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      The Cost of Pushing Pills: A New Estimate of Pharmaceutical Promotion Expenditures in the United States

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          Abstract

          In the late 1950s, the late Democratic Senator Estes Kefauver, Chairman of the United States Senate's Anti-Trust and Monopoly Subcommittee, put together the first extensive indictment against the business workings of the pharmaceutical industry. He laid three charges at the door of the industry: (1) Patents sustained predatory prices and excessive margins; (2) Costs and prices were extravagantly increased by large expenditures in marketing; and (3) Most of the industry's new products were no more effective than established drugs on the market [1]. Kefauver's indictment against a marketing-driven industry created a representation of the pharmaceutical industry far different than the one offered by the industry itself. As Froud and colleagues put it, the image of life-saving “researchers in white coats” was now contested by the one of greedy “reps in cars” [2]. The outcome of the struggle over the image of the industry is crucial because of its potential to influence the regulatory environment in which the industry operates. Fifty years later, the debate still continues between these two depictions of the industry. The absence of reliable data on the industry's cost structures allows partisans on both sides of the debate to cite figures favorable to their own positions. The amount of money spent by pharmaceutical companies on promotion compared to the amount spent on research and development is at the heart of the debate, especially in the United States. A reliable estimate of the former is needed to bridge the divide between the industry's vision of research-driven, innovative, and life-saving pharmaceutical companies and the critics' portrayal of an industry based on marketing-driven profiteering. IMS, a firm specializing in pharmaceutical market intelligence, is usually considered to be the authority for assessing pharmaceutical promotion expenditures. The US General Accounting Office, for example, refers to IMS numbers in concluding that “pharmaceutical companies spend more on research and development initiatives than on all drug promotional activities” [3]. Based on the data provided by IMS [4], the Pharmaceutical Research and Manufacturers of America (PhRMA), an American industrial lobby group for research-based pharmaceutical companies, also contends that pharmaceutical firms spend more on research and development (R&D) than on marketing: US$29.6 billion on R&D in 2004 in the US [5] as compared to US$27.7 billion for all promotional activities.[4] In this paper, we make the case for the need for a new estimate of promotional expenditures. We then explain how we used proprietary databases to construct a revised estimate and finally, we compare our results with those from other data sources to argue in favor of changing the priorities of the industry. The Case for a New Estimate of Pharmaceutical Promotion There are many concerns about the accuracy of the IMS data. First, IMS compiles its information through surveys of firms, creating the possibility that companies may systematically underestimate some of their promotional costs to enhance their public image. Second, IMS does not include the cost of meetings and talks sponsored by pharmaceutical companies featuring either doctors or sales representatives as speakers. The number of promotional meetings has increased dramatically in recent years, going from 120,000 in 1998 to 371,000 in 2004 [6]. In 2000, the top ten pharmaceutical companies were spending just under US$1.9 billion on 314,000 such events [7]. Third, IMS does not include the amount spent on phase IV “seeding” trials, trials designed to promote the prescription of new drugs rather than to generate scientific data. In 2004, 13.2% (US$4.9 billion) of R&D expenditures by American pharmaceutical firms was spent on phase IV trials [5]. Almost 75% of these trials are managed solely by the commercial, as opposed to the clinical, division of biopharmaceutical companies, strongly suggesting that the vast majority of these trials are done just for their promotional value [8]. Finally, IMS data seem inconsistent with estimates based on the information in the annual reports of pharmaceutical companies. For example, in an accounting study based on the annual reports of ten of the largest global pharmaceutical firms, Lauzon and Hasbani showed that between 1996 and 2005, these firms globally spent a total of US$739 billion on “marketing and administration.” In comparison, these same firms spent US$699 billion in manufacturing costs, US$288 billion in R&D, and had a net investment in property and equipment of US$43 billion, while receiving US$558 billion in profits [9]. Annual reports, however, have their own limitations. First, pharmaceutical firms are multinational and diversified; their annual reports provide no information on how much they spend on pharmaceutical marketing, as compared to the marketing of their non-pharmaceutical products, and they do not provide information about how much is spent on marketing specifically in the US. Second, annual reports merge the categories of “marketing” and “administration,” without