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For patients treated with anthracycline-based neoadjuvant chemotherapy, a higher pCR has been shown to be predictive of improved PFS and OS [ 16, 26].
Our study did not assess the play of other factors that may be predictive of improved response to non-monetary incentives (e.g. age, gender, qualifications etc) and this could be the focus of further studies.
A favourable biochemical response was also shown to be predictive of improved overall survival in patients with medullary (calcitonin) and dedifferentiated iodide-negative thyroid cancer (thyroglobulin) undergoing Y-DOTATOC treatment [ 52, 54].
An exploratory study with the VEGFR TKI vandetanib revealed that low levels of circulating VEGF may be predictive of improved PFS in patients with advanced NSCLC receiving vandetanib vs gefitinib or vandetanib plus docetaxel vs docetaxel alone (Hanrahan et al, 2009); however, this finding was not confirmed in Phase III trials (Herbst et al, 2010; de Boer et al, 2011; Lee et al, 2012).
Of the seven variables included, the presence of a PR and good ECOG status were found to be predictive of improved survival.
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While social visual contact did not have an impact, physiological compliance was predictive of improved performance, with coherence robust over all three physiological measures.
We have also demonstrated that CatS is an independent prognostic marker of poor outcome and is predictive of improved response to adjuvant FU/FA treatment in this disease.
Weight loss was predictive of improved cardiometabolic outcomes in both the first 6 months and from 6 months to 2 years, but again, was not as predictive as total weight loss from baseline to 2 years.
In patients with metastatic renal cell cancer, high IL-6 serum levels were predictive of improved progression-free survival from the multi-kinase inhibitor Pazopanib compared with placebo [ 35].
In contrast, others have shown that elevated pretreatment serum levels of Her2/neu ECD may be predictive for improved response to trastuzumab-based therapy (Kostler et al, 2004).
Logistic regression was used to determine which symptoms and signs were predictive of people who improved, and clinimetric statistics were used to determine what combination of those symptoms and signs provided the greatest predictive capacity.
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