Evidence map›Paper›PMID 38308083›Full record

ArticleEuropean journal of human genetics : EJHG2024

The value of genomic testing in severe childhood speech disorders.

Yan Meng, Stephanie Best, David J Amor, Ruth Braden, Angela T Morgan, Ilias Goranitis

Abstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Childhood motor speech disorders: who to prioritise for genetic testing.European journal of human genetics : EJHG · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Artificial intelligence - the next generation of sequencing?European journal of human genetics : EJHG · 2024
    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

6 authors.

Yan MengThe University of Melbourne, Parkville, VIC, Australia.
Stephanie BestThe University of Melbourne, Parkville, VIC, Australia.ORCID 0000-0002-1107-8976
David J AmorThe University of Melbourne, Parkville, VIC, Australia.ORCID 0000-0001-7191-8511
Ruth BradenMurdoch Children's Research Institute, Parkville, VIC, Australia.
Angela T Morgan *The University of Melbourne, Parkville, VIC, Australia. amor@unimelb.edu.au.ORCID 0000-0003-1147-7405
Ilias Goranitis *The University of Melbourne, Parkville, VIC, Australia. ilias.goranitis@unimelb.edu.au.ORCID 0000-0001-7946-8324

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With increasing gene discoveries for severe speech disorders, genomic testing can alter the diagnostic and clinical paradigms, enabling better life outcomes for children and their families. However, evidence on the value of the outcomes generated is lacking, impeding optimal translation into health care. This study aims to estimate the value and uptake of genomic testing for severe childhood speech disorders. A discrete choice experiment was undertaken to elicit preferences for genomic testing from the perspective of the Australian public (n = 951) and parents of children experiencing severe speech disorder (n = 56). Choice attributes associated with genomic testing were identified through focus groups. A Bayesian D-efficient design was used to develop choice scenarios and choice data were analyzed using a panel error component mixed logit model and a latent class model. Statistically significant preferences were identified across all seven attributes. The mean monetary value of the benefits of genomic testing relative to standard diagnostic care in Australia was estimated at AU$7489 (US$5021) and AU$4452 (US$2985) from the perspectives of the Australian public and families with lived experience of severe speech disorders, with a corresponding test uptake of 94.2% and 99.6%. To ensure fair prioritization of genomics, decision-makers need to consider the wide range of risks and benefits associated with genomic information.

Indexed as

Choice BehaviorGenetic TestingAustraliaBayes TheoremChildHumansPatient PreferenceSpeech DisordersSurveys and Questionnaires

Identifiers

PMID38308083
PMCPMC10999408

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.