2015
DOI: 10.12688/f1000research.6878.2
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Peering into the “rabbit hole” of publication bias and inadequate research transparency: Adding tangibility to the abstract

Abstract: When patients seek medical care, they assume the treatment or advice they receive is based on a strong understanding of the human body and its processes. They also typically assume the care they receive is based on a strong understanding of the research literature pertaining to their well-being and any ailments for which they might seek care. However, publication bias and inadequate research transparency greatly threaten medical providers' ability to practice evidence-based medicine in its truest form, and thi… Show more

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Cited by 3 publications
(8 citation statements)
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“…This might have been at least partially avoidable if existing data had been published and disseminated to prescribers. 1 • Remarkable discrepancies exist between the trial data available in the peer-reviewed literature and the trial data available at the FDA for various antidepressants. 1 • Internal company memos show candid discussions of how to handle research evidence on gabapentin to maximize its off-label appeal regardless of what the data actually showed.…”
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confidence: 99%
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“…This might have been at least partially avoidable if existing data had been published and disseminated to prescribers. 1 • Remarkable discrepancies exist between the trial data available in the peer-reviewed literature and the trial data available at the FDA for various antidepressants. 1 • Internal company memos show candid discussions of how to handle research evidence on gabapentin to maximize its off-label appeal regardless of what the data actually showed.…”
mentioning
confidence: 99%
“…1 • Remarkable discrepancies exist between the trial data available in the peer-reviewed literature and the trial data available at the FDA for various antidepressants. 1 • Internal company memos show candid discussions of how to handle research evidence on gabapentin to maximize its off-label appeal regardless of what the data actually showed. 1 These examples add poignant tangibility to the effect of these issues, and to make matters worse, there is nothing to suggest the examples provided are extraordinary.…”
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confidence: 99%
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