Renjian Jiang
Emory University
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Publication
Featured researches published by Renjian Jiang.
The Annals of Thoracic Surgery | 2015
Felix G. Fernandez; Onkar V. Khullar; Seth D. Force; Renjian Jiang; Allan Pickens; David H. Howard; Kevin C. Ward; Theresa W. Gillespie
BACKGROUND Hospital readmissions are costly and associated with inferior patient outcomes. There is limited knowledge related to readmissions after esophagectomy for malignancy. Our aim was to determine the impact on survival of readmission after esophagectomy. METHODS This cohort study utilizes Surveillance, Epidemiology, and End Results-Medicare data (2002 to 2009). Survival, length of stay, 30-day readmissions, and discharge disposition were determined. Multivariate logistic regression models were created to examine risk factors associated with readmission. RESULTS In all, 1,744 patients with esophageal cancer underwent esophagectomy: 80% of patients (1,390) were male, and mean age was 73 years; 71.8% of tumors (1,251) were adenocarcinomas, and 72.5% (1,265) were distal esophageal tumors; 38% of patients (667) received induction therapy. Operative approach was transthoracic in 52.6% of patients (918) and transhiatal in 37.4% (653), and required complex reconstruction (intestinal interposition) in 9.9% (173). Stage distribution was as follows: stage I, 35.3% (616); stage II, 32.5% (566); stage III, 27.9% (487); and stage IV, 2.3% (40). Median length of stay was 13 days, hospital mortality was 9.3% (158 patients), and 30-day readmission rate was 18.6% (212 of 1,139 home discharges); 25.4% of patients (443) were discharged to institutional care facilities. Overall survival was significantly worse for patients who were readmitted (p < 0.0001, log rank test). Risk factors for readmission were comorbidity score of 3+, urgent admission, and urban residence. CONCLUSIONS Hospital readmissions after esophagectomy for cancer occur frequently and are associated with worse survival. Improved identification of patients at risk for readmission after esophagectomy can inform patient selection, discharge planning, and outpatient monitoring. Optimization of such practices may lead to improved outcomes at reduced cost.
Cancer | 2016
Bree R. Eaton; Renjian Jiang; Mylin A. Torres; Shannon Kahn; Karen D. Godette; Timothy L. Lash; Kevin C. Ward
The purpose of the current study was to evaluate the impact of radiotherapy (RT) among women aged ≥ 70 years with T1‐2N0 estrogen receptor (ER)‐negative breast cancer using Surveillance, Epidemiology, and End Results (SEER)‐Medicare‐linked data.
Journal of Surgical Oncology | 2015
Onkar V. Khullar; Renjian Jiang; Seth D. Force; Allan Pickens; Manu S. Sancheti; Kevin C. Ward; Theresa W. Gillespie; Felix G. Fernandez
Our objective was to compare clinical outcomes, costs, and resource use based on operative approach, transthoracic (TT) or transhiatal (TH), for resection of esophageal cancer.
Journal of The American College of Radiology | 2017
Gelareh Sadigh; Ruth C. Carlos; Kevin C. Ward; Jeffrey M. Switchenko; Renjian Jiang; Kimberly E. Applegate; Richard Duszak
PURPOSE To assess breast cancer screening utilization in Medicare beneficiaries with colorectal and lung cancer versus cancer-free controls. METHODS Female fee-for-service Medicare beneficiaries who were ≥67 years old and diagnosed with lung or colorectal cancer between 2000 and 2011 and who reported to a Surveillance, Epidemiology, and End Results (SEER) registry (case group) were followed for 2 years after their diagnoses, unless death, a diagnosis of breast cancer, or the end of 2013 came first. A similar number of cancer-free controls were individually matched to cases by age, race, registry region, and follow-up time. Screening utilization was defined as the percentage of women with ≥1 screening mammogram during follow-up. RESULTS Overall, 104,164 cases (48% colorectal, 52% lung; 30% advanced cancer) and 104,164 controls were included. Among women with lung or colorectal cancer, 22% underwent ≥1 screening mammogram versus 26% of controls (odds ratio [OR] 0.80; 95% confidence interval [CI] 0.78-0.82). Stratified by cancer type, 28% of colorectal cancer cases versus 29% of controls (OR 0.98; 95% CI 0.95-1.01) and 17% of lung cancer cases versus 23% of controls (OR 0.63; 95% CI 0.60-0.65) received ≥1 mammogram. When stratified by stage, 8% with advanced cancer versus 18% of controls (OR 0.33; 95% CI 0.31-0.35) and 30% with early-stage cancer versus 30% of controls (OR 1; 95% CI 0.97-1.02) underwent ≥1 mammogram. CONCLUSION Screening mammography utilization rates are similar between Medicare beneficiaries with early-stage cancer versus controls. Although the majority of patients with advanced-stage cancer appropriately do not pursue screening mammography, a small number (8%) continue with screening.
