Article in European journal of human genetics : EJHG, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing 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.
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
16 authors.
David E Goldsbury *The Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, NSW, Australia.ORCID 0000-0001-6247-2706
Yoon-Jung Kang *The Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, NSW, Australia.ORCID 0000-0003-4045-1941
Hamzeh M TanhaThe Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, NSW, Australia.ORCID 0000-0003-0818-3481
Amelia K SmitThe Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, NSW, Australia.ORCID 0000-0001-5712-220X
Kate L A DunlopThe Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, NSW, Australia.ORCID 0000-0001-9544-9764
Lara PetelinThe Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, NSW, Australia.ORCID 0000-0003-3245-8895
Preston NgoThe Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, NSW, Australia.ORCID 0000-0001-5453-0734
Harriet HuiThe Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, NSW, Australia.ORCID 0009-0006-4548-1217
Nicola S MeagherThe Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, NSW, Australia.ORCID 0000-0001-9134-2118
Melissa A MerrittThe Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, NSW, Australia.ORCID 0000-0002-5067-6119
Marianne WeberThe Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, NSW, Australia.ORCID 0000-0001-5731-9651
Anna DeFazioThe Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, NSW, Australia.ORCID 0000-0003-0057-4744
Anne E CustThe Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, NSW, Australia.ORCID 0000-0002-5331-6370
Karen CanfellSchool of Public Health, The University of Sydney, Sydney, NSW, Australia.ORCID 0000-0002-6443-6618
Julia SteinbergThe Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, NSW, Australia. Julia.steinberg@sydney.edu.au.ORCID 0000-0002-0585-2312
Funding
Cancer Institute NSW (Cancer Institute New South Wales) 2022/CDF1154Department of Health | National Health and Medical Research Council (NHMRC) 2008454Department of Health | National Health and Medical Research Council (NHMRC) 2009923Department of Health | National Health and Medical Research Council (NHMRC) 2024995Department of Health | National Health and Medical Research Council (NHMRC) APP1194679Department of Health | National Health and Medical Research Council (NHMRC) MRF2007708Department of Health | National Health and Medical Research Council (NHMRC) MRFF 1200535Department of Health | National Health and Medical Research Council (NHMRC) MRFF2024995U.S. Department of Defense (United States Department of Defense) W81XWH-21-1-0914
6 · The paper itself
Abstract
With increasing availability of genetic tests, it is important to consider differences in testing patterns between population subgroups. We examined self-reported genetic testing among 45,061 participants of the Australian population-based 45 and Up Study, testing for associations with sociodemographic and health characteristics (multivariable logistic regression). 9.2% of participants reported ever having genetic testing; 3.9% reported disease-related testing, 5.2% non-disease-related testing, 0.7% both disease-related and non-disease-related testing. Disease-related genetic testing was strongly associated with younger age, female sex, history of cancers and cardiovascular disease, and cancer family history. Disease-related testing was also strongly associated with higher education (university versus school certificate: adjusted OR [aOR] = 1.50 [95%CI:1.29-1.75]; certificate/diploma versus school certificate: aOR = 1.40 [95%CI:1.20-1.63]); there was suggestive evidence for association with higher household income ($AUD90,000+ versus <$AUD30,000: aOR = 1.22 [95%CI:1.02-1.46]), which strengthened when not adjusting for education (aOR = 1.34 [95%CI:1.13-1.60]). These results suggest further work on ensuring equitable access is needed to prevent potential health inequities.
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.
Sociodemographic and health factors associated with genetic testing in Australia: insights from a cohort-based study of 45,061 participants. · full record | OpenQuestion