Evidence map›Paper›PMID 32972373›Full record

ReviewBMC medical research methodology2020

Integrating trials into a whole-population cohort of children and parents: statement of intent (trials) for the Generation Victoria (GenV) cohort.

Melissa Wake, Yanhong Jessika Hu, Hayley Warren, Margie Danchin, Michael Fahey, Francesca Orsini, Maurizio Pacilli, Kirsten P Perrett, Richard Saffery, Andrew Davidson

Abstract readReview
In one paragraph

Review in BMC medical research methodology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Cohort Profile: Generation Victoria (GenV).International journal of epidemiology · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Study protocol: Generation Victoria (GenV) special care nursery registry.International journal of population data science · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. 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

10 authors.

Melissa WakeMurdoch Children's Research Institute, The Royal Children's Hospital, 50 Flemington Road, Parkville, VIC, 3052, Australia. melissa.wake@mcri.edu.au.ORCID 0000-0001-7501-9257
Yanhong Jessika HuMurdoch Children's Research Institute, The Royal Children's Hospital, 50 Flemington Road, Parkville, VIC, 3052, Australia.
Hayley WarrenMurdoch Children's Research Institute, The Royal Children's Hospital, 50 Flemington Road, Parkville, VIC, 3052, Australia.
Margie DanchinMurdoch Children's Research Institute, The Royal Children's Hospital, 50 Flemington Road, Parkville, VIC, 3052, Australia.
Michael FaheyDepartment of Paediatrics, Monash University, Clayton, VIC, 3168, Australia.
Francesca OrsiniMurdoch Children's Research Institute, The Royal Children's Hospital, 50 Flemington Road, Parkville, VIC, 3052, Australia.
Maurizio PacilliDepartment of Paediatrics, Monash University, Clayton, VIC, 3168, Australia.
Kirsten P PerrettMurdoch Children's Research Institute, The Royal Children's Hospital, 50 Flemington Road, Parkville, VIC, 3052, Australia.
Richard SafferyMurdoch Children's Research Institute, The Royal Children's Hospital, 50 Flemington Road, Parkville, VIC, 3052, Australia.
Andrew DavidsonMurdoch Children's Research Institute, The Royal Children's Hospital, 50 Flemington Road, Parkville, VIC, 3052, Australia.

Funding

Melbourne Children's Clinician Scientist FellowshipNational Health and Medical Research Council Principal Research Fellowship 1160906Royal Children's Hospital Foundation 2019-1226University of Melbourne David Bickart Clinician Scientist FellowshipVictorian Government Operational Infrastructure Support Program
6 · The paper itself

Abstract

backgroundVery large cohorts that span an entire population raise new prospects for the conduct of multiple trials that speed up advances in prevention or treatment while reducing participant, financial and regulatory burden. However, a review of literature reveals no blueprint to guide this systematically in practice. This Statement of Intent proposes how diverse trials may be integrated within or alongside Generation Victoria (GenV), a whole-of-state Australian birth cohort in planning, and delineates potential processes and opportunities.

methodsParents of all newborns (estimated 160,000) in the state of Victoria, Australia, will be approached for two full years from 2021. The cohort design comprises four elements: (1) consent soon after birth to follow the child and parent/s until study end or withdrawal; retrospective and prospective (2) linkage to clinical and administrative datasets and (3) banking of universal and clinical biosamples; and (4) GenV-collected biosamples and data. GenV-collected data will focus on overarching outcome and phenotypic measures using low-burden, universal-capable electronic interfaces, with funding-dependent face-to-face assessments tailored to universal settings during the early childhood, school and/or adult years.

resultsFor population or registry-type trials within GenV, GenV will provide all outcomes data and consent via traditional, waiver, or Trials Within Cohorts models. Trials alongside GenV consent their own participants born within the GenV window; GenV may help identify potential participants via opt-in or opt-out expression of interest. Data sharing enriches trials with outcomes, prior data, and/or access to linked data contingent on custodian's agreements, and supports modeling of causal effects to the population and between-trials comparisons of costs, benefits and utility. Data access will operate under the Findability, Accessibility, Interoperability, and Reusability (FAIR) and Care and Five Safes Principles. We consider governance, ethical and shared trial oversight, and expectations that trials will adhere to the best practice of the day.

conclusionsChildren and younger adults can access fewer trials than older adults. Integrating trials into mega-cohorts should improve health and well-being by generating faster, larger-scale evidence on a longer and/or broader horizon than previously possible. GenV will explore the limits and details of this approach over the coming years.

Indexed as

FamilyParentsAgedChildChild, PreschoolHumansInfant, NewbornProspective StudiesRetrospective StudiesVictoriaChildrenClinical trial as topicGeneration Victoria (GenV)InterventionMultiple baseline randomized trialsPopulation studiesRandomizationRegistry trialsResearch methodologyTrials within cohorts

Identifiers

PMID32972373
PMCPMC7512047

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.