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We are analyzing https://link.springer.com/article/10.1007/s00432-008-0378-2.

Title:
Baseline elevated leukocyte count in peripheral blood is associated with poor survival in patients with advanced non-small cell lung cancer: a prognostic model | Journal of Cancer Research and Clinical Oncology
Description:
We aimed to investigate the prognostic significance of several baseline variables in stage IIIB-IV non-small cell lung cancer to create a model based on independent prognostic factors. A total of 320 patients were treated with last generation chemotherapy regimens. The majority of patients received treatment with cisplatin + gemcitabine or gemcitabine alone if older than 70 years or with an ECOG performance status (PS) = 2. Performance status of 2, squamous histology, number of metastatic sites >2, presence of bone, brain, liver and contralateral lung metastases and elevated leukocyte count in peripheral blood were all statistically significant prognostic factors in univariate analyses whereas the other tested variables (sex, stage, age, presence of adrenal gland and skin metastases) were not. Subsequently, a multivariate Cox’s regression analysis identified PS 2 (P < 0.001, hazard ratio 2.57), elevated leukocyte count (P < 0.001, hazard ratio 1.79), squamous histology (P = 0.005, hazard ratio 1.45) and presence of brain metastases (P = 0.035, hazard ratio 1.5) as independent prognostic factors for poor survival. Patients were assigned to one of three risk groups according to the cumulative risk defined as the sum of simplified risk scores of the four independent prognostic factors. Low-, intermediate- and high-risk patients achieved a median survival of 10.2 months (95% confidence interval (CI) 8.9–11.6), 5.1 months (95% CI 4.0–6.2) and 2.8 months (95% CI 0.5–5.2), respectively. The high-risk group encompassed PS 2 patients with two or three adjunctive unfavourable independent prognostic factors. Performance status, white blood cells count, histology and brain metastases resulted in our series prognostic factors of survival in NSCLC patients treated with chemotherapy at a multivariate analysis. Leukocyte count resulted the stronger factor after performance status. If prospectly validated, the proposed prognostic model could be useful to stratify performance status 2 patients in specific future trials.
Website Age:
28 years and 1 months (reg. 1997-05-29).

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Custom-built

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🌠 Phenomenal Traffic: 5M - 10M visitors per month


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Keywords {🔍}

cancer, article, lung, prognostic, google, scholar, patients, advanced, factors, clin, survival, model, gemcitabine, oncol, cas, nonsmallcell, pubmed, count, cell, access, research, leukocyte, nonsmall, status, group, phase, iii, privacy, cookies, content, journal, elevated, blood, poor, tibaldi, chemotherapy, performance, metastatic, metastases, study, versus, analysis, publish, search, oncology, peripheral, vasile, bernardini, falcone, stage,

Topics {✒️}

month download article/chapter small-cell lung cancer high-risk patients achieved independent prognostic factors elevated leukocyte count series prognostic factors leukocyte count resulted phase iii trial proposed prognostic model risk-stratification model full article pdf privacy choices/manage cookies clinical oncology aims prognostic factors multivariate analysis cumulative risk defined simplified risk scores tumor-related leukocytosis retrospective cohort study contralateral lung metastases related subjects prognostic model european economic area nsclc patients treated generation chemotherapy regimens check access instant access lung carcinoma model based carboplatin versus gemcitabine scope submit manuscript gonzalez-larriba jl de las penas poor prognosis ecog performance status conditions privacy policy multivariate cox specific future trials von der maase santa chiara hospital article journal herbst rs vinorelbine versus gemcitabine cancer research accepting optional cookies journal finder publish main content log stage iiib-iv nsclc patients prognostic significance

