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Cited by 297

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Neurobehavioral Deficits in Premature Graduates of Intensive Care—Potential Medical and Neonatal Environmental Risk Factors

Perlman, Jeffrey M.·2001·Pediatrics

Abstract

There is growing evidence that a large number of very low birth weight infants are exhibiting neurobehavioral problems in the absence of cerebral palsy at follow-up that has extended into school age and adolescence. Many clinical factors (ie, chronic lung disease, recurrent apnea and bradycardia, transient hypothyroxemia of prematurity, hyperbilirubinemia, nutritional deficiencies, glucocorticoid exposure), as well as stressful environmental conditions, including infant-provider interaction, constant noise, and bright light, may act in combination to impact on the developing brain, even in the absence of overt hemorrhage and/or ischemia. Any potential intervention strategy designed to prevent cognitive and behavioral problems has to account for the numerous biological and clinical conditions and/or interventions, as well as postdischarge social and environmental influences.

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Crossref · 10.1542/peds.108.6.1339

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Metadata

Authors
Perlman, J. M.
Venue
Pediatrics
Published
2001-12-01
Volume
108
Issue
6
Pages
1339-1348
ISSN
  • 0031-4005 (ISSN-L)
  • 1098-4275
OpenAlex
W2068052009
Cited by
297
References
10
FWCI
12.29
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Neurobehavioral Deficits in Premature Graduates of Intensive Care—Potential Medical and Neonatal Environmental Risk Factors. https://app.cochat.ai/papers/10.1542/peds.108.6.1339
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Perlman, J. M. (2001). Neurobehavioral Deficits in Premature Graduates of Intensive Care—Potential Medical and Neonatal Environmental Risk Factors. Pediatrics. https://doi.org/10.1542/peds.108.6.1339

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.