Evidence map›Paper›PMID 26460544›Full record

SynthesiseLife2015

A meta-analysis of threats to valid clinical inference in preclinical research of sunitinib.

Valerie C Henderson, Nadine Demko, Amanda Hakala, Nathalie MacKinnon, Carole A Federico, Dean Fergusson, Jonathan Kimmelman

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in eLife, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 4 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

26 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. NAM journal · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. The p value wars (again).European journal of nuclear medicine and molecular imaging · 2019
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Is Participation in Cancer Phase I Trials Really Therapeutic?Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2017
    Review
  16. Review
  17. Article
  18. 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

7 authors.

Valerie C HendersonStudies of Translation, Ethics and Medicine Research Group, Biomedical Ethics Unit, McGill University, Montréal, Canada.
Nadine DemkoStudies of Translation, Ethics and Medicine Research Group, Biomedical Ethics Unit, McGill University, Montréal, Canada.
Amanda HakalaStudies of Translation, Ethics and Medicine Research Group, Biomedical Ethics Unit, McGill University, Montréal, Canada.
Nathalie MacKinnonStudies of Translation, Ethics and Medicine Research Group, Biomedical Ethics Unit, McGill University, Montréal, Canada.
Carole A FedericoStudies of Translation, Ethics and Medicine Research Group, Biomedical Ethics Unit, McGill University, Montréal, Canada.
Dean FergussonDepartment of Clinical Epidemiology, Ottawa Hospital Research Institute, Ottawa, Canada.
Jonathan KimmelmanStudies of Translation, Ethics and Medicine Research Group, Biomedical Ethics Unit, McGill University, Montréal, Canada.

Funding

Canadian Institutes of Health Research EOG 111391
6 · The paper itself

Abstract

Poor study methodology leads to biased measurement of treatment effects in preclinical research. We used available sunitinib preclinical studies to evaluate relationships between study design and experimental tumor volume effect sizes. We identified published animal efficacy experiments where sunitinib monotherapy was tested for effects on tumor volume. Effect sizes were extracted alongside experimental design elements addressing threats to valid clinical inference. Reported use of practices to address internal validity threats was limited, with no experiments using blinded outcome assessment. Most malignancies were tested in one model only, raising concerns about external validity. We calculate a 45% overestimate of effect size across all malignancies due to potential publication bias. Pooled effect sizes for specific malignancies did not show apparent relationships with effect sizes in clinical trials, and we were unable to detect dose-response relationships. Design and reporting standards represent an opportunity for improving clinical inference.

Indexed as

AnimalsAntineoplastic AgentsClinical Trials as TopicDose-Response Relationship, DrugDrug Evaluation, PreclinicalIndolesNeoplasmsPyrrolesResearch DesignSunitinibTreatment OutcomeAntineoplastic AgentsIndolesPyrrolesSunitinibcancerepidemiologyglobal healthhuman biologymedicinemeta-analysismousepreclinicalratsystematic review

Identifiers

PMID26460544
PMCPMC4600817

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.