Under-representation of women in high-impact published clinical cancer research
dc.contributor.author | Jagsi, Reshma | en_US |
dc.contributor.author | Motomura, Amy R. | en_US |
dc.contributor.author | Amarnath, Sudha | en_US |
dc.contributor.author | Jankovic, Aleksandra | en_US |
dc.contributor.author | Sheets, Nathan | en_US |
dc.contributor.author | Ubel, Peter A. | en_US |
dc.date.accessioned | 2009-08-12T15:37:13Z | |
dc.date.available | 2010-09-01T19:24:06Z | en_US |
dc.date.issued | 2009-07-15 | en_US |
dc.identifier.citation | Jagsi, Reshma; Motomura, Amy R.; Amarnath, Sudha; Jankovic, Aleksandra; Sheets, Nathan; Ubel, Peter A. (2009). "Under-representation of women in high-impact published clinical cancer research Presented in preliminary form at the American Society of Clinical Oncology 44th Annual Meeting, Chicago, Illinois, May 30–June 3, 2008. ." Cancer 115(14): 3293-3301. <http://hdl.handle.net/2027.42/63568> | en_US |
dc.identifier.issn | 0008-543X | en_US |
dc.identifier.issn | 1097-0142 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/63568 | |
dc.description.abstract | BACKGROUND. Adequate representation of women in research has been deemed essential. METHODS. Cancer research published in 8 journals in 2006 was reviewed. The percentage of women among study participants was compared with the proportion expected from population-based estimates of sex-specific cancer incidence, using binomial tests. Differences were assessed in sex distribution of participants by funding source, author sex, and focus of research with the Student t test, and in a linear regression model controlling for cancer type. RESULTS. A total of 1534 cancer research articles were identified, of which 661 (representing 1,096,098 participants) were prospective clinical studies and were analyzed further. For all 7 non-sex–specific cancer types assessed, the majority of studies analyzed included a lower proportion of women than the proportion of women among patients having cancer of that type in the general population. Among studies focusing on cancer treatment, women constituted a significantly lower overall proportion of the participants in the analyzed studies than expected for 6 of 7 non-sex–specific cancer types ( P < .001). Among non-sex–specific studies, the mean percentage of participants who were women was 38.8%. Non-sex–specific studies reporting government funding had a higher percentage of female participants (mean 41.3% vs 36.9%; P = .005). In a regression model controlling for cancer type, lack of government funding ( P = .03) and focus on cancer treatment ( P = .03) were found to be independent significant predictors of a lower percentage of female participants. CONCLUSIONS. Women were under-represented as participants in recently published, high-impact studies of non-sex–specific cancers. Studies that received government funding included a higher proportion of female subjects. Cancer 2009. © 2009 American Cancer Society. | en_US |
dc.format.extent | 193815 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.publisher | Wiley Subscription Services, Inc., A Wiley Company | en_US |
dc.subject.other | Life and Medical Sciences | en_US |
dc.subject.other | Cancer Research, Oncology and Pathology | en_US |
dc.title | Under-representation of women in high-impact published clinical cancer research | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Oncology and Hematology | en_US |
dc.subject.hlbsecondlevel | Public Health | en_US |
dc.subject.hlbtoplevel | Health Sciences | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan ; Fax: (734) 763-7370 ; Department of Radiation Oncology, University of Michigan, UHB2C490, SPC 5010, 1500 East Medical Center Drive, Ann Arbor, MI 48109-5010 | en_US |
dc.contributor.affiliationum | Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan | en_US |
dc.contributor.affiliationum | University of Michigan Medical School, Ann Arbor, Michigan | en_US |
dc.contributor.affiliationum | Center for Behavioral and Decision Sciences in Medicine, Department of Internal Medicine, Division of General Medicine, University of Michigan, Ann Arbor, Michigan | en_US |
dc.contributor.affiliationum | University of Michigan Medical School, Ann Arbor, Michigan | en_US |
dc.contributor.affiliationum | Center for Behavioral and Decision Sciences in Medicine, Department of Internal Medicine, Division of General Medicine, University of Michigan, Ann Arbor, Michigan | en_US |
dc.identifier.pmid | 19507175 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/63568/1/24366_ftp.pdf | |
dc.identifier.doi | 10.1002/cncr.24366 | en_US |
dc.identifier.source | Cancer | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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