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Pharmaceutical Industry
Aka: Pharmaceutical Industry, Drug Manufacturer, Big Pharma
- Efficacy: Manipulation of Pharma Sponsored Study Results
- Background
- Pharmaceutical companies have decades of work, billions of dollars of potential sales hinging on study results
- Newly introduced drugs are typically backed by studies that overestimate benefit and underestimate risk
- Lexchin (2003) BMJ 326(7400): 1167 +PMID:12775614 [PubMed]
- Schott (2010) Dtsch Arztebl Int 107(16):279-85 +PMID:20467553 [PubMed]
- Schott (2010) Dtsch Arztebl Int 107(17):295-301 +PMID:20490338 [PubMed]
- Methods of data manipulation
- Negative studies are not published
- Pharmaceutical supported studies with negative results are eliminated
- Journals are pressured not to publish Independent studies with negative results
- Tsai (2003) Int J Health Serv 33(4): 751–768 +PMID:14758858 [PubMed]
- Adverse outcomes are suppressed in published reports
- http://www.breggin.com/antidepressant-drugs-resources/Breggin2006a-Paxil-GSK-Sepcial-Report-Part-I.pdf
- Control group manipulation
- Limit the Placebo Effect (patients can infer that they are not taking the active drug)
- Statistical manipulation
- Pharma employs talented biostatisticians
- Selective study duration
- Limit trial duration to time where toxicity is not yet evident, and effects have not yet dissipated
- Resources
- Goldacre (2014) Bad Pharma
- Paid link to Amazon.com (ISBN 0865478066)
- References
- Lin and Paradis in Herbert (2018) EM:Rap 18(9): 7-8