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Start Over Author "Simoff, Michael" Publisher american thoracic society
13 results on '"Simoff, Michael"'

1. Socioeconomic Status as a Mediator of Racial Disparity in Annual Lung Cancer Screening Adherence

Author

Kim, Roger Y., primary, Rendle, Katharine A, additional, Mitra, Nandita, additional, Saia, Chelsea A., additional, Neslund-Dudas, Christine, additional, Greenlee, Robert T., additional, Burnett-Hartman, Andrea N., additional, Honda, Stacey A, additional, Simoff, Michael J, additional, Schapira, Marilyn M., additional, Croswell, Jennifer M., additional, Meza, Rafael, additional, Ritzwoller, Debra P, additional, and Vachani, Anil, additional

Published
2022
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2. Racial Disparities in Adherence to Annual Lung Cancer Screening and Recommended Follow-Up Care: A Multicenter Cohort Study

Author

Kim, Roger Y., primary, Rendle, Katharine A., additional, Mitra, Nandita, additional, Saia, Chelsea A., additional, Neslund-Dudas, Christine, additional, Greenlee, Robert T., additional, Burnett-Hartman, Andrea N., additional, Honda, Stacey A., additional, Simoff, Michael J., additional, Schapira, Marilyn M., additional, Croswell, Jennifer M., additional, Meza, Rafael, additional, Ritzwoller, Debra P., additional, and Vachani, Anil, additional

Published
2022
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3. Socioeconomic Status as a Mediator of Racial Disparity in Annual Lung Cancer Screening Adherence.

Author

Kim, Roger Y., Rendle, Katharine A., Mitra, Nandita, Saia, Chelsea A., Neslund-Dudas, Christine, Greenlee, Robert T., Burnett-Hartman, Andrea N., Honda, Stacey A., Simoff, Michael J., Schapira, Marilyn M., Croswell, Jennifer M., Meza, Rafael, Ritzwoller, Debra P., and Vachani, Anil

Subjects
RACIAL inequality, EARLY detection of cancer, LUNG cancer, SOCIOECONOMIC status, HEALTH maintenance organizations, COLOR blindness, PULMONARY nodules
Abstract

The article discusses a retrospective study on lung cancer adults, and two urban healthcare systems with decentralized lung cancer screening (LCS) programs. Results show that Black patients receive annual LCS less often than White patients, but that among both Black and White patients, adherence improved with increasing degrees of socioeconomic status (SES). SES partially mediated the racial disparity in annual LCS adherence, with nearly 50% of the total effect.

Published
2023
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4. Comparing Smoking Cessation Interventions among Underserved Patients Referred for Lung Cancer Screening: A Pragmatic Trial Protocol

Author

Kohn, Rachel, primary, Vachani, Anil, additional, Small, Dylan, additional, Stephens-Shields, Alisa J., additional, Sheu, Dorothy, additional, Madden, Vanessa L., additional, Bayes, Brian A., additional, Chowdhury, Marzana, additional, Friday, Sadie, additional, Kim, Jannie, additional, Gould, Michael K., additional, Ismail, Mohamed H., additional, Creekmur, Beth, additional, Facktor, Matthew A., additional, Collins, Charlotte, additional, Blessing, Kristina K., additional, Neslund-Dudas, Christine M., additional, Simoff, Michael J., additional, Alleman, Elizabeth R., additional, Epstein, Leonard H., additional, Horst, Michael A., additional, Scott, Michael E., additional, Volpp, Kevin G., additional, Halpern, Scott D., additional, Hart, Joanna L., additional, Ferris, Andrea, additional, Fernandez, George, additional, Holm, Amanda, additional, Evers-Casey, Sarah, additional, Broder, Benjamin, additional, Hammock, Curt, additional, Yacobucci, Karen, additional, Clanton, M. Regina, additional, and Coffman, Ryan, additional

Published
2022
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5. A Prediction Model to Help with Oncologic Mediastinal Evaluation for Radiation: HOMER

Author

Martinez-Zayas, Gabriela, primary, Almeida, Francisco A., additional, Simoff, Michael J., additional, Yarmus, Lonny, additional, Molina, Sofia, additional, Young, Benjamin, additional, Feller-Kopman, David, additional, Sagar, Ala-Eddin S., additional, Gildea, Thomas, additional, Debiane, Labib G., additional, Grosu, Horiana B., additional, Casal, Roberto F., additional, Arain, Muhammad H., additional, Eapen, George A., additional, Jimenez, Carlos A., additional, Noor, Laila Z., additional, Baghaie, Shiva, additional, Song, Juhee, additional, Li, Liang, additional, and Ost, David E., additional

