Literature DB >> 15310770

Population variations in the initial treatment of non-small-cell lung cancer.

Arnold L Potosky1, Scott Saxman, Robert B Wallace, Charles F Lynch.   

Abstract

PURPOSE: Dissemination of recommended therapies for non-small-cell lung cancer (NSCLC) have not been described comprehensively. We report the patterns of initial therapy focusing on the investigation of differences in receipt of recommended therapies according to multiple clinical and nonclinical patient characteristics.
METHODS: A population-based random sample of newly diagnosed NSCLC patients diagnosed in 10 separate geographic areas was collected in 1996 (n = 898). Data were obtained from medical records. Multiple logistic regression was used to assess the use of recommended therapies.
RESULTS: Overall, 52% of NSCLC patients received recommended therapy. Approximately 69%, 48%, and 41% of patients with stages I and II, III, or IV NSCLC received recommended therapy, respectively. For all stages combined, the use of recommended therapy was significantly inversely associated with age and stage at diagnosis. Recommended therapy also was more common in white versus black patients, and in married versus single patients. Stage-specific analyses revealed a significant decline in the use of recommended surgery with increasing age at diagnosis for early-stage NSCLC only, and a significantly lower use of recommended therapy (primarily chemoradiotherapy) for stage III black and Hispanic patients compared with white patients.
CONCLUSION: The overall use of recommended therapies for NSCLC is low. Large variations exist in the use of such therapies according to age, race or ethnicity, and marital status. Research combining medical record reviews with other sources of data is needed to better understand the contributions of both patient preferences and physician judgment to these treatment variations.

Entities:  

Mesh:

Year:  2004        PMID: 15310770     DOI: 10.1200/JCO.2004.02.051

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  43 in total

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Authors:  Ramzi G Salloum; Thomas J Smith; Gail A Jensen; Jennifer Elston Lafata
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2.  Retrospective review of cancer patients > or =80 years old treated with chemotherapy at a comprehensive cancer center.

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Journal:  J Oncol Pract       Date:  2011-11       Impact factor: 3.840

4.  Survival and treatment patterns in elderly patients with advanced non-small-cell lung cancer in Manitoba.

Authors:  C L Baunemann Ott; N Ratna; R Prayag; Z Nugent; K Badiani; S Navaratnam
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5.  The Victorian Lung Cancer Registry pilot: improving the quality of lung cancer care through the use of a disease quality registry.

Authors:  Rob G Stirling; S M Evans; P McLaughlin; M Senthuren; J Millar; J Gooi; L Irving; P Mitchell; A Haydon; J Ruben; M Conron; T Leong; N Watkins; J J McNeil
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Review 6.  Lung cancer care: the impact of facilities and area measures.

Authors:  Christopher S Lathan
Journal:  Transl Lung Cancer Res       Date:  2015-08

7.  Gender-specific differences in care-seeking behaviour among lung cancer patients: a systematic review.

Authors:  Rezwanul Hasan Rana; Fariha Alam; Khorshed Alam; Jeff Gow
Journal:  J Cancer Res Clin Oncol       Date:  2020-04-03       Impact factor: 4.553

8.  Surveillance Practice Patterns after Curative Intent Therapy for Stage I Non-Small-Cell Lung Cancer in the Medicare Population.

Authors:  Christopher T Erb; Kevin W Su; Pamela R Soulos; Lynn T Tanoue; Cary P Gross
Journal:  Lung Cancer       Date:  2016-07-19       Impact factor: 5.705

9.  Cost disparities in lung cancer treatment by disability status, sex, and race.

Authors:  Thomas N Chirikos; Richard G Roetzheim; Ellen P McCarthy; Lisa I Iezzoni
Journal:  Disabil Health J       Date:  2008-04       Impact factor: 2.554

10.  Disparities in the treatment and outcomes of lung cancer among HIV-infected individuals.

Authors:  Gita Suneja; Meredith S Shiels; Sharon K Melville; Melanie A Williams; Ramesh Rengan; Eric A Engels
Journal:  AIDS       Date:  2013-01-28       Impact factor: 4.177

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