mortality.

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)0.027
metaresearch head score (Gemma)0.120
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: Review
Teacher disagreement score0.027
Threshold uncertainty score0.144

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.120
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0140.008
Bibliometrics0.0200.017
Science and technology studies0.0010.002
Scholarly communication0.0030.003
Open science0.0020.002
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.287
GPT teacher head0.554
Teacher spread0.267 · 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

Citations104
Published2002
Admission routes1
Has abstractyes

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