Literature DB >> 6699124

Economic differentials in cancer survival: a multivariate analysis.

T N Chirikos, N A Reiches, M L Moeschberger.   

Abstract

This study investigates economic differentials in cancer survival using more adequate measures of economic status and controlling for confounding variables more systematically than earlier studies. For 1180 white males, a variant of the Cox regression model is employed to estimate the direct and interaction effects of economic status on survivorship, controlling for age at diagnosis, stage, severity of disease, and initial course of treatment. The results do not show a strong relationship. Estimates of direct or main economic effects rarely reach even borderline statistical significance; they are highly sensitive to model specification and the measurement of the economic variable. An equally weak interaction effect between economic status and stage is detected in several cases, but the parameter estimates are unstable. Such measurement and specification errors have probably exaggerated the importance of economic factors in cancer survival in earlier investigations.

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Year:  1984        PMID: 6699124     DOI: 10.1016/0021-9681(84)90146-2

Source DB:  PubMed          Journal:  J Chronic Dis        ISSN: 0021-9681


  9 in total

1.  Social class and cancer survival in Turin, Italy.

Authors:  S Rosso; F Faggiano; R Zanetti; G Costa
Journal:  J Epidemiol Community Health       Date:  1997-02       Impact factor: 3.710

2.  Measuring social class differences in cancer patient survival: is it necessary to control for social class differences in general population mortality? A Finnish population-based study.

Authors:  P W Dickman; A Auvinen; E T Voutilainen; T Hakulinen
Journal:  J Epidemiol Community Health       Date:  1998-11       Impact factor: 3.710

3.  An international comparison of cancer survival: Toronto, Ontario, and Detroit, Michigan, metropolitan areas.

Authors:  K M Gorey; E J Holowaty; G Fehringer; E Laukkanen; A Moskowitz; D J Webster; N L Richter
Journal:  Am J Public Health       Date:  1997-07       Impact factor: 9.308

4.  Social factors, treatment, and survival in early-stage non-small cell lung cancer.

Authors:  H P Greenwald; N L Polissar; E F Borgatta; R McCorkle; G Goodman
Journal:  Am J Public Health       Date:  1998-11       Impact factor: 9.308

5.  Cancer survival and social class in Sweden.

Authors:  D Vågerö; G Persson
Journal:  J Epidemiol Community Health       Date:  1987-09       Impact factor: 3.710

6.  [Prognostic factors in survival after cancer: epidemiological model].

Authors:  L Raymond; M Obradovic; G Fioretta
Journal:  Soz Praventivmed       Date:  1988

7.  The use of interviews with surrogate respondents in a case-control study of oral cancer.

Authors:  R S Greenberg; J M Liff; H R Gregory; J E Brockman
Journal:  Yale J Biol Med       Date:  1986 Sep-Oct

8.  Stage and delay in breast cancer diagnosis by race, socioeconomic status, age and year.

Authors:  J L Richardson; B Langholz; L Bernstein; C Burciaga; K Danley; R K Ross
Journal:  Br J Cancer       Date:  1992-06       Impact factor: 7.640

9.  Socioeconomic Differences and Lung Cancer Survival-Systematic Review and Meta-Analysis.

Authors:  Isabelle Finke; Gundula Behrens; Linda Weisser; Hermann Brenner; Lina Jansen
Journal:  Front Oncol       Date:  2018-11-27       Impact factor: 6.244

  9 in total

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