delineating the relative importance of each. Finally, “marketing” is a category that includes more than just promotion; it also includes the costs of packaging and distribution. In terms of offering a more precise estimate of overall expenditures on pharmaceutical promotion in the US, annual reports are thus far from satisfactory. In the absence of any collection of information on promotional spending by government or any other noncommercial source, the market research company IMS has long been the only source of such information, which it gains by surveying pharmaceutical firms. Since 2003, however, the market research company CAM has been providing comprehensive information on promotion expenditures by surveying doctors instead of firms. (In July 2005, CAM was merged into the Cegedim Group, another market research company.) We chose to compare IMS data to those produced by CAM in order to provide a more accurate estimate of promotional spending in the US. Other proprietary sources of data do not break down promotional expenditures into different categories and therefore were not used in our comparison. Methods According to its Web site (http://www.imshealth.com/), IMS provides business intelligence and strategic consulting services for the pharmaceutical and health care industries. It is a global company established in more than 100 countries. IMS gathers data from 29,000 data suppliers at 225,000 supplier sites worldwide. It monitors 75% of prescription drug sales in over 100 countries, and 90% of US prescription drug sales. It tracks more than 1 million products from more than 3,000 active drug manufacturers. IMS data for 2004 were obtained from its Web site for the amount spent on: visits by sales representatives (detailing), samples, direct-to-consumer advertising, and journal advertising. The Cegedim Web site (http://www.cegedim-crm.com/index.php?id=12) describes CAM as a global company dedicated to auditing promotional activities of the pharmaceutical industry, established in 36 countries worldwide. CAM annually surveys a representative sample of 2,000 primary care physicians and 4,800 specialists in a variety of specialties in selected locations in the US. From CAM's newsletter [10], we obtained access to data from CAM for the same promotion categories as from IMS. In addition, CAM provided figures for the amount of spending on company-sponsored meetings, e-promotion, mailings, and clinical trials. We used 2004 as the comparison year because it was the latest year for which information was available from both organizations. We focused on the US because it is the only country for which information is available for all important promotional categories. The US is also, by far, the largest market for pharmaceuticals in the world, representing around 43% of global sales [11,12] and global promotion expenditures [10,13]. We asked both CAM and IMS about the procedures that they used to collect information on different aspects of promotion. Based on the answers we received, we determined the relevant figures for expenditures for samples and detailing. Each author independently decided on which values should be used, based on an understanding of the methods that the companies used to collect the information and the limitations of those methods. Differences were resolved by consensus. We queried CAM and IMS about the estimated value of unmonitored promotional expenditures. IMS did not provide an answer to this question. In order to validate its estimates, CAM relies on a validation committee that includes representatives from various pharmaceutical firms, including Merck, Pfizer, Bristol-Myers Squibb, Eli Lilly, Aventis, Sanofi-Synthelabo, AstraZeneca, and Wyeth. Under a confidentiality agreement, the firms supply CAM with internal data related to their detailing activity and promotional costs in the US. Through the validation committee, CAM can thus compare totals obtained through its own audits with the firms' internal data about their promotional budgets in order to evaluate if all promotion has been properly audited through its physician surveys. As a result of this comparison, CAM's validation committee considers that about 30% of promotional spending is not accounted for in its figures. CAM is unable to provide an exact breakdown of unmonitored promotion, but it believes that around 10% is due to incomplete disclosure and omissions by surveyed physicians and the remaining 20% comes from a combination of promotion directed at categories of physicians that are not surveyed, unmonitored journals in which pharmaceutical promotion appears, and possibly unethical forms of promotion. We adjusted total expenditures to account for this unreported 30%. Results For 2004, CAM reported total promotional spending in the US of US$33.5 billion [10], while IMS gave the figure of US$27.7 billion for the same year [4]. Both CAM and IMS cited the media intelligence company CMR as the source for the amount spent on direct-to-consumer advertising (US$4 billion), and they also gave the same figure for journal advertising (US$0.5 billion). There were two major differences between the two sets of figures: the amounts spent on detailing and the amounts spent on samples. IMS estimated the amount spent on detailing at US$7.3 billion [4] versus US$20.4 billion for CAM [10], and while IMS gave a