MIME-Version: 1.0 Content-Type: multipart/related; boundary="----=_NextPart_01C90D14.E0322720" This document is a Single File Web Page, also known as a Web Archive file. If you are seeing this message, your browser or editor doesn't support Web Archive files. Please download a browser that supports Web Archive, such as Microsoft Internet Explorer. ------=_NextPart_01C90D14.E0322720 Content-Location: file:///C:/628D408E/ImpactOfIndustryFundingOnClinicalResearchLiterature_Newman.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" How Do We Know What We Know? The Impact of Industry Funding on Clini= cal Research Literature

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------=_NextPart_01C90D14.E0322720 Content-Location: file:///C:/628D408E/ImpactOfIndustryFundingOnClinicalResearchLiterature_Newman_files/pres.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01C90D14.E0322720 Content-Location: file:///C:/628D408E/ImpactOfIndustryFundingOnClinicalResearchLiterature_Newman_files/slide0003.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" How Do We Know What We Know? The Impact of Industry Funding on Clini= cal Research Literature
UCSF
How Do We Know What We Know?
 
The Impact of Industry Funding= on the Clinical Research Literature
Thomas B. Newman, MD, MPH
Professor of Epidemiology and Biostatistics and Pediatrics, UCSF
August 19, 2008
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The Impact of Industry Funding on Clini= cal Research Literature
UCSF=
 Acknowledgements
•Funding:  State Attorney General Consumer and Prescriber Education Grant Program, funded by the multi-= state settlement of consumer fraud claims regarding the marketing of <= /span>the prescription drug Neurontin®. •Help: Lisa Bero and Michael Steinman
------=_NextPart_01C90D14.E0322720 Content-Location: file:///C:/628D408E/ImpactOfIndustryFundingOnClinicalResearchLiterature_Newman_files/slide0004.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" How Do We Know What We Know? The Impact of Industry Funding on Clini= cal Research Literature
UCSF=
Outlin= e =
•Sel= ection of research topics
•Des= ign of studies
–Sub= jects
–Pre= dictor variables
–Out= come variable
•Ana= lysis and presentation of results
•Dis= cussion and conclusions
•Pub= lication
•
The le= arning objectives of this talk are as follows
------=_NextPart_01C90D14.E0322720 Content-Location: file:///C:/628D408E/ImpactOfIndustryFundingOnClinicalResearchLiterature_Newman_files/slide0005.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" How Do We Know What We Know? The Impact of Industry Funding on Clini= cal Research Literature
UCSF=
Selecti= on of Research Topics
R= 26;Availability of funding is a major driver of the research agenda
= 226;Limited funding for health problems that occur in places with limited resources or that do not have solutions that include marketable products
–= Tropical diseases
–=  Environmental health
–=  Public health
------=_NextPart_01C90D14.E0322720 Content-Location: file:///C:/628D408E/ImpactOfIndustryFundingOnClinicalResearchLiterature_Newman_files/slide0065.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" How Do We Know What We Know? The Impact of Industry Funding on Clini= cal Research Literature
UCSF=
Drug Development for Neglected Diseases*
•Compared new chemical entities (NCE) for different indications, with number of <= /span>disability-adjusted life years (DALY) lost = 1975-1999 •Of 1393 NCE, only 16 for tropical diseases and TB •1.2-1.4 NCE/Million DALY lost for main diseases of wealthier countries, vs 0.1 for tropical diseases
*Trouiller P et al. Lancet 2002;359:2188-94
------=_NextPart_01C90D14.E0322720 Content-Location: file:///C:/628D408E/ImpactOfIndustryFundingOnClinicalResearchLiterature_Newman_files/slide0006.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" How Do We Know What We Know? The Impact of Industry Funding on Clini= cal Research Literature
UCSF=
Design= of Studies
•<= /span>We think of peer-reviewed Randomized Double-blind Trials as the Gold Standard
•<= /span>But they can be designed to give desired = results:
–Subjects
–Predictor variables = ;
–Outcome variables
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file:///C:/628D408E/ImpactOfIndustryFundingOnClinicalResearchLiterature_Newman_files/slide0007.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" How Do We Know What We Know? The Impact of Industry Funding on Clini= cal Research Literature
