Evidence map›Paper›PMID 33853661›Full record

ArticleTrials2021

Conducting clinical trials during the COVID-19 pandemic-a collaborative trial network response.

Laura Robison, Yeoungjee Cho, Andrea K Viecelli, David W Johnson, Carmel M Hawley, Andrea Valks, Peta-Anne Paul-Brent, Ruth Stastny, Julie Varghese, Charani Kiriwandeniya and 7 more

Abstract readLetter
PubMed Full text at PMC Publisher
In one paragraph

Article in Trials, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. 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

17 authors.

Laura RobisonAustralasian Kidney Trials Network, The University of Queensland, Level 5, Translational Research Institute, 37 Kent Street, Woolloongabba, QLD, 4102, Australia. l.robison@uq.edu.au.ORCID http://orcid.org/0000-0002-9043-5942
Yeoungjee ChoAustralasian Kidney Trials Network, The University of Queensland, Level 5, Translational Research Institute, 37 Kent Street, Woolloongabba, QLD, 4102, Australia.
Andrea K ViecelliAustralasian Kidney Trials Network, The University of Queensland, Level 5, Translational Research Institute, 37 Kent Street, Woolloongabba, QLD, 4102, Australia.
David W JohnsonAustralasian Kidney Trials Network, The University of Queensland, Level 5, Translational Research Institute, 37 Kent Street, Woolloongabba, QLD, 4102, Australia.
Carmel M HawleyAustralasian Kidney Trials Network, The University of Queensland, Level 5, Translational Research Institute, 37 Kent Street, Woolloongabba, QLD, 4102, Australia.
Andrea ValksAustralasian Kidney Trials Network, The University of Queensland, Level 5, Translational Research Institute, 37 Kent Street, Woolloongabba, QLD, 4102, Australia.
Peta-Anne Paul-BrentAustralasian Kidney Trials Network, The University of Queensland, Level 5, Translational Research Institute, 37 Kent Street, Woolloongabba, QLD, 4102, Australia.
Ruth StastnyAustralasian Kidney Trials Network, The University of Queensland, Level 5, Translational Research Institute, 37 Kent Street, Woolloongabba, QLD, 4102, Australia.
Julie VargheseAustralasian Kidney Trials Network, The University of Queensland, Level 5, Translational Research Institute, 37 Kent Street, Woolloongabba, QLD, 4102, Australia.
Charani KiriwandeniyaAustralasian Kidney Trials Network, The University of Queensland, Level 5, Translational Research Institute, 37 Kent Street, Woolloongabba, QLD, 4102, Australia.
Elaine M PascoeAustralasian Kidney Trials Network, The University of Queensland, Level 5, Translational Research Institute, 37 Kent Street, Woolloongabba, QLD, 4102, Australia.
Liza A VergaraAustralasian Kidney Trials Network, The University of Queensland, Level 5, Translational Research Institute, 37 Kent Street, Woolloongabba, QLD, 4102, Australia.
Magid A FahimAustralasian Kidney Trials Network, The University of Queensland, Level 5, Translational Research Institute, 37 Kent Street, Woolloongabba, QLD, 4102, Australia.
Neil BoudvilleAustralasian Kidney Trials Network, The University of Queensland, Level 5, Translational Research Institute, 37 Kent Street, Woolloongabba, QLD, 4102, Australia.
Rathika KrishnasamyAustralasian Kidney Trials Network, The University of Queensland, Level 5, Translational Research Institute, 37 Kent Street, Woolloongabba, QLD, 4102, Australia.
Donna ReidlingerAustralasian Kidney Trials Network, The University of Queensland, Level 5, Translational Research Institute, 37 Kent Street, Woolloongabba, QLD, 4102, Australia.
Australasian Kidney Trials Network

Funding

National Health and Medical Research Council APP1092957
6 · The paper itself

Abstract

The unprecedented demand placed on healthcare systems from the COVID-19 pandemic has forced a reassessment of clinical trial conduct and feasibility. Consequently, the Australasian Kidney Trials Network (AKTN), an established collaborative research group known for conducting investigator-initiated global clinical trials, had to efficiently respond and adapt to the changing landscape during COVID-19. Key priorities included ensuring patient and staff safety, trial integrity and network sustainability for the kidney care community. New resources have been developed to enable a structured review and contingency plan of trial activities during the pandemic and beyond.

Indexed as

Clinical Trials as TopicCOVID-19PandemicsAustralasiaHumansResearch Personnel

Identifiers

PMID33853661
PMCPMC8045567

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.