retail value of US$15.9 billion for samples [14], CAM estimated a wholesale value of US$6.3 billion [10]. Using the IMS figure of US$15.9 billion for the retail value of samples, and adding the CAM figures for detailing and other marketing expenses after correcting for the 30% estimate of unaccounted promotion, we arrived at US$57.5 billion for the total amount spent in the US in 2004, more than twice what IMS reported (see Table 1). Table 1 Pharmaceutical Marketing Expenditures in the United States in 2004: Data from IMS, CAM, and Our New Estimate Discussion Our revised estimate for promotional spending in the US is more than twice that from IMS. This number compares to US$31.5 billion for domestic industrial pharmaceutical R&D (including public funds for industrial R&D) in 2004 as reported by the National Science Foundation [15]. However, even our revised figure is likely to be incomplete. There are other avenues for promotion that would not be captured by either IMS or CAM, such as ghostwriting [16] and illegal off-label promotion [17]. Furthermore, items with promotional potential such as “seeding trials” or educational grants might be included in other budgets and would not be seen in the confidential material provided to CAM's validation committee. IMS and CAM data were used for comparison purposes for a number of reasons: data from both were publicly available, both operate on a global scale and are well regarded by the pharmaceutical industry, both break down their information by different categories of promotion, and, most importantly, they use different methods for gathering their data, thereby allowing us to triangulate on a more accurate figure for each category. Methodological differences between the ways that IMS and CAM collect data will affect the values for promotional spending depending on the category being considered. Because of the problematic nature of some data from each firm, we believe that the most precise picture of industry spending can be obtained by selectively using both sets of figures. CAM compiles its data on the value of detailing and samples through systematic surveys of primary care providers and specialists and by estimating an average cost for each visit by a sales representative according to the type of physician. By contrast, IMS compiles its data on the value of detailing through surveys of firms, while its data on samples are obtained by monitoring products directly from manufacturers. There is a significant discrepancy between the two sets of data in the cost of detailing: US$7.3 billion for IMS and US$20.4 billion for CAM. This difference can be explained by the fact that CAM offers a more complete data set since it includes in the average cost of a call (a sales representative's visit to a physician) not only the “cost to field the rep” (salary and benefits of the representative and the transportation cost) but also the costs for the area and regional managers, the cost of the training, and the cost of detail aids such as brochures and advertising material. By contrast, in reporting the cost of detailing IMS only considers the “cost to field the rep.” Furthermore, relying on physician-generated data to estimate the amount spent on detailing is likely to give a more accurate figure than using figures generated by surveying firms. Companies may not report some types of detailing, for example, the use of sales representatives for illegal off-label promotion, whereas doctors are not likely to distinguish between on- and off-label promotion and would report all encounters with sales representatives. In the case of samples, there is also a large difference between the IMS (US$15.9 billion) and CAM (US$6.3 billion) estimates. CAM estimates the amount spent on samples by multiplying the number of samples declared by physicians with their wholesale value. The latter is determined by using the average wholesale price (AWP), which is the amount set by manufacturers and used by Medicare in the US to determine reimbursement. CAM then divides that amount in half to account for the fact that samples are frequently given out in small dosage forms. CAM admits, however, that the amount for samples is understated because, when physicians fill out their survey, any quantity of samples of the same product left during a call is considered to be only one sample unit. CAM's calculations also rely on the AWP, which has been criticized for not taking into account the various discounts and rebates that are negotiated between manufacturers and purchasers [18]. IMS provides exact figures for the retail value for samples by monitoring 90% of all pharmaceutical transactions and by tracking products directly from manufacturers. This method for calculating the value of samples is much more direct than CAM's and therefore is likely to be subject to less error. Using the wholesale value for samples, the CAM figure would be appropriate if we were arguing that the money spent on samples should go to another activity such as R&D. However, we have used the retail value of samples because this is consistent with companies' reporting of drugs they donate [19]. As these are both categories of products that are being distributed without a charge to the user, it is inconsistent for donations to be reported in terms of retail value and samples in terms of wholesale value. We