The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Global prevalence of cerebral palsy: A systematic analysis
Open accessAbstract
Aim: To determine trends and current estimates in regional and global prevalence of cerebral palsy (CP). Method: A systematic analysis of data from participating CP registers/surveillance systems and population‐based prevalence studies (from birth year 1995) was performed. Quality and risk of bias were assessed for both data sources. Analyses were conducted for pre‐/perinatal, postnatal, neonatal, and overall CP. For each region, trends were statistically classified as increasing, decreasing, heterogeneous, or no change, and most recent prevalence estimates with 95% confidence intervals (CI) were calculated. Meta‐analyses were conducted to determine current birth prevalence estimates (from birth year 2010). Results: Forty‐one regions from 27 countries across five continents were represented. Pre‐/perinatal birth prevalence declined significantly across Europe and Australia (11 out of 14 regions), with no change in postneonatal CP. From the limited but increasing data available from regions in low‐ and middle‐income countries (LMICs), birth prevalence for pre‐/perinatal CP was as high as 3.4 per 1000 (95% CI 3.0–3.9) live births. Following meta‐analyses, birth prevalence for pre‐/perinatal CP in regions from high‐income countries (HICs) was 1.5 per 1000 (95% CI 1.4–1.6) live births, and 1.6 per 1000 (95% CI 1.5–1.7) live births when postneonatal CP was included. Interpretation: The birth prevalence estimate of CP in HICs declined to 1.6 per 1000 live births. Data available from LMICs indicated markedly higher birth prevalence. What this paper adds: • Birth prevalence of pre‐/perinatal cerebral palsy (CP) in high‐income countries (HICs) is decreasing. • Current overall CP birth prevalence for HICs is 1.6 per 1000 live births. • Trends in low‐ and middle‐income countries (LMICs) cannot currently be measured. • Current birth prevalence in LMICs is markedly higher than in HICs. • Active surveillance of CP helps to assess the impact of medical advancements and social/economic development. • Population‐based data on prevalence and trends of CP are critical to inform policy.
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Wickham, H. (2016) · Use R! · doi:10.1007/978-3-319-24277-4 · Cited by 33,115
Nonparametric Tests Against Trend
Mann, H. B. (1945) · Econometrica · doi:10.2307/1907187 · Cited by 17,144
Generalized Additive Models: An Introduction with R
Wood, S. N. (2017) · doi:10.1201/9781315370279 · Cited by 13,852
How to perform a meta-analysis with R: a practical tutorial
Balduzzi, S., Rücker, G., & Schwarzer, G. (2019) · Evidence Based Mental Health · doi:10.1136/ebmental-2019-300117 · Cited by 5,827
A report: the definition and classification of cerebral palsy April 2006
(2007) · Developmental Medicine & Child Neurology · doi:10.1111/j.1469-8749.2007.tb12610.x · Cited by 4,793
Moran, P. A. P., & Kendall, M. G. (1973) · International Statistical Review / Revue Internationale de Statistique · doi:10.2307/1402637 · Cited by 4,054
Trends in Care Practices, Morbidity, and Mortality of Extremely Preterm Neonates, 1993-2012
Stoll, B. J., Hansen, N. I., Bell, E. F., Walsh, M. C., Carlo, W. A., Shankaran, S., Laptook, A. R., Sánchez, P. J., Van Meurs, K. P., Wyckoff, M., et al. (2015) · JAMA · doi:10.1001/jama.2015.10244 · Cited by 2,791
Transformations Related to the Angular and the Square Root
Freeman, M. F., & Tukey, J. W. (1950) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177729756 · Cited by 2,628
An update on the prevalence of cerebral palsy: a systematic review and meta‐analysis
Oskoui, M., Coutinho, F., Dykeman, J., Jetté, N., & Pringsheim, T. (2013) · Developmental Medicine & Child Neurology · doi:10.1111/dmcn.12080 · Cited by 1,512
Self-citationDecreasing prevalence in cerebral palsy: a multi‐site European population‐based study, 1980 to 2003
Sellier, E., Platt, M. J., Andersen, G. L., Krägeloh‐Mann, I., De La Cruz, J., Cans, C., & Surveillance of Cerebral Palsy Network (2016) · Developmental Medicine & Child Neurology · doi:10.1111/dmcn.12865 · Cited by 483
Cited by
Chen, Q., Chen, M., Bao, W., Strathearn, L., Zang, X., Meng, L., & Xu, G. (2024) · BMJ Paediatrics Open · doi:10.1136/bmjpo-2023-002343 · Cited by 10
Prest, K., Wilson, E., Vassiliadou, I., Ali, S., Lakhanpaul, M., Morris, C., Tann, C., Harniess, P., Lewis‐Jackson, S., Kuper, H., et al. (2024) · Child: Care, Health and Development · doi:10.1111/cch.13303 · Cited by 7
Kumar, V., Pradhan, A., Mohanty, P., & Gupta, S. (2026) · Journal of Pediatric Neurosciences · doi:10.4103/jpn.jpn_121_25
Metadata
- Authors
- McIntyre, S., Goldsmith, S., Webb, A., Ehlinger, V., Hollung, S. J., McConnell, K., Arnaud, C., Smithers‐Sheedy, H., Oskoui, M., Khandaker, G., Himmelmann, K., & the Global CP Prevalence Group*
- Venue
- Developmental Medicine & Child Neurology
- Publisher
- Wiley
- Published
- 2022-08-11
- Volume
- 64
- Issue
- 12
- Pages
- 1494-1506
- ISSN
- 0012-1622 (ISSN-L)
- 1469-8749
- OpenAlex
- W4291011402
- Cited by
- 820
- References
- 43
- FWCI
- 82.77
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- McIntyre, S., Goldsmith, S., Webb, A., Ehlinger, V., Hollung, S. J., McConnell, K., Arnaud, C., Smithers‐Sheedy, H., Oskoui, M., Khandaker, G., Himmelmann, K., & the Global CP Prevalence Group*. (2022). Global prevalence of cerebral palsy: A systematic analysis. Developmental Medicine & Child Neurology. https://doi.org/10.1111/dmcn.15346
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