Published
2020
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7. A Prediction Model to Help with the Assessment of Adenopathy in Lung Cancer: HAL

Author

O’Connell, Oisin J., primary, Almeida, Francisco A., additional, Simoff, Michael J., additional, Yarmus, Lonny, additional, Lazarus, Ray, additional, Young, Benjamin, additional, Chen, Yu, additional, Semaan, Roy, additional, Saettele, Timothy M., additional, Cicenia, Joseph, additional, Bedi, Harmeet, additional, Kliment, Corrine, additional, Li, Liang, additional, Sethi, Sonali, additional, Diaz-Mendoza, Javier, additional, Feller-Kopman, David, additional, Song, Juhee, additional, Gildea, Thomas, additional, Lee, Hans, additional, Grosu, Horiana B., additional, Machuzak, Michael, additional, Rodriguez-Vial, Macarena, additional, Eapen, George A., additional, Jimenez, Carlos A., additional, Casal, Roberto F., additional, and Ost, David E., additional

Published
2017
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8. Diagnostic Yield and Complications of Bronchoscopy for Peripheral Lung Lesions. Results of the AQuIRE Registry

Author

Ost, David E., primary, Ernst, Armin, additional, Lei, Xiudong, additional, Kovitz, Kevin L., additional, Benzaquen, Sadia, additional, Diaz-Mendoza, Javier, additional, Greenhill, Sara, additional, Toth, Jennifer, additional, Feller-Kopman, David, additional, Puchalski, Jonathan, additional, Baram, Daniel, additional, Karunakara, Raj, additional, Jimenez, Carlos A., additional, Filner, Joshua J., additional, Morice, Rodolfo C., additional, Eapen, George A., additional, Michaud, Gaetane C., additional, Estrada-Y-Martin, Rosa M., additional, Rafeq, Samaan, additional, Grosu, Horiana B., additional, Ray, Cynthia, additional, Gilbert, Christopher R., additional, Yarmus, Lonny B., additional, and Simoff, Michael, additional

Published
2016
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9. A Prediction Model to Help with the Assessment of Adenopathy in Lung Cancer: HAL.

Author

O'Connell, Oisin J., Almeida, Francisco A., Simoff, Michael J., Yarmus, Lonny, Lazarus, Ray, Young, Benjamin, Yu Chen, Semaan, Roy, Saettele, Timothy M., Cicenia, Joseph, Bedi, Harmeet, Kliment, Corrine, Liang Li, Sethi, Sonali, Diaz-Mendoza, Javier, Feller-Kopman, David, Juhee Song, Gildea, Thomas, Lee, Hans, and Grosu, Horiana B.

Subjects
COMPARATIVE studies, LUNG cancer, LUNG tumors, LYMPH nodes, RESEARCH methodology, MEDICAL cooperation, METASTASIS, NEEDLE biopsy, RESEARCH, RESEARCH funding, EVALUATION research, PREDICTIVE tests, RETROSPECTIVE studies
Abstract

Rationale: Estimating the probability of finding N2 or N3 (prN2/3) malignant nodal disease on endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) in patients with non-small cell lung cancer (NSCLC) can facilitate the selection of subsequent management strategies.Objectives: To develop a clinical prediction model for estimating the prN2/3.Methods: We used the AQuIRE (American College of Chest Physicians Quality Improvement Registry, Evaluation, and Education) registry to identify patients with NSCLC with clinical radiographic stage T1-3, N0-3, M0 disease that had EBUS-TBNA for staging. The dependent variable was the presence of N2 or N3 disease (vs. N0 or N1) as assessed by EBUS-TBNA. Univariate followed by multivariable logistic regression analysis was used to develop a parsimonious clinical prediction model to estimate prN2/3. External validation was performed using data from three other hospitals.Measurements and Main Results: The model derivation cohort (n = 633) had a 25% prevalence of malignant N2 or N3 disease. Younger age, central location, adenocarcinoma histology, and higher positron emission tomography-computed tomography N stage were associated with a higher prN2/3. Area under the receiver operating characteristic curve was 0.85 (95% confidence interval, 0.82-0.89), model fit was acceptable (Hosmer-Lemeshow, P = 0.62; Brier score, 0.125). We externally validated the model in 722 patients. Area under the receiver operating characteristic curve was 0.88 (95% confidence interval, 0.85-0.90). Calibration using the general calibration model method resulted in acceptable goodness of fit (Hosmer-Lemeshow test, P = 0.54; Brier score, 0.132).Conclusions: Our prediction rule can be used to estimate prN2/3 in patients with NSCLC. The model has the potential to facilitate clinical decision making in the staging of NSCLC. [ABSTRACT FROM AUTHOR]