believe that it is appropriate to correct for unmonitored promotion and that the figure we used is a reliable estimate. The 30% correction factor is based on a direct comparison that CAM is able to make between the data it collects through its surveys and the amount reported by companies. There are other ways of combining the data that we have presented, but with the exception of choosing the lower amounts for detailing and samples and ignoring the 30% for unmonitored promotion, all of them yield a higher figure than the one from IMS. Some examples of alternative estimates follow: using the CAM estimate for the wholesale value of samples and the 30% adjustment, the total amount would be US$47.9 billion; without the 30% adjustment CAM's estimate is US$33.5 billion. Adding the figures for the categories that IMS does not cover (meetings, e-promotion, mailing, clinical trials) boosts its estimate to US$31 billion; using the lower figures for detailing and samples plus the CAM amounts for the other categories and applying the 30% adjustment gives an amount of US$29.1 billion. Therefore, the actual amount could range from a low of US$27.7 billion to a high of US$57.5 billion. Our analysis shows, however, that the figure of US$57.5 billion is the most appropriate one when using the most relevant figures for each category of promotional spending. Excluding direct-to-consumer advertising, CAM considers that around 80% of the remaining promotion is directed towards physicians, with 20% of this figure going to pharmacists. (IMS does not provide any comparable values.) With about 700,000 practicing physicians in the US in 2004 [20], we estimate that with a total expenditure of US$57.5 billion, the industry spent around US$61,000 in promotion per physician. As a percentage of US domestic sales of US$235.4 billion [21], promotion consumes 24.4% of the sales dollar versus 13.4% for R&D. Our new estimate of total promotion costs and promotion as a percentage of sales is broadly in line with estimates of promotional or marketing spending from other sources. The annual reports of Novartis distinguish “marketing” from “administration.” Marcia Angell extrapolates from this annual report to the entire industry and calculates a figure of US$54 billion spent on pharmaceutical promotion in the US in 2001 [22]. As a proportion of sales, she estimates 33% is spent on marketing. Using similar methodology, the Office of Technology Assessment derived an estimate for marketing costs in the US by extrapolating from the cost structure of Eli Lilly. The Office of Technology Assessment considers that firms spend around 22.5% of their sales on marketing [23]. Based on United Nations Industrial Development Organization estimates, a report from the Organization for Economic Cooperation and Development estimated that, in 1989, pharmaceutical firms globally spent 24% of their sales on marketing [24], but few details of the methodology used were provided, making it impossible to verify the accuracy of the estimate. Finally, in 2006 Consumers International surveyed 20 European pharmaceutical firms to obtain more information about their exact expenditures on drug promotion. Among the 20 firms contacted, only five agreed to provide separate figures for marketing, which ranged from 31% to 50% of sales depending on the firm [25]. The results are also consistent with data on the share of revenue allocated to “marketing and administration” according to annual reports of large pharmaceutical companies, if we consider that the largest part of “marketing and administration” is devoted to promotion. Lauzon and Hasbani found that 33.1% of revenues was allocated to “marketing and administration” [9], similar to the 31% reported by the Centers for Medicare and Medicaid Services [26] and the 27% from Families USA [27]. The value of our estimate over these others is that it is not based on extrapolating from annual reports of firms that are both diversified and multinational. Our estimate is driven by quantifiable data from highly reliable sources and concerns only the promotion of pharmaceutical products in the US. The derivation of our figure is thus transparent and can form the basis for a vigorous debate. Conclusion From this new estimate, it appears that pharmaceutical companies spend almost twice as much on promotion as they do on R&D. These numbers clearly show how promotion predominates over R&D in the pharmaceutical industry, contrary to the industry's claim. While the amount spent on promotion is not in itself a confirmation of Kefauver's depiction of the pharmaceutical industry, it confirms the public image of a marketing-driven industry and provides an important argument to petition in favor of transforming the workings of the industry in the direction of more research and less promotion. Supporting Information Abstract S1 English abstract (20 KB DOC). Click here for additional data file. Alternative Language Abstract S1 Translation of the abstract into French by MAG (20 KB DOC). Click here for additional data file. Appendix S1 The Web links displayed in the footnotes 4,7,10,13,14, and 21 are now defunct. In order to make accessible all data we used for this article, this appendix provides supporting information or alternative sources for the defunct Web links. (994 KB PDF). Click here for additional data file.