UCSF=
Subjects
= 226;Select patients most likely to benefit, least likely to have adve= rse effects
&#= 8226;Many groups under-represented
&= #8211;Elderly
&= #8211;Comorbid conditions
&= #8211;On other medications
&= #8211;Women
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UCSF=
Exclusion Criteria Used In Antide= pressant Efficacy Trials
•<= /span>Abstracted exclusion criteria for 39 antidepressant efficacy trials in adults (5 journals 1994-2000)
•<= /span>Applied criteria from each trial to 503 outpatients with nonpsychotic, unipolar major depression
•<= /span>Median % excluded 70% (range 0 to 95%) =
•<= /span>Main reasons:
–<= /span>Insufficient severity of depression
–<= /span>Comorbid psychiatric illness or suicidality=
Zimmerman M et al. J Nerv Ment Dis 2004;192:87-94 Zimmerman M et al. Am J P= sych 2005;162:1370-72
From 2= 004 paper: Trials included:  all treatm= ent efficacy trials published in Arch Gen Psych, Am J Psych, J Clin Psychiatr= y, J Clin Psychopharm,  and Psych= opharm Bulletin 1994 -2000.  Per pe= rsonal communication with M Zimmerman, almost all of these patients were treated with antidepressants.  The patients were those with nonpsychotic unipolar MDD from 1500 who were evaluated with Structured Clinical Interviews as part of the MIDAS projec= t.
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UCSF=
Predictor variable: Drugs an= d Doses Being Compared
= 226;Selection of comparison drug and dose
&= #8211;Lower dose
&= #8211;More toxic
&= #8211;Ineffective
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UCSF=
RCTs of NSAIDS, 1987-1990
= 226;Meta-analysis of 56 trials associated with a manufacturer
&= #8211;16 manufacturer’s drug better
&= #8211;40 both drugs about the same
&= #8211;  0 competitor’s drug better&= #13;
&#= 8226;How did they get this result?
Rochon et al. Arch Intern Med 1994; 15= 4: 157-63.
Roc= hon PA, Gurwitz JH, Simms RW, Fortin PR, Felson DT, Minaker KL, Chalmers TC.<= /font>
A s= tudy of manufacturer-supported trials of nonsteroidal anti-inflammatory drugs in = the treatment of arthritis.
BAC= KGROUND: To study the relation between reported drug performance in published trials = and support of the trials by the manufacturer of the drug under evaluation, we studied a sample of trials of nonsteroidal anti-inflammatory drugs (NSAID= s) used in the treatment of arthritis. METHODS: All randomized control trial= s of NSAIDs published between September 1987 and May 1990 identified by MEDLINE were reviewed. If an article met the following criteria (n =3D 61), it was selected: trials involving adult patients with osteoarthritis or rheumato= id arthritis (n =3D 180), use of nonsalicylate NSAIDs marketed in the United States (n =3D 101), randomized control trial (n =3D 81), duration of the = trial 4 or more days (n =3D 78), and use of an efficacy outcome measure (n =3D 61= ). Reviewers, "blinded" to manufacturer status, evaluated the narrative interpretation of results and extracted numeric data on efficacy and toxicity. Manufacturer-associated trials were defined as those that acknowledged an association with a pharmaceutical manufacturer. Because of the scarcity of non-manufacturer-associated trials (n =3D 9), we report o= nly on the manufacturer-associated articles. RESULTS: Fifty-two publications (85= .2%) representing 56 trials were associated with a manufacturer. The manufacturer-associated drug was reported as comparable with (71.4%) or superior to (28.6%) the comparison drug in all 56 trials. These narrative claims of superiority were usually justified with trial data. Of the tria= ls identifying one drug as less toxic (n =3D 22), the manufacturer-associated drug's safety was reported as superior to the comparison drug in 86.4% of cases. Justification for the narrative interpretation of the trial findin= gs regarding less toxicity was provided in only 12 (54.5%) of 22 trials. CONCLUSION: The manufacturer-associated NSAID is almost always reported as being equal or superior in efficacy and toxicity to the comparison drug. These claims of superiority, especially in regard to side effect profiles, are often not supported by trial data. These data raise concerns about selective publication or biased interpretation of results in manufacturer-associated trials.
