ArticleHGG advances2023
Project Inclusive Genetics: Protecting reproductive autonomy from bias via prenatal patient-centered counseling.
Article in HGG advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Disability, Genetic Counseling, and Medical Education: From Eugenics to Anti-Ableism.Annual review of genomics and human genetics · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Clinician bias negatively impacts the healthcare received by marginalized communities. In this study, we explored factors that influence clinician and trainee bias against individuals with intellectual disabilities and its impact on clinical judgment in prenatal genetic testing settings. Specifically, we examined bias toward a fetus with a higher chance of developing a disability. We compared genetics specialists with their non-expert counterparts. This web-based study included clinical vignettes, implicit association tests (IATs), and an educational module. 595 participants were recruited via their institution or professional society. We conducted statistical analyses, including regression models controlling for key demographic characteristics, to analyze recommendation patterns and degree of change after the module. Genetics expertise strongly correlated with appropriate testing recommendation when the patient would not consider pregnancy termination (r = 1.784 pre-module, r = 1.502 post-module, p < 0.01). Factors that influenced pre-module recommendation to test include increased age (r = -0.029, p < 0.05), high religiosity (r = 0.525, p < 0.05), and participant personal preference against testing (r = 1.112, p < 0.01). Responses among participants without genetics expertise improved after the educational module (
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Registered trials
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.