Literature DB >> 24588412

Prevalence and prognostic impact of comorbidity in soft tissue sarcoma: a population-based cohort study.

Katja Maretty-Nielsen1, Ninna Aggerholm-Pedersen, Akmal Safwat, Steen Baerentzen, Alma B Pedersen, Johnny Keller.   

Abstract

BACKGROUND: Comorbidity is an important prognostic factor for survival in other cancers, but the importance in soft tissue sarcoma has not yet been clarified. The aims of this study were to examine the prevalence of comorbidity in soft tissue sarcoma patients, and estimate the impact of comorbidity on overall and disease-specific mortality.
MATERIAL AND METHODS: Overall, 1210 adult patients with soft tissue sarcoma in the extremities or trunk wall were identified through the Aarhus Sarcoma Registry, a validated population-based database. Information on comorbidity was obtained through the National Patient Registry, and a Charlson's Comorbidity score was calculated for each patient. The prevalence of comorbidity was assessed overall, as well as according to age and year of diagnosis. Overall and disease-specific mortality rates according to level of comorbidity were computed. The prognostic value of comorbidity was estimated using crude and adjusted Cox proportional hazard models.
RESULTS: The overall prevalence of comorbidity was 25%. The prevalence increased with increasing age, and patients with comorbidity had a larger proportion of adverse prognostic factors when compared to patients without comorbidity. The five-year disease-specific mortality was 26% (95% CI 24-29) for patients without comorbidity, compared to 33% (95% CI 24-42), 41% (95% CI 32-50), and 44% (95% CI 33-55) for patients with mild, moderate, and severe comorbidity, respectively. After adjusting for age, sex, stage, tumor size, depth, grade, surgical margin, radiotherapy, and chemotherapy, comorbidity was independently associated with an increased overall and disease-specific mortality.
CONCLUSION: Patients with comorbidity had significantly increased overall and disease-specific mortality compared to patients without comorbidity, even when adjusting for important prognostic factors including age.

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Year:  2014        PMID: 24588412     DOI: 10.3109/0284186X.2014.888494

Source DB:  PubMed          Journal:  Acta Oncol        ISSN: 0284-186X            Impact factor:   4.089


  11 in total

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Journal:  Ann Oncol       Date:  2018-09-01       Impact factor: 32.976

4.  The impact of comorbidity on mortality in Danish sarcoma patients from 2000-2013: A nationwide population-based multicentre study.

Authors:  Mathias Raedkjaer; Katja Maretty-Kongstad; Thomas Baad-Hansen; Peter Holmberg Jørgensen; Akmal Safwat; Peter Vedsted; Michael Mørk Petersen; Thea Hovgaard; Tine Nymark; Johnny Keller
Journal:  PLoS One       Date:  2018-06-11       Impact factor: 3.240

5.  A Validated Prognostic Biomarker Score for Adult Patients with Nonmetastatic Soft Tissue Sarcomas of the Trunk and Extremities.

Authors:  Katja Maretty-Kongstad; Ninna Aggerholm-Pedersen; Johnny Keller; Akmal Safwat
Journal:  Transl Oncol       Date:  2017-10-11       Impact factor: 4.243

6.  Use of Healthcare Services Two Years before Diagnosis in Danish Sarcoma Patients, 2000-2013.

Authors:  Mathias Rædkjær; Katja Maretty-Kongstad; Thomas Baad-Hansen; Akmal Safwat; Michael M Petersen; Johnny Keller; Peter Vedsted
Journal:  Sarcoma       Date:  2019-05-07

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Journal:  Cancer Res Treat       Date:  2019-02-18       Impact factor: 4.679

8.  Unplanned Excision of Extremity Soft Tissue Sarcoma in Korea: A Nationwide Study Based on a Claims Registry.

Authors:  Seungcheol Kang; Han-Soo Kim; Ilkyu Han
Journal:  PLoS One       Date:  2015-08-03       Impact factor: 3.240

9.  Age-related sarcoma patient experience: results from a national survey in England.

Authors:  Eugenie Younger; Olga Husson; Lindsey Bennister; Jeremy Whelan; Roger Wilson; Andy Roast; Robin L Jones; Winette Ta van der Graaf
Journal:  BMC Cancer       Date:  2018-10-17       Impact factor: 4.430

10.  Prediction of Soft Tissue Sarcoma from Clinical Characteristics and Laboratory Data.

Authors:  Taketsugu Fujibuchi; Joji Miyawaki; Teruki Kidani; Hiroshi Imai; Hiromasa Miura
Journal:  Cancers (Basel)       Date:  2020-03-13       Impact factor: 6.639

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