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Cited by 31

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Evolution and Future of Growth Plate Therapeutics

Allen, David B., Merchant, Nadia, Miller, Bradley S., Backeljauw, Philippe F.·2021·Hormone Research in Paediatrics

Abstract

Background: Longitudinal bone growth is regulated by multiple endocrine signals (e.g., growth hormone, insulin-like growth factor I, estrogen, and androgen) and local factors (e.g., fibroblast growth factors and their receptors and the C-natriuretic peptide/natriuretic peptide receptor-B pathway). Summary: Abnormalities in both endocrine and local regulation of growth plate physiology cause many disorders of human skeletal growth. Knowledge of these pathways creates therapeutic potential for sustaining or even augmenting linear growth. Key Message: During the past 4 decades, advances in understanding growth plate physiology have been accompanied by development and implementation of growth-promoting treatments that have progressed in both efficacy and specificity of action. This paper reviews the history and continuing evolution of growth plate therapeutics.

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Research works printed but not linked: 31

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Metadata

Authors
Allen, D. B., Merchant, N., Miller, B. S., & Backeljauw, P. F.
Venue
Hormone Research in Paediatrics
Publisher
S. Karger AG
Published
2021
Volume
94
Issue
9-10
Pages
319-332
ISSN
  • 1663-2818
  • 1663-2826
Cited by
31
References
2
Language
en
Licence

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CoChat. (2026). Citation check: Evolution and Future of Growth Plate Therapeutics. https://app.cochat.ai/papers/10.1159/000520812
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Allen, D. B., Merchant, N., Miller, B. S., & Backeljauw, P. F. (2021). Evolution and Future of Growth Plate Therapeutics. Hormone Research in Paediatrics. https://doi.org/10.1159/000520812

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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.