Question · asked by 1 review

Chloral hydrate oral (70 mg/kg) vs promethazine: Proportion of children with inadequate level of sedation (Ramsay score below 4)

Chloral hydrate oral (70 mg/kg) may leads to lower proportion of children with inadequate level of sedation (Ramsay… compared with promethazine oral (1 mg/kg) (low certainty).

What each review found

Current versions only
FindingEffectStudiesGRADE certainty
Chloral hydrate oral (70 mg/kg) vs promethazine oral (1 mg/kg)
Proportion of children with inadequate level of sedation (Ramsay score below 4) · children undergoing neurodiagnostic procedures
Chloral hydrate oral (70 mg/kg) may leads to lower proportion of children with inadequate level of sedation (Ramsay… compared with promethazine oral (1 mg/kg) (low certainty).
Chloral hydrate as a sedating agent for neurodiagnostic procedures in children (2021) · Cochrane Headline outcomes only
RR 0.03 [0, 0.45]1 study · 60 participantsLow
Chloral hydrate oral (70 mg/kg) vs promethazine oral (1 mg/kg)
Proportion of children with inadequate level of sedation (Ramsay score below 4) · children undergoing neurodiagnostic procedures
Chloral hydrate oral (70 mg/kg) may leads to lower proportion of children with inadequate level of sedation (Ramsay… compared with promethazine oral (1 mg/kg) (low certainty).
Chloral hydrate as a sedating agent for neurodiagnostic procedures in children (2017) · Cochrane Headline outcomes onlyearlier version CD011786.PUB2, superseded
RR 0.03 [0, 0.45]1 study · 60 participantsLow

Findings are shown side by side, never pooled across reviews.

The reviews

ReviewSearched up toIncluded studiesAMSTAR 2
Chloral hydrate as a sedating agent for neurodiagnostic procedures in children
2021 · Cochrane Headline outcomes only
Not reportedlist not extracted yetNot assessed

Studies behind the findings

None of these reviews ties its included studies to this outcome in the data here. Cochrane reviews and reviews with headline outcomes only do not list their studies yet.

How reviews are matched to this question

Reviews word the same question differently. Four decision models (TypeSafe's Jev, Liquid AI's d1-ultra, SubQ Snap and Baseten's Elephant) judged each wording of the population, intervention, comparator and outcome against the others; two wordings count as the same when at least three of them agree and none clearly disagrees, and findings count as this question only when all four elements match. Timing, setting and subgroup never split a question: they are shown on each finding.