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We are analyzing https://link.springer.com/article/10.1186/2046-4053-2-10.

Title:
Survival of patients with non-small cell lung cancer without treatment: a systematic review and meta-analysis | Systematic Reviews
Description:
Background Lung cancer is considered a terminal illness with a five-year survival rate of about 16%. Informed decision-making related to the management of a disease requires accurate prognosis of the disease with or without treatment. Despite the significance of disease prognosis in clinical decision-making, systematic assessment of prognosis in patients with lung cancer without treatment has not been performed. We conducted a systematic review and meta-analysis of the natural history of patients with confirmed diagnosis of lung cancer without active treatment, to provide evidence-based recommendations for practitioners on management decisions related to the disease. Specifically, we estimated overall survival when no anticancer therapy is provided. Methods Relevant studies were identified by search of electronic databases and abstract proceedings, review of bibliographies of included articles, and contacting experts in the field. All prospective or retrospective studies assessing prognosis of lung cancer patients without treatment were eligible for inclusion. Data on mortality was extracted from all included studies. Pooled proportion of mortality was calculated as a back-transform of the weighted mean of the transformed proportions using the random-effects model. To perform meta-analysis of median survival, published methods were used to pool the estimates as mean and standard error under the random-effects model. Methodological quality of the studies was examined. Results Seven cohort studies (4,418 patients) and 15 randomized controlled trials (1,031 patients) were included in the meta-analysis. All studies assessed mortality without treatment in patients with non-small cell lung cancer (NSCLC). The pooled proportion of mortality without treatment in cohort studies was 0.97 (95% CI: 0.96 to 0.99) and 0.96 in randomized controlled trials (95% CI: 0.94 to 0.98) over median study periods of eight and three years, respectively. When data from cohort and randomized controlled trials were combined, the pooled proportion of mortality was 0.97 (95% CI: 0.96 to 0.98). Test of interaction showed a statistically non-significant difference between subgroups of cohort and randomized controlled trials. The pooled mean survival for patients without anticancer treatment in cohort studies was 11.94 months (95% CI: 10.07 to 13.8) and 5.03 months (95% CI: 4.17 to 5.89) in RCTs. For the combined data (cohort studies and RCTs), the pooled mean survival was 7.15 months (95% CI: 5.87 to 8.42), with a statistically significant difference between the two designs. Overall, the studies were of moderate methodological quality. Conclusion Systematic evaluation of evidence on prognosis of NSCLC without treatment shows that mortality is very high. Untreated lung cancer patients live on average for 7.15 months. Although limited by study design, these findings provide the basis for future trials to determine optimal expected improvement in mortality with innovative treatments.
Website Age:
28 years and 1 months (reg. 1997-05-29).

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  • Education
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Custom-built

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๐ŸŒ  Phenomenal Traffic: 5M - 10M visitors per month


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How Does Link.springer.com Make Money? {๐Ÿ’ธ}

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Keywords {๐Ÿ”}

cancer, studies, patients, lung, study, treatment, rcts, pubmed, article, google, scholar, cohort, survival, data, care, prognosis, mortality, pooled, supportive, quality, systematic, cas, nonsmall, cell, median, proportion, stage, included, search, versus, review, disease, results, figure, significant, reported, control, analysis, statistically, heterogeneity, methodological, randomized, fields, conducted, palliative, chemotherapy, criteria, months, outcome, research,

Topics {โœ’๏ธ}

net/mod_product/design/files/cebm-levels open access article cisplatin-cyclophosphamide-mitomycin combination chemotherapy article download pdf drop-outs versus completers informed decision-making related perform meta-analysis based author information authors i-squared statistic values provide evidence-based recommendations public/industry-funded cohort studies newcastle-ottawa scale literature search process clinical profile [5] significant treatment-related harms optimal search strategies privacy choices/manage cookies free text search informed decision-making informed decision making pre-defined inclusion criteria study setting/geographic location full access authorsโ€™ original file related subjects translational science institute optimizes search sensitivity lung cancer confront term โ€œlung cancerโ€ perform meta-analysis palliative care consisted statistical analysis considered performing analysis circulating tumor cells improving prognosis research early palliative care lung cancer studies terminally ill patients stage iii/iv nsclc results literature search potentially relevant reports natl cancer inst clinical decision-making treat analysis principle major scientific meetings american society inoperable lung cancer multicenter national studies subgroup differences showed randomized controlled trial

Questions {โ“}

  • Can early palliative care with anticancer treatment improve overall survival and patient-related outcomes in advanced lung cancer patients?
  • Daugherty CK, Hlubocky FJ: What are terminally ill cancer patients told about their expected deaths?
  • Does chemotherapy make a difference?
  • Lydgate still waiting?
  • Moons KG: Prognosis and prognostic research: what, why, and how?
  • Moons KGM: Prognosis and prognostic research: what, why, and how?
  • Quoix E: Is chemotherapy with cisplatin useful in non-small cell bronchial cancer at staging IV?
  • Wisnivesky JP, Halm EA: Sex differences in lung cancer survival: do tumors behave differently in elderly women?

