Browsing by Author "Smeltzer, Matthew P."

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    Survival impact of postoperative therapy modalities according to margin status in non–small cell lung cancer patients in the United States
    (Elsevier, 2017) Smeltzer, Matthew P.; Lin, Chun Chieh; Kong, Feng-Ming; Jemal, Ahmedin; Osarogiagbon, Raymond U.; Department of Radiation Oncology, IU School of Medicine
    Objective Unlike complete (R0) resection guidelines, current National Comprehensive Cancer Network (NCCN) adjuvant therapy guidelines after incomplete (R1/R2) resection of non–small cell lung cancer (NSCLC) are based on low-level evidence. We attempted to validate them. Methods Patients with pathologic stage I-IIIA NSCLC from 2004 to 2011 in the National Cancer Database were stratified by margin status, NCCN-specified stage groupings, and adjuvant therapy exposure (none, radiotherapy, chemotherapy, or both). Five-year overall survival (OS) and hazard ratios, adjusted for patient and institutional characteristics, were compared. We used a parallel analysis of R0 resections to validate our methodology. Results We analyzed 3461 R1/R2, and 78,979 R0 resections. After R0 resection, the NCCN-recommended option was associated with the best survival across all stage groups, supporting our analytic approach. Patients with R1/R2 stage IA treated with radiation had a 26% OS, compared with 58% with no treatment (P = .003). In patients with stage IB/IIA(N0) R1/R2, radiation was associated with a 25% OS compared with 47% with no treatment (P = .025) and 62% with chemotherapy (P < .007). Chemoradiation was not associated with a survival benefit in either group. Patients with IIA(N1)/IIB and IIIA had better survival with chemotherapy or chemoradiation. No group had a survival benefit with radiation alone. Conclusions NCCN adjuvant therapy guidelines after complete resection, based on high-level evidence, are validated, but not guidelines for patients with incompletely resected early-stage NSCLC, which are based on low-level evidence. Monomodality postoperative radiotherapy was not validated for any stage. Specific studies are needed to determine optimal management after incomplete resection.
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    Trajectory Analysis for Identifying Classes of Attention Deficit Hyperactivity Disorder (ADHD) in Children of the United States
    (Bentham Open, 2024-05-21) Lee, Yu-Sheng; Sprong, Matthew Evan; Shrestha, Junu; Smeltzer, Matthew P.; Hollender, Heaven; Health Sciences, School of Health and Human Sciences
    Background: Attention Deficit Hyperactivity Disorder (ADHD) is a mental health disorder that affects attention and behavior. People with ADHD frequently encounter challenges in social interactions, facing issues, like social rejection and difficulties in interpersonal relationships, due to their inattention, impulsivity, and hyperactivity. Methods: A National Longitudinal Survey of Youth (NLSY) database was employed to identify patterns of ADHD symptoms. The children who were born to women in the NLSY study between 1986 and 2014 were included. A total of 1,847 children in the NLSY 1979 cohort whose hyperactivity/inattention score was calculated when they were four years old were eligible for this study. A trajectory modeling method was used to evaluate the trajectory classes. Sex, baseline antisocial score, baseline anxiety score, and baseline depression score were adjusted to build the trajectory model. We used stepwise multivariate logistic regression models to select the risk factors for the identified trajectories. Results: The trajectory analysis identified six classes for ADHD, including (1) no sign class, (2) few signs since preschool being persistent class, (3) few signs in preschool but no signs later class, (4) few signs in preschool that magnified in elementary school class, (5) few signs in preschool that diminished later class, and (6) many signs since preschool being persistent class. The sensitivity analysis resulted in a similar trajectory pattern, except for the few signs since preschool that magnified later class. Children's race, breastfeeding status, headstrong score, immature dependent score, peer conflict score, educational level of the mother, baseline antisocial score, baseline anxious/depressed score, and smoking status 12 months prior to the birth of the child were found to be risk factors in the ADHD trajectory classes. Conclusion: The trajectory classes findings obtained in the current study can (a) assist a researcher in evaluating an intervention (or combination of interventions) that best decreases the long-term impact of ADHD symptoms and (b) allow clinicians to better assess as to which class a child with ADHD belongs so that appropriate intervention can be employed.