2005
DOI: 10.2214/ajr.185.1.01850176
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Bias in the Medical Journals: A Commentary

Abstract: Most readers are not aware of the fact that medical journals may have an unspoken bias in the papers that they select for publication. These biases can have far-reaching consequences. The controversy over mammography screening for women ages 40-49 is a case in point. Several medical journals knowingly have refused to provide women with accurate information. Consequently, women have been led to believe that the age of 50 has some real significance with regard to screening when the fact is that it has none.

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Cited by 26 publications
(3 citation statements)
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“…Variation in age and breast density over time are important factors to consider (23,24) when screening and monitoring parenchymal changes with prophylactic and therapeutic interventions. Therefore, we prospectively and systematically investigated the effect of age, menopausal status, and mammographic density on 18 F-FDG uptake in normal glandular breast tissue.…”
mentioning
confidence: 99%
“…Variation in age and breast density over time are important factors to consider (23,24) when screening and monitoring parenchymal changes with prophylactic and therapeutic interventions. Therefore, we prospectively and systematically investigated the effect of age, menopausal status, and mammographic density on 18 F-FDG uptake in normal glandular breast tissue.…”
mentioning
confidence: 99%
“…How did this averaging influence the results? Averaging data has been used to, falsely, make the age of 50 appear as if it is a legitimate threshold for starting screening [2,3] when, in fact, none of the parameters of screening change abruptly at the age of 50 or any other age [4]. How did their use of averaging influence their results?…”
Section: To the Editormentioning
confidence: 99%
“…Unfortunately, “alternative facts” have been generated about breast cancer screening that go back decades. Confusion has resulted from the misinformation that has been published due to poor peer review in some of the most prestigious journals [ 1 , 2 , 3 , 4 ]. These erroneous analyses are then reported to the public by the media, which is unable to understand some of the complexities of the claims being made, resulting in confusing messages.…”
Section: Introductionmentioning
confidence: 99%