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Folio edition · Set in Instrument Serif & Archivo

Paeds Vivasprofessional-practice-and-evidence

Paeds Vivas · professional-practice-and-evidence

Evidence-based medicine and critical appraisal — branching viva

Viva on evidence-based medicine and the critical appraisal of a paediatric study.

branching clinical structured oral
On this page & tools

Target exams

RACP DCEMRCPCH ClinicalRCPSC Pediatrics

Target exams

RACP DCEMRCPCH ClinicalRCPSC Pediatrics
Prompt
Journal club: you are given a randomised controlled trial claiming a new therapy halves the risk of a serious complication in children; the abstract reports a 50 percent relative risk reduction, a p-value of 0.04, and a confidence interval whose lower bound crosses unity in some subgroups.

Opening (candidate)

I would treat this as a structured critical appraisal rather than a result handover. First I would frame the question in PICO terms, then judge the internal validity with RoB 2 before reading the results, then extract the absolute effect and its confidence interval, and finally assess applicability to the patient and rate the certainty with GRADE. [2] [7]

Branch A — Definition and the order of appraisal

Examiner: Why must you judge validity before the results? [3]

Candidate: A biased or confounded estimate is wrong no matter how large, precise, or statistically significant it appears, so validity always comes first. I would score the risk of bias with RoB 2, focusing on randomisation, allocation concealment, blinding, attrition, and selective reporting, and only then read the magnitude and precision of the effect. [3] [6]

Branch B — Magnitude and precision

Examiner: The abstract quotes a 50 percent relative risk reduction. How do you convey this to a family? [1]

Candidate: A relative figure quoted alone inflates perceived benefit, so I would state the absolute baseline risk and the absolute risk reduction, give the number needed to treat, and read the confidence interval. Where the interval crosses unity in a subgroup, I would say plainly that the result there is compatible with both benefit and harm. [1] [6]

Branch C — Certainty and recommendation

Examiner: How do you move from this single trial to a recommendation? [4]

Candidate: I would place the trial in the totality of the evidence and rate the certainty with GRADE, starting from the design and moving down for risk of bias, inconsistency, indirectness, imprecision, or publication bias. I would then combine that certainty with the balance of benefits and harms and the family's values to set a strong or weak recommendation. [4] [5]

Branch D — Applicability

Examiner: The trial was done in adults. Your patient is a four-year-old. Your approach? [7]

Candidate: I would assess applicability by comparing the population, intervention, comparator, outcomes, and setting against the child, and rate the evidence down for indirectness under GRADE where the match is poor. I would present the residual uncertainty honestly and let the family share the decision in full knowledge of it. [7] [5]

Branch E — Failure mode

Examiner: A colleague tells the family the treatment is 'proven and risk-free'. [6]

Candidate: I would avoid contradicting my colleague harshly in front of the family, but I would not leave the overclaim uncorrected. I would acknowledge the reassurance, introduce the balanced benefit-and-harm picture with the absolute numbers and the confidence interval, and align the team afterwards so the family hears one defensible message. [6] [7]

Close

Confirm understanding with teach-back, leave a written summary of the appraised evidence and its certainty, name the next contact, and document the question, the evidence, the certainty rating, the shared decision, and the plan to reassess. [5] [7]

References

  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]Richardson WS, Wilson MC, Nishikawa J, Hayward RS The well-built clinical question: a key to evidence-based decisions ACP J Club, 1995.PMID 7582737
  3. [3]Sterne JAC, Savovic J, Page MJ, et al. RoB 2: a revised tool for assessing risk of bias in randomised trials BMJ, 2019.PMID 31462531
  4. [4]Balshem H, Helfand M, Schunemann HJ, et al. GRADE guidelines: 3. Rating the quality of evidence J Clin Epidemiol, 2011.PMID 21208779
  5. [5]Andrews J, Guyatt G, Oxman AD, et al. GRADE guidelines: 14. Going from evidence to recommendations: the significance and presentation of recommendations J Clin Epidemiol, 2013.PMID 23312392
  6. [6]Greenhalgh T How to read a paper. Statistics for the non-statistician. II: Significant relations and their pitfalls BMJ, 1997.PMID 9277611
  7. [7]Murad MH, Montori VM, Ioannidis JP, et al. How to read a systematic review and meta-analysis and apply the results to patient care: users' guides to the medical literature JAMA, 2014.PMID 25005654