The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Characterizing the Pattern of Anomalies in Congenital Zika Syndrome for Pediatric Clinicians
Open accessAbstract
Importance: Zika virus infection can be prenatally passed from a pregnant woman to her fetus. There is sufficient evidence to conclude that intrauterine Zika virus infection is a cause of microcephaly and serious brain anomalies, but the full spectrum of anomalies has not been delineated. To inform pediatric clinicians who may be called on to evaluate and treat affected infants and children, we review the most recent evidence to better characterize congenital Zika syndrome. Observations: We reviewed published reports of congenital anomalies occurring in fetuses or infants with presumed or laboratory-confirmed intrauterine Zika virus infection. We conducted a comprehensive search of the English literature using Medline and EMBASE for Zika from inception through September 30, 2016. Congenital anomalies were considered in the context of the presumed pathogenetic mechanism related to the neurotropic properties of the virus. We conclude that congenital Zika syndrome is a recognizable pattern of structural anomalies and functional disabilities secondary to central and, perhaps, peripheral nervous system damage. Although many of the components of this syndrome, such as cognitive, sensory, and motor disabilities, are shared by other congenital infections, there are 5 features that are rarely seen with other congenital infections or are unique to congenital Zika virus infection: (1) severe microcephaly with partially collapsed skull; (2) thin cerebral cortices with subcortical calcifications; (3) macular scarring and focal pigmentary retinal mottling; (4) congenital contractures; and (5) marked early hypertonia and symptoms of extrapyramidal involvement. Conclusions and Relevance: Although the full spectrum of adverse reproductive outcomes caused by Zika virus infection is not yet determined, a distinctive phenotype-the congenital Zika syndrome-has emerged. Recognition of this phenotype by clinicians for infants and children can help ensure appropriate etiologic evaluation and comprehensive clinical investigation to define the range of anomalies in an affected infant as well as determine essential follow-up and ongoing care.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Zika Virus Associated with Microcephaly
Mlakar, J., Korva, M., Tul, N., Popović, M., Poljšak-Prijatelj, M., Mraz, J., Kolenc, M., Resman Rus, K., Vesnaver Vipotnik, T., Fabjan Vodušek, V., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1600651 · Cited by 2,884
Brain-Region-Specific Organoids Using Mini-bioreactors for Modeling ZIKV Exposure
Qian, X., Nguyen, H. N., Song, M. M., Hadiono, C., Ogden, S. C., Hammack, C., Yao, B., Hamersky, G. R., Jacob, F., Zhong, C., et al. (2016) · Cell · doi:10.1016/j.cell.2016.04.032 · Cited by 2,127
First report of autochthonous transmission of Zika virus in Brazil
Zanluca, C., Melo, V. C. A. D., Mosimann, A. L. P., Santos, G. I. V. D., Santos, C. N. D. D., & Luz, K. (2015) · Memórias do Instituto Oswaldo Cruz · doi:10.1590/0074-02760150192 · Cited by 1,320
Zika virus impairs growth in human neurospheres and brain organoids
Garcez, P. P., Loiola, E. C., Madeiro da Costa, R., Higa, L. M., Trindade, P., Delvecchio, R., Nascimento, J. M., Brindeiro, R., Tanuri, A., & Rehen, S. K. (2016) · Science · doi:10.1126/science.aaf6116 · Cited by 1,184
Zika Virus Infection with Prolonged Maternal Viremia and Fetal Brain Abnormalities
Driggers, R. W., Ho, C.-Y., Korhonen, E. M., Kuivanen, S., Jääskeläinen, A. J., Smura, T., Rosenberg, A., Hill, D. A., DeBiasi, R. L., Vezina, G., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1601824 · Cited by 831
Expression Analysis Highlights AXL as a Candidate Zika Virus Entry Receptor in Neural Stem Cells
Nowakowski, T. J., Pollen, A. A., Di Lullo, E., Sandoval-Espinosa, C., Bershteyn, M., & Kriegstein, A. R. (2016) · Cell Stem Cell · doi:10.1016/j.stem.2016.03.012 · Cited by 529
O'Driscoll, M. C., Daly, S. B., Urquhart, J. E., Black, G. C. M., Pilz, D. T., Brockmann, K., McEntagart, M., Abdel-Salam, G., Zaki, M., Wolf, N. I., et al. (2010) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.07.012 · Cited by 145
Self-citation
Cited by
Brain organoids: advances, applications and challenges
Qian, X., Song, H., & Ming, G.-L. (2019) · Development · doi:10.1242/dev.166074 · Cited by 724
Reynolds, M. R., Jones, A. M., Petersen, E. E., Lee, E. H., Rice, M. E., Bingham, A., Ellington, S. R., Evert, N., Reagan-Steiner, S., Oduyebo, T., et al. (2017) · MMWR. Morbidity and Mortality Weekly Report · doi:10.15585/mmwr.mm6613e1 · Cited by 282
Self-citationNielsen-Saines, K., Brasil, P., Kerin, T., Vasconcelos, Z., Gabaglia, C. R., Damasceno, L., Pone, M., Abreu de Carvalho, L. M., Pone, S. M., Zin, A. A., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0496-1 · Cited by 268
Long-term alterations in brain and behavior after postnatal Zika virus infection in infant macaques
Raper, J., Kovacs-Balint, Z., Mavigner, M., Gumber, S., Burke, M. W., Habib, J., Mattingly, C., Fair, D., Earl, E., Feczko, E., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-16320-7 · Cited by 67
Jagger, B. W., Dowd, K. A., Chen, R. E., Desai, P., Foreman, B., Burgomaster, K. E., Himansu, S., Kong, W.-P., Graham, B. S., Pierson, T. C., et al. (2019) · The Journal of Infectious Diseases · doi:10.1093/infdis/jiz338 · Cited by 53
Metadata
- Authors
- Moore, C. A., Staples, J. E., Dobyns, W. B., Pessoa, A., Ventura, C. V., Fonseca, E. B. D., Ribeiro, E. M., Ventura, L. O., Neto, N. N., Arena, J. F., & Rasmussen, S. A.
- Venue
- JAMA Pediatrics
- Publisher
- American Medical Association (AMA)
- Published
- 2017-03-01
- Volume
- 171
- Issue
- 3
- Pages
- 288
- ISSN
- 1072-4710 (ISSN-L)
- 2168-6203
- OpenAlex
- W2546889486
- Cited by
- 960
- References
- 7
- FWCI
- 98.54
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Characterizing the Pattern of Anomalies in Congenital Zika Syndrome for Pediatric Clinicians. https://app.cochat.ai/papers/10.1001/jamapediatrics.2016.3982
- The paper
- Moore, C. A., Staples, J. E., Dobyns, W. B., Pessoa, A., Ventura, C. V., Fonseca, E. B. D., Ribeiro, E. M., Ventura, L. O., Neto, N. N., Arena, J. F., & Rasmussen, S. A. (2017). Characterizing the Pattern of Anomalies in Congenital Zika Syndrome for Pediatric Clinicians. JAMA Pediatrics. https://doi.org/10.1001/jamapediatrics.2016.3982
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.