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The purpose of this study is to examine the effect of early incomplete follow-up on overall survival among stage I lung cancer patients. Patients with clinical stage I lung cancer at our institution between 2007 and 2016 were identified (N = 1111). Exclusions included < 18 years of age (N = 2), missing stage or demographics (N = 56), incomplete appointment data or had only one scheduled appointment (N = 351), or did not survive for at least 1 year after diagnosis (N = 120). Missed appointments were defined as unattended follow-up appointments within the first year of diagnosis without an attended appointment in the subsequent 60 days. The primary outcome was the hazard ratio (HR) for death associated per 10% increase in missed oncology follow-up appointments. Univariable and descriptive statistics were performed, and a multivariable landmark Cox regression model was created to examine the effect of missed oncology follow-up on survival. A total of 582 patients were analyzed with median follow-up of 3.2 years and median age of 69 years. On multivariable analysis controlling for age, sex, race, insurance status, and definitive treatment type the HR for death was 1.44 (95% CI 1.05-1.97) for every 10% increase in missed appointments. Incomplete oncologic follow-up may negatively impact overall survival among survivors of early-stage lung cancer.
Assuntos
Neoplasias Pulmonares , Estadiamento de Neoplasias , Humanos , Neoplasias Pulmonares/mortalidade , Neoplasias Pulmonares/patologia , Masculino , Feminino , Idoso , Pessoa de Meia-Idade , Seguimentos , Modelos de Riscos Proporcionais , Centros Médicos Acadêmicos , Idoso de 80 Anos ou mais , Perda de Seguimento , Estudos RetrospectivosRESUMO
PURPOSE: Heterotopic ossification (HO) is a potentially disabling disorder of ectopic bone formation secondary to orthopedic surgery or trauma. In this retrospective analysis we evaluated the outcomes of patients who received radiation therapy (RT) for HO prophylaxis. METHODS AND MATERIALS: A total of 287 patients who received RT for HO prophylaxis at a major trauma center from 2007 to 2018 were analyzed. Data collected included types of injury, surgery, time intervals between key events, development of postprophylaxis HO, and secondary malignancies. Associations between various factors and the risk of developing HO were analyzed. Kaplan-Meier analysis was used to estimate failure rates. RESULTS: The most common indication for RT was traumatic acetabular fracture (83.3%). Twelve patients (4.2%) developed postprophylaxis HO with a median time to failure of 8.6 months (2.8-24.5). Kaplan-Meier 1-, 2-, and 5-year failure rates were 3.7%, 4.4%, and 7.4%, respectively. Injury type and timing of RT were not associated with the risk of failure, but we observed a trend of increased risk of failure in patients with longer time between surgery and RT (odd ration [OR] 1.68, P = .056). Current or former smokers (51.7%) were less likely to fail (OR 0.10, P = .03). There was no incidence of in-field secondary malignancy. CONCLUSIONS: There was no significant association between injury and fracture type, surgical approach, or timing of RT and development of HO, contrary to published reports of increased HO risk with certain surgical approaches and longer time intervals between injury and surgery, suggesting that prophylactic RT might play a role in mitigating these effects. Decreased risk of postprophylaxis HO among former or current smokers was unexpected. No secondary malignancy in the RT field was identified, although the median follow-up was only 17 months. Compared with published HO incidences (17%-39%) in patients who receive no prophylaxis after traumatic acetabular fractures, our results are highly suggestive of the efficacy of prophylactic RT.
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Aim: To identify demographic predictors of patients who miss oncology follow-up, considering that missed follow-up has not been well studies in cancer patients. Methods: Patients with solid tumors diagnosed from 2007 to 2016 were analyzed (n = 16,080). Univariate and multivariable logistic regression models were constructed to examine predictors of missed follow-up. Results: Our study revealed that 21.2% of patients missed ≥1 follow-up appointment. African-American race (odds ratio [OR] 1.33; 95% CI: 1.17-1.51), Medicaid insurance (OR 1.59; 1.36-1.87), no insurance (OR 1.66; 1.32-2.10) and rural residence (OR 1.78; 1.49-2.13) were associated with missed follow-up. Conclusion: Many cancer patients miss follow-up, and inadequate follow-up may influence cancer outcomes. Further research is needed on how to address disparities in follow-up care in high-risk patients.
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Neoplasias/epidemiologia , Demografia , Feminino , Pesquisas sobre Atenção à Saúde , Disparidades em Assistência à Saúde , Humanos , Masculino , Medicaid , Neoplasias/diagnóstico , Neoplasias/terapia , Grupos Raciais/estatística & dados numéricos , Estados UnidosRESUMO
INTRODUCTION/BACKGROUND: Many patients with early stage non-small-cell lung cancer (ES-NSCLC) undergoing stereotactic body radiation therapy (SBRT) develop metastases, which is associated with poor outcomes. We sought to identify factors predictive of metastases after lung SBRT and created a risk stratification tool. MATERIALS AND METHODS: We included 363 patients with ES-NSCLC who received SBRT; the median follow-up was 5.8 years. The following patient and tumor factors were retrospectively analyzed for their association with metastases (defined as nodal and/or distant failure): gender; age; lobe involved; centrality; previous NSCLC; smoking status; gross tumor volume (GTV); T-stage; histology; dose; minimum, maximum, and mean GTV dose; and parenchymal lung failure. A metastasis risk-score linear-model using beta coefficients from a multivariate Cox model was built. RESULTS: A total of 111 (27.3%) of 406 lesions metastasized. GTV and dose were significantly associated with metastases on univariate and multivariate Cox proportional hazards modeling (P < .001 and hazard ratio [HR], 1.02 per mL; P < .05 and HR, 0.99 per Gy, respectively). Histology, T-stage, centrality, lung parenchymal failures, and previous NSCLC were not associated with development of metastasis. A metastasis risk-score model using GTV and prescription dose was built: risk score = (0.01611 × GTV) - (0.00525 × dose [BED10]). Two risk-score cutoffs separating the cohort into low-, medium-, and high-risk subgroups were examined. The risk score identified significant differences in time to metastases between low-, medium-, and high-risk patients (P < .001), with 3-year estimates of 81.1%, 63.8%, and 38%, respectively. CONCLUSION: GTV and radiation dose are associated with time to metastasis and may be used to identify patients at higher risk of metastasis after lung SBRT.