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UCSF=
Predictor Variable:  Dose of Comparison Drug
Rochon, Arch Intern Med 1994; 154: 157= -63.
In try= ing to explain this, they looked at the relative dose of the manufacturer’s drug a= nd the comparator drug.  They u= sed a 5-point scale: 1 below the recommended dose, 2 low end of dosage range, 3= mid dosage range, 4 high end of dosage range and 5 above usual recommended do= se, based on standard references (most commonly the PDR.)   In about half of trials, t= he comparator drug was given at lower relative dose than the manufacturer’s  drug (= for example, ibuprofen 400 q 8 h vs naproxen 500 mg q 12).  In about half of trials, the two= drugs were given at comparable doses.  In less than 5% of trials, the comparator drug was given at a high= er relative dose.

Thus, = it is not surprising that the manufacturer’s drug was found to be superior in many of the trials.

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The Impact of Industry Funding on Clini= cal Research Literature
UCSF=
Predictor Variable:
Choice of Compari= son Drug
•Selective Cox-2 inhibitors like Rofecoxib <= /span>(Vioxx®) may increase the risk of cardiovascular disease compared with naproxen or placebo •New COX-2 inhibitor Etoricoxib (Arcoxia®) studied in long term trial study (N=3D34,700) = •Merck chose diclofenac rather than <= span style=3D'position:absolute;top:72.25%;left:8.98%;width:84.45%;height:8.25%= '>naproxen as comparator
<= span style=3D'font-size:88%'>•Why?
Psaty BM, Weiss NS. N Engl J Med 2007; 356:328-30
Multin= ational Etoricoxib and Diclofenac Arthritis Long-Term
Psaty = BM, Weiss NS.  NSAID trials and choice= of comparators – Questions of public health importance. N Engl J Med 2= 007; 356:328-30
FDA ha= d approved the MEDAL study, but when it sought FDA approval for Arcoxia (which had effic= acy and side effects similar to diclofenac), FDA allowed David Graham to argue against it and the committee overwhelmingly rejected it.  (Avorn NEJM 8/14/07 Keeping Scie= nce on Top in Drug Evaluation

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UCSF=
Choice of Comparison Drug:
 More toxic
Kearney PM et al., BMJ 2006;332;1302-1308
1.51 (0.96, 2.37)
Ibuprofen
0.92 (0.67, 1.26
Naproxen
1.63 (1.12, 2.37)
Diclofenac
1.42 (1.13, 1.78)
Selective COX-2 Inhibitors
RR of CV Events c/w Placebo (95% CI)
Drug
Diclof= enac has cardiovascular toxicity similar to selective COX-2 inhibitors