Cancer | 2017
Richard J. Cassidy; Jeffrey M. Switchenko; En Cheng; Renjian Jiang; Jaymin Jhaveri; Kirtesh R. Patel; Daniel G. Tanenbaum; Maria C. Russell; Conor E. Steuer; Theresa W. Gillespie; Mark W. McDonald; Jerome C. Landry
Octogenarians and nonagenarians with stage II/III rectal adenocarcinomas are underrepresented in the randomized trials that have established the standard‐of‐care therapy of preoperative chemoradiation followed by definitive resection (ie, chemoradiation and then surgery [CRT+S]). The purpose of this study was to evaluate the impact of therapies on overall survival (OS) for patients with stage II/III rectal cancers and determine predictors of therapy within the National Cancer Data Base (NCDB).
Breast Cancer Research and Treatment | 2018
Xiaoxian Li; Yiran Zhang; Jane L. Meisel; Renjian Jiang; Madhusmita Behera; Limin Peng
BackgroundThe eighth edition of AJCC cancer staging manual incorporated biomarker status into the prognostic staging group (PSG). We used data from National Cancer Database (NCDB) to validate and improve the PSG.MethodsAll patients had surgery and at least some systemic treatment (endocrine therapy, chemotherapy or HER2 targeted therapy). Information from 420,520 patients was assessed for potential predictors of overall survival (OS), including age at diagnosis (age), tumor grade (G), hormonal receptor and HER2 status, and presence of lymph vascular invasion (LVI), stratified by stage or sub-stages. Based on the multivariate Cox analyses, we built different point systems to predict OS and evaluated the different point systems by Akaike’s information criterion (AIC), Harrell’s concordance index (C-index), and Uno’s concordance index.ResultsAge, G, hormonal receptor and HER2 status, LVI and being TNBC were significantly associated with OS (all P < 0.0001). Three staging systems were correlated with OS: system 1 was the conventional anatomic TNM staging; system 2 included TNM, age, G, hormonal receptor, HER2, and LVI; system 3 included TNM, age, G, TNBC versus non-TNBC, and LVI. System 3 (C-index; 0.7316; AIC: 488138.91) achieved the best balance between predictive performance and goodness-of-fit to the NCDB data as compared to system 2 (C-index: 0.7325; AIC: 498087.73) and system 1 (C-index: 0.716; AIC: 688536.49).ConclusionsThe new PSG is a better staging system than the conventional anatomic TNM system. Grouping breast cancer into TNBC versus non-TNBC may be simpler while retaining similar accuracy as using ER/PR/HER2 status to predict OS.
Head and Neck-journal for The Sciences and Specialties of The Head and Neck | 2016
David M. Marcus; Renjian Jiang; Kevin C. Ward; K.A. Higgins; Nabil F. Saba; J. Trad Wadsworth; Jonathan J. Beitler
Regional recurrence of differentiated thyroid cancer (DTC) is often salvaged with neck dissection without survival penalty. It is unknown whether recurrence may be associated with inferior survival in older patients.
The Annals of Thoracic Surgery | 2018
Renjian Jiang; Yuan Liu; Kevin C. Ward; Seth D. Force; Allan Pickens; Manu S. Sancheti; Jeffrey Javidfar; Felix G. Fernandez; Onkar V. Khullar
Journal of General Internal Medicine | 2018
Gelareh Sadigh; Richard Duszak; Kevin C. Ward; Renjian Jiang; Jeffrey M. Switchenko; Kimberly E. Applegate; Ruth C. Carlos
Journal of Clinical Oncology | 2018
Dave Gupta; Yuan Liu; Renjian Jiang; Felix G. Fernandez; Seth D. Force; Allan Pickens; Conor Ernst Steuer; Mark W. McDonald; K.A. Higgins; Jonathan J. Beitler; Suresh S. Ramalingam; Dong M. Shin; Taofeek K. Owonikoko; Nabil F. Saba