Pharmacovigilance · WHO-UMC · ADR Case Review
WHO-UMC Causality Assessment
Free WHO-UMC causality assessment helper for adverse drug reaction categories. Map temporal relationship, dechallenge, rechallenge, alternatives, and data completeness to a likely ADR category—with links to seriousness, SUSAR, signal detection, and ICSR workflows.
Quick Answer
The WHO-UMC causality assessment system classifies whether a suspected medicine caused an adverse event using six categories: Certain, Probable/Likely, Possible, Unlikely, Conditional/Unclassified, and Unassessable/Unclassifiable. Assessment weighs temporal relationship, alternative explanations, dechallenge, rechallenge when ethical, pharmacological plausibility, and data completeness—not a numeric score. This free interactive helper supports ICSR medical review and pharmacovigilance documentation; final category assignment requires qualified medical judgment and company SOPs.
WHO-UMC causality categories (ordinal confidence)
Certain → Probable/Likely → Possible → Unlikely · Conditional/Unclassified · Unassessable/Unclassifiable
Qualitative global introspection—not a numeric score. All category criteria should be reasonably complied with per the official WHO-UMC document.
Interactive helper
Assess Likely WHO-UMC Category
Answer each field from the case narrative, source documents, medical history, concomitant medication record, and follow-up data. The output is a category helper, not a final regulatory or medical determination.
How to Use This Helper
WHO-UMC Causality Categories
| Category | Core WHO-UMC decision logic |
|---|---|
| Certain | Plausible time relationship; cannot be explained by disease or other drugs; plausible withdrawal response; definitive pharmacological or phenomenological event; rechallenge satisfactory if necessary. |
| Probable/Likely | Reasonable time relationship; unlikely to be attributed to disease or other drugs; clinically reasonable response to withdrawal; rechallenge not required. |
| Possible | Reasonable time relationship, but could also be explained by disease or other medicines, or withdrawal information is unclear or absent. |
| Unlikely | Temporal relationship makes a causal association improbable, or another drug, disease, procedure, or condition provides a more likely explanation. |
| Conditional/Unclassified | Event needs more data for proper assessment, or additional information is under examination. |
| Unassessable/Unclassifiable | Report suggests an adverse reaction but cannot be judged because information is insufficient, contradictory, or cannot be supplemented or verified. |
WHO-UMC notes that few adverse reactions are truly Certain or Unlikely; most cases fall between Possible and Probable/Likely depending on chronology, alternative causes, and withdrawal information quality.
WHO-UMC vs Naranjo vs Bradford Hill
WHO-UMC
Qualitative six-category scale for individual case review. No numeric score. Standard in global spontaneous reporting and many ICSR workflows.
Naranjo algorithm
Weighted questionnaire producing a numeric score mapped to definite, probable, possible, or doubtful. More rigid; useful for training but may not align one-to-one with WHO-UMC categories.
Bradford Hill
Epidemiologic causality criteria (strength, consistency, temporality, etc.) for population-level inference—not designed for single ICSR triage in pharmacovigilance databases.
PV Workflow for Pharma Professionals
Causality assessment sits after case intake and seriousness triage in individual case safety report (ICSR) processing. Safety teams confirm minimum validity, code events in MedDRA, apply ICH E2A seriousness criteria, then assign WHO-UMC or company-equivalent causality before evaluating expectedness and expedited reportability.
A typical workflow: (1) intake and duplicate check; (2) Seriousness Checker for ICH E2A SAE criteria; (3) WHO-UMC causality with this helper; (4) expectedness against IB, SmPC, or label; (5) SUSAR Assessment for investigational studies; (6) E2B(R3) submission with drug–reaction relatedness fields; (7) aggregate review via Signal Detection when disproportionality screening follows case-level work.
Case-level causality is distinct from signal validation: PRR/ROR screens are hypothesis-generating and do not establish that a product caused an event in any individual report. Use ICSR Case Processing guidance for validity, follow-up, and narrative quality alongside this tool.
Limitations
Not a regulator-specific rule engine
Local reporting obligations, causality conventions, and study-specific rules can differ by authority, sponsor, and protocol.
Not a clinical diagnosis
The result depends on the accuracy of the case record and does not establish medical causation or product liability.
Not a substitute for follow-up
Limited or contradictory data should prompt targeted follow-up rather than forced certainty—Conditional/Unclassified is often appropriate during active case work.
Evidence & Sources
- WHO-UMC: The use of the WHO-UMC system for standardised case causality assessment (official PDF)
- WHO: Causality assessment publication overview
- Agreement between WHO-UMC causality scale and the Naranjo algorithm (PMC)
- ICH E2B(R3) Implementation Guide — ICSR drug–reaction relatedness fields
- EMA GVP Module VI — Management and submission of reports
- Competitive landscape: The official WHO-UMC causality PDF is authoritative but static—not interactive. Med Tech Talents offers an unofficial checkbox WHO-UMC helper on a medtech training site without pharma PV workflow integration. NovaPharmaNews provides a free interactive WHO-UMC helper citing the official document, with integrated links to signal detection, seriousness, SUSAR, and ICSR case processing—confirm all categories against your SOP and medical review.