------=_NextPart_01C90D14.E0322720 Content-Location: file:///C:/628D408E/ImpactOfIndustryFundingOnClinicalResearchLiterature_Newman_files/slide0013_image005.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhfgH+AHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAAB8 AfwAgAAAAP///wL/jI+py+0Po5y02ouz3rz7D4biSJbmiaZqBrTuC8fyTNf2jef6zvd84AsKh8Si 8Tg7IJfMpvNpA0Kn1Kr1prxqt1ymtAsOi7GGsfls/qLXbGq2DY8j1fK6ffe+6/dJvv/fkgc4KEdH eLgmiLg4Zsj4yKUIOWnlSHn5JIm5uWTJ+UmkCTrq40l6miOKulpjyvoKowo7C+BK+yp7y2qri5rb e8oLPPo7DCpszFmcvInMfLn8TOksDRld/UiNvXi9jajtTdgdPghO/jd+7meuvpferscOb/c+Xydv H1efD4fPz7bvXyKB1soQZOTvYCODCg8lbAgmIMSIE8UxrLgOIyCJ/xqvPOxYhSNINyPdXSxZCOUd kSqbfGzp5STMgTP7yayZBmcbljpD9Ux082eXl0KD8CzagyjSH0GXVnIa5ihUHEqnkqlqtVXWLVK3 9vFaqSnYTmNDii1rBCvaQGfXDlG7tqtbuGjlxnWbqS3eUntd6u2LB3Cnv4KpFj5it+7htIQX06Bb NnFkx6EaU44BeaxkzZeFbAabGbTlzi5Ce/18mnSp0apNb0X9WnVS1qRdZ4V9WzZT21Z5T8XdWzce 2p19QwX+W7gO5MeVpyJ+2bhT5tOdU4VOWfpS6tutX/UeBXwr7I61I+V+Xvxj8ovNF0X/Xn0S9ofd C4V/X74M/D/t9/+nX5h/PfE3oH6YASiYgDoRuKCBsSAImII4MTihgy9QWJOEGULYl4YzYfihhaVx uJeHMIF4oohsmdgSiyqh2KKKtZCIl4sowfiijDjeqCONc/VoY0lBjrSjkEDqeKSKQ4JUJJFJirhk RytMSWWVVl6JZZZWIqmkj3d1GaVGYWLUJJNPWjhmRWVKeaaDaU60pphtGvgmRHGSOad+dTZ0p5p5 yrenQn3C+ad6gR40qJ2FincoQYnyuSh4jQr0qKCRejfpP5Uieql1mfKzqaOdOvdpPqFSOqpypdpz qqapCrfqPK2C+qpuscIzq6m1ynZrO7myumtrwdY2bHHFRndsdsn/lrdse83W92yA0SY4bYTVdnht idnWuO2PYHIJpZeKfatkt1+G26s66Z6jZbvuvgtvvPKWAC6a4k5GLpTmjotuvW7ey1m+aO6Lb7/l CuwmwQEbrC/CdCoMGsSpOaynxLFRDKjFuWFsqMbBccyox8mBLKnIzZGMqcnVoeypyt2xTCqQ885M c80230ylv3QCHDHMqrqcns+wAh2f0LYSnZ/RvCLdH9MFKi0s1MRKbSzVyFqtLNbMau0s19B6LS3Y 1IptLdnYmq0t2tyq7S3DA7N9rr3rkjN3ODjfjXfeeu/NgM568jyx2wnDza/cfgMK+MWCP0x4wYYf vHjFjS/8eMORNGc8ec+Xd5x54JW/vXnInSv++eChlzz6xqennPrHq7fc+sivxxz7ybP/DCbfuu/O e+8qFAAAOw== ------=_NextPart_01C90D14.E0322720 Content-Location: file:///C:/628D408E/ImpactOfIndustryFundingOnClinicalResearchLiterature_Newman_files/slide0091.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" How Do We Know What We Know? The Impact of Industry Funding on Clini= cal Research Literature
UCSF=
Choice of Comparison Drug:
 Ineffective
•<= /span>Meta-analysis of fluconazole vs. amphotericin in neutropenic cancer <= span style=3D'position:absolute;top:34.75%;left:12.17%;width:79.4%;height:8.25%= '>patients*
•Almost all studies (92% of included = patients) sponsored by Pfizer
•<= /span>Amphotericin given orally to comparison groups (79% of patients)
•<= /span>Amphotericin groups sometimes combined with oral nystatin groups
•<= /span>Both are poorly absorbed orally
*Johanse= n HK, Gotzsche PC.  JAMA 1999;282:1= 752-59
Proble= ms in the Design and Reporting of Trials of Antifungal Agents Encountered During Meta-analysis.  Similar issu= es later reported with voriconazole, also by Pfizer.

