ArticleFuture science OA2018
Optimization of biomarkers-based classification scores as progression-free survival predictors: an intuitive graphical representation.
Article in Future science OA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Pharmacodynamic biomarkers in metronomic chemotherapy: multiplex cytokine measurements in gastrointestinal cancer patients.Clinical and experimental medicine · 2021Trial
- Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Aim: To construct classification scores based on a combination of cancer patient plasma biomarker levels, for predicting progression-free survival. Methods: The approach is based on the optimization of the biomarker cut-off values, which maximize the statistical differences between the groups with values lower or larger than the cut-offs, respectively. An intuitive visualization of the quality of the classification score is also proposed. Results: Even if there are only weak correlations between individual biomarker levels and progression-free survival, scores based on suitably chosen combination of three biomarkers have classification power comparable with the Response Evaluation Criteria in Solid Tumors criteria classification of response to treatments in solid tumors. Conclusion: Our approach has the potential to improve the selection of the patients who will benefit from a given anticancer treatment.
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Registered trials
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