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Cited by 258

The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.

Congenital Cytomegalovirus Infection Burden and Epidemiologic Risk Factors in Countries With Universal Screening: A Systematic Review and Meta-analysis

Open access
Ssentongo, Paddy, Hehnly, Christine, Birungi, Patricia, Roach, Mikayla A., Spady, Jada, Fronterre, Claudio, Wang, Ming, Murray-Kolb, Laura E., Al-Shaar, Laila, Chinchilli, Vernon M., Broach, James R., Ericson, Jessica E., Schiff, Steven J.·2021·JAMA Network Open

Abstract

Importance: Congenital cytomegalovirus (cCMV) infection is the most common congenital infection and the leading acquired cause of developmental disabilities and sensorineural deafness, yet a reliable assessment of the infection burden is lacking. Objectives: To estimate the birth prevalence of cCMV in low- and middle-income countries (LMICs) and high-income countries (HICs), characterize the rate by screening methods, and delineate associated risk factors of the infection. Data Sources: MEDLINE/PubMed, Scopus, and Cochrane Database of Systematic Reviews databases were searched from January 1, 1960, to March 1, 2021, and a total of 1322 studies were identified. Study Selection: Studies that provided data on the prevalence of cCMV derived from universal screening of infants younger than 3 weeks were included. Targeted screening studies were excluded. Data Extraction and Synthesis: Preferred Reporting Items for Systematic Reviews and Meta-analyses guideline was followed. Extraction was performed independently by 3 reviewers. Quality was assessed using the Newcastle-Ottawa Scale for cohort studies. Random-effects meta-analysis was undertaken. Metaregression was conducted to evaluate the association of sociodemographic characteristics, maternal seroprevalence, population-level HIV prevalence, and screening methods with the prevalence of cCMV. Main Outcomes and Measures: Birth prevalence of cCMV ascertained through universal screening of infants younger than 3 weeks for CMV from urine, saliva, or blood samples. Results: Seventy-seven studies comprising 515 646 infants met the inclusion criteria from countries representative of each World Bank income level. The estimated pooled overall prevalence of cCMV was 0.67% (95% CI, 0.54%-0.83%). The pooled birth prevalence of cCMV was 3-fold greater in LMICs (1.42%; 95% CI, 0.97%-2.08%; n = 23 studies) than in HICs (0.48%; 95% CI, 0.40%-0.59%, n = 54 studies). Screening methods with blood samples demonstrated lower rates of cCMV than urine or saliva samples (odds ratio [OR], 0.38; 95% CI, 0.23-0.66). Higher maternal CMV seroprevalence (OR, 1.19; 95% CI, 1.11-1.28), higher population-level HIV prevalence (OR, 1.22; 95% CI, 1.05-1.40), lower socioeconomic status (OR, 3.03; 95% CI, 2.05-4.47), and younger mean maternal age (OR, 0.85; 95% CI, 0.78-0.92, older age was associated with lower rates) were associated with higher rates of cCMV. Conclusions and Relevance: In this meta-analysis, LMICs appeared to incur the most significant infection burden. Lower rates of cCMV were reported by studies using only blood or serum as a screening method.

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Metadata

Authors
Ssentongo, P., Hehnly, C., Birungi, P., Roach, M. A., Spady, J., Fronterre, C., Wang, M., Murray-Kolb, L. E., Al-Shaar, L., Chinchilli, V. M., Broach, J. R., Ericson, J. E., & Schiff, S. J.
Venue
JAMA Network Open
Published
2021-08-23
Volume
4
Issue
8
Pages
e2120736
ISSN
2574-3805 (ISSN-L)
OpenAlex
W3194512587
Cited by
258
References
69
FWCI
18.84
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Congenital Cytomegalovirus Infection Burden and Epidemiologic Risk Factors in Countries With Universal Screening: A Systematic Review and Meta-analysis. https://app.cochat.ai/papers/10.1001/jamanetworkopen.2021.20736
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Ssentongo, P., Hehnly, C., Birungi, P., Roach, M. A., Spady, J., Fronterre, C., Wang, M., Murray-Kolb, L. E., Al-Shaar, L., Chinchilli, V. M., Broach, J. R., Ericson, J. E., & Schiff, S. J. (2021). Congenital Cytomegalovirus Infection Burden and Epidemiologic Risk Factors in Countries With Universal Screening: A Systematic Review and Meta-analysis. JAMA Network Open. https://doi.org/10.1001/jamanetworkopen.2021.20736

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.