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Open AccessJournal ArticleDOI

Chemotherapy in addition to supportive care improves survival in advanced non-small-cell lung cancer: A systematic review and meta-analysis of individual patient data from 16 randomized controlled trials

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TLDR
In this article, an individual patient data meta-analysis of supportive care and chemotherapy for non-small-cell lung cancer (NSCLC) was carried out to assess newer regimens and determine conclusively the effect of chemotherapy.
Abstract
PURPOSE Since our individual patient data (IPD) meta-analysis (MA) of supportive care and chemotherapy for non-small-cell lung cancer (NSCLC), published in 1995, many trials have been completed. An updated, IPD MA has been carried out to assess newer regimens and determine conclusively the effect of chemotherapy. METHODS Systematic searches for randomized controlled trials (RCTs) were undertaken, followed by central collection, checking, and reanalysis of updated IPD. Results from RCTs were combined to calculate individual and pooled hazard ratios (HRs). RESULTS Data were obtained from 2,714 patients from 16 RCTs. There were 1,293 deaths among 1,399 patients assigned supportive care and chemotherapy and 1,240 among 1,315 assigned supportive care alone. Results showed a significant benefit of chemotherapy (HR, 0.77; 95% CI, 0.71 to 0.83; P <or= .0001), equivalent to a relative increase in survival of 23% or an absolute improvement in survival of 9% at 12 months, increasing survival from 20% to 29%. There was no clear evidence that this effect was influenced by the drugs used (P = .63) or whether they were used as single agents or in combination (P = .40). Despite changes in patient demographics, the effect of chemotherapy in recent trials did not differ from those included previously (P = .77). There was no clear evidence of a difference or trend in the relative effect of chemotherapy across patient subgroups. CONCLUSION This MA of chemotherapy in the supportive care setting demonstrates conclusively that chemotherapy improves overall survival in all patients with advanced NSCLC. Therefore, all patients who are fit enough and wish to receive chemotherapy should do so.

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References
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Book ChapterDOI

Nonparametric Estimation from Incomplete Observations

TL;DR: In this article, the product-limit (PL) estimator was proposed to estimate the proportion of items in the population whose lifetimes would exceed t (in the absence of such losses), without making any assumption about the form of the function P(t).
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TL;DR: A substantial proportion of the worldwide burden of cancer could be prevented through the application of existing cancer control knowledge and by implementing programs for tobacco control, vaccination, and early detection and treatment, as well as public health campaigns promoting physical activity and a healthier dietary intake.
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Measuring inconsistency in meta-analyses

TL;DR: A new quantity is developed, I 2, which the authors believe gives a better measure of the consistency between trials in a meta-analysis, which is susceptible to the number of trials included in the meta- analysis.
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TL;DR: There are striking variations in the risk of different cancers by geographic area, most of the international variation is due to exposure to known or suspected risk factors related to lifestyle or environment, and provides a clear challenge to prevention.
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Extracting summary statistics to perform meta-analyses of the published literature for survival endpoints.

TL;DR: A number of methods of extracting estimates of the log hazard ratio and its variance in a variety of situations are presented to improve the efficiency and reliability of meta-analyses of the published literature with survival-type endpoints.
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