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          Narrative review: the promotion of gabapentin: an analysis of internal industry documents.

          Internal documents from the pharmaceutical industry provide a unique window for understanding the structure and methods of pharmaceutical promotion. Such documents have become available through litigation concerning the promotion of gabapentin (Neurontin, Pfizer, Inc., New York, New York) for off-label uses. To describe how gabapentin was promoted, focusing on the use of medical education, research, and publication. Court documents available to the public from United States ex. rel David Franklin vs. Pfizer, Inc., and Parke-Davis, Division of Warner-Lambert Company, mostly from 1994-1998. All documents were reviewed by 1 author, with selected review by coauthors. Marketing strategies and tactics were identified by using an iterative process of review, discussion, and re-review of selected documents. The promotion of gabapentin was a comprehensive and multifaceted process. Advisory boards, consultants meetings, and accredited continuing medical education events organized by third-party vendors were used to deliver promotional messages. These tactics were augmented by the recruitment of local champions and engagement of thought leaders, who could be used to communicate favorable messages about gabapentin to their physician colleagues. Research and scholarship were also used for marketing by encouraging "key customers" to participate in research, using a large study to advance promotional themes and build market share, paying medical communication companies to develop and publish articles about gabapentin for the medical literature, and planning to suppress unfavorable study results. Most available documents were submitted by the plaintiff and may not represent a complete picture of marketing practices. Activities traditionally considered independent of promotional intent, including continuing medical education and research, were extensively used to promote gabapentin. New strategies are needed to ensure a clear separation between scientific and commercial activity.
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            Ghost Authorship in Industry-Initiated Randomised Trials

            Introduction Authorship establishes accountability, responsibility, and credit for scientific articles [1]. If authorship is misappropriated, readers may be misled, and the potential for manipulated analyses and conclusions may increase. One type of misappropriation is ghost authorship, which has been defined as the failure to name, as an author, an individual who has made substantial contributions to the research or writing of the article [1]. A confidential survey of corresponding authors of research reports, editorials, reviews, and opinion articles in six medical journals with 69% response rate showed that 13% of 809 articles had ghost authors [1]. This is likely an underestimate because of the modest response rate and because those who responded might be reluctant to admit that ghost authors had contributed to their paper. We examined directly the prevalence and nature of ghost authorship in a cohort of industry-initiated randomised trials by comparing the trial protocols with subsequent publications. We have previously documented widespread constraints on the publication rights of clinical investigators in these trials [2]. Methods For all published industry-initiated randomised trials approved in 1994–1995 by the Scientific-Ethical Committees for Copenhagen and Frederiksberg in Denmark, we compared the full trial protocols with the publications. We initially identified 274 approved trial protocols, but after extensive literature searches in MEDLINE, EMBASE, and the Cochrane Controlled Trials Register, and a survey of the trialists in 2003, we found that 172 trials (63%) were never begun, completed, or published [3]. Of the 102 published trials, 56 had industry support [3], but in some cases this was rather minor, such as delivering coded drugs to a trial that was initiated by academic researchers. Since we wished to study industry-initiated trials, we excluded 12 such trials that were initiated by the investigators. When there was more than one publication for a trial, we used the one that reported the results for the primary outcomes, and if no primary outcome was defined, the first publication that reported final results. The median publication year was 1999 (range from 1997 to 2002). Two observers independently extracted data from each protocol or publication on name and nationality of the sponsor; type and location of the trial; and the roles of the investigators and sponsor in trial design, data collection, data analysis and interpretation, and manuscript preparation, as noted anywhere in the text, including separate agreements in trial protocols as well as footnotes and acknowledgments in publications using an electronic form. For some items, the observer could add extracted