Evidence map›Paper›PMID 31169324›Full record

ReviewBritish journal of clinical pharmacology2019

Susceptibility to adverse drug reactions.

Robin Ferner, Jeffrey Aronson

Abstract readReview
In one paragraph

Review in British journal of clinical pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Medications, epilepsy and climate change: Added layers of complexity.British journal of clinical pharmacology · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Statin doses after acute coronary syndrome.Australian prescriber · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. On precision dosing of oral small molecule drugs in oncology.British journal of clinical pharmacology · 2021
    Review
  16. Review
  17. The rationale of dose-response curves in selecting cancer drug dosing.British journal of clinical pharmacology · 2019
    Review
  18. Article
  19. Review
  20. Susceptibility to adverse drug reactions.British journal of clinical pharmacology · 2019
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Robin FernerWest Midlands Centre for Adverse Drug Reactions, City Hospital, Birmingham, UK.ORCID 0000-0003-3769-1346
Jeffrey AronsonWest Midlands Centre for Adverse Drug Reactions, City Hospital, Birmingham, UK.ORCID 0000-0003-1139-655X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pharmacological effects of a drug depend on its concentration at the site of action, and therefore on the concentration in blood and on the dose. The relationship between the concentration or dose and the corresponding effect can usually be represented mathematically as a rectangular hyperbola; when effect is plotted against log concentration or log dose, the curve is sigmoidal. Inevitably, the effect size and the doses causing benefit and harm will differ among individuals, since they are biological phenomena: some individuals are more likely than others to suffer harm at any given dose. Some harmful effects can occur at much lower doses than those used in therapeutics; that is, the log dose-response curve for harm lies far to the left of the log dose-response curve for benefit. Those who suffer such reactions are hypersusceptible. When the dose-response curves for harm and therapeutic effect are in the same range, dose cannot separate the harmful effects from the therapeutic effects, and adverse reactions are collateral. Toxic effects occur when harmful doses are above the doses needed for benefit. In this review we consider factors that influence a subject's susceptibility to adverse drug reactions. Determinants of susceptibility include Immunological, Genetic, demographic (Age and Sex), Physiological and Exogenous factors (drug-drug interactions, for example), and Diseases and disorders such as renal failure, giving the mnemonic I GASPED. Some susceptibility factors are discrete (for example, all-or-none) and some are continuous; susceptibility can therefore be discrete or continuous; and the factors can interact to determine a person's overall susceptibility to harm.

Indexed as

Disease SusceptibilityAnimalsDose-Response Relationship, DrugDrug InteractionsDrug-Related Side Effects and Adverse ReactionsGenetic Predisposition to DiseaseHumansPharmaceutical PreparationsPharmaceutical Preparationsadverse drug reactionsgenetic polymorphismspharmacodynamicspharmacokineticsprescribing

Identifiers

PMID31169324
PMCPMC6783620

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.