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Perimbeti, Stuthi

Mayo Clinic

Pennsylvania State University

Citations 4

Career transitions and practice patterns among international medical graduates in oncology workforce: A US nationwide analysis.
Tang, Yixin , Neupane, Karun , Larijani, Fatemeh Ardeshir, Lee, Alfred Ian , Gandhi, Shipra, Dizman, Nazlı , Perimbeti, Stuthi, Jiang, Changchuan , Xing, Jiazhang , Wang, Qian , Lu, Chuan Angel , Chen, Fangyuan , Roy, Arya Mariam , Deng, Lei , Bekaii‐Saab, Tanios , Aggarwal, Charu , Owonikoko, Taofeek Kunle , Chávez‐MacGregor, Mariana , Bakouny, Ziad , Gandhi, Shipra , Choueiri, Toni K.

Journal of Clinical Oncology | May 28, 2025 | Volume: 43 | Issue: 16_suppl | Pages: 9009-9009

10.1200/jco.2025.43.16_suppl.9009 Get It

9009 Background: International Medical Graduates (IMGs) are a vital component of the US oncology workforce, representing nearly half of practicing medical oncologists. However, systemic barriers may influence their career trajectories differently. Understanding these challenges is essential for addressing workforce disparities and optimizing cancer care delivery across diverse geographic regions. Methods: We conducted a cross-sectional study of 13,497 medical oncologists using the 2024 Dec CMS Provider Dataset linked with the 2023 Rural-Urban Continuum Codes (RUCC). Medical oncologists were identified by their self-reported primary specialties, including Hematology/Oncology, Medical Oncology, and Hematopoietic Cell Transplant. Physicians were categorized by graduation origin (based on their self-reported medical school), career stage (early: 0–10 years, mid: 11–30 years, late: >30 years post-medical school graduation). The primary outcomes included practice at Main Campus of NCI Designated Cancer Centers (as an indicator of academic practice) and the geographical location of their practice (Metro, Non-Metro, Mixed). We employed chi-squared tests for statistical comparisons and performed stratified analyses by career stage to evaluate transition patterns over time. Results: 6920 IMGs constituted 48.7% of the oncology workforce, with similar gender distributions between IMG and non-IMG oncologists (37.9% vs 36.5% female, p=0.068). Notably, early career oncologists were less likely to be IMGs (IMG vs non-IMGs: 8.2% vs 12.5%, p<0.001). Compared to Non-IMGs, IMG oncologists are less likely to practice at main campuses of NCI Center (19.9% vs. 27.7%, p<0.001), especially as their career advances (all p<0.01). (Table). IMGs had higher representation in non-metropolitan areas than non-IMGs (11.4% vs 9.1%, p<0.001), particularly in late-career stages (14.7% vs 12.3%, p=0.033), indicating their unique role in serving underserved regions. (Table). Conclusions: Our findings reveal that, IMGs are less likely to practice at main campuses of NCI-Cancer Center than their non-IMG colleagues. Meanwhile, IMG oncologists are disproportionately serving rural communities. Supporting IMG pathways in oncology is critical to ensure a balanced cancer care delivery across the United States. Practice setting distribution and academic affiliation among international medical graduates (IMGs) and US graduates (USGs) by career stage. IMG (N=6,577) Non-IMG (N=6,920) IMG (N=6,577) Non-IMG (N=6,920) NCI Center Other NCI Center Other Metro Non-Metro/Mixed Metro Non-Metro/Mixed Total 19.9% 80.1% 27.7% 72.3% 88.6% 11.4% 90.9% 9.1% Career Stage Early (0-10y) 29.1% 70.9% 36.1% 63.9% 91.1% 8.9% 95.4% 4.6% Mid (11-30y) 21.3% 78.7% 28.8% 71.2% 90.1% 9.9% 91.6% 8.4% Senior (30+y) 15.0% 85.0% 22.0% 78.0% 85.3% 14.7% 87.7% 12.3%
Survival outcome of metastatic pulmonary sarcomatoid carcinoma in immunotherapy era: An NCDB analysis.
Perimbeti, Stuthi, Chen, Hongbin , Liu, Bolun , Jiang, Changchuan , Attwood, Kristopher M. , Deng, Lei

Journal of Clinical Oncology | June 28, 2024 | Volume: 42 | Issue: 16_suppl | Pages: 8555-8555

