| Literature DB >> 24800999 |
L Susan Wieland1, Lainie Rutkow2, S Swaroop Vedula3, Christopher N Kaufmann2, Lori M Rosman4, Claire Twose4, Nirosha Mahendraratnam2, Kay Dickersin2.
Abstract
OBJECTIVE: To describe the sources of internal company documents used in public health and healthcare research.Entities:
Mesh:
Year: 2014 PMID: 24800999 PMCID: PMC4011692 DOI: 10.1371/journal.pone.0094709
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Flow chart of articles through the screening process.
Source of documents for articles using internal documents from different types of companies (n = 361 articles).
| Source of internal documents | Tobacco | Pharmaceuticals | Manufacturing | Mining | Transportation | Alcohol | Other companies | Total |
| N (%) | N (%) | N (%) | N (%) | N (%) | N (%) | N (%) | N (%) | |
| Litigation | 324 (>99) | 18 (90) | 6 (67) | 1 (50) | 1 (50) | 1 (100) | 1 (20) | 351 (97) |
| U.S. Freedom of Information Act (FOIA) | 2 (1) | 0 (0) | 0 (0) | 0 (0) | 1 (50) | 0 (0) | 0 (0) | 2 (1) |
| Company | 0 (0) | 2 (10) | 2 (22) | 0 (0) | 0 (0) | 0 (0) | 4 (80) | 8 (2) |
| Whistleblower | 1 (<1) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 1 (<1) |
| Unknown | 0 (0) | 0 (0) | 1 (11) | 1 (13) | 0 (0) | 0 (0) | 0 (0) | 1 (<1) |
| Other sources | 1 (<1) | 0 (0) | 0 (0) | 0 (0) | 1 (50) | 0 (0) | 0 (0) | 2 (<1) |
| Total | 325 (100) | 20 (100) | 9 (100) | 2 (100) | 2 (100) | 1 (100) | 5 (100) |
The articles using documents from other companies were one article each using documents from a hospital, a physician practice management organization, a soft drinks distributor, and a nuclear plant, and one article using internal documents from six different companies including an agribusiness and a utility company.
The totals in this column equal the number of articles relying upon a particular source of documents, minus three instances of duplicate classification by type of company within category of document source. These instances were: one article with litigation source was classified as both tobacco and alcohol; one article with FOIA source was classified as both tobacco and transportation; and one article with unknown source was classified as both manufacturing and mining. The overall column total is not shown, as it is greater than the total number of included articles (n = 361) because several articles relied upon multiple sources for documents.
The litigation-related source of documents for one pharmaceutical article was a leak from legal proceedings.
The other sources of documents were: private archives of a company consultant (1 tobacco article) and records from a bankruptcy (1 transportation article).
The totals in this row equal the number of articles for each type of company, minus instances of duplicate sources of documents. Two tobacco articles relying upon FOIA for documents and one tobacco article relying upon other sources of company documents (the private archives of a company consultant) also relied upon documents from litigation, and one transportation article relied upon both litigation and FOIA. The totals for the tobacco and transportation article columns are therefore not equal to the sum of the classifications within the columns. The overall row total is not shown, as it is greater than the total number of included articles (n = 361) because three articles were classified with two types of companies.
Research questions for articles using internal documents from different types of companies (n = 361 articles).
| Types of questions | Tobacco | Pharmaceuticals | Manufacturing | Mining | Transportation | Alcohol | Other | Total questions |
| N (%) | N (%) | N (%) | N (%) | N (%) | N (%) | N (%) | N (%) | |
| Company's strategic behavior (eg, marketing) | 303 (93) | 15 (75) | 6 (67) | 2 (100) | 1 (50) | 1 (100) | 1 (20) | 326 (90) |
| Company's other behavior (eg, safety) | 7 (2) | 1 (5) | 3 (33) | 0 (0) | 0 (0) | 0 (0) | 1 (20) | 12 (3) |
| Health effects of exposure or intervention | 19 (5.9) | 6 (30) | 5 (56) | 0 (0) | 1 (50) | 0 (0) | 1 (20) | 33 (9) |
| Therapeutic intervention | 1 (<1) | 7 (35) | 0 (0) | 0 (0) | 1 (50) | 0 (0) | 0 (0) | 9 (2) |
| Prevalence of intervention, exposure or outcome | 2 (1) | 0 (0) | 2 (22) | 0 (0) | 0 (0) | 0 (0) | 2 (40) | 6 (2) |
| Research methods | 31 (10) | 9 (45) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 40 (11) |
| Total | 325 (100) | 20 (100) | 9 (100) | 2 (100) | 2 (100) | 1 (100) | 5 (100) |
The totals in this column equal the number of articles asking a particular type of question, minus instances of duplicate classification by type of company within category of type of question. These instances were: Strategic behavior questions were asked by articles classified as both tobacco and transportation, both mining and manufacturing, and both tobacco and alcohol; a therapeutic intervention question was asked by the article classified as both tobacco and transportation. The overall column total is not shown, as it is greater than the total number of included articles (n = 361) because several articles posed multiple types of questions.
