ArticleJournal of community genetics2018
Methods to estimate access to care and the effect of interventions on the outcomes of congenital disorders.
Article in Journal of community genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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Who cites it
7 citing papers in PubMed, 13 citations in OpenAlex.
- Perinatal Outcomes in Patients With Neural Tube Defects in a Middle-Income Setting.Birth defects research · 2025Article
- Modelled epidemiological data for selected congenital disorders in South Africa.Journal of community genetics · 2021Article
- Observed birth prevalence of congenital anomalies among live births at a regional facility in KwaZulu Natal Province, South Africa.PloS one · 2021Observational
- Effectiveness of the Preventive Intervention of Chromosomal Disorders of Iran's Community Genetics Program: Application of Bayesian Network.Medical journal of the Islamic Republic of Iran · 2021Article
- Haemoglobin disorders-a point of entry for community genetics services in India?Journal of community genetics · 2020Article
- Rare single gene disorders: estimating baseline prevalence and outcomes worldwide.Journal of community genetics · 2018Article
- Estimating the birth prevalence and pregnancy outcomes of congenital malformations worldwide.Journal of community genetics · 2018Article
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 at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the absence of intervention, early-onset congenital disorders lead to pregnancy loss, early death, or disability. Currently, lack of epidemiological data from many settings limits the understanding of the burden of these conditions, thus impeding health planning, policy-making, and commensurate resource allocation. The Modell Global Database of Congenital Disorders (MGDb) seeks to meet this need by combining general biological principles with observational and demographic data, to generate estimates of the burden of congenital disorders. A range of interventions along the life course can modify adverse outcomes associated with congenital disorders. Hence, access to and quality of services available for the prevention and care of congenital disorders affects both their birth prevalence and the outcomes for affected individuals. Information on this is therefore important to enable burden estimates for settings with limited observational data, but is lacking from many settings. This paper, the third in this special issue on methods used in the MGDb for estimating the global burden of congenital disorders, describes key interventions that impact on outcomes of congenital disorders and methods used to estimate their coverage where empirical data are not available.
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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.