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Record W1483114350 · doi:10.1002/ejp.649

Overview review: Comparative efficacy of oral ibuprofen and paracetamol (acetaminophen) across acute and chronic pain conditions

2014· review· en· W1483114350 on OpenAlex

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

VenueEuropean Journal of Pain · 2014
Typereview
Languageen
FieldMedicine
TopicInflammatory mediators and NSAID effects
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsIbuprofenMedicineAnalgesicOsteoarthritisAcetaminophenPlaceboAnesthesiaRheumatoid arthritisSystematic reviewPhysical therapyMEDLINEInternal medicineAlternative medicinePharmacology

Abstract

fetched live from OpenAlex

BACKGROUND: Ibuprofen and paracetamol have long been used as analgesics in a range of acute, intermittent and chronic pain conditions. Paracetamol is often the first line analgesic recommended, without consensus about which is the better analgesic. METHODS: An overview review of systematic reviews and meta-analyses directly compares ibuprofen and paracetamol at standard doses in particular painful conditions, or uses indirect comparisons against placebo. Electronic searches for systematic reviews were sought published since 1995 using outcomes approximating to ≥50% pain intensity reduction. Painful conditions were acute post-operative pain, dysmenorrhoea, tension-type headache (TTH), migraine, osteoarthritis and rheumatoid arthritis, back pain, cancer and paediatric pain. There was no systematic assessment of harm. RESULTS: Sixteen systematic reviews and four individual patient data meta-analyses were included. Ibuprofen was consistently superior to paracetamol at conventional doses in a range of painful conditions. Two direct comparisons favoured ibuprofen (acute pain, osteoarthritis). Three of four indirect comparisons favoured ibuprofen (acute pain, migraine, osteoarthritis); one showed no difference (TTH), although there were methodological problems. In five pain conditions (dysmenorrhoea, paediatric pain, cancer pain, back pain and rheumatoid arthritis), there were limited data on paracetamol and ibuprofen. CONCLUSIONS: At standard doses in different painful conditions, ibuprofen was usually superior producing more patients with the degree of pain relief that patients feel worthwhile. Neither of the drugs will be effective for everyone, and both are needed. This overview questions the practice of routinely using paracetamol as a first line analgesic because there is no good evidence for efficacy of paracetamol in many pain conditions.

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)0.017
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.845
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.059
GPT teacher head0.393
Teacher spread0.334 · 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