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Paeds SAQsprofessional-practice-and-evidence

Paeds SAQs · professional-practice-and-evidence

Paediatric study design and bias — formative SAQs

Formative SAQs on choosing study designs and assessing bias in paediatric research.

20 marks30 min4 min readVerification in progress

Target exams

RACP General PaediatricsMRCPCH TheoryABP General Pediatrics
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Study tools

Target exams

RACP General PaediatricsMRCPCH TheoryABP General Pediatrics
Prompt
Paediatric study design and bias

SAQ 1 (10 marks)

You are asked to appraise a randomised controlled trial of a new paediatric therapy. The trial reports a large and statistically significant benefit, but the methods section is vague about how participants were allocated to the treatment and placebo groups, and 25 percent of participants were lost to follow-up. [1]

  1. Name the design manoeuvre that is most critical to the validity of a randomised trial, and explain why inadequate conduct of it empirically distorts the result. (3) [6]
  2. Using the RoB 2 tool, outline the domains you would assess and the specific concern raised by the 25 percent loss to follow-up. (4) [8]
  3. Explain how you would judge whether this trial's result applies to a seven-year-old child in your clinic, and what you would do if the applicability were uncertain. (3) [1] [8]

Model answer

The design manoeuvre most critical to a trial's validity is allocation concealment, which hides each assignment until it is irreversible and prevents staff from steering certain patients toward the arm they prefer. When allocation concealment is inadequate, the comparison between groups is corrupted at the moment of enrolment, because the groups may then differ in prognostic factors rather than only in the treatment received. The empirical evidence from Schulz and colleagues is that trials without adequate allocation concealment exaggerate the treatment effect by about 30 to 40 percent compared with adequately concealed trials. A large and significant benefit from a trial whose allocation is vaguely reported is therefore the signature of bias rather than of a breakthrough, and the result must be read down toward the null. [6] [8]

The RoB 2 tool assesses five domains: the randomisation process, which addresses both sequence generation and allocation concealment; deviations from intended interventions, which covers blinding; missing outcome data, which is the concern raised by the 25 percent loss; measurement of the outcome, which checks whether assessment was blinded; and selection of the reported result, which checks for selective reporting. The 25 percent loss to follow-up exceeds the 20 percent threshold that threatens validity, because those lost may differ systematically from those who remained in the trial. I would judge whether the loss was differential across arms, whether the missing data could have changed the conclusion, and whether a sensitivity analysis was performed. If the missing data could plausibly have erased the benefit, I would rate the missing-outcome domain as high risk of bias and downgrade the certainty accordingly. [8]

To judge applicability, I would compare the trial's population, intervention, comparator, outcome, and setting with the child in front of me using PICO concordance. I would check whether seven-year-olds were included, whether the dose and the outcome definition match my patient's needs, and whether the setting resembles my clinic. If the applicability were uncertain, for example because the trial excluded the child's age band or complexity, I would downgrade the certainty for indirectness, choose the reversible option where possible, involve the family in shared decision-making, and arrange close follow-up while better evidence is sought. [1] [8]

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References8ShowHide
  1. [1]Sackett DL, Rosenberg WM, Gray JA, Haynes RB, Richardson WS Evidence based medicine: what it is and what it isn't BMJ, 1996.PMID 8555924
  2. [2]Grimes DA, Schulz KF An overview of clinical research: the lay of the land Lancet, 2002.PMID 11809203
  3. [3]Grimes DA, Schulz KF Cohort studies: marching towards outcomes Lancet, 2002.PMID 11830217
  4. [4]Schulz KF, Grimes DA Case-control studies: research in reverse Lancet, 2002.PMID 11844534
  5. [5]Grimes DA, Schulz KF Bias and causal associations in observational research Lancet, 2002.PMID 11812579
  6. [6]Schulz KF, Chalmers I, Hayes RJ, Altman DG Empirical evidence of bias. Dimensions of methodological quality associated with estimates of treatment effects in controlled trials JAMA, 1995.PMID 7823387
  7. [7]Sterne JA, Hernán MA, Reeves BC, et al. ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions BMJ, 2016.PMID 27733354
  8. [8]Sterne JAC, Savović J, Page MJ, et al. RoB 2: a revised tool for assessing risk of bias in randomised trials BMJ, 2019.PMID 31462531
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