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Record W4414307780 · doi:10.1080/17581869.2025.2560293

Efficacy and adverse effects of lower doses of ketorolac; a systematic review and meta-analysis

2025· review· en· W4414307780 on OpenAlex
Maryam Bahreini, Heewa Rashnavandi, Fatemeh Rasooli, Alireza Jalali, Hadi Mirfazaelian

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

VenuePain Management · 2025
Typereview
Languageen
FieldMedicine
TopicInflammatory mediators and NSAID effects
Canadian institutionsMcGill University
Fundersnot available
KeywordsAdverse effectMEDLINEClinical trialHuman studies

Abstract

fetched live from OpenAlex

INTRODUCTION: Ketorolac, a non-steroidal anti-inflammatory drug, is proposed to have a ceiling effect. We studied if ketorolac at lower doses was as effective and safe as the standard doses. AREA COVERED: Randomized trials on different doses of ketorolac were searched in MEDLINE, Embase, Scopus, and Web of Science from the inception date to 12 December 2024. The extent of change in pain, pain relief, need for rescue analgesia, reduction in patient opioid consumption, and adverse event rates were outcomes of interest. The risk of bias was assessed using the Cochrane Risk of Bias tool version 2. EXPERT OPINION/COMMENTARY: In acute, postoperative, and cancer pain, there was no difference in the analgesic effect of lower doses of ketorolac in comparison to routine doses. In addition, the results did not show higher adverse effects. PROTOCOL REGISTRATION: www.crd.york.ac.uk/prospero identifier is CRD42023480153.

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)0.003
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: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.602
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0100.002
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.019
GPT teacher head0.313
Teacher spread0.294 · 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