A Review of Systematic Reviews on Pain Interventions in Hospitalized Infants
Bibliographic record
Abstract
BACKGROUND: Hospitalized infants undergo multiple, repeated painful procedures. Despite continued efforts to prevent procedural pain and improve pain management, clinical guidelines and standards frequently do not reflect the highest quality evidence from systematic reviews. OBJECTIVE: To critically appraise all systematic reviews on the effectiveness of procedural pain interventions in hospitalized infants. METHODS: A structured review was conducted on published systematic reviews and meta-analyses of pharmacological and nonpharmacological interventions of acute procedural pain in hospitalized infants. Searches were completed in the Cochrane Database of Systematic Reviews, MEDLINE, EMBASE, CINAHL and PsycINFO. Two reviewers independently selected articles for review and rated the methodological quality of the included reviews using a validated seven-point quality assessment measure. Any discrepancies were resolved by a third reviewer. RESULTS: Of 1469 potential systematic reviews on interventions for painful procedures in hospitalized infants, 11 high-quality reviews were included in the analysis. Pharmacological interventions supported by research evidence included premedication for intubation, dorsal penile nerve block and EMLA (AstraZeneca Canada, Inc) for circumcision, and sucrose for single painful procedures. Non-nutritive sucking, swaddling, holding, touching, positioning, facilitative tucking, breast feeding and supplemental breast milk were nonpharmacological interventions supported for procedural pain. CONCLUSION: There is a growing number of high-quality reviews supporting procedural pain management in infants. Ongoing research of single, repeated and combined pharmacological and nonpharmacological interventions is required to provide the highest quality evidence to clinicians for decision-making on optimal pain management.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.019 | 0.091 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.013 | 0.013 |
| Bibliometrics | 0.011 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".