Evidence map›Paper›PMID 41694056›Full record

ReviewJournal of clinical and translational science2026

Factors influencing the performance of clinical research networks to improve the success of cancer clinical trials: A scoping review and organizational analysis.

Elizabeth Jane Paton, Tim Luckett, Gerald Blaise Fogarty, Anthony Greville Shannon, Deborah Debono

Abstract readReview
In one paragraph

Review in Journal of clinical and translational science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Elizabeth Jane PatonUniversity of Technology Sydney, Faculty of Health, Ultimo, Australia.ORCID https://orcid.org/0000-0002-7698-3248
Tim LuckettUniversity of Technology Sydney, Faculty of Health, Ultimo, Australia.
Gerald Blaise FogartyUniversity of Technology Sydney, Faculty of Health, Ultimo, Australia.
Anthony Greville ShannonUniversity of Technology Sydney, Faculty of Health, Ultimo, Australia.
Deborah DebonoUniversity of Technology Sydney, Faculty of Health, Ultimo, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer clinical research networks (CRNs) play a vital role in medical research globally by generating investigator-initiated research, pooling expertise, and enabling recruitment across multiple sites. Completing clinical trials is challenging. Delays can slow the generation of evidence needed to refine the best patient treatments. The aim of this review was to identify factors that have been either proposed or shown by research to influence the performance of cancer CRNs to improve trial success, outcomes and impact. A scoping review was conducted using a systematic search across five databases [PROSPERO CRD42023414241]. Records were screened for eligibility. For included articles, data on factors and research methods were extracted independently by up to three reviewers, and disagreements resolved by discussion. 1928 articles were returned, 13 were included. Articles reported on 11 membership-based cancer CRNs with headquarters in four countries (eight in the USA). Factors influencing CRN performance broadly fell into six categories: site, CRN, patient, regulatory, policy and industry factors, with subcategories in each case. These findings may help to inform future research to prioritize and improve the day-to-day performance of membership-based cancer CRNs and other trial sponsors to optimize clinical trial success. Further research is warranted.

Indexed as

cancerclinicalresearchclinical research networksrandomized controlled trialsSystematic review

Identifiers

PMID41694056
PMCPMC12895488

What OpenQuestion holds

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LicenceCC BY
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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.