2011
DOI: 10.1186/1471-2407-11-426
|View full text |Cite
|
Sign up to set email alerts
|

Early mortality and overall survival in oncology phase I trial participants: can we improve patient selection?

Abstract: BackgroundPatient selection for phase I trials (PIT) in oncology is challenging. A typical inclusion criterion for PIT is 'life expectancy > 3 months', however the 90 day mortality (90DM) and overall survival (OS) of patients with advanced solid malignancies are difficult to predict.MethodsWe analyzed 233 patients who were enrolled in PIT at Princess Margaret Hospital. We assessed the relationship between 17 clinical characteristics and 90DM using univariate and multivariate logistic regression analyses to cre… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
38
0
1

Year Published

2013
2013
2024
2024

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 30 publications
(39 citation statements)
references
References 21 publications
0
38
0
1
Order By: Relevance
“…Three patients (right three columns on Figure 5) showed best objective response of stable disease according to RECIST 1.1 guidelines during the trial period but survived only 7–10 weeks. Although a goal of the inclusion criteria was to select patients with anticipated 180 days survival, retrospective reviews of large phase I groups have demonstrated that up to 20% of patients die within the first 90 days of oncology phase I trials (Arkenau et al , 2008; Penel et al , 2010; Chau et al , 2011), as was the case with this trial.…”
Section: Resultsmentioning
confidence: 97%
“…Three patients (right three columns on Figure 5) showed best objective response of stable disease according to RECIST 1.1 guidelines during the trial period but survived only 7–10 weeks. Although a goal of the inclusion criteria was to select patients with anticipated 180 days survival, retrospective reviews of large phase I groups have demonstrated that up to 20% of patients die within the first 90 days of oncology phase I trials (Arkenau et al , 2008; Penel et al , 2010; Chau et al , 2011), as was the case with this trial.…”
Section: Resultsmentioning
confidence: 97%
“…3,[27][28][29] The effectiveness of these markers of inflammation in prognostication of survival is well established across numerous malignancies in various settings. Similar to other validated prognostic scores used to assess patient suitability for phase 1 trials, such as the RMH score, the Hammersmith score, the Princes Margaret Hospital Index, and the Nijmegen score (which have been effective at predicting survival differences between high-risk and low-risk groups), we believe that NLR, MLR, or PLR could provide a more relevant patient-selection factor in this era of cancer IO.…”
Section: Discussionmentioning
confidence: 99%
“…Similar to other validated prognostic scores used to assess patient suitability for phase 1 trials, such as the RMH score, the Hammersmith score, the Princes Margaret Hospital Index, and the Nijmegen score (which have been effective at predicting survival differences between high-risk and low-risk groups), we believe that NLR, MLR, or PLR could provide a more relevant patient-selection factor in this era of cancer IO. 3,[27][28][29] The effectiveness of these markers of inflammation in prognostication of survival is well established across numerous malignancies in various settings. One potential explanation for the impact of these markers is that an increase in NLR, MLR, and PLR values on Abbreviations: CI, confidence interval; MLR, monocyte-to-lymphocyte ratio; NA, not applicable; NLR, neutrophil-to-lymphocyte ratio; OC, optimal cutoff; PLR, platelet-to-lymphocyte ratio.…”
Section: Discussionmentioning
confidence: 99%
“…The OS in our group of patients who started participation was 8.18 months. Earlier reports of OS in phase‐I clinical trials showed OS rates varying between 9.9 (Arkenau et al, ) and 10.5 (Chau et al, ) months. Variations in research modalities, group size, heterogeneity of tumour types, or baseline condition may explain these variations in survival.…”
Section: Discussionmentioning
confidence: 97%