Systematic Review, Meta-analysis and Heterogeneity
Systematic-review appraisal, fixed and random effects, forest plots, heterogeneity, reporting, sensitivity analysis and limits of pooled estimates.
How to prepare for MRCPsych Paper B
Integrate clinical formulation, safety and current UK practice with disciplined appraisal of design, bias, estimates and applicability.
Core concepts
Concept 1
A systematic review uses a predefined, reproducible question, search, selection, appraisal and synthesis; meta-analysis is an optional statistical component, not a synonym.
Exam cue: Check protocol, search breadth, duplicate selection, risk-of-bias assessment and handling of missing studies before reading the pooled diamond.
Concept 2
Clinical, methodological and statistical heterogeneity determine whether pooling is meaningful and how fixed-effect or random-effects estimates should be interpreted.
Exam cue: When results differ, investigate populations, interventions, outcomes, design and chance before choosing a model.
Risk pitfalls and guardrails
Assuming a narrow pooled confidence interval corrects bias in the included studies.
Guardrail: Do not equate statistical significance with importance or a non-significant result with proof of no effect.
Using a random-effects model as an automatic solution to unexplained heterogeneity.
Guardrail: Do not equate statistical significance with importance or a non-significant result with proof of no effect.
Memory anchors
How does systematic review differ from meta-analysis?
Systematic review is the complete structured evidence-synthesis process; meta-analysis statistically pools compatible results.
What does statistical heterogeneity mean?
Observed study effects vary more than expected from sampling error alone under the model.
What does a forest plot show?
Individual study effects and precision plus any pooled estimate and its confidence interval.
Why inspect publication bias?
Missing small or unfavourable studies can distort the available evidence and pooled effect.
What does a random-effects model assume?
True effects may vary across studies according to a distribution, adding between-study variance to uncertainty.
Checkpoint rule
Do the check-up only after you can summarize each concept in one sentence and identify one dangerous pitfall from memory.
Knowledge Check (after reading)
Short check-up to confirm understanding of this module.
Check-up Questions
A paper pools three trials found by an undocumented search and calls itself a systematic review. What essential feature is missing?
A systematic review finds studies too clinically different to combine statistically. What is the best response?
Answer all questions to submit.
Next step personalized recommendations
Continue learning
Move forward only after this module is stable.
What is Pass Harbor?
Completely free exam prep for 247 UK exams.
- Practice questions
- Flashcards
- Study guides
- Mock exams
- No registration
- No paywall
- Start instantly
“No more expensive exam prep. Quality study tools should be accessible to everyone.”