quotations or write comments. To reduce redundancy, the second observer was provided with this additional text. The same observer did not review both the protocol and the report for the same trial; there was no other blinding. Disagreements were resolved by discussion. We defined ghost authorship as present if individuals who wrote the trial protocol, performed the statistical analyses, or wrote the manuscript, were not listed as authors of the publication, or as members of a study group or writing committee, or in an acknowledgment. These criteria were an operationalisation of the guidelines published by the International Committee of Medical Journal Editors [4], which state that “an author is someone who has made substantive intellectual contributions to a published study.” Furthermore, authorship credit should be based on “(1) substantial contributions to conception and design, or acquisition of data, or analysis and interpretation of data; (2) drafting the article or revising it critically for important intellectual content; and (3) final approval of the version to be published.” Authors should meet all three conditions; all persons designated as authors should qualify for authorship; and all those who qualify should be listed. These guidelines are also recommended by The Pharmaceutical Research and Manufacturers of America [5]. We believe that all who contribute in a major way under both (1) and (2) should be authors. As it is also likely that some of those who have only been acknowledged might have contributed sufficiently under either (1) or (2) to have merited authorship, we did an additional analysis where people who were acknowledged for having performed the statistical analyses or having written the protocol or the manuscript were considered ghost authors. Results A total of 44 trials were included, of which 43 (98%) were initiated by one of 26 multinational pharmaceutical firms and one by a local company. Of the total trials, 33 were multicentre and multinational, two were multicentre Danish trials, and nine were single-centre trials. We found evidence of ghost authorship for 31 of the 44 trials (75%; 95% confidence interval 60%–87%) (Table 1). If individuals who qualified for authorship, but who were acknowledged rather than listed as authors, were considered ghost authors, the prevalence of ghost authorship was 91% (95% confidence interval 78%–98%). In 31 trials, the ghost authors we identified were statisticians. A total of eight publications acknowledged the assistance of statisticians, and four acknowledged the assistance of medical writers (Table 1). It was explicitly stated in 26 protocols that the company would conduct the statistical analyses or write the clinical study report or the manuscript. We did not find any trial protocol or publication stating explicitly that the study report or the manuscript was to be written or was written by the clinical investigators, and none of the protocols stated that clinical investigators were to be involved with data analysis. In three cases, clinicians participated in end-point or clean file committees, and in three other cases, clinicians decided together with the sponsor which data should be excluded from analysis. It was also unclear whether clinicians had contributed to the protocols. None of the trial protocols described explicitly who had contributed to the design of the trial. In two protocols a group of clinicians was mentioned who were to advise the company on protocol design. Only five protocols explicitly identified the author of the protocol, but none of these individuals—all of whom were company employees—were listed as authors of the publications or were thanked in the acknowledgments, although one protocol had noted that the “author of this protocol will be included in the list of authors.” A total of 15 reports had named authors and a study group, and three reports were authored by a study group and identified a writing committee. There were three other reports that had no authors and no writing committee, and it was therefore not possible to know who of the many clinicians listed as members of the study group had been authors. The remaining 21 reports listed the authors in the byline. Only one publication had a description of contributorship, and only one a conflict of interest statement. All published reports had clinicians as authors. Company employees were listed among the authors for 28 (64%) of the 44 publications; there were no such authors for 12 publications. It was not clear whether some of the authors for the remaining four reports were company employees as names were listed without affiliations. Discussion We found a high prevalence of ghost authorship in industry-initiated randomised trials. To our knowledge, this study is the first that has systematically examined the prevalence of ghost authorship using a cohort of protocols and corresponding publications. We defined ghost authorship as present if an individual who wrote the trial protocol, or