A Systematic Review and Meta-Analysis on the Effect of Steroids in Pediatric Shock
Bibliographic record
Abstract
OBJECTIVE: To systematically review randomized controlled trials (RCTs) of steroids conducted in children with fluid and/or vasoactive medication-dependent shock and evaluate and report on the quality and clinical and methodological heterogeneity of included trials. DATA SOURCES: MEDLINE (1946 to January Week 2, 2012), Embase (1947-January 20, 2012), Cochrane Central Register of Controlled Trials (through January 2012), and reference lists of retrieved publications. No language restrictions were applied. STUDY SELECTION: We included only RCTs reporting on steroid use and clinical outcomes in pediatric shock. DATA EXTRACTION: Study characteristics, interventions, and outcomes were retrieved by three independent reviewers. Pooled relative risks and 95% CIs were calculated using a random effects model. DATA SYNTHESIS: We identified 535 citations from which 13 full-text articles were retrieved for assessment. Eight articles evaluating a total of 447 children were selected for review. The median trial size was 67 patients (range, 28-98). Seven of the eight trials were published prior to 1996, and all trials were conducted in the developing world, and six of eight trials were in the setting of dengue shock. We found methodological issues related to allocation concealment, blinding and reporting of co-interventions, and outcome data among the included trials along with varying types, doses, timings, and duration of steroids making it difficult to compare outcomes. The overall meta-analysis showed no difference in mortality rates between those who did and did not receive steroids (relative risks, 0.744 [95% CI, 0.475-1.165]; p = 0.197). CONCLUSIONS: The literature on the use of steroids in pediatric shock is limited in amount and methodological quality and demonstrates conflicting results. The limited evidence on which current guidelines are based strongly supports the need for a well-designed, pragmatic randomized controlled trial on the use of steroids in pediatric shock to inform future guidelines.
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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 | 0.034 | 0.103 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.030 | 0.032 |
| Bibliometrics | 0.013 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".