Evidence map›Paper›PMID 35721054›Full record

ArticleFrontiers in medicine2022

The HIDDEN Protocol: An Australian Prospective Cohort Study to Determine the Utility of Whole Genome Sequencing in Kidney Failure of Unknown Aetiology.

Jacqueline Soraru, Sadia Jahan, Catherine Quinlan, Cas Simons, Louise Wardrop, Rosie O'Shea, Alasdair Wood, Amali Mallawaarachchi, Chirag Patel, Zornitza Stark and 1 more

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In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

11 authors.

Jacqueline SoraruDepartment of Nephrology and Hypertension, Perth Children's Hospital, Perth, WA, Australia.
Sadia JahanKidney Health Service, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia.
Catherine QuinlanAustralian Genomics, Murdoch Children's Research Institute, Melbourne, VIC, Australia.
Cas SimonsAustralian Genomics, Murdoch Children's Research Institute, Melbourne, VIC, Australia.
Louise WardropAustralian Genomics, Murdoch Children's Research Institute, Melbourne, VIC, Australia.
Rosie O'SheaAustralian Genomics, Murdoch Children's Research Institute, Melbourne, VIC, Australia.
Alasdair WoodAustralian Genomics, Murdoch Children's Research Institute, Melbourne, VIC, Australia.
Amali MallawaarachchiAustralian Genomics, Murdoch Children's Research Institute, Melbourne, VIC, Australia.
Chirag PatelAustralian Genomics, Murdoch Children's Research Institute, Melbourne, VIC, Australia.
Zornitza StarkAustralian Genomics, Murdoch Children's Research Institute, Melbourne, VIC, Australia.
Andrew John MallettFaculty of Medicine, Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early identification of genetic kidney disease allows personalised management, clarification of risk for relatives, and guidance for family planning. Genetic disease is underdiagnosed, and recognition of genetic disease is particularly challenging in patients with kidney failure without distinguishing diagnostic features. To address this challenge, the primary aim of this study is to determine the proportion of genetic diagnoses amongst patients with kidney failure of unknown aetiology, using whole genome sequencing (WGS). A cohort of up to 100 Australian patients with kidney failure of unknown aetiology, with onset <50 years old and approved by a panel of study investigators will be recruited Study Registration: [https://dora.health.qld.gov.au], identifier [HREC/16/MH/251].

Indexed as

genetic conditiongenetic kidney diseasegenomicskidney failureunknown aetiology

Identifiers

PMID35721054
PMCPMC9204488

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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.