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Shehzad K. Niazi, Aaron Spaulding, Emily Brennan, Sarah K. Meier, Julia E. Crook, Lauren F. Cornell, Sikander Ailawadhi, Matthew M. Clark, and Teresa A. Rummans

Social Security Act) were invited to participate in the survey. The database contains information about hospital characteristics, services offered, and staffing, and responses are validated through review, comparison, and member checking by the AHA. 41

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Marissa B. Lawson, Christoph I. Lee, Daniel S. Hippe, Shasank Chennupati, Catherine R. Fedorenko, Kathleen E. Malone, Scott D. Ramsey, and Janie M. Lee

addition, we used the following ICD codes to identify patients with screening encounters: Z12.31, V76.11, and V76.12. Statistical Analysis We compared clinical and tumor characteristics between women diagnosed with cancer who received screening

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Jordan M. Cloyd, Chengli Shen, Heena Santry, John Bridges, Mary Dillhoff, Aslam Ejaz, Timothy M. Pawlik, and Allan Tsung

,500 Commission on Cancer–accredited facilities. Jointly sponsored by the American College of Surgeons and American Cancer Society, it currently captures more than 70% of newly diagnosed cancers within the United States. Relevant patient characteristics, tumor

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Lauren E. Kernochan and Rochelle L. Garcia

Edited by Kerrin G. Robinson

Carcinosarcoma of the uterus (malignant mixed Müllerian tumor [MMMT]) is an uncommon, typically extremely aggressive neoplasm histologically composed of malignant epithelial and mesenchymal (stromal) elements. Although the literature contains some debate, most authors now agree that most MMMTs derive from sarcomatous differentiation in a high-grade carcinoma. This article reviews the clinical and histopathologic features of this interesting neoplasm, with particular emphasis on recent data supporting MMMTs as primarily epithelial malignant neoplasms with areas of mesenchymal/spindle cell differentiation.

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Thi Thanh Tam Bui, Quoc Thang Pham, Dang Anh Thu Phan, Quoc Dat Ngo, Thanh Hai Phan, Thi Ngoc Ha Hua, and Sao Trung Nguyen

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Angela Pecoraro, Giuseppe Rosiello, Stefano Luzzago, Marina Deuker, Franciska Stolzenbach, Zhe Tian, Shahrokh F. Shariat, Fred Saad, Alberto Briganti, Anil Kapoor, Cristian Fiori, Francesco Porpiglia, and Pierre I. Karakiewicz

data can provide further detail regarding the distribution of patient and renal cell carcinoma (RCC) characteristics within this special patient group. Based on these considerations, we reexamined patients with RCC with T1a 0- to 2-cm renal tumors to

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Stephen R. Grant, Benjamin D. Smith, Lauren E. Colbert, Qunyh-Nhu Nguyen, James B. Yu, Steven H. Lin, and Aileen B. Chen

(1) assess the frequency of quality measure–concordant radiation for bone metastases as per NQF 1822; (2) describe variation in compliance by tumor, patient, and treatment characteristics; and (3) explore and consider the value, shortcomings, and

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Angel Qin, Songzhu Zhao, Abdul Miah, Lai Wei, Sandipkumar Patel, Andrew Johns, Madison Grogan, Erin M. Bertino, Kai He, Peter G. Shields, Gregory P. Kalemkerian, Shirish M. Gadgeel, Nithya Ramnath, Bryan J. Schneider, Khaled A. Hassan, Nicholas Szerlip, Zoey Chopra, Sara Journey, Jessica Waninger, Daniel Spakowicz, David P. Carbone, Carolyn J. Presley, Gregory A. Otterson, Michael D. Green, and Dwight H. Owen

approved by the Institutional Review Boards of both institutions. Patient demographics, disease characteristics (stage, histology, genomic alterations, metastatic burden [defined as the number of metastatic organ systems involved: 1, 2, ≥2]), treatment

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Grace E. McKay, Anna L. Zakas, Fauzia Osman, and Amanda Parkes

metastatic cancer at time of diagnosis, receipt of chemotherapy, and documentation of a genetics discussion with an oncology provider. Statistical Analysis Patient characteristics were recorded as percentages for categorical variables and as means and

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Lisa I. Iezzoni, Sowmya R. Rao, Nicole D. Agaronnik, and Areej El-Jawahri

) age at cancer diagnosis for persons with versus without preexisting disability, and (4) associations between cancer diagnosis and preexisting disability after adjusting for sociodemographic characteristics and selected risk factors. Methods Data We