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Heterogeneity and Utility of Pharmaceutical Company Sharing of Individual-Participant Data Packages.
Hopkins, Ashley M; Modi, Natansh D; Abuhelwa, Ahmad Y; Kichenadasse, Ganessan; Kuderer, Nicole M; Lyman, Gary H; Wiese, Michael D; McKinnon, Ross A; Rockhold, Frank W; Mann, Aaron; Rowland, Andrew; Sorich, Michael J.
Afiliação
  • Hopkins AM; College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.
  • Modi ND; College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.
  • Abuhelwa AY; College of Pharmacy, University of Sharjah, Sharjah, United Arab Emirates.
  • Kichenadasse G; College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.
  • Kuderer NM; Flinders Centre for Innovation in Cancer, Department of Medical Oncology, Flinders Medical Centre, Adelaide, South Australia, Australia.
  • Lyman GH; Advanced Cancer Research Group, Seattle, Washington.
  • Wiese MD; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
  • McKinnon RA; Clinical & Health Sciences, University of South Australia, Adelaide, South Australia, Australia.
  • Rockhold FW; College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.
  • Mann A; Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina.
  • Rowland A; Clinical Research Data Sharing Alliance, Piscataway, New Jersey.
  • Sorich MJ; College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.
JAMA Oncol ; 9(12): 1621-1626, 2023 Dec 01.
Article em En | MEDLINE | ID: mdl-37796495
ABSTRACT
Importance The pharmaceutical industry has made substantial investments in developing processes for sharing individual-participant data (IPD) from clinical trials. However, the utility and completeness of shared IPD and supporting documents must be evaluated to ensure the potential for scientific advancements from the data sharing ecosystem can be realized.

Objective:

To assess the utility and completeness of IPD and supporting documents provided from industry-sponsored clinical trials. Design, Setting, and

Participants:

From February 9, 2022, to February 9, 2023, 91 of 203 clinical trials supporting US Food and Drug Administration registrations of anticancer medicines for the treatment of solid tumors from the past decade were confirmed as eligible for IPD request. This quality improvement study performed a retrospective audit of the utility and completeness of the IPD and supporting documents provided from the 91 clinical trials for a planned meta-analysis. Exposures Request for IPD from 91 clinical oncology trials indicated as eligible for the request. Main Outcomes and

Measures:

The utility and completeness of the IPD and supporting documents provided.

Results:

The IPD packages were obtained from 70 of 91 requested clinical trials (77%). The median time to data provision was 123 (range, 117-352) days. Redactions were observed in 18 of the acquired IPD packages (26%) for outcome data, 11 (16%) for assessment variables, and 19 (27%) for adjustment data. Additionally, 20 IPD packages (29%) lacked a clinical study report, 4 (6%) had incomplete or missing data dictionaries, and 20 (29%) were missing anonymization or redaction description files. Access to IPD from 21 eligible trials (23%) was not granted. Conclusions and Relevance In this quality improvement study, there was substantial variability within the provided IPD packages regarding the completeness of key data variables and supporting documents. To improve the data sharing ecosystem, key areas for enhancement include (1) ensuring that clinical trials are eligible for IPD sharing, (2) making eligible IPD transparently accessible, and (3) ensuring that IPD packages meet a standard of utility and completeness.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ecossistema / Disseminação de Informação Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ecossistema / Disseminação de Informação Idioma: En Ano de publicação: 2023 Tipo de documento: Article