Multivariable analysis of prognostic factors for toxicity and survival for patients enrolled in phase I clinical trials

Background: Patients with advanced solid tumors may be included in phase I clinical trials. In such studies, the benefit expected is generally lower than the likelihood of toxicity and may even be non-existent if the patient's life expectancy is too short. This study was performed to identify p...

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Veröffentlicht in:Annals of oncology 2000-02, Vol.11 (2), p.151-156
Hauptverfasser: Bachelot, T., Ray-Coquard, I., Catimel, G., Ardiet, C., Guastalla, J. P., Dumortier, A., Chauvin, F., Droz, J. P., Philip, T., Clavel, M.
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container_end_page 156
container_issue 2
container_start_page 151
container_title Annals of oncology
container_volume 11
creator Bachelot, T.
Ray-Coquard, I.
Catimel, G.
Ardiet, C.
Guastalla, J. P.
Dumortier, A.
Chauvin, F.
Droz, J. P.
Philip, T.
Clavel, M.
description Background: Patients with advanced solid tumors may be included in phase I clinical trials. In such studies, the benefit expected is generally lower than the likelihood of toxicity and may even be non-existent if the patient's life expectancy is too short. This study was performed to identify prognostic variables for toxicity and survival in patients who participate in phase I clinical trials. Patients and methods: One hundred fifty-four patients treated on a phase I clinical trial in our institute were evaluated retrospectively. Univariable and multivariable analyses of patients' characteristics were undertaken to determine their effects on the probability of grade 3 and 4 toxicity and on survival. Results: Grade 3 or 4 toxicity was experienced by 56 patients (36%): dosage level at entry (P < 0.001) and age over 65 years (P = 0.03) were independently associated with the risk of toxicity. Median overall survival was 5 months. The multivariable analysis identified performance status 2 or 3 (P < 0.001) and lactate dehydrogenase levels greater than 600 UI (P < 0.001) as independent adverse prognostic variables for overall survival. Using these two parameters, we determined a prognostic index which allowed us to discriminate three risk groups of patients with an observed median survival of 8.5, 4.5 and 1.5 months, respectively. Conclusions: Subgroups with different survival expectancy can be identified among patients who are eligible for phase I clinical trials. If confirmed, the proposed prognostic model may be useful for therapeutic decision making in palliative oncology.
doi_str_mv 10.1023/A:1008368319526
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P. ; Dumortier, A. ; Chauvin, F. ; Droz, J. P. ; Philip, T. ; Clavel, M.</creator><creatorcontrib>Bachelot, T. ; Ray-Coquard, I. ; Catimel, G. ; Ardiet, C. ; Guastalla, J. P. ; Dumortier, A. ; Chauvin, F. ; Droz, J. P. ; Philip, T. ; Clavel, M.</creatorcontrib><description>Background: Patients with advanced solid tumors may be included in phase I clinical trials. In such studies, the benefit expected is generally lower than the likelihood of toxicity and may even be non-existent if the patient's life expectancy is too short. This study was performed to identify prognostic variables for toxicity and survival in patients who participate in phase I clinical trials. Patients and methods: One hundred fifty-four patients treated on a phase I clinical trial in our institute were evaluated retrospectively. Univariable and multivariable analyses of patients' characteristics were undertaken to determine their effects on the probability of grade 3 and 4 toxicity and on survival. Results: Grade 3 or 4 toxicity was experienced by 56 patients (36%): dosage level at entry (P &lt; 0.001) and age over 65 years (P = 0.03) were independently associated with the risk of toxicity. Median overall survival was 5 months. The multivariable analysis identified performance status 2 or 3 (P &lt; 0.001) and lactate dehydrogenase levels greater than 600 UI (P &lt; 0.001) as independent adverse prognostic variables for overall survival. Using these two parameters, we determined a prognostic index which allowed us to discriminate three risk groups of patients with an observed median survival of 8.5, 4.5 and 1.5 months, respectively. Conclusions: Subgroups with different survival expectancy can be identified among patients who are eligible for phase I clinical trials. If confirmed, the proposed prognostic model may be useful for therapeutic decision making in palliative oncology.