The totals in this row equal the total number of articles for each type of company, minus instances where articles asked multiple types of questions, of which there are too many to list. The totals for the columns are therefore not equal to the sum of the classifications within the columns. The overall row total is not shown, as it is greater than the total number of included articles (N = 361) because three articles were classified with two types of companies.
Types of internal company data/information in articles using internal documents from different types of companies (n = 361 articles).
| Types of internal company data | Tobacco | Pharmaceuticals | Manufacturing | Mining | Transportation | Alcohol | Other | Total |
| N (%) | N (%) | N (%) | N (%) | N (%) | N (%) | N (%) | N (%) | |
| Quantitative data from company study | 61 (19) | 9 (45) | 3 (33) | 1 (50) | 0 (0) | 0 (0) | 0 (0) | 73 (20) |
| Quantitative data from non-company study | 38 (12) | 0 (0) | 1 (11) | 0 (0) | 0 (0) | 0 (0) | 0 (20) | 39 (11) |
| Data from company day-to-day records | 3 (1) | 2 (10) | 3 (33) | 0 (0) | 1 (50) | 0 (0) | 5 (100) | 14 (4) |
| Other types of company data/information or type is unclear | 321 (99) | 14 (70) | 6 (67) | 2 (100) | 1 (50) | 1 (100) | 4 (80) | 344 (95) |
| Total | 325 (100) | 20 (100) | 9 (100) | 2 (100) | 2 (100) | 1 (100) | 5 (100) |
The totals in this column equal the number of articles using a particular type of data, minus instances of duplicate classification by type of company within category of type of data. These instances were: Other types of data were used by articles classified as both tobacco and transportation, both mining and manufacturing, and both tobacco and alcohol, and quantitative data from internal company studies were used by the article classified as both mining and manufacturing. The overall column total is not shown, as it is greater than the total number of included articles (n = 361) because several articles used multiple types of internal documents.
The totals in this row equal the total number of articles for each type of company, minus instances where articles used multiple types of data, of which there are too many to list. The totals for the columns are therefore not equal to the sum of the classifications within the columns. The overall row total is not shown, as it is greater than the total number of included articles (N = 361) because three articles were classified with two types of companies.
Sources and location of pharmaceutical internal company documents.
| Company and product name | Source(s) of documents according to article/correspondence with author | Location(s) of documents as of May 10, 2013 | Article(s) |
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| Bayer: cerivastatin (Baycol). | Documents from litigation. Documents part of the public record through Hollis N. Halton v. Bayer, Nueces County Clerk, Tx. | Documents part of court records. No online link to documents. | Psaty et al. 2004 |
| Eli Lilly: olanzapine (Zyprexa). | Documents from litigation, available at | Documents part of court records. Online link to documents not active as of 5/10/13. | Applbaum 2009 |
| Eli Lilly: olanzapine (Zyprexa). | Documents leaked from litigation. | Author says the documents are available at | Spielmans 2009 |
| Eli Lilly: olanzapine (Zyprexa). | Documents from litigation (two lawsuits). Unpublished analyses by sponsor of premarket safety data. | Documents currently available through | Woods et al. 2011 |
| Glaxo Smith Kline (GSK): paroxetine (Paxil) | Documents from litigation. The expert report was based on 3-day examination of files at company headquarters by Dr. Breggin. | Actual documents used are not publicly accessible, only psychiatric expert report. Report available at the court (Moffett v. GSK, United States District Court for the Southern District of Mississippi) and at | Breggin 2006 |
| Glaxo Smith Kline (GSK): paroxetine (Paxil) | Documents from litigation. Authors had access to confidential documents as a consequence of their roles in litigation. Some documents in the case have been released into the public domain. | Documents part of court records for | Jureidini et al. 2008 |
| Merck: rofecoxib (Vioxx) | Documents from litigation: | Documents part of court records. Online link to documents not active as of 5/10/13. | Psaty and Kronmal 2008 |
