Literature DB >> 12490079

Socioeconomic factors and the presentation, management, and outcome of patients with differentiated thyroid carcinoma.

Farah Y Ghori1, Danielle R Gutterman-Litofsky, Amin Jamal, Sai-Ching J Yeung, Ridha Arem, Steven I Sherman.   

Abstract

To determine whether patients from disadvantaged socioeconomic groups present with more advanced thyroid carcinoma or experience differing management and clinical outcomes, we retrospectively reviewed the charts of 292 patients seen at MD Anderson Cancer Center and Ben Taub General Hospital between 1987 and 1994. At diagnosis, the mean age was 42 +/- 16 years, 78% of patients were female, 76% of patients were low risk (TNM stage I or II), and 22% high risk (stage III or IV). Neighborhood income (+/- standard error of the mean [SEM]) (1990 census data) was lower in the high-risk group compared with the low-risk group (US dollars 26200 +/- 1670 vs. US dollars 30900 +/- 870, p = 0.012). Men were more likely than women to present at an older age (47.5 +/- 16.7 vs. 40.2 +/- 16.0, p = 0.0014) and in the high-risk group (46% vs. 15%, p < 0.0001). No socioeconomic factor (ethnicity, marital status, occupation prestige, neighborhood income, insurance type) influenced initial diagnostic assessment. Similarly, no socioeconomic factor influenced initial disease management or the type of follow-up received over the 12-year period. Married patients had a lower 5-year recurrence rate than those unmarried (18% vs. 32%, p = 0.03); however, this did not affect overall or disease-specific survival. Similarly, ethnicity, marital status, occupation prestige, and insurance type did not influence overall or disease-specific survival. Although 10-year overall survival rates were lower in patients in the lowest income quartile (57% vs. 70% for upper, p = 0.0024) and in men compared with women (39% vs. 76%, p < 0.0001), gender alone influenced 10-year disease-specific survival (80% for men, 89% for women, p = 0.047). In summary, no socioeconomic factor appears to affect initial treatment or follow-up pattern in patients with differentiated thyroid cancer. Income and gender may affect stage at initial disease presentation and may be risk factors affecting eventual clinical outcomes.

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Year:  2002        PMID: 12490079     DOI: 10.1089/105072502320908358

Source DB:  PubMed          Journal:  Thyroid        ISSN: 1050-7256            Impact factor:   6.568


  7 in total

1.  Impact of gender, partner status, and race on locoregional failure and overall survival in head and neck cancer patients in three radiation therapy oncology group trials.

Authors:  Thomas J Dilling; Kyounghwa Bae; Rebecca Paulus; Deborah Watkins-Bruner; Adam S Garden; Arlene Forastiere; K Kian Ang; Benjamin Movsas
Journal:  Int J Radiat Oncol Biol Phys       Date:  2011-05-05       Impact factor: 7.038

2.  The impact of age and gender on papillary thyroid cancer survival.

Authors:  J Jonklaas; G Nogueras-Gonzalez; M Munsell; D Litofsky; K B Ain; S T Bigos; J D Brierley; D S Cooper; B R Haugen; P W Ladenson; J Magner; J Robbins; D S Ross; M C Skarulis; D L Steward; H R Maxon; S I Sherman
Journal:  J Clin Endocrinol Metab       Date:  2012-04-10       Impact factor: 5.958

3.  The association of low socioeconomic status with advanced stage thyroid cancer.

Authors:  Ali A Almubarak; Yara A Albkiry; Abdulaziz A Alsalem; Mohammed A Elkrim Saad
Journal:  J Taibah Univ Med Sci       Date:  2021-05-28

Review 4.  Associations of social networks with cancer mortality: a meta-analysis.

Authors:  Martin Pinquart; Paul R Duberstein
Journal:  Crit Rev Oncol Hematol       Date:  2009-07-14       Impact factor: 6.312

5.  Sociodemographic Predictors of Survival in Differentiated Thyroid Cancer: Results from the SEER Database.

Authors:  Lily E Johnston; Hop S Tran Cao; David C Chang; Michael Bouvet
Journal:  ISRN Endocrinol       Date:  2012-08-16

6.  The incidence of thyroid cancer is affected by the characteristics of a healthcare system.

Authors:  Tae-Jin Lee; Sun Kim; Hong-Jun Cho; Jae-Ho Lee
Journal:  J Korean Med Sci       Date:  2012-12-07       Impact factor: 2.153

7.  Current practices in spatial analysis of cancer data: data characteristics and data sources for geographic studies of cancer.

Authors:  Francis P Boscoe; Mary H Ward; Peggy Reynolds
Journal:  Int J Health Geogr       Date:  2004-12-01       Impact factor: 3.918

  7 in total

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