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Cited by 432

The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.

Science and health for all children with cancer

Open access
Lam, Catherine G., Howard, Scott C., Bouffet, Eric, Pritchard-Jones, Kathy·2019·Science

Abstract

Each year ~429,000 children and adolescents aged 0 to 19 years are expected to develop cancer. Five-year survival rates exceed 80% for the 45,000 children with cancer in high-income countries (HICs) but are less than 30% for the 384,000 children in lower-middle-income countries (LMICs). Improved survival rates in HICs have been achieved through multidisciplinary care and research, with treatment regimens using mostly generic medicines and optimized risk stratification. Children’s outcomes in LMICs can be improved through global collaborative partnerships that help local leaders adapt effective treatments to local resources and clinical needs, as well as address common problems such as delayed diagnosis and treatment abandonment. Together, these approaches may bring within reach the global survival target recently set by the World Health Organization: 60% survival for all children with cancer by 2030.

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Registry

Crossref · 10.1126/science.aaw4892

Cites

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Metadata

Authors
Lam, C. G., Howard, S. C., Bouffet, E., & Pritchard-Jones, K.
Venue
Science
Published
2019-03-15
Volume
363
Issue
6432
Pages
1182-1186
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2922442128
Cited by
432
References
62
FWCI
20.85
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Science and health for all children with cancer. https://app.cochat.ai/papers/10.1126/science.aaw4892
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Lam, C. G., Howard, S. C., Bouffet, E., & Pritchard-Jones, K. (2019). Science and health for all children with cancer. Science. https://doi.org/10.1126/science.aaw4892

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.