Chromosomal disorders
Estimating baseline birth prevalence and pregnancy outcomes worldwide
Bibliographic Data
| ID | 15673141 |
|---|---|
| Authors | Sowmiya Moorthie (0000-0002-7790-2630, London School of Hygiene & Tropical Medicine), Hannah Blencowe (0000-0003-1556-3159, London School of Hygiene & Tropical Medicine), Matthew Darlison (0000-0002-0054-6594, The Centre for Health (New Zealand)), Stephen Gibbons (0000-0002-2871-8562, London School of Hygiene & Tropical Medicine), Joy Elizabeth Lawn (0000-0002-4573-1443, London School of Hygiene & Tropical Medicine), Pierpaolo Mastroiacovo (0000-0002-8318-8664, Queen Mary University of London), Joan K Morris (0000-0002-7164-612X, Queen Mary University of London), Bernadette Modell (University College London) |
| Year | 2017 |
| Volume | 9 |
| Issue | 4 |
| Pages | 377-386 |
| Publication date | 2017-09-26 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Community Genetics (JOURNAL) |
| Journal identifiers | ISSN: 1868-310X • E-ISSN: 1868-6001 |
| Publisher | Springer Science+Business Media (PUBLISHER • DE) |
| DOI | 10.1007/s12687-017-0336-2 |
| PMID | 28948513 |
| OpenAlex | W2759497794 |
| Language | EN |
| Citations received | 5 |
| References cited | 38 |
Chromosomal disorders, of which Down syndrome is the most common, can cause multi-domain disability. In addition, compared to the general population, there is a higher frequency of death before the age of five. In many settings, large gaps in data availability have hampered policy-making, programme priorities and resource allocation for these important conditions. We have developed methods, which overcome this lack of data and allow estimation of the burden of affected pregnancies and their outcomes in different settings worldwide. For example, the methods include a simple equation relating the percentage of mothers 35 and over to Down syndrome birth prevalence. The results obtained provide a starting point for consideration of services that can be implemented for the care and prevention of these disorders
Baseline (sea · Down syndrome · Environmental health · Estimation · Population · Pregnancy · Prevalence · Psychiatry · Public health · Acute Lymphoblastic Leukemia research · Demography · Disability Rights and Representation · Medicine · Prenatal Screening and Diagnostics · Epidemiology · Pediatrics
Longevity Science and Women’s Health and Wellbeing
An overview of concepts and approaches used in estimating the burden of congenital disorders globally
Methods to estimate access to care and the effect of interventions on the outcomes of congenital disorders
Historical overview of development in methods to estimate burden of disease due to congenital disorders
Modelled epidemiological data for selected congenital disorders in South Africa
| Unique citing works | 5 |
|---|---|
| Citations per year | 0.56 |
| Citation span | 2017 - 2023 (7) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 5 |