BACKGROUND: The primary objectives of phase-I trials include the definition of drug toxicities and the recommendation of phase-II doses. In order to safeguard the well-being of its participants, a common inclusion criterion is that of life expectancy >3 months. However, previous studies have shown that about 20% of these patients do not survive beyond this time-point. METHODS: We identified 97 patients who died within the first 90 days of treatment out of a total of 654 consecutively treated phase-I patients, from June 2003 to June 2007. This cohort was compared to a control group comprising 215 patients who lived >90 days on phase-I studies and were treated from January 2005 to June 2006. RESULTS: In keeping with our recently reported phase-I survival risk score, multivariate analysis demonstrated that patients who died within the first 90 days had lower albumin (p=0.010), greater number of metastatic sites (p=0.00001) and higher frequency of elevated LDH (p=0.0002). This analysis also showed that 86% of patients who died during the first 90 days had an increased risk score of 2/3 compared to 39% in the control group. Furthermore, three additional factors were identified, namely younger age (p=0.024), higher white cell count (p=0.028) and poorer ECOG PS (p=0.012) but the addition of these did not improve the ability to predict 90-day mortality compared to the afore-mentioned risk score. CONCLUSIONS: There is good evidence that our easily derivable scoring system provides an objective method to identify patients with a very limited life expectancy in whom participation in phase-I trials should be carefully evaluated.
BACKGROUND: The primary objectives of phase-I trials include the definition of drug toxicities and the recommendation of phase-II doses. In order to safeguard the well-being of its participants, a common inclusion criterion is that of life expectancy >3 months. However, previous studies have shown that about 20% of these patients do not survive beyond this time-point. METHODS: We identified 97 patients who died within the first 90 days of treatment out of a total of 654 consecutively treated phase-I patients, from June 2003 to June 2007. This cohort was compared to a control group comprising 215 patients who lived >90 days on phase-I studies and were treated from January 2005 to June 2006. RESULTS: In keeping with our recently reported phase-I survival risk score, multivariate analysis demonstrated that patients who died within the first 90 days had lower albumin (p=0.010), greater number of metastatic sites (p=0.00001) and higher frequency of elevated LDH (p=0.0002). This analysis also showed that 86% of patients who died during the first 90 days had an increased risk score of 2/3 compared to 39% in the control group. Furthermore, three additional factors were identified, namely younger age (p=0.024), higher white cell count (p=0.028) and poorer ECOG PS (p=0.012) but the addition of these did not improve the ability to predict 90-day mortality compared to the afore-mentioned risk score. CONCLUSIONS: There is good evidence that our easily derivable scoring system provides an objective method to identify patients with a very limited life expectancy in whom participation in phase-I trials should be carefully evaluated.
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Authors: A Schwandt; P J Harris; S Hunsberger; A Deleporte; G L Smith; D Vulih; B D Anderson; S P Ivy Journal: Clin Cancer Res Date: 2014-07-15 Impact factor: 12.531
Authors: David M Hyman; Anne A Eaton; Mrinal M Gounder; Gary L Smith; Erika G Pamer; Martee L Hensley; David R Spriggs; Percy Ivy; Alexia Iasonos Journal: J Clin Oncol Date: 2014-01-13 Impact factor: 44.544
Authors: Audrey E Kam; Gopichand Pendurti; Umang H Shah; Mohammad H Ghalib; Imran Chaudhary; Jennifer Chuy; Lakshmi Rajdev; Andreas Kaubisch; Santiago Aparo; Ioannis Mantzaris; Sanjay Goel Journal: Invest New Drugs Date: 2018-10-12 Impact factor: 3.850
Authors: Alfonso Sánchez-Muñoz; Elisabeth Pérez-Ruiz; María Isabel Sáez; José Manuel Trigo; M Mar Galindo; Lourdes Manzaneque; Begoña Jiménez; Begoña Muros; Emilio Alba Journal: Clin Transl Oncol Date: 2011-06 Impact factor: 3.405
Authors: Diane A J van der Biessen; Merlijn A Cranendonk; Gaia Schiavon; Bronno van der Holt; Erik A C Wiemer; Ferry A L M Eskens; Jaap Verweij; Maja J A de Jonge; Ron H J Mathijssen Journal: Oncologist Date: 2013-02-21
Authors: Mrinal M Gounder; Lakshmi Nayak; Solmaz Sahebjam; Alona Muzikansky; Armando J Sanchez; Serena Desideri; Xiaobu Ye; S Percy Ivy; L Burt Nabors; Michael Prados; Stuart Grossman; Lisa M DeAngelis; Patrick Y Wen Journal: J Clin Oncol Date: 2015-08-17 Impact factor: 44.544
Authors: A T Brunetto; D Sarker; D Papadatos-Pastos; R Fehrmann; S B Kaye; S Johnston; M Allen; J S De Bono; C Swanton Journal: Br J Cancer Date: 2010-07-27 Impact factor: 7.640