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Mortality prediction with a single general self-rated health question. A meta-analysis.

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TLDR
In this article, the authors conducted a systematic review of the association between a single item assessing general self-rated health (GSRH) and mortality and found that persons with poor self-reported health had a 2-fold higher mortality risk compared with persons with "excellent" health status, even after adjustment for key covariates such as functional status, depression, and co-morbidity.
Abstract
OBJECTIVE: Health planners and policy makers are increasingly asking for a feasible method to identify vulnerable persons with the greatest health needs. We conducted a systematic review of the association between a single item assessing general self-rated health (GSRH) and mortality. DATA SOURCES: Systematic MEDLINE and EMBASE database searches for studies published from January 1966 to September 2003. REVIEW METHODS: Two investigators independently searched English language prospective, community-based cohort studies that reported (1) all-cause mortality, (2) a question assessing GSRH; and (3) an adjusted relative risk or equivalent. The investigators searched the citations to determine inclusion eligibility and abstracted data by following a standarized protocol. Of the 163 relevant studies identified, 22 cohorts met the inclusion criteria. Using a random effects model, compared with persons reporting “excellent” health status, the relative risk (95% confidence interval) for all-cause mortality was 1.23 [1.09, 1.39], 1.44 [1.21, 1.71], and 1.92 [1.64, 2.25] for those reporting “good,” “fair,” and “poor” health status, respectively. This relationship was robust in sensitivity analyses, limited to studies that adjusted for comorbid illness, functional status, cognitive status, and depression, and across subgroups defined by gender and country of origin. CONCLUSIONS: Persons with “poor” self-rated health had a 2-fold higher mortality risk compared with persons with “excellent” self-rated health. Subjects’ responses to a simple, single-item GSRH question maintained a strong association with mortality even after adjustment for key covariates such as functional status, depression, and co-morbidity.

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References
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Journal ArticleDOI

Bias in meta-analysis detected by a simple, graphical test

TL;DR: Funnel plots, plots of the trials' effect estimates against sample size, are skewed and asymmetrical in the presence of publication bias and other biases Funnel plot asymmetry, measured by regression analysis, predicts discordance of results when meta-analyses are compared with single large trials.
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Meta-Analysis in Clinical Trials*

TL;DR: This paper examines eight published reviews each reporting results from several related trials in order to evaluate the efficacy of a certain treatment for a specified medical condition and suggests a simple noniterative procedure for characterizing the distribution of treatment effects in a series of studies.
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Self-rated health and mortality : a review of twenty-seven community studies

TL;DR: This work examines the growing number of studies of survey respondents' global self-ratings of health as predictors of mortality in longitudinal studies of representative community samples and suggests several approaches to the next stage of research in this field.
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Self-rated health: a predictor of mortality among the elderly.

TL;DR: Empirical support is provided for the long held, but inadequately substantiated, belief that the way a person views his health is importantly related to subsequent health outcomes.
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Methods for Trend Estimation from Summarized Dose-Response Data, with Applications to Meta-Analysis

TL;DR: The authors propose two methods that account for the correlations but require only the summary estimates and marginal data from the studies, which provide more efficient estimates of regression slope, more accurate variance estimates, and more valid heterogeneity tests than those previously available.
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