Schema {๐Ÿ—บ๏ธ}

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         headline:Survival of patients with non-small cell lung cancer without treatment: a systematic review and meta-analysis
         description:Lung cancer is considered a terminal illness with a five-year survival rate of about 16%. Informed decision-making related to the management of a disease requires accurate prognosis of the disease with or without treatment. Despite the significance of disease prognosis in clinical decision-making, systematic assessment of prognosis in patients with lung cancer without treatment has not been performed. We conducted a systematic review and meta-analysis of the natural history of patients with confirmed diagnosis of lung cancer without active treatment, to provide evidence-based recommendations for practitioners on management decisions related to the disease. Specifically, we estimated overall survival when no anticancer therapy is provided. Relevant studies were identified by search of electronic databases and abstract proceedings, review of bibliographies of included articles, and contacting experts in the field. All prospective or retrospective studies assessing prognosis of lung cancer patients without treatment were eligible for inclusion. Data on mortality was extracted from all included studies. Pooled proportion of mortality was calculated as a back-transform of the weighted mean of the transformed proportions using the random-effects model. To perform meta-analysis of median survival, published methods were used to pool the estimates as mean and standard error under the random-effects model. Methodological quality of the studies was examined. Seven cohort studies (4,418 patients) and 15 randomized controlled trials (1,031 patients) were included in the meta-analysis. All studies assessed mortality without treatment in patients with non-small cell lung cancer (NSCLC). The pooled proportion of mortality without treatment in cohort studies was 0.97 (95% CI: 0.96 to 0.99) and 0.96 in randomized controlled trials (95% CI: 0.94 to 0.98) over median study periods of eight and three years, respectively. When data from cohort and randomized controlled trials were combined, the pooled proportion of mortality was 0.97 (95% CI: 0.96 to 0.98). Test of interaction showed a statistically non-significant difference between subgroups of cohort and randomized controlled trials. The pooled mean survival for patients without anticancer treatment in cohort studies was 11.94 months (95% CI: 10.07 to 13.8) and 5.03 months (95% CI: 4.17 to 5.89) in RCTs. For the combined data (cohort studies and RCTs), the pooled mean survival was 7.15 months (95% CI: 5.87 to 8.42), with a statistically significant difference between the two designs. Overall, the studies were of moderate methodological quality. Systematic evaluation of evidence on prognosis of NSCLC without treatment shows that mortality is very high. Untreated lung cancer patients live on average for 7.15 months. Although limited by study design, these findings provide the basis for future trials to determine optimal expected improvement in mortality with innovative treatments.
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      headline:Survival of patients with non-small cell lung cancer without treatment: a systematic review and meta-analysis
      description:Lung cancer is considered a terminal illness with a five-year survival rate of about 16%. Informed decision-making related to the management of a disease requires accurate prognosis of the disease with or without treatment. Despite the significance of disease prognosis in clinical decision-making, systematic assessment of prognosis in patients with lung cancer without treatment has not been performed. We conducted a systematic review and meta-analysis of the natural history of patients with confirmed diagnosis of lung cancer without active treatment, to provide evidence-based recommendations for practitioners on management decisions related to the disease. Specifically, we estimated overall survival when no anticancer therapy is provided. Relevant studies were identified by search of electronic databases and abstract proceedings, review of bibliographies of included articles, and contacting experts in the field. All prospective or retrospective studies assessing prognosis of lung cancer patients without treatment were eligible for inclusion. Data on mortality was extracted from all included studies. Pooled proportion of mortality was calculated as a back-transform of the weighted mean of the transformed proportions using the random-effects model. To perform meta-analysis of median survival, published methods were used to pool the estimates as mean and standard error under the random-effects model. Methodological quality of the studies was examined. Seven cohort studies (4,418 patients) and 15 randomized controlled trials (1,031 patients) were included in the meta-analysis. All studies assessed mortality without treatment in patients with non-small cell lung cancer (NSCLC). The pooled proportion of mortality without treatment in