</description><identifier>ISSN: 0923-7534</identifier><identifier>EISSN: 1569-8041</identifier><identifier>DOI: 10.1023/A:1008368319526</identifier><identifier>PMID: 10761748</identifier><language>eng</language><publisher>Oxford: Oxford University Press</publisher><subject>Adult ; Age Distribution ; Aged ; Analysis of Variance ; Antineoplastic agents ; Antineoplastic Agents - administration &amp; dosage ; Antineoplastic Agents - adverse effects ; Biological and medical sciences ; Chemotherapy ; Clinical Trials, Phase I as Topic ; Disease-Free Survival ; Evaluation Studies as Topic ; Female ; Humans ; Male ; Medical sciences ; Middle Aged ; Multivariate Analysis ; Neoplasms - diagnosis ; Neoplasms - drug therapy ; Neoplasms - mortality ; palliative care ; Patient Selection ; Pharmacology. Drug treatments ; phase I clinical trial ; Prognosis ; Proportional Hazards Models ; Retrospective Studies ; retrospective study ; Risk Assessment ; Sex Distribution ; survival ; Survival Analysis ; toxicity</subject><ispartof>Annals of oncology, 2000-02, Vol.11 (2), p.151-156</ispartof><rights>2000 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c447t-646d4ef964f2c1f0b5721781806a7d45de7281f6cb49af4221f3823780e46a7e3</citedby><cites>FETCH-LOGICAL-c447t-646d4ef964f2c1f0b5721781806a7d45de7281f6cb49af4221f3823780e46a7e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=1347138$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/10761748$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bachelot, T.</creatorcontrib><creatorcontrib>Ray-Coquard, I.</creatorcontrib><creatorcontrib>Catimel, G.</creatorcontrib><creatorcontrib>Ardiet, C.</creatorcontrib><creatorcontrib>Guastalla, J. P.</creatorcontrib><creatorcontrib>Dumortier, A.</creatorcontrib><creatorcontrib>Chauvin, F.</creatorcontrib><creatorcontrib>Droz, J. P.</creatorcontrib><creatorcontrib>Philip, T.</creatorcontrib><creatorcontrib>Clavel, M.</creatorcontrib><title>Multivariable analysis of prognostic factors for toxicity and survival for patients enrolled in phase I clinical trials</title><title>Annals of oncology</title><addtitle>Ann Oncol</addtitle><description>Background: Patients with advanced solid tumors may be included in phase I clinical trials. In such studies, the benefit expected is generally lower than the likelihood of toxicity and may even be non-existent if the patient's life expectancy is too short. This study was performed to identify prognostic variables for toxicity and survival in patients who participate in phase I clinical trials. Patients and methods: One hundred fifty-four patients treated on a phase I clinical trial in our institute were evaluated retrospectively. Univariable and multivariable analyses of patients' characteristics were undertaken to determine their effects on the probability of grade 3 and 4 toxicity and on survival. Results: Grade 3 or 4 toxicity was experienced by 56 patients (36%): dosage level at entry (P &lt; 0.001) and age over 65 years (P = 0.03) were independently associated with the risk of toxicity. Median overall survival was 5 months. The multivariable analysis identified performance status 2 or 3 (P &lt; 0.001) and lactate dehydrogenase levels greater than 600 UI (P &lt; 0.001) as independent adverse prognostic variables for overall survival. Using these two parameters, we determined a prognostic index which allowed us to discriminate three risk groups of patients with an observed median survival of 8.5, 4.5 and 1.5 months, respectively. Conclusions: Subgroups with different survival expectancy can be identified among patients who are eligible for phase I clinical trials. If confirmed, the proposed prognostic model may be useful for therapeutic decision making in palliative oncology.</description><subject>Adult</subject><subject>Age Distribution</subject><subject>Aged</subject><subject>Analysis of Variance</subject><subject>Antineoplastic agents</subject><subject>Antineoplastic Agents - administration &amp; dosage</subject><subject>Antineoplastic Agents - adverse effects</subject><subject>Biological and medical sciences</subject><subject>Chemotherapy</subject><subject>Clinical Trials, Phase I as Topic</subject><subject>Disease-Free Survival</subject><subject>Evaluation Studies as Topic</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Multivariate Analysis</subject><subject>Neoplasms - diagnosis</subject><subject>Neoplasms - drug therapy</subject><subject>Neoplasms - mortality</subject><subject>palliative