A standard to report biological variation data studies - based on an expert opinion.
Author
Bartlett, William ASandberg, Sverre
Carobene, Anna
Fernandez-Calle, Pilar
Diaz-Garzon, Jorge
Coskun, Abdurrahman
Jonker, Niels
Galior, Kornelia
Gonzales-Lao, Elisabet
Moreno-Parro, Isabel
Sufrate-Vergara, Berta
Webster, Craig
Itkonen, Outi
Marques-García, Fernando
Aarsand, Aasne K
Publication date
2024-07-08
Metadata
Show full item recordAbstract
There is a need for standards for generation and reporting of Biological Variation (BV) reference data. The absence of standards affects the quality and transportability of BV data, compromising important clinical applications. To address this issue, international expert groups under the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) have developed an online resource (https://tinyurl.com/bvmindmap) in the form of an interactive mind map that serves as a guideline for researchers planning, performing and reporting BV studies. The mind map addresses study design, data analysis, and reporting criteria, providing embedded links to relevant references and resources. It also incorporates a checklist approach, identifying a Minimum Data Set (MDS) to enable the transportability of BV data and incorporates the Biological Variation Data Critical Appraisal Checklist (BIVAC) to assess study quality. The mind map is open to access and is disseminated through the EFLM BV Database website, promoting accessibility and compliance to a reporting standard, thereby providing a tool to be used to ensure data quality, consistency, and comparability of BV data. Thus, comparable to the STARD initiative for diagnostic accuracy studies, the mind map introduces a Standard for Reporting Biological Variation Data Studies (STARBIV), which can enhance the reporting quality of BV studies, foster user confidence, provide better decision support, and be used as a tool for critical appraisal. Ongoing refinement is expected to adapt to emerging methodologies, ensuring a positive trajectory toward improving the validity and applicability of BV data in clinical practice.Citation
Bartlett WA, Sandberg S, Carobene A, Fernandez-Calle P, Diaz-Garzon J, Coskun A, Jonker N, Galior K, Gonzales-Lao E, Moreno-Parro I, Sufrate-Vergara B, Webster C, Itkonen O, Marques-García F, Aarsand AK. A standard to report biological variation data studies - based on an expert opinion. Clin Chem Lab Med. 2024 Jul 8. doi: 10.1515/cclm-2024-0489. Epub ahead of print.Type
ArticleAdditional Links
http://www.degruyter.com/view/j/cclm?recentIssue=truePMID
38965828Publisher
De Gruyterae974a485f413a2113503eed53cd6c53
10.1515/cclm-2024-0489