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Clinical Atlas Prestige · Evidence-first

Psych MEQs / SAQsProfessional practice — critical appraisal and EBM

Psych MEQs / SAQs · Professional practice — critical appraisal and EBM

Critical appraisal of an antidepressant RCT abstract (MEQ)

FRANZCP/MRCPsych-style MEQ on RCT validity, bias taxonomy, ARR/NNT calculation, and applicability in psychiatry.

20 marks20 min
On this page & tools

Target exams

FRANZCPMRCPsychABPNMD-DNB

Target exams

FRANZCPMRCPsychABPNMD-DNB
Prompt
You are preparing for journal club and MRCPsych/FRANZCP-style critical appraisal. Abstract (fictional numbers for exam practice): Double-blind RCT of Drug A versus placebo in adults with moderate major depression (HAM-D 18–24). N=180 randomised (90 per arm). Allocation described as 'randomised by clinic staff using open list'. Primary outcome: mean HAM-D change at 8 weeks. Completer analysis (28% dropout on drug, 18% on placebo) shows mean difference −3.2 points (p=0.04). Abstract headline: 'Drug A reduces depression by 40% relative to placebo'. Absolute response rates (50% HAM-D reduction) not reported in the abstract. (i) Write a PICO for the study. (ii) List the major validity threats and map each to a bias domain. (iii) Explain what additional numbers you need to compute ARR and NNT for response, and why RRR alone is inadequate. (iv) Interpret a hypothetical response rate of 50% drug vs 35% placebo (ARR, RRR, NNT). (v) Give a one-sentence applicability conclusion for a comorbid substance-using outpatient excluded by the trial. (20 marks)

Model answer

Reveal model answer

(i) PICO. P: adults with moderate MDD (HAM-D 18–24). I: Drug A. C: placebo. O: depressive symptom change at 8 weeks (primary continuous HAM-D); response rates should also be sought as patient-interpretable outcomes.[1]

(ii) Validity threats. Open randomisation list → failed allocation concealment → selection/allocation bias; empirically linked to exaggerated effects.[3] Completer analysis with differential dropout (28% vs 18%) → attrition bias / missing outcome data domain; ITT not used.[4][5] Continuous scale primary outcome is acceptable if blinded, but abstract does not confirm rater blinding — if open, detection bias. Headline relative claim without absolute response rates is reporting/spin concern (CONSORT expects complete outcome reporting).[6] Map to RoB 2: randomisation process (concealment), missing outcome data, measurement of the outcome, selection of the reported result.[5]

(iii) Numbers for ARR/NNT. Need event rates (or counts) for a dichotomous patient-important outcome such as response or remission in each arm, analysed preferably by ITT. ARR = CER − EER; NNT = 1/ARR. RRR alone can make small absolute benefits look large and does not communicate effort required to help one patient.[2]

(iv) Worked numbers. CER 35%, EER 50% response → if response is the good event, absolute risk increase in response = 15% = 0.15; NNT = 1/0.15 ≈ 6.7 → 7. Relative increase in response = 0.15/0.35 ≈ 43% (similar rhetoric to the abstract's "40%" marketing line). Always state duration (8 weeks) and outcome definition.[2]

(v) Applicability. External validity is limited: a comorbid substance-using outpatient was excluded, so baseline risk, adherence, and drug–drug/interaction context differ; even if internal validity were repaired, one cannot assume the same ARR — shared decision-making with explicit uncertainty and monitoring is appropriate rather than automatic adoption.[1]

Common errors

Ignoring concealment; treating p=0.04 continuous difference as NNT; accepting RRR headline; equating completer analysis with ITT; declaring the drug "proven" for excluded populations; inventing CONSORT item numbers rather than principles.[3][4][6]

References

  1. [1]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
  2. [2]Laupacis A, Sackett DL, Roberts RS An assessment of clinically useful measures of the consequences of treatment N Engl J Med, 1988.PMID 3374545
  3. [3]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
  4. [4]Hollis S, Campbell F What is meant by intention to treat analysis? Survey of published randomised controlled trials BMJ, 1999.PMID 10480822
  5. [5]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
  6. [6]Schulz KF, Altman DG, Moher D; CONSORT Group CONSORT 2010 statement: updated guidelines for reporting parallel group randomised trials BMJ, 2010.PMID 20332509