Published
2017
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11. Effectiveness and Safety of Bronchial Thermoplasty in the Treatment of Severe Asthma

Author

Castro, Mario, primary, Rubin, Adalberto S., additional, Laviolette, Michel, additional, Fiterman, Jussara, additional, De Andrade Lima, Marina, additional, Shah, Pallav L., additional, Fiss, Elie, additional, Olivenstein, Ronald, additional, Thomson, Neil C., additional, Niven, Robert M., additional, Pavord, Ian D., additional, Simoff, Michael, additional, Duhamel, David R., additional, McEvoy, Charlene, additional, Barbers, Richard, additional, ten Hacken, Nicolaas H.T., additional, Wechsler, Michael E., additional, Holmes, Mark, additional, Phillips, Martin J., additional, Erzurum, Serpil, additional, Lunn, William, additional, Israel, Elliot, additional, Jarjour, Nizar, additional, Kraft, Monica, additional, Shargill, Narinder S., additional, Quiring, John, additional, Berry, Scott M., additional, and Cox, Gerard, additional

Published
2010
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13. A Prediction Model to Help with Oncologic Mediastinal Evaluation for Radiation: HOMER.

Author

Martinez-Zayas, Gabriela, Almeida, Francisco A, Simoff, Michael J, Yarmus, Lonny, Molina, Sofia, Young, Benjamin, Feller-Kopman, David, Sagar, Ala-Eddin S, Gildea, Thomas, Debiane, Labib G, Grosu, Horiana B, Casal, Roberto F, Arain, Muhammad H, Eapen, George A, Jimenez, Carlos A, Noor, Laila Z, Baghaie, Shiva, Song, Juhee, Li, Liang, and Ost, David E

Abstract

Rationale: When stereotactic ablative radiotherapy is an option for patients with non-small cell lung cancer (NSCLC), distinguishing between N0, N1, and N2 or N3 (N2|3) disease is important.Objectives: To develop a prediction model for estimating the probability of N0, N1, and N2|3 disease.Methods: Consecutive patients with clinical-radiographic stage T1 to T3, N0 to N3, and M0 NSCLC who underwent endobronchial ultrasound-guided staging from a single center were included. Multivariate ordinal logistic regression analysis was used to predict the presence of N0, N1, or N2|3 disease. Temporal validation used consecutive patients from 3 years later at the same center. External validation used three other hospitals.Measurements and Main Results: In the model development cohort (n = 633), younger age, central location, adenocarcinoma, and higher positron emission tomography-computed tomography nodal stage were associated with a higher probability of having advanced nodal disease. Areas under the receiver operating characteristic curve (AUCs) were 0.84 and 0.86 for predicting N1 or higher (vs. N0) disease and N2|3 (vs. N0 or N1) disease, respectively. Model fit was acceptable (Hosmer-Lemeshow, P = 0.960; Brier score, 0.36). In the temporal validation cohort (n = 473), AUCs were 0.86 and 0.88. Model fit was acceptable (Hosmer-Lemeshow, P = 0.172; Brier score, 0.30). In the external validation cohort (n = 722), AUCs were 0.86 and 0.88 but required calibration (Hosmer-Lemeshow, P < 0.001; Brier score, 0.38). Calibration using the general calibration method resulted in acceptable model fit (Hosmer-Lemeshow, P = 0.094; Brier score, 0.34).Conclusions: This prediction model can estimate the probability of N0, N1, and N2|3 disease in patients with NSCLC. The model has the potential to facilitate decision-making in patients with NSCLC when stereotactic ablative radiotherapy is an option. [ABSTRACT FROM AUTHOR]

Published
2019
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