Evidence map›Paper›PMID 31383705›Full record

ArticleBMJ open2019

Comprehensive evaluation of a prospective Australian patient cohort with suspected genetic kidney disease undergoing clinical genomic testing: a study protocol.

Kushani Jayasinghe, Zornitza Stark, Chirag Patel, Amali Mallawaarachchi, Hugh McCarthy, Randall Faull, Aron Chakera, Madhivanan Sundaram, Matthew Jose, Peter Kerr and 7 more

Open access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
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, 20 citations in OpenAlex.

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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 at 12 institutions in 1 country.

Kushani JayasingheDepartment of Nephrology, Monash Medical Centre, Melbourne, Victoria, Australia.ORCID 0000-0002-9268-8505
Zornitza StarkAustralian Genomics Health Alliance, Melbourne, Victoria, Australia.
Chirag PatelAustralian Genomics Health Alliance, Melbourne, Victoria, Australia.
Amali MallawaarachchiAustralian Genomics Health Alliance, Melbourne, Victoria, Australia.
Hugh McCarthyAustralian Genomics Health Alliance, Melbourne, Victoria, Australia.
Randall FaullAustralian Genomics Health Alliance, Melbourne, Victoria, Australia.
Aron ChakeraAustralian Genomics Health Alliance, Melbourne, Victoria, Australia.
Madhivanan SundaramAustralian Genomics Health Alliance, Melbourne, Victoria, Australia.
Matthew JoseAustralian Genomics Health Alliance, Melbourne, Victoria, Australia.
Peter KerrDepartment of Nephrology, Monash Medical Centre, Melbourne, Victoria, Australia.
You WuAustralian Genomics Health Alliance, Melbourne, Victoria, Australia.
Louise WardropAustralian Genomics Health Alliance, Melbourne, Victoria, Australia.
Ilias GoranitisAustralian Genomics Health Alliance, Melbourne, Victoria, Australia.
Stephanie BestAustralian Genomics Health Alliance, Melbourne, Victoria, Australia.
Melissa MartynMelbourne Genomics Health Alliance, Melbourne, Victoria, Australia.
Catherine QuinlanAustralian Genomics Health Alliance, Melbourne, Victoria, Australia.
Andrew J MallettAustralian Genomics Health Alliance, Melbourne, Victoria, Australia Andrew.Mallett@health.qld.gov.au.
The University of Melbourne · AUMonash Medical Centre · AUMurdoch Children's Research Institute · AUGarvan Institute of Medical Research · AURoyal Adelaide Hospital · AURoyal Brisbane and Women's Hospital · AURoyal Children's Hospital · AURoyal Darwin Hospital · AUSir Charles Gairdner Hospital · AUThe University of Queensland · AUThe University of Sydney · AUUniversity of Tasmania · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRecent advances in genomic technology have allowed better delineation of renal conditions, the identification of new kidney disease genes and subsequent targets for therapy. To date, however, the utility of genomic testing in a clinically ascertained, prospectively recruited kidney disease cohort remains unknown. The aim of this study is to explore the clinical utility and cost-effectiveness of genomic testing within a national cohort of patients with suspected genetic kidney disease who attend multidisciplinary renal genetics clinics. METHODS AND ANALYSIS: This is a prospective observational cohort study performed at 16 centres throughout Australia. Patients will be included if they are referred to one of the multidisciplinary renal genetics clinics and are deemed likely to have a genetic basis to their kidney disease by the multidisciplinary renal genetics team. The expected cohort consists of 360 adult and paediatric patients recruited by December 2018 with ongoing validation cohort of 140 patients who will be recruited until June 2020. The primary outcome will be the proportion of patients who receive a molecular diagnosis via genomic testing (diagnostic rate) compared with usual care. Secondary outcomes will include change in clinical diagnosis following genomic testing, change in clinical management following genomic testing and the cost-effectiveness of genomic testing compared with usual care. ETHICS AND DISSEMINATION: The project has received ethics approval from the Melbourne Health Human Research Ethics Committee as part of the Australian Genomics Health Alliance protocol: HREC/16/MH/251. All participants will provide written informed consent for data collection and to undergo clinically relevant genetic/genomic testing. The results of this study will be published in peer-reviewed journals and will also be presented at national and international conferences.

Indexed as

Genetic TestingResearch DesignAustraliaCohort StudiesCost-Benefit AnalysisGenomicsHumansKidney DiseasesMulticenter Studies as TopicObservational Studies as Topicchronic renal failuregenetic kidney diseasegeneticsgenomicsnephrology

Identifiers

PMID31383705
PMCPMC6687024
OpenAlexW2965772005

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.