Evidence map›Paper›PMID 35895225›Full record

ReviewDrug safety2022

A Review of Causal Inference for External Comparator Arm Studies.

Gerd Rippin, Nicolás Ballarini, Héctor Sanz, Joan Largent, Chantal Quinten, Francesco Pignatti

Abstract readReview
PubMed Publisher
In one paragraph

Review in Drug safety, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 3% of its field
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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. AI-based augmentation of oncology clinical trials.Nature reviews. Clinical oncology · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Observational
  15. Real-world evidence: new opportunities for osteoporosis research. Recommendations from a Working Group from the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO).Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2023
    Review
  16. External comparators and estimands.Frontiers in drug safety and regulation · 2023
    Article
  17. External Comparator Cohort studies - clarification of terminology.Frontiers in drug safety and regulation · 2023
    Article
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

6 authors at 2 institutions in 2 countries.

Gerd RippinIQVIA, Untere Schweinstiege 2-14, 60549, Frankfurt, Germany. gerd.rippin@iqvia.com.ORCID http://orcid.org/0000-0001-6293-8465
Nicolás BallariniIQVIA, Untere Schweinstiege 2-14, 60549, Frankfurt, Germany.
Héctor SanzIQVIA, Untere Schweinstiege 2-14, 60549, Frankfurt, Germany.
Joan LargentIQVIA, Untere Schweinstiege 2-14, 60549, Frankfurt, Germany.
Chantal QuintenEuropean Medicines Agency, Domenico Scarlattilaan 6, 1083 HS, Amsterdam, The Netherlands.
Francesco PignattiEuropean Medicines Agency, Domenico Scarlattilaan 6, 1083 HS, Amsterdam, The Netherlands.
European Medicines Agency · NLIQVIA (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Randomized controlled trials (RCTs) are the gold standard design to establish the efficacy of new drugs and to support regulatory decision making. However, a marked increase in the submission of single-arm trials (SATs) has been observed in recent years, especially in the field of oncology due to the trend towards precision medicine contributing to the rise of new therapeutic interventions for rare diseases. SATs lack results for control patients, and information from external sources can be compiled to provide context for better interpretability of study results. External comparator arm (ECA) studies are defined as a clinical trial (most commonly a SAT) and an ECA of a comparable cohort of patients-commonly derived from real-world settings including registries, natural history studies, or medical records of routine care. This publication aims to provide a methodological overview, to sketch emergent best practice recommendations and to identify future methodological research topics. Specifically, existing scientific and regulatory guidance for ECA studies is reviewed and appropriate causal inference methods are discussed. Further topics include sample size considerations, use of estimands, handling of different data sources regarding differential baseline covariate definitions, differential endpoint measurements and timings. In addition, unique features of ECA studies are highlighted, specifically the opportunity to address bias caused by unmeasured ECA covariates, which are available in the SAT.

Indexed as

Cohort StudiesBiasCausalityHumans

Identifiers

PMID35895225
OpenAlexW4288068110

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.