Evidence map›Paper›PMID 25004909›Full record

SynthesisTrials2014

Sample size calculations in pediatric clinical trials conducted in an ICU: a systematic review.

Stavros Nikolakopoulos, Kit C B Roes, Johanna H van der Lee, Ingeborg van der Tweel

Abstract readSystematic Review
In one paragraph

Synthesis in Trials, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Replicability, Reproducibility, and Agent-based Simulation of Interventions.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Stavros NikolakopoulosDepartment of Biostatistics, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Str, 6,131, PO Box 85500, 3508 Utrecht, GA, The Netherlands. S.N.Nikolakopoulos@umcutrecht.nl.
Kit C B Roes
Johanna H van der Lee
Ingeborg van der Tweel

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

At the design stage of a clinical trial, several assumptions have to be made. These usually include guesses about parameters that are not of direct interest but must be accounted for in the analysis of the treatment effect and also in the sample size calculation (nuisance parameters, e.g. the standard deviation or the control group event rate). We conducted a systematic review to investigate the impact of misspecification of nuisance parameters in pediatric randomized controlled trials conducted in intensive care units. We searched MEDLINE through PubMed. We included all publications concerning two-arm RCTs where efficacy assessment was the main objective. We included trials with pharmacological interventions. Only trials with a dichotomous or a continuous outcome were included. This led to the inclusion of 70 articles describing 71 trials. In 49 trial reports a sample size calculation was reported. Relative misspecification could be calculated for 28 trials, 22 with a dichotomous and 6 with a continuous primary outcome. The median [inter-quartile range (IQR)] overestimation was 6.9 [-12.1, 57.8]% for the control group event rate in trials with dichotomous outcomes and -1.5 [-15.3, 5.1]% for the standard deviation in trials with continuous outcomes. Our results show that there is room for improvement in the clear reporting of sample size calculations in pediatric clinical trials conducted in ICUs. Researchers should be aware of the importance of nuisance parameters in study design and in the interpretation of the results.

Indexed as

Critical CareIntensive Care Units, PediatricSample SizeClinical Trials as TopicData Interpretation, StatisticalHumansInfantInfant, NewbornIntensive Care, NeonatalIntensive Care Units, NeonatalModels, Statistical

Identifiers

PMID25004909
PMCPMC4107993

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.