------=_NextPart_01C90D14.E0322720 Content-Location: file:///C:/628D408E/ImpactOfIndustryFundingOnClinicalResearchLiterature_Newman_files/slide0014.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" How Do We Know What We Know? The Impact of Industry Funding on Clini= cal Research Literature
UCSF=
Outcome variable
•Surrogate outcomes vs patient relevant
•Composite outcomes
•Multiple outcomes, time periods, subgroups, etc
------=_NextPart_01C90D14.E0322720 Content-Location: file:///C:/628D408E/ImpactOfIndustryFundingOnClinicalResearchLiterature_Newman_files/slide0090.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" How Do We Know What We Know? The Impact of Industry Funding on Clini= cal Research Literature
UCSF=
Surrogate Outcomes:  Cardiac Arrhythmia Suppression Trial (CAST)<= /div>
•<= /span>Asymptomatic PVCs after MI a risk factor for sudden death
•<= /span>Encainide and flecainide decrease PVCs (Surrogate Outcome)
•<= /span>Total mortality after 10 months 8.3% vs. 3.5% (P <0.0001)
•<= /span>Tens of thousands of deaths
Echt DS et al. N Engl J Med. 1991;324:781-8
Moore TJ.  Deadly Medicine. NY: Sim= on and Schuster, 1995
1: N E= ngl J Med. 1991 Mar 21;324(12):781-8. Comment in: N Engl J Med. 1991 Aug 22;325(8):584-5. N Engl J Med. 1992 Dec 17;327(25):1818. Mortality and morbidity in patients receiving encainide, flecainide, or placebo. The Cardiac Arrhythmia Suppression Trial. Echt DS, Liebson PR, Mitchell LB, Peters RW, Obias-Manno D, Barker AH, Arensberg D, Baker A, Friedman L, Gr= eene HL, et al. CAST Coordinating Center, Seattle, WA 98105. BACKGROUND AND METHODS. In the Cardiac Arrhythmia Suppression Trial, designed to test the hypothesis that suppression of ventricular ectopy after a myocardial infarction reduces the incidence of sudden death, patients in whom ventricular ectopy could be suppressed with encainide, flecainide, or moricizine were randomly assigned to receive either active drug or placeb= o. The use of encainide and flecainide was discontinued because of excess mortality. We examined the mortality and morbidity after randomization to encainide or flecainide or their respective placebo. RESULTS. Of 1498 pat= ients, 857 were assigned to receive encainide or its placebo (432 to active drug= and 425 to placebo) and 641 were assigned to receive flecainide or its placebo (323 to active drug and 318 to placebo). After a mean follow-up of 10 mon= ths, 89 patients had died: 59 of arrhythmia (43 receiving drug vs. 16 receiving placebo; P =3D 0.0004), 22 of nonarrhythmic cardiac causes (17 receiving = drug vs. 5 receiving placebo; P =3D 0.01), and 8 of noncardiac causes (3 recei= ving drug vs. 5 receiving placebo). Almost all cardiac deaths not due to arrhythmia were attributed to acute myocardial infarction with shock (11 patients receiving drug and 3 receiving placebo) or to chronic congestive heart failure (4 receiving drug and 2 receiving placebo). There were no differences between the patients receiving active drug and those receiving placebo in the incidence of nonlethal disqualifying ventricular tachycard= ia, proarrhythmia, syncope, need for a permanent pacemaker, congestive heart failure, recurrent myocardial infarction, angina, or need for coronary-ar= tery bypass grafting or angioplasty. CONCLUSIONS. There was an excess of deaths due to arrhythmia and deaths due to shock after acute recurrent myocardial infarction in patients treated with encainide or flecainide. Nonlethal events, however, were equally distributed between the active-drug and pla= cebo groups. The mechanisms underlying the excess mortality during treatment w= ith encainide or flecainide remain unknown.

Total = mortality 63/755 vs 26/717 P=3D0.000086 after 10 months
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