Schema {🗺️}

WebPage:
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         headline:Baseline elevated leukocyte count in peripheral blood is associated with poor survival in patients with advanced non-small cell lung cancer: a prognostic model
         description:We aimed to investigate the prognostic significance of several baseline variables in stage IIIB-IV non-small cell lung cancer to create a model based on independent prognostic factors. A total of 320 patients were treated with last generation chemotherapy regimens. The majority of patients received treatment with cisplatin + gemcitabine or gemcitabine alone if older than 70 years or with an ECOG performance status (PS) = 2. Performance status of 2, squamous histology, number of metastatic sites >2, presence of bone, brain, liver and contralateral lung metastases and elevated leukocyte count in peripheral blood were all statistically significant prognostic factors in univariate analyses whereas the other tested variables (sex, stage, age, presence of adrenal gland and skin metastases) were not. Subsequently, a multivariate Cox’s regression analysis identified PS 2 (P < 0.001, hazard ratio 2.57), elevated leukocyte count (P < 0.001, hazard ratio 1.79), squamous histology (P = 0.005, hazard ratio 1.45) and presence of brain metastases (P = 0.035, hazard ratio 1.5) as independent prognostic factors for poor survival. Patients were assigned to one of three risk groups according to the cumulative risk defined as the sum of simplified risk scores of the four independent prognostic factors. Low-, intermediate- and high-risk patients achieved a median survival of 10.2 months (95% confidence interval (CI) 8.9–11.6), 5.1 months (95% CI 4.0–6.2) and 2.8 months (95% CI 0.5–5.2), respectively. The high-risk group encompassed PS 2 patients with two or three adjunctive unfavourable independent prognostic factors. Performance status, white blood cells count, histology and brain metastases resulted in our series prognostic factors of survival in NSCLC patients treated with chemotherapy at a multivariate analysis. Leukocyte count resulted the stronger factor after performance status. If prospectly validated, the proposed prognostic model could be useful to stratify performance status 2 patients in specific future trials.
         datePublished:2008-03-18T00:00:00Z
         dateModified:2008-03-18T00:00:00Z
         pageStart:1143
         pageEnd:1149
         sameAs:https://doi.org/10.1007/s00432-008-0378-2
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            Leukocyte count
            Multivariate analysis
            Prognostic factors
            Prognostic model
            NSCLC
            Chemotherapy
            Oncology
            Cancer Research
            Internal Medicine
            Hematology
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                        name:Division of Medical Oncology, Civil Hospital, Livorno, Italy
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                     name:University of Pisa
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                        name:University of Pisa, Pisa, Italy
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                     name:Istituto Tumori Toscano (ITT)
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      headline:Baseline elevated leukocyte count in peripheral blood is associated with poor survival in patients with advanced non-small cell lung cancer: a prognostic model
      description:We aimed to investigate the prognostic significance of several baseline variables in stage IIIB-IV non-small cell lung cancer to create a model based on independent prognostic factors. A total of 320 patients were treated with last generation chemotherapy regimens. The majority of patients received treatment with cisplatin + gemcitabine or gemcitabine alone if older than 70 years or with an ECOG performance status (PS) = 2. Performance status of 2, squamous histology, number of metastatic sites >2, presence of bone, brain, liver and contralateral lung metastases and elevated leukocyte count in peripheral blood were all statistically significant prognostic factors in univariate analyses whereas the other tested variables (sex, stage, age, presence of adrenal gland and skin metastases) were not. Subsequently, a multivariate Cox’s regression analysis identified PS 2 (P < 0.001, hazard ratio 2.57), elevated leukocyte count (P < 0.001, hazard ratio 1.79), squamous histology (P = 0.005, hazard ratio 1.45) and presence of brain metastases (P = 0.035, hazard ratio 1.5) as independent prognostic factors for poor survival. Patients were assigned to one of three risk groups according to the cumulative risk defined as the sum of simplified risk scores of the four independent prognostic factors. Low-, intermediate- and high-risk patients achieved a median survival of 10.2 months (95% confidence interval (CI) 8.9–11.6), 5.1 months (95% CI 4.0–6.2) and 2.8 months (95% CI 0.5–5.2), respectively. The high-risk group encompassed PS 2 patients with two or three adjunctive unfavourable independent prognostic factors. Performance status, white blood cells count, histology and brain metastases resulted in our series prognostic factors of survival in NSCLC patients treated with chemotherapy at a multivariate analysis. Leukocyte count resulted the stronger factor after performance status. If prospectly validated, the proposed prognostic model could be useful to stratify performance status 2 patients in specific future trials.
      datePublished:2008-03-18T00:00:00Z
      dateModified:2008-03-18T00:00:00Z
      pageStart:1143
      pageEnd:1149
      sameAs:https://doi.org/10.1007/s00432-008-0378-2
      keywords:
         Leukocyte count
         Multivariate analysis
         Prognostic factors
         Prognostic model
         NSCLC
         Chemotherapy
         Oncology
         Cancer Research
         Internal Medicine
         Hematology
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                     name:Istituto Tumori Toscano (ITT), Firenze, Italy
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                  name:Istituto Tumori Toscano (ITT)
