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Funding Sources and Breast Cancer Research Frame

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Journal PLoS One
Date 2020 Aug 25
PMID 32834005
Citations 2
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Abstract

This study aims to analyze the formation of the frame of breast cancer research. To test our hypothesis that the research frame depends on the funding sources, we collected the abstracts of 48,448 breast cancer research papers from PubMed and applied structural topic modeling, word network analysis, and LASSO logistic regression to the data. In particular, we analyzed the relationship between funding sources and the molecularization of breast cancer knowledge. The results show that government-funded research is likely to have molecular objects or population as the unit of interest, whereas the research not funded by the government is likely to have individual patients as the unit of interest in relation to specific treatments. This phenomenon is attributed to the different interests of government institutions and the private sector. This study improves our understanding of molecularization and medical knowledge production.

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References
1.
Rollin L, Griffon N, Darmoni S, Gehanno J . Influence of author's affiliation and funding sources on the results of cohort studies on occupational cancer. Am J Ind Med. 2015; 59(3):221-6. DOI: 10.1002/ajim.22549. View

2.
Blumen H, Fitch K, Polkus V . Comparison of Treatment Costs for Breast Cancer, by Tumor Stage and Type of Service. Am Health Drug Benefits. 2016; 9(1):23-32. PMC: 4822976. View

3.
Andsager J, Powers A . Framing women's health with a sense-making approach: magazine coverage of breast cancer and implants. Health Commun. 2001; 13(2):163-85. DOI: 10.1207/S15327027HC1302_3. View

4.
Clarke J, Everest M . Cancer in the mass print media: fear, uncertainty and the medical model. Soc Sci Med. 2006; 62(10):2591-600. DOI: 10.1016/j.socscimed.2005.11.021. View

5.
Krstajic D, Buturovic L, Leahy D, Thomas S . Cross-validation pitfalls when selecting and assessing regression and classification models. J Cheminform. 2014; 6(1):10. PMC: 3994246. DOI: 10.1186/1758-2946-6-10. View