cohort studies was 0.97 (95% CI: 0.96 to 0.99) and 0.96 in randomized controlled trials (95% CI: 0.94 to 0.98) over median study periods of eight and three years, respectively. When data from cohort and randomized controlled trials were combined, the pooled proportion of mortality was 0.97 (95% CI: 0.96 to 0.98). Test of interaction showed a statistically non-significant difference between subgroups of cohort and randomized controlled trials. The pooled mean survival for patients without anticancer treatment in cohort studies was 11.94 months (95% CI: 10.07 to 13.8) and 5.03 months (95% CI: 4.17 to 5.89) in RCTs. For the combined data (cohort studies and RCTs), the pooled mean survival was 7.15 months (95% CI: 5.87 to 8.42), with a statistically significant difference between the two designs. Overall, the studies were of moderate methodological quality. Systematic evaluation of evidence on prognosis of NSCLC without treatment shows that mortality is very high. Untreated lung cancer patients live on average for 7.15 months. Although limited by study design, these findings provide the basis for future trials to determine optimal expected improvement in mortality with innovative treatments.
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         Natural history
         Meta-analysis
         Palliative care
         Placebo
         Medicine/Public Health
         general
         Biomedicine
         Statistics for Life Sciences
         Medicine
         Health Sciences
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            name:Division of Evidence-based Medicine and Health Outcomes Research University of South Florida
            address:
               name:Department of Internal Medicine, Division of Evidence-based Medicine and Health Outcomes Research University of South Florida, Tampa, USA
               type:PostalAddress
            type:Organization
      name:Benjamin Djulbegovic
      affiliation:
            name:University of South Florida Clinical and Translational Science Institute
            address:
               name:Center for Evidence Based Medicine and Outcomes Research. Department of Internal Medicine, Morsani College of Medicine, University of South Florida Clinical and Translational Science Institute, Tampa, USA
               type:PostalAddress
            type:Organization
            name:Division of Evidence-based Medicine and Health Outcomes Research University of South Florida
            address:
               name:Department of Internal Medicine, Division of Evidence-based Medicine and Health Outcomes Research University of South Florida, Tampa, USA
               type:PostalAddress
            type:Organization
            name:Moffitt Cancer Center & Research Institute
            address:
               name:Departments of Hematology and Health Outcomes and Behavior, Moffitt Cancer Center & Research Institute, Tampa, USA
               type:PostalAddress
            type:Organization
PostalAddress:
      name:Center for Evidence Based Medicine and Outcomes Research. Department of Internal Medicine, Morsani College of Medicine, University of South Florida Clinical and Translational Science Institute, Tampa, USA
      name:Department of Internal Medicine, Division of Evidence-based Medicine and Health Outcomes Research University of South Florida, Tampa, USA
      name:Center for Evidence Based Medicine and Outcomes Research. Department of Internal Medicine, Morsani College of Medicine, University of South Florida Clinical and Translational Science Institute, Tampa, USA
      name:Department of Internal Medicine, Division of Evidence-based Medicine and Health Outcomes Research University of South Florida, Tampa, USA
      name:Center for Evidence Based Medicine and Outcomes Research. Department of Internal Medicine, Morsani College of Medicine, University of South Florida Clinical and Translational Science Institute, Tampa, USA
      name:Department of Internal Medicine, Division of Evidence-based Medicine and Health Outcomes Research University of South Florida, Tampa, USA
      name:Departments of Hematology and Health Outcomes and Behavior, Moffitt Cancer Center & Research Institute, Tampa, USA
      name:Center for Evidence Based Medicine and Outcomes Research. Department of Internal Medicine, Morsani College of Medicine, University of South Florida Clinical and Translational Science Institute, Tampa, USA
      name:Department of Internal Medicine, Division of Evidence-based Medicine and Health Outcomes Research University of South Florida, Tampa, USA
      name:Center for Evidence Based Medicine and Outcomes Research. Department of Internal Medicine, Morsani College of Medicine, University of South Florida Clinical and Translational Science Institute, Tampa, USA
      name:Department of Internal Medicine, Division of Evidence-based Medicine and Health Outcomes Research University of South Florida, Tampa, USA
      name:Departments of Hematology and Health Outcomes and Behavior, Moffitt Cancer Center & Research Institute, Tampa, USA

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