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Feverfew for preventing migraine

2004· review· en· W4210255679 on OpenAlexaff
Max H Pittler, Edzard Ernst

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2004
Typereview
Languageen
Field
Topic
Canadian institutionsVictoria Park
Fundersnot available
KeywordsMedicineJadad scaleClinical trialMigrainePlaceboAdverse effectMEDLINERandomized controlled trialCochrane LibraryAlternative medicinePhysical therapyTraditional medicineInternal medicinePathology

Abstract

fetched live from OpenAlex

BACKGROUND: Feverfew (Tanacetum parthenium L.) extract is a herbal remedy used for preventing attacks of migraine. OBJECTIVES: To systematically review the evidence from double-blind randomised controlled trials (RCTs) assessing the clinical efficacy and safety of feverfew versus placebo for preventing migraine. SEARCH STRATEGY: Publications describing (or which might describe) double-blind RCTs of feverfew extract for migraine were sought through the Cochrane Central Register of Controlled Trials (CENTRAL) (The Cochrane Library, Issue 2, 2003); PREMEDLINE/MEDLINE (1966 to July 2003); EMBASE (1974 to July 2003); the trials register of the Cochrane Pain, Palliative and Supportive care group (July 2003); and AMED (1985 to July 2003). Manufacturers of feverfew were contacted and the bibliographies of identified articles checked for further trials. SELECTION CRITERIA: Randomised, placebo-controlled, double-blind trials assessing the efficacy of feverfew for preventing migraine were included. Trials using clinical outcome measures were included. Trials focusing exclusively on physiological parameters were excluded. There were no restrictions regarding the language of publication. DATA COLLECTION AND ANALYSIS: Data on patients, interventions, methods, outcome measures, results and adverse events were extracted systematically. Methodological quality was evaluated using the scoring system developed by Jadad and colleagues. Two reviewers independently selected studies, assessed methodological quality and extracted data. Disagreements concerning evaluation of individual trials were resolved through discussion. MAIN RESULTS: Five trials (343 patients) met the inclusion criteria. Results from these trials were mixed and did not convincingly establish that feverfew is efficacious for preventing migraine. Only mild and transient adverse events were reported in the included trials. REVIEWER'S CONCLUSIONS: There is insufficient evidence from randomised, double-blind trials to suggest an effect of feverfew over and above placebo for preventing migraine. It appears from the data reviewed that feverfew presents no major safety problems.

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)0.019
metaresearch head score (Gemma)0.019
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Meta-epidemiology (broad), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.420
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.019
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0260.006
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.006

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 head0.178
GPT teacher head0.421
Teacher spread0.243 · 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; both teacher heads agree on what is shown here.

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

Citations91
Published2004
Admission routes1
Has abstractyes

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