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Statistical review of animal trials-A guideline.
Piper, Sophie K; Zocholl, Dario; Toelch, Ulf; Roehle, Robert; Stroux, Andrea; Hoessler, Johanna; Zinke, Anne; Konietschke, Frank.
Affiliation
  • Piper SK; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Biometry and Clinical Epidemiology, Berlin, Germany.
  • Zocholl D; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Medical Informatics, Berlin, Germany.
  • Toelch U; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.
  • Roehle R; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Biometry and Clinical Epidemiology, Berlin, Germany.
  • Stroux A; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.
  • Hoessler J; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, QUEST Center for Responsible Research, Berlin, Germany.
  • Zinke A; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Biometry and Clinical Epidemiology, Berlin, Germany.
  • Konietschke F; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.
Biom J ; 65(2): e2200061, 2023 02.
Article in En | MEDLINE | ID: mdl-36071025
ABSTRACT
Any experiment involving living organisms requires justification of the need and moral defensibleness of the study. Statistical planning, design, and sample size calculation of the experiment are no less important review criteria than general medical and ethical points to consider. Errors made in the statistical planning and data evaluation phase can have severe consequences on both results and conclusions. They might proliferate and thus impact future trials-an unintended outcome of fundamental research with profound ethical consequences. Unified statistical standards are currently missing for animal review boards in Germany. In order to accompany, we developed a biometric form to be filled and handed in with the proposal at the concerned local authority on animal welfare. It addresses relevant points to consider for biostatistical planning of animal experiments and can help both the applicants and the reviewers in overseeing the entire experiment(s) planned. Furthermore, the form might also aid in meeting the current standards set by the 3+3R's principle of animal experimentation Replacement, Reduction, Refinement as well as Robustness, Registration, and Reporting. The form has already been in use by the concerned local authority of animal welfare in Berlin, Germany. In addition, we provide reference to our user guide giving more detailed explanation and examples for each section of the biometric form. Unifying the set of biostatistical aspects will help both the applicants and the reviewers to equal standards and increase quality of preclinical research projects, also for translational, multicenter, or international studies.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Animal Welfare Type of study: Clinical_trials / Guideline Aspects: Ethics Limits: Animals Country/Region as subject: Europa Language: En Journal: Biom J Year: 2023 Document type: Article Affiliation country: Germany

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Animal Welfare Type of study: Clinical_trials / Guideline Aspects: Ethics Limits: Animals Country/Region as subject: Europa Language: En Journal: Biom J Year: 2023 Document type: Article Affiliation country: Germany