| Merck: rofecoxib (Vioxx) | Documents available through litigation. Authors had access to internal Merck documents created in 1998–2006, and obtained through discovery in legal proceedings, | All legal documents and the dataset used in the first three articles are available in the Drug Industry Document Archive (DIDA) at | Hill et al. 2008 |
| Pfizer & Parke-Davis, Division of Warner-Lambert: gabapentin (Neurontin). | Documents from litigation. Authors obtained access to the data because they served as unpaid expert witnesses for the plaintiff in the whistleblower litigation | Documents available in DIDA at | Steinman et al. 2006 |
| Pfizer & Parke-Davis, Division of Warner-Lambert: gabapentin (Neurontin). | Documents from litigation. Authors obtained access to the data because two of them served as consultants for the plaintiff in | All of these documents are available in DIDA at | Vedula et al. 2009 |
| Wyeth: conjugated equine estrogens and medroxyprogesterone acetate (Prempro) | Documents from litigation. Expert report by Dr. Fugh-Berman based on documents from Wyeth interactions with DesignWrite (medical education and communications company). Documents used in expert MDL Docket no 4:03CV1507 WRW, and used again in | Prempro Products Liability Litigation now available at | Fugh-Berman 2010 |
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| Merck: MDMA (“ecstasy”). | Merck Archives. Internal company documents recording the history of drug development. | Internal documents not publicly available. | Bernschneider-Reif et al. 2006 |
| Merck, Sharpe and Dohme: chlorothiazide (Diuril). | Merck Archives. Internal company documents recording the history of development and promotion of chlorothiazide. | Internal documents not publicly available. | Greene 2005 |
Documents are grouped in rows where the articles are linked by a common set of authors working with the same set of documents.
Vedula and colleagues (Vedula et al 2009) included in their analysis internal company documents from a 2004 litigation that were also used by other authors in two articles (Steinman et al 2007 and Landefeld and Steinman 2009), and in addition analyzed documents from a 2008 litigation that were not used in other articles.
Types of funding reported by research articles using internal documents from different types of companies (n = 361articles).
| Type of funding | Tobacco | Pharmaceuticals | Manufacturing | Mining | Transportation | Alcohol | Other | Total |
| N (%) | N (%) | N (%) | N (%) | N (%) | N (%) | N (%) | N (%) | |
| No information about how research using documents was funded | 54 (17) | 9 (43) | 4 (44) | 2 (100) | 1 (50) | 0 (0) | 2 (40) | 71 (20) |
| Statement that research using documents was not funded | 2 (1) | 8 (67) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 10 (3) |
| Funding from government, US | 242 (74) | 3 (15) | 1 (11) | 0 (0) | 0 (0) | 0 (0) | 2 (40) | 248 (69) |
| Funding from government, not US | 36 (11) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 36 (10) |
| Funding from non-profit organization | 80 (25) | 3 (17) | 2 (22) | 0 (0) | 1 (50) | 1 (100.0) | 1 (20) | 86 (24) |
| Funding from company being studied | 0 (0) | 0 (0) | 1 (11) | 0 (0) | 0 (0) | 0 (0) | 1 (20) | 2 (<1) |
| Funding from other sources | 6 (2) | 0 (0) | 1 (11) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 7 (2) |
| Total | 325 (100) | 20 (100) | 9 (100) | 2 (100) | 2 (100) | 1 (100) | 5 (100) |
The totals in this column equal the number of articles reporting a particular type of funding, minus instances of duplicate classification by type of company within funding category. These instances were: There was no information on funding for the article classified as both manufacturing and mining, and non-profit, non-governmental funding was used by the articles classified as both tobacco and transportation and both tobacco and alcohol. The overall column total is greater than the total number of included articles (N = 361) because some articles reported multiple types of funding.
Other funding sources include Blue Cross Blue Shield (4 tobacco articles), the World Health Organization (2 tobacco articles), and funding from a law firm (1 manufacturing article).
The totals in this row equal the total number of articles reporting funding for each type of company, minus instances where articles reported multiple types of funding, of which there are too many to list. The totals for the columns are therefore not equal to the sum of the classifications within the columns. The overall row total is greater than the total number of included articles (N = 361) because three articles were classified with two types of companies.