Evidence map›Paper›PMID 35070951›Full record

ReviewFrontiers in oncology2021

Application of Real-World Data to External Control Groups in Oncology Clinical Trial Drug Development.

Timothy A Yap, Ira Jacobs, Elodie Baumfeld Andre, Lauren J Lee, Darrin Beaupre, Laurent Azoulay

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
9.6field-weighted citation impact, top 1% 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

22 citing papers in PubMed, 40 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Trial
  4. Review
  5. Article
  6. Trajectory timelines and treatment efficacy ofCanadian Urological Association journal = Journal de l'Association des urologues du Canada · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. TheEClinicalMedicine · 2024
    Article
  17. Observational
  18. ESMO Guidance for Reporting Oncology real-World evidence (GROW).ESMO real world data and digital oncology · 2023
    Article
  19. Review
  20. 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 3 institutions in 2 countries.

Timothy A YapDepartment of Investigational Cancer Therapeutics (Phase I Program), Division of Cancer Medicine, the University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Ira JacobsPfizer Inc., New York, NY, United States.
Elodie Baumfeld AndrePfizer Inc., New York, NY, United States.
Lauren J LeePfizer Inc., New York, NY, United States.
Darrin BeauprePfizer Inc., New York, NY, United States.
Laurent AzoulayCentre for Clinical Epidemiology Lady Davis Institute, Jewish General Hospital, Montreal, QC, Canada.
Pfizer (United States) · USMcGill University · CAThe University of Texas MD Anderson Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Randomized controlled trials (RCTs) that assess overall survival are considered the "gold standard" when evaluating the efficacy and safety of a new oncology intervention. However, single-arm trials that use surrogate endpoints (e.g., objective response rate or duration of response) to evaluate clinical benefit have become the basis for accelerated or breakthrough regulatory approval of precision oncology drugs for cases where the target and research populations are relatively small. Interpretation of efficacy in single-arm trials can be challenging because such studies lack a standard-of-care comparator arm. Although an external control group can be based on data from other clinical trials, using an external control group based on data collected outside of a trial may not only offer an alternative to both RCTs and uncontrolled single-arm trials, but it may also help improve decision-making by study sponsors or regulatory authorities. Hence, leveraging real-world data (RWD) to construct external control arms in clinical trials that investigate the efficacy and safety of drug interventions in oncology has become a topic of interest. Herein, we review the benefits and challenges associated with the use of RWD to construct external control groups, and the relevance of RWD to early oncology drug development.

Indexed as

cancerclinical trialdesigndrug developmentexternal control grouponcologyRCTreal-world data

Identifiers

PMID35070951
PMCPMC8771908
OpenAlexW4206238712

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.