Prospective validation of a prognostic score to improve patient selection for phase I trials

2008 ◽  
Vol 26 (15_suppl) ◽  
pp. 2508-2508 ◽  
Author(s):  
H. Arkenau ◽  
J. Barriuso ◽  
D. Olmos ◽  
C. Barlow ◽  
J. S. De Bono ◽  
...  
2009 ◽  
Vol 27 (16) ◽  
pp. 2692-2696 ◽  
Author(s):  
Hendrik-Tobias Arkenau ◽  
Jorge Barriuso ◽  
David Olmos ◽  
Joo Ern Ang ◽  
Johann de Bono ◽  
...  

Purpose With the aim of improving patient selection for phase I trials, we previously performed a retrospective analysis of 212 phase I oncology patients where we were able to develop a prognostic score predicting overall survival (OS). This prospective study was performed to test the validity of the prognostic score. Patients and Methods On the basis of our retrospective multivariate analysis, three factors were associated with poor survival (albumin < 35 g/L, lactate dehydrogenase [LDH] > upper limit of normal [ULN], and > two sites of metastases). We integrated these into a prognostic score ranging from 0 to 3 and analyzed this score in a prospectively selected cohort of 78 patients enrolled onto phase I trials. Results All patients had progressive disease before study entry. The median age was 56 years (range, 18 to 79 years). After a median follow-up time of 27.3 weeks, patients with a prognostic score of 0 to 1 (n = 43) had superior OS (33.0 weeks; 95% CI, 24 to 42 weeks) compared with patients with a score of 2 to 3 (n = 35; 15.7 weeks; 95% CI, 11 to 21 weeks). Our multivariate analysis confirmed that our prognostic score was an independent marker for OS, with a hazard ratio of 1.4 (95% CI, 1.02 to 1.9; P = .036). Conclusion This is the first prospective analysis confirming that a prognostic score based on objective markers, including albumin less than 35 g/L, LDH more than ULN, and more than two sites of metastasis, is a helpful tool in the process of patient selection for phase I trial entry.


2021 ◽  
Vol 155 ◽  
pp. 168-178
Author(s):  
Ignacio Matos ◽  
Guillermo Villacampa ◽  
Cinta Hierro ◽  
Juan Martin-Liberal ◽  
Roger Berché ◽  
...  

2019 ◽  
Vol 30 ◽  
pp. v42
Author(s):  
I. Matos Garcia ◽  
C. Hierro ◽  
J. Martin-Liberal ◽  
C. VIAPLANA ◽  
A. Azaro ◽  
...  

2016 ◽  
Vol 2 (5) ◽  
pp. 605-614 ◽  
Author(s):  
Tom F. Brouwer ◽  
Kirsten M. Kooiman ◽  
Louise R. Olde Nordkamp ◽  
Vokko P. van Halm ◽  
Reinoud E. Knops

Scientifica ◽  
2012 ◽  
Vol 2012 ◽  
pp. 1-13
Author(s):  
Philip P. Goodney

Vascular surgeons frequently perform procedures aimed at limiting death, stroke, or amputation on patients who present with diseases such as aortic aneurysms, carotid atherosclerosis, and peripheral arterial occlusive disease. However, now more than ever surgeons must balance the potential benefits associated with these interventions with the risks of physiologic insult for these elderly patients, who often have significant comorbidity burdens and the potential for costly complications. In this paper, we highlight how regional and national datasets can help surgeons identify which patients are most likely to benefit from vascular operations and which patients are most likely to suffer complications in the postoperative period. By using these guidelines to improve patient selection, our risk models can help patients, physicians, and policymakers improve the clinical effectiveness of surgical and endovascular treatments for vascular disease.


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