Evidence map›Paper›PMID 29621228›Full record

ArticlePLoS biology2018

Preclinical efficacy studies in investigator brochures: Do they enable risk-benefit assessment?

Susanne Wieschowski, William Wei Lim Chin, Carole Federico, Sören Sievers, Jonathan Kimmelman, Daniel Strech

Abstract read
In one paragraph

Article in PLoS biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–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

33 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. [Transparency in clinical research: What contribution does the new EU Regulation 536/2014 make?]Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2023
    Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Risk Assessment of Medical Study Procedures in the Documents Submitted to a Research Ethics Committee.Journal of empirical research on human research ethics : JERHRE · 2020
    Article
  19. Levelling the Translational Gap for Animal to Human Efficacy Data.Animals : an open access journal from MDPI · 2020
    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.

Susanne WieschowskiInstitute for Ethics, History, and Philosophy of Medicine, Hannover Medical School, Hannover, Germany.
William Wei Lim ChinInstitute for Ethics, History, and Philosophy of Medicine, Hannover Medical School, Hannover, Germany.
Carole FedericoStudies of Translation, Ethics, and Medicine (STREAM), Biomedical Ethics Unit, McGill University, Montreal, Québec, Canada.
Sören SieversInstitute for Ethics, History, and Philosophy of Medicine, Hannover Medical School, Hannover, Germany.
Jonathan KimmelmanStudies of Translation, Ethics, and Medicine (STREAM), Biomedical Ethics Unit, McGill University, Montreal, Québec, Canada.
Daniel StrechInstitute for Ethics, History, and Philosophy of Medicine, Hannover Medical School, Hannover, Germany.ORCID 0000-0002-9153-079X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human protection policies require favorable risk-benefit judgments prior to launch of clinical trials. For phase I and II trials, evidence for such judgment often stems from preclinical efficacy studies (PCESs). We undertook a systematic investigation of application materials (investigator brochures [IBs]) presented for ethics review for phase I and II trials to assess the content and properties of PCESs contained in them. Using a sample of 109 IBs most recently approved at 3 institutional review boards based at German Medical Faculties between the years 2010-2016, we identified 708 unique PCESs. We then rated all identified PCESs for their reporting on study elements that help to address validity threats, whether they referenced published reports, and the direction of their results. Altogether, the 109 IBs reported on 708 PCESs. Less than 5% of all PCESs described elements essential for reducing validity threats such as randomization, sample size calculation, and blinded outcome assessment. For most PCESs (89%), no reference to a published report was provided. Only 6% of all PCESs reported an outcome demonstrating no effect. For the majority of IBs (82%), all PCESs were described as reporting positive findings. Our results show that most IBs for phase I/II studies did not allow evaluators to systematically appraise the strength of the supporting preclinical findings. The very rare reporting of PCESs that demonstrated no effect raises concerns about potential design or reporting biases. Poor PCES design and reporting thwart risk-benefit evaluation during ethical review of phase I/II studies.

Indexed as

AnimalsBiasClinical Trials, Phase I as TopicClinical Trials, Phase II as TopicCommunicable DiseasesDrug Evaluation, PreclinicalDrugs, InvestigationalEuropeGastrointestinal DiseasesHumansImmune System DiseasesNeoplasmsPamphletsPractice Guidelines as TopicRespiratory Tract DiseasesRisk AssessmentDrugs, Investigational

Identifiers

PMID29621228
PMCPMC5886385

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.