performed the statistical analyses, or wrote the manuscript did not appear among the authors, or members of a study group or writing committee, or in an acknowledgment. Our criteria are similar to those used in two previous surveys of authors [1,6], and by these criteria we found evidence of ghost authorship in 75% of the articles. In contrast, these two surveys, which relied on self-reporting, found rates of ghost authorship of 13% [1] and 11% [6], respectively. The latter survey addressed 362 Cochrane Reviews; such reviews are a special case since there is often far more collaboration between editors and authors than for other articles. Most commonly, it was a member of the Cochrane editorial team who was judged to have deserved authorship [6], but it should be noted that journal editors are generally discouraged from becoming authors of the manuscripts they edit because of the obvious conflict of interest. We are not aware of other studies of the prevalence of ghost authorship. It is a strength of our study that our sample is representative of all industry-initiated clinical trials, as it covers a wide range of diseases and specialties, and involves large multinational companies. Furthermore, the trials were generally published in well-known peer-reviewed journals (Table 2), and not in supplements to such journals. The small sample size is a limitation of our study. Another limitation is the dates for the protocols, 1994–1995. However, as the median publication year for all the studies was 1999, it is not likely that the situation would be much different today. A number of well-intentioned guidelines have appeared recently, but we found that constraints on the publication rights of clinical investigators in protocols for industry-initiated trials from 2004 were similar to those in protocols from 1994 to 1995 [2]. It can be questioned whether the main investigator from the company (two cases) or the main clinical investigator (one case) should necessarily become authors (Table 1). On the other hand, it is likely that we have not identified all ghost authors, as we had very limited information with which to identify the possible omission of other individuals who would have qualified as authors, other than statisticians. We found only three publications (7%) that had statisticians among the authors, in two cases from the company and in the third from a university, although it was explicitly stated in 26 protocols that the company conducted the statistical analyses or wrote the clinical study report or the manuscript. This might have been the case for all trials, since the companies collected the data and are obliged by law to submit a report of the results to the Danish Drug Agency. These findings are in sharp contrast to a survey, with a 75% response rate, of 704 authors of manuscripts submitted to the BMJ and the Annals of Internal Medicine (only a minority of which were randomised trials), which found that statisticians and similar methodologists who had made a significant contribution at some stage of the research process were authors in 86% of the cases [7]. We take issue with this widespread practice of not including statisticians as authors for reports of randomised trials. Multicentre trials are often complex and generate large datasets, and the trials we reviewed were no exception [3]. Furthermore, the statistical report is a fundamental part of the research that has a crucial influence on what is written in the publication. Omission of a company statistician, usually also from the acknowledgment section, deprives readers of a key insight into the role of the company, although it is sometimes evident that reports of industry-sponsored trials contain sophisticated statistical analyses that are beyond the capabilities of the authors [8]. We cannot exclude the possibility that data analyses in some of the trials, and corresponding sections in protocols, were performed by company employees who were named authors but not statisticians, but it is unlikely since the pharmaceutical corporations usually have strong departments of statistics [8]. We believe it is wrong to deny a person who has contributed substantially (e.g., by performing the statistical analyses and by writing the statistical report) the opportunity to comment on the paper and finally approve of it, thereby fulfilling all three criteria for authors defined by the International Committee of Medical Journal Editors [4]. A potentially important reason for the missing company authors could be a change of job, as the median time span between protocol approval and publication was about five years. This should not be a valid reason for the former company to deny authorship to an individual, but companies have sometimes denied even their current employees deserved authorship [9], probably because of the perceived marketing advantage of papers that appear to have been written entirely by clinicians. However, if persons who qualify for authorship decline voluntarily, their contribution