Industry sponsorship bias in randomized controlled trials of digital cognitive behavioral therapy for insomnia: a meta-research study based on the 2023 Brazilian guidelines on the diagnosis and treatment of insomnia in adults.

Viviane Akemi Kakazu¹, Marcia Assis², Andrea Bacelar³, Andréia Gomes Bezerra¹, Giovanna Lira Rosa Ciutti¹, Silvia Gonçalves Conway^4,5,6, José Carlos Fernandes Galduróz¹, Luciano F Drager⁷, Mariana Pery Khoury^1,8, Ingrid Porto Araújo Leite^1,4, Ygor de Matos Luciano¹, Dalva Poyares^1,9, Sergio Tufik^1,9, Gabriel Natan Pires^1,10,11

¹Departamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo, Brazil.

²Clínica do Sono de Curitiba, Hospital São Lucas, Curitiba, Brazil.

³Clínica Bacelar-Neuro e Sono, Rio de Janeiro, Brazil.

⁴Instituto de Psiquiatria (IPq), Universidade de São Paulo, São Paulo, Brazil.

⁵Departamento de Otoneurologia, Universidade de São Paulo, São Paulo, Brazil.

⁶AkasA-Formação e Conhecimento, São Paulo, Brazil.

⁷Unidades de Hipertensão, Instituto do Coração (InCor) e Disciplina de Nefrologia, Universidade de São Paulo, São Paulo, Brazil.

⁸Faculdade de Medicina da Universidade Santo Amaro (UNISA), São Paulo, Brazil.

⁹Instituto do Sono, São Paulo, Brazil.

¹⁰Hospital Israelita Albert Einstein, São Paulo, Brazil.

¹¹Faculdade Israelita de Ciências da Saúde Albert Einstein, Hospital Israelita Albert Einstein, São Paulo, Brazil.

PubMed PMC DOI PDF

Abstract

BACKGROUND: Industry sponsorship bias refers to the tendency of a study, most likely clinical trials, to produce results that favor the sponsor's interest. It is especially relevant in cases in which a study is funded by companies or organizations with a commercial interest in the product or technology being evaluated. Digital Cognitive Behavioral Therapy for Insomnia (dCBT-I) is a widely used non…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free Account Sign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.