Completeness and selection bias of a Belgian multidisciplinary, registration-based study on the EFFectiveness and quality of Endometrial Cancer Treatment (EFFECT) ...

Abstract Background With the aim of obtaining more uniformity and quality in the treatment of corpus uteri cancer in Belgium, the EFFECT project has prospectively collected detailed information on the real-world clinical care offered to 4063 Belgian women with primary corpus uteri cancer. However, as data was collected on a voluntary basis, data may be incomplete and biased. Therefore, this study aimed to assess the completeness and potential selection bias of the EFFECT database. Methods Five databases were deterministically coupled by use of the patient’s national social security number. Par... Mehr ...

Verfasser: Vanbraband, Joren
Van Damme, Nancy
Bouche, Gauthier
Silversmit, Geert
De Geyndt, Anke
de Jonge, Eric
Jacomen, Gerd
Goffin, Frédéric
Denys, Hannelore
Amant, Frédéric
Dokumenttyp: Datenquelle
Erscheinungsdatum: 2022
Verlag/Hrsg.: figshare
Schlagwörter: Medicine / 39999 Chemical Sciences not elsewhere classified / FOS: Chemical sciences / Immunology / FOS: Clinical medicine / Cancer / Science Policy
Sprache: unknown
Permalink: https://search.fid-benelux.de/Record/base-28885396
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://dx.doi.org/10.6084/m9.figshare.c.6026399.v1

Abstract Background With the aim of obtaining more uniformity and quality in the treatment of corpus uteri cancer in Belgium, the EFFECT project has prospectively collected detailed information on the real-world clinical care offered to 4063 Belgian women with primary corpus uteri cancer. However, as data was collected on a voluntary basis, data may be incomplete and biased. Therefore, this study aimed to assess the completeness and potential selection bias of the EFFECT database. Methods Five databases were deterministically coupled by use of the patient’s national social security number. Participation bias was assessed by identifying characteristics associated with hospital participation in EFFECT, if any. Registration bias was assessed by identifying patient, tumor and treatment characteristics associated with patient registration by participating hospitals, if any. Uni- and multivariable logistic regression were applied. Results EFFECT covers 56% of all Belgian women diagnosed with primary corpus uteri ...