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1.
Colorectal Dis ; 14(1): 48-55, 2012 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-21689262

RESUMO

AIM: The prognostic effects of chemotherapy and various lymph node measures [positive nodes, total node count and the positive lymph node ratio (PLNR)] have been established. It is unknown whether the cancer-specific survival benefit of chemotherapy differs across these nodal prognostic categories. METHOD: This retrospective analysis of linked Surveillance, Epidemiology and End Results (SEER) data and Medicare data (SEER-Medicare)included patients ≥ 65 years of age with a diagnosis of stage III colon cancer between 1997 and 2002. We grouped patients according to the number of positive nodes (N1 and N2), total node count (≥ 12 and < 12 total nodes) and PLNR (below the 75th percentile and at least at the 75th percentile of the PLNR). The end point was colon cancer-specific mortality. RESULTS: Fifty-one per cent (3701) of the 7263 patients received adjuvant therapy during the time period 1997-2002. The mean (standard deviation) number of total nodes examined was 13 (9) and the number of positive nodes identified was 3 (3). Patients with N2 disease, < 12 total nodes examined and a high PLNR had a worse survival at 2, 3 and 5 years following colectomy. Utilization of chemotherapy demonstrated a colon cancer-specific survival benefit (hazard ratio at median follow up = 0.7; P < 0.001) that was consistent and statistically significant across the three nodal prognostic categories examined. CONCLUSION: The benefit of chemotherapy did not vary based on N stage, total node count or PLNR. The results favour a broad-based approach towards increasing the chemotherapy treatment rates in stage III patients of ≥ 65 years of age, rather than an approach that targets clinical subgroups.


Assuntos
Quimioterapia Adjuvante , Neoplasias do Colo/tratamento farmacológico , Neoplasias do Colo/mortalidade , Idoso , Idoso de 80 Anos ou mais , Neoplasias do Colo/patologia , Feminino , Humanos , Metástase Linfática , Masculino , Medicare , Estadiamento de Neoplasias , Prognóstico , Modelos de Riscos Proporcionais , Estudos Retrospectivos , Programa de SEER , Análise de Sobrevida , Estados Unidos/epidemiologia
2.
J Womens Health Gend Based Med ; 10(8): 811-9, 2001 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-11703894

RESUMO

Estrogen replacement therapy (ERT) is used not only for the short-term control of menopausal symptoms but long-term for disease prevention. This study examined the influence of selected clinical conditions on the use of ERT and the duration of ERT use among women enrolled in a state Medicaid program. We identified 60,531 women, aged >/=45 years, who were enrolled in Maryland Medicaid continuously for at least 2 of 3 years. ERT use was determined through prescription claims submitted for reimbursement. The presence or risk of selected clinical conditions (e.g., osteoporosis, heart disease, estrogen-sensitive cancers) was determined by screening Medicaid claims files for related diagnoses, procedures, or prescription claims. Multiple logistic regression was used to model ERT use, and proportional hazards regression was used to model duration of use. Fourteen percent of these women filled an ERT prescription, with use varying by age, race, and place of residence. Oral dosage forms were the most popular (80.8%), followed by vaginal cream or ring (22.2%), and transdermal patch (7.3%). In adjusted models, osteoporosis, heart disease, hypertension, hyperlipidemia, diabetes, ovarian cancer, and thromboembolic disease were positively associated and dementia and breast cancer were negatively associated with ERT use. None of these medical conditions predicted the duration of estrogen therapy. Use of ERT was very low among these women despite coverage of prescription medications, and the presence of clinical indications had no influence on the length of therapy among these women despite known benefits for long-term preventive therapy.


Assuntos
Terapia de Reposição de Estrogênios/estatística & dados numéricos , Medicaid/estatística & dados numéricos , Idoso , Feminino , Nível de Saúde , Humanos , Modelos Logísticos , Maryland , Pessoa de Meia-Idade , Modelos de Riscos Proporcionais , Fatores Socioeconômicos , Fatores de Tempo , Estados Unidos
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