10.1200/jco.2024.42.16_suppl.8555 Get It

8555 Background: Pulmonary sarcomatoid carcinoma (PSC) is a rare subtype of non-small cell lung cancer (NSCLC), with historically poor outcome. Excellent response of metastatic PSC to immunotherapy was previously reported, but its outcome compared with other NSCLCs is unknown in the immunotherapy era. Methods: NCDB was queried for stage IV NSCLC diagnosed from 2016 to 2020. Patients who were treated with chemotherapy only or immunotherapy only in the first course of treatment were included. Log-rank was used for survival analysis and adjusted by cox regression for age, gender, race, academic/integrated center, insurance, and comorbidity. Results: A total of 37,617 patients were identified, including 201 PSCs and 37,416 other NSCLCs. Pleomorphic (54%) was the most common PSC subtype. There was significant interaction between the survival effect of treatment and histology (interaction p = 0.024). When treated with immunotherapy alone, no significant difference was found between PSC and other NSCLCs (median survival 11.4 vs 12.4 months, logrank p = 0.56, HR 1.02, 95% CI 0.81 – 1.30). However, when treated with chemotherapy alone, PSC remained significantly associated with worse survival (median survival 4.5 vs. 8.5 months, logrank p <0.001, HR 0.67, 95% CI 0.54 – 0.83). Among PSC subtypes, spindle/giant cell PSCs were more likely to benefit from immunotherapy alone than pleomorphic PSCs (interaction p = 0.005), when compared with chemotherapy (Spindle/giant cell subtype: HR 0.24, 95% CI 0.14 – 0.42; Pleomorphic subtype: HR 0.60, 95% CI 0.37 – 0.99). Conclusions: Compared with other NSCLCs, PSC may not be associated with worse survival when treated with immunotherapy alone as it was when treated with chemotherapy. Distinct PSC subtypes may respond differently to immunotherapy and warrants further research. [Table: see text]
Association of Preoperative Chemosensitivity With Postoperative Survival in Patients With Resected Gastric Adenocarcinoma
Deng, Lei , Groman, Adrienne , Jiang, Changchuan , Perimbeti, Stuthi, Gabriel, Emmanuel , Kukar, Moshim , Mukherjee, Sarbajit , Gabriel, Emmanuel M , Deng, Lei

JAMA Network Open | November 19, 2021 | Volume: 4 | Issue: 11 | Pages: e2135340

10.1001/jamanetworkopen.2021.35340 Get It

Trends, burden, and impact of arrhythmia on cardiac amyloid patients: A 16‐year nationwide study from 1999 to 2014
Isath, Ameesh , Correa, Ashish , Siroky, Gregory P. , Perimbeti, Stuthi, Mohammed, Selma F. , Chahal, C. Anwar A. , Padmanabhan, Deepak , Mehta, Davendra, Chahal, Choudhary Anwar A

Journal of Arrhythmia | June 11, 2020 | Volume: 36 | Issue: 4 | Pages: 727-734

10.1002/joa3.12376 Get It

AbstractBackgroundPatients with cardiac amyloidosis (CA) have increased mortality, which can be explained in part by an increased risk of arrhythmias. The burden of arrhythmias in CA, their predictors, and impact on in‐hospital outcomes remains unclear. The role of implantable cardioverter‐defibrillators (ICD) in this population is also uncertain.MethodsWe queried the National Inpatient Sample (NIS) using ICD‐9‐CM codes 277.39 and 425.7 to identify CA. Twelve common arrhythmias were extracted using appropriate, validated ICD‐9‐CM codes. ICD implantation was identified using procedure ICD‐9 codes 37.94 to 37.98, 00.51 and 00.54.ResultsThere were a total of 145,920 CA hospitalizations between 1999 and 2014 in the United States and 56,199 (38.5%) of them were associated with arrhythmias. The prevalence of arrhythmias remained relatively constant from 41.5% in 1999 to 40.2% in 2014. The most common arrhythmia was atrial fibrillation (25.4%). In‐patient mortality was significantly higher in CA patients with arrhythmias (10.4% vs 6.5%, P < .001). ICD implantation was performed in 1,381 (0.94%) patients with CA and analysis revealed an incremental trend in implantation over the study period (0.48% in 1999 to 0.65% in 2014). In‐hospital mortality was significantly lower in patients who underwent ICD implantation (3.7% vs 8%; P = .0078). CA patients with arrhythmias also had an increased cost of hospitalization and length of stay ($65,046 ± 1,079 vs $53,322 ± 687 and 8.3 ± 0.1 vs 7.4 ± 0.1 days, respectively; P < .0001).ConclusionCardiac arrhythmias are common in patients with CA and are associated with worse in‐hospital outcomes, increased length of stay, and cost of hospitalization.