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                     name:Istituto Tumori Toscano (ITT), Firenze, Italy
                     type:PostalAddress
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            name:I. Bernardini
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                  name:Civil Hospital
                  address:
                     name:Division of Medical Oncology, Civil Hospital, Livorno, Italy
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                  name:Istituto Tumori Toscano (ITT)
                  address:
                     name:Istituto Tumori Toscano (ITT), Firenze, Italy
                     type:PostalAddress
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                  name:Santa Chiara Hospital
                  address:
                     name:Division of Medical Oncology, Santa Chiara Hospital, Pisa, Italy
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                  type:Organization
                  name:Istituto Tumori Toscano (ITT)
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                     name:Istituto Tumori Toscano (ITT), Firenze, Italy
                     type:PostalAddress
                  type:Organization
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                  name:Civil Hospital
                  address:
                     name:Division of Medical Oncology, Civil Hospital, Livorno, Italy
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                  type:Organization
                  name:Istituto Tumori Toscano (ITT)
                  address:
                     name:Istituto Tumori Toscano (ITT), Firenze, Italy
                     type:PostalAddress
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                  name:Civil Hospital
                  address:
                     name:Division of Medical Oncology, Civil Hospital, Livorno, Italy
                     type:PostalAddress
                  type:Organization
                  name:University of Pisa
                  address:
                     name:University of Pisa, Pisa, Italy
                     type:PostalAddress
                  type:Organization
                  name:Istituto Tumori Toscano (ITT)
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      name:Journal of Cancer Research and Clinical Oncology
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         name:Istituto Tumori Toscano (ITT), Firenze, Italy
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         name:Division of Medical Oncology, Civil Hospital, Livorno, Italy
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         name:Division of Medical Oncology, Civil Hospital, Livorno, Italy
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         name:Istituto Tumori Toscano (ITT), Firenze, Italy
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         name:Division of Medical Oncology, Santa Chiara Hospital, Pisa, Italy
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         name:Istituto Tumori Toscano (ITT), Firenze, Italy
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         name:Istituto Tumori Toscano (ITT), Firenze, Italy
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         name:University of Pisa, Pisa, Italy
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               name:Istituto Tumori Toscano (ITT), Firenze, Italy
               type:PostalAddress
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      name:E. Vasile
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            name:Civil Hospital
            address:
               name:Division of Medical Oncology, Civil Hospital, Livorno, Italy
               type:PostalAddress
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            name:Istituto Tumori Toscano (ITT)
            address:
               name:Istituto Tumori Toscano (ITT), Firenze, Italy
               type:PostalAddress
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      name:I. Bernardini
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            name:Civil Hospital
            address:
               name:Division of Medical Oncology, Civil Hospital, Livorno, Italy
               type:PostalAddress
            type:Organization
            name:Istituto Tumori Toscano (ITT)
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               name:Istituto Tumori Toscano (ITT), Firenze, Italy
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               name:Division of Medical Oncology, Santa Chiara Hospital, Pisa, Italy
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            name:Civil Hospital
            address:
               name:Division of Medical Oncology, Civil Hospital, Livorno, Italy
               type:PostalAddress
            type:Organization
            name:Istituto Tumori Toscano (ITT)
            address:
               name:Istituto Tumori Toscano (ITT), Firenze, Italy
               type:PostalAddress
            type:Organization
      name:A. Falcone
      affiliation:
            name:Civil Hospital
            address:
               name:Division of Medical Oncology, Civil Hospital, Livorno, Italy
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            type:Organization
            name:University of Pisa
            address:
               name:University of Pisa, Pisa, Italy
               type:PostalAddress
            type:Organization
            name:Istituto Tumori Toscano (ITT)
            address:
               name:Istituto Tumori Toscano (ITT), Firenze, Italy
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      name:Istituto Tumori Toscano (ITT), Firenze, Italy
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      name:Istituto Tumori Toscano (ITT), Firenze, Italy
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      name:Istituto Tumori Toscano (ITT), Firenze, Italy
      name:Division of Medical Oncology, Civil Hospital, Livorno, Italy
      name:Istituto Tumori Toscano (ITT), Firenze, Italy
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