Sweet Solutions to Reduce Procedural Pain in Neonates: A Meta-analysis
Bibliographic record
Abstract
CONTEXT: Abundant evidence of sweet taste analgesia in neonates exists, yet placebo-controlled trials continue to be conducted. OBJECTIVE: To review all trials evaluating sweet solutions for analgesia in neonates and to conduct cumulative meta-analyses (CMAs) on behavioral pain outcomes. DATA SOURCES: (1) Data from 2 systematic reviews of sweet solutions for newborns; (2) searches ending 2015 of CINAHL, Medline, Embase, and psychINFO. DATA EXTRACTION AND ANALYSIS: Two authors screened studies for inclusion, conducted risk-of-bias ratings, and extracted behavioral outcome data for CMAs. CMA was performed using random effects meta-analysis. RESULTS: One hundred and sixty-eight studies were included; 148 (88%) included placebo/no-treatment arms. CMA for crying time included 29 trials (1175 infants). From the fifth trial in 2002, there was a statistically significant reduction in mean cry time for sweet solutions compared with placebo (-27 seconds, 95% confidence interval [CI] -51 to -4). By the final trial, CMA was -23 seconds in favor of sweet solutions (95% CI -29 to -18). CMA for pain scores included 50 trials (3341 infants). Results were in favor of sweet solutions from the second trial (0.5, 95% CI -1 to -0.1). Final results showed a standardized mean difference of -0.9 (95% CI -1.1 to -0.7). LIMITATIONS: We were unable to use or obtain data from many studies to include in the CMA. CONCLUSIONS: Evidence of sweet taste analgesia in neonates has existed since the first published trials, yet placebo/no-treatment, controlled trials have continued to be conducted. Future neonatal pain studies need to select more ethically responsible control groups.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".