Shortcomings in the evaluation of biomarkers in ovarian cancer: a systematic review

被引:8
作者
Olsen, Maria [1 ]
Ghannad, Mona [2 ,3 ]
Lok, Christianne [4 ]
Bossuyt, Patrick M. [2 ]
机构
[1] Univ Amsterdam, Amsterdam Publ Hlth Res Inst, Dept Clin Epidemiol,Med Ctr, Dept Clin Epidemiol Biostat & Bioinformat, Meibergdreef 9, NL-1105 AZ Amsterdam, Netherlands
[2] Univ Amsterdam, Amsterdam Publ Hlth Res Inst, Dept Clin Epidemiol Biostat & Bioinformat, Med Ctr, Amsterdam, Netherlands
[3] Univ Paris 05, Ctr Rech Epidemiol & Stat, Sorbonne Paris Cite, Ctr Epidemiol Clin,Hop Hotel Dieu, Paris, France
[4] Locat Antoni van Leeuwenhoek Netherlands Canc Ins, Ctr Gynaecol Oncol Amsterdam, Dept Gynaecol Oncol, Amsterdam, Netherlands
基金
欧盟地平线“2020”;
关键词
biomarkers; biomarker development; clinical evaluations; ovarian cancer; study designs; DIAGNOSTIC-ACCURACY; MOLECULAR MARKERS; BIAS; LONG; VALIDATION; SPECIMENS; FAILURES; DESIGNS; WASTE; TESTS;
D O I
10.1515/cclm-2019-0038
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
Background: Shortcomings in study design have been hinted at as one of the possible causes of failures in the translation of discovered biomarkers into the care of ovarian cancer patients, but systematic assessments of biomarker studies are scarce. We aimed to document study design features of recently reported evaluations of biomarkers in ovarian cancer. Methods: We performed a systematic search in PubMed (MEDLINE) for reports of studies evaluating the clinical performance of putative biomarkers in ovarian cancer. We extracted data on study designs and characteristics. Results: Our search resulted in 1026 studies; 329 (32%) were found eligible after screening, of which we evaluated the first 200. Of these, 93 (47%) were single center studies. Few studies reported eligibility criteria (17%), sampling methods (10%) or a sample size justification or power calculation (3%). Studies often used disjoint groups of patients, sometimes with extreme phenotypic contrasts; 46 studies included healthy controls (23%), but only five (3%) had exclusively included advanced stage cases. Conclusions: Our findings confirm the presence of suboptimal features in clinical evaluations of ovarian cancer biomarkers. This may lead to premature claims about the clinical value of these markers or, alternatively, the risk of discarding potential biomarkers that are urgently needed.
引用
收藏
页码:3 / 10
页数:8
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