should be acknowledged according to guidelines for editors [4] and pharmaceutical companies [5,10]. Written permission to be acknowledged is usually required, however, which might explain some of the missing acknowledgments. The guidelines on good publication practices for pharmaceutical companies [10] specify that whatever criteria for authorship are used, they should be applied in the same way to both external investigators and company employees. Furthermore, a company's involvement in data analysis and preparation of the manuscript should be made clear; publications should present the results accurately, objectively, and in a balanced fashion; and statisticians should participate in the preparation of publications. The International Committee of Medical Journal Editors has similar recommendations but does not give explicit advice on the role of statisticians [4]. Other guidelines have emphasized the need to acknowledge the role of medical writers (e.g., those for the World Association of Medical Editors [11] and European Medical Writers Association [12]). For the most part, the current situation does not reflect these recommendations, and there are indications that they may be difficult to implement. First, legal proceedings and testimonies suggest that it is very common for professional medical writers to compose trial reports, reviews, and other papers for the pharmaceutical industry, but that their role is not revealed [13–18]. Companies and medical writing agencies may routinely disguise the fact that papers have been ghost-written [13], including erasing the file history of electronic documents before manuscript submission [19]. We found no references to medical writers in the protocols we reviewed, and they were acknowledged in only four publications (9%), which is consistent with a recent review of research articles [20]. Second, writing agencies have a vested interest in pleasing their clients by writing favourably about the drug in question [13–15,18,21]. Such commercial pressures may explain why conclusions in randomised trials recommended the experimental drug as the drug of choice much more often if the trial was funded by for-profit organisations, even after adjustment for the effect size (odds ratio 5.3) [22]. Third, honorary (guest) authorship for clinicians is very common [1,3,6,13,17,21]. Fourth, only six pharmaceutical companies have endorsed the guidelines for good publication practice for pharmaceutical companies that were published in 2003 [23]. In addition, 18 contract research and communications companies have agreed to recommend the guidelines to their clients and to follow them in their work, but such contractors might not be aware of omissions of qualifying authors and may not be able to convince their clients to comply. We conclude that ghost authorship in industry-initiated randomised trials is very common, and we believe that this practice serves commercial purposes [13,17,21,22]. Its prevalence could be considerably reduced if existing guidelines were followed; in particular, journals should list the contributions of all authors [24]. In addition, journals could ask for the name and affiliation of the statistician who analysed the data, if this information is not clear. To improve transparency and accountability, there is also a need to specify in protocols who the statisticians and authors will be, and to make protocols and raw data from trials publicly available for independent analyses and interpretation [3,9,13,25]. This practice could increase the likelihood that publications accurately, fairly, and comprehensively reflect the collected data.
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              The Truth About the Drug Companies: How They Deceive Us and What to Do About It

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                Author and article information

                Journal
                PLoS Med
                pmed
                plme
                plosmed
                PLoS Medicine
                Public Library of Science (San Francisco, USA )
                1549-1277
                1549-1676
                January 2008
                1 January 2008
                : 5
                : 1
                : e1
                Author notes
                * To whom correspondence should be addressed. E-mail: ma.gagnon@ 123456umontreal.ca
                Article
                07-PLME-PF-0026R3
                10.1371/journal.pmed.0050001
                2174966
                18177202
                3301b017-7e1a-4c8d-ab44-b0235a985a75
                Copyright: © 2008 Gagnon and Lexchin. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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                Gagnon MA, Lexchin J (2008) The cost of pushing pills: A new estimate of pharmaceutical promotion expenditures in the united states. PLoS Med 5(1): e1. doi: 10.1371/journal.pmed.0050001

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