care</subject><subject>Patient Selection</subject><subject>Pharmacology. Drug treatments</subject><subject>phase I clinical trial</subject><subject>Prognosis</subject><subject>Proportional Hazards Models</subject><subject>Retrospective Studies</subject><subject>retrospective study</subject><subject>Risk Assessment</subject><subject>Sex Distribution</subject><subject>survival</subject><subject>Survival Analysis</subject><subject>toxicity</subject><issn>0923-7534</issn><issn>1569-8041</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2000</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpV0EtPAyEUBWBiNFqra3eGhdtRXgOMu6ZRa1LjpkbjhlAGFJ3OTICq_fdSa3ys7uJ-5xIOAEcYnWJE6NnoHCMkKZcUVyXhW2CAS14VEjG8DQaoIrQQJWV7YD_GF4QQr0i1C_YwEhwLJgfg_WbZJP-mg9fzxkLd6mYVfYSdg33ontouJm-g0yZ1IULXBZi6D298WmVbw7gMbzndfG16nbxtU4S2DV3T2Br6FvbPOlp4DU3jW2-yTPmpJh6AHZeHPfyeQ3B3eTEbT4rp7dX1eDQtDGMiFZzxmllXceaIwQ7NS0GwkFgirkXNytoKIrHjZs4q7Rgh2FFJqJDIsiwsHYKzzV0TuhiDdaoPfqHDSmGk1hWqkfpXYU4cbxL9cr6w9R-_6SyDk2-gY_6QC7o1Pv46ygSma1ZsmI_JfvysdXhVXFBRqsnDo6quZg_8ZsLVPf0EKxeJig</recordid><startdate>20000201</startdate><enddate>20000201</enddate><creator>Bachelot, T.</creator><creator>Ray-Coquard, I.</creator><creator>Catimel, G.</creator><creator>Ardiet, C.</creator><creator>Guastalla, J. 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P.</au><au>Philip, T.</au><au>Clavel, M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multivariable analysis of prognostic factors for toxicity and survival for patients enrolled in phase I clinical trials</atitle><jtitle>Annals of oncology</jtitle><addtitle>Ann Oncol</addtitle><date>2000-02-01</date><risdate>2000</risdate><volume>11</volume><issue>2</issue><spage>151</spage><epage>156</epage><pages>151-156</pages><issn>0923-7534</issn><eissn>1569-8041</eissn><abstract>Background: Patients with advanced solid tumors may be included in phase I clinical trials. In such studies, the benefit expected is generally lower than the likelihood of toxicity and may even be non-existent if the patient's life expectancy is too short. This study was performed to identify prognostic variables for toxicity and survival in patients who participate in phase I clinical trials. Patients and methods: One hundred fifty-four patients treated on a phase I clinical trial in our institute were evaluated retrospectively. Univariable and multivariable analyses of patients' characteristics were undertaken to determine their effects on the probability of grade 3 and 4 toxicity and on survival. Results: Grade 3 or 4 toxicity was experienced by 56 patients (36%): dosage level at entry (P &lt; 0.001) and age over 65 years (P = 0.03) were independently associated with the risk of toxicity. Median overall survival was 5 months. The multivariable analysis identified performance status 2 or 3 (P &lt; 0.001) and lactate dehydrogenase levels greater than 600 UI (P &lt; 0.001) as independent adverse prognostic variables for overall survival. Using these two parameters, we determined a prognostic index which allowed us to discriminate three risk groups of patients with an observed median survival of 8.5, 4.5 and 1.5 months, respectively. Conclusions: Subgroups with different survival expectancy can be identified among patients who are eligible for phase I clinical trials. If confirmed, the proposed prognostic model may be useful for therapeutic decision making in palliative oncology.</abstract><cop>Oxford</cop><pub>Oxford University Press</pub><pmid>10761748</pmid><doi>10.1023/A:1008368319526</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
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source MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection
subjects Adult
Age Distribution
Aged
Analysis of Variance
Antineoplastic agents
Antineoplastic Agents - administration & dosage
Antineoplastic Agents - adverse effects
Biological and medical sciences
Chemotherapy
Clinical Trials, Phase I as Topic
Disease-Free Survival
Evaluation Studies as Topic
Female
Humans
Male
Medical sciences
Middle Aged
Multivariate Analysis
Neoplasms - diagnosis
Neoplasms - drug therapy
Neoplasms - mortality
palliative care
Patient Selection
Pharmacology. Drug treatments
phase I clinical trial
Prognosis
Proportional Hazards Models
Retrospective Studies
retrospective study
Risk Assessment
Sex Distribution
survival
Survival Analysis
toxicity
title Multivariable analysis of prognostic factors for toxicity and survival for patients enrolled in phase I clinical trials
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