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Singh, Rohit

https://orcid.org/0000-0003-2740-9386

Mayo Clinic

University of Vermont Medical Center

Citations 4

Modifiable Risk Factors and Attributable Ischemic Heart Disease Mortality in US States, 1990-2023
Benziger, Catherine P., Stark, Benjamin A., Johnson, Catherine O., Roth, Gregory A., Collaborators, GBD 2023 US IHD, Abohashem, Shady, Ahmed, Syed Anees, Al-Aly, Ziyad, Alsabri, Mohammed A., Antony, Catherine M., Aravkin, Aleksandr Y., Areda, Demelash, Bell, Michelle L., Brauer, Michael, Chi, Gerald, Criqui, Michael H., Dai, Xiaochen, Doshi, Ojas Prakashbhai, Doshi, Rajkumar Prakashbhai, E’mar, Abdel Rahman, Elhadi, Muhammed, Göbölös, Laszlo, Haile, Demewoz, Hebert, Jeffrey J., Hemmati, Mehdi, Ibrahim, Ramzi, Kankam, Samuel Berchi, Kantar, Rami S., Khubchandani, Jagdish, Kim, Min Seo, Kimokoti, Ruth W., Kisa, Adnan, Kokkorakis, Michail, Kumar, Ashish, Liu, Xuefeng, Lv, Lei, Mahmoudi, Morteza, Manla, Yosef, Martinez-Piedra, Ramon, Marzouk, Sammer, Mensah, George A., Mestrovic, Tomislav, Miller, Ted R., Mokdad, Ali H., Mougin, Vincent, Mustafa, Ahmad, Nassar, Mahmoud, Natto, Zuhair S., Nugen, Fred, Parikh, Romil R., Pasovic, Maja, Patil, Shankargouda, Puvvula, Jagadeesh, Ramasamy, Shakthi Kumaran, Rashid, Ahmed Mustafa, Root, Kevin T., Sawhney, Monika, Schuermans, Art, Shariff, Mariam, Shuval, Kerem, Simegn, Gizeaddis Lamesgin, Singh, Rohit, Stafford, Lauryn K., Taiba, Jabeen, Tanwar, Manoj, Teramoto, Masayuki, Thirunavukkarasu, Sathish, Tran, Thang Huu, Uppal, Dipan, Vinayak, Manish, Yuce, Deniz, Murray, Christopher J. L., Moran, Andrew E., Kimokoti, Ruth W , Liu, Xuefeng , Nassar, Mahmoud , Singh, Rohit , Tanwar, Manoj , Yu, Hairui , Taiba, Jabeen , Benziger, Catherine P. , Stark, Benjamin, Johnson, Catherine O., Roth, Gregory A. , Collaborators, GBD, Abohashem, Shady , Al‐Aly, Ziyad , Antony, Catherine M, Aravkin, Aleksandr Y. , Areda, Demelash, Bräuer, Michael , Chi, Gerald , Criqui, Michael H. , Doshi, Ojas Prakashbhai , Doshi, Rajkumar , E’mar, Abdel Rahman, Elhadi, Muhammed, Göbölös, László , Haile, Demewoz , Hébert, Jeffrey J. , Hemmati, Mehdi , Ibrahim, Ramzi , Kankam, Samuel Berchi , Kantar, Rami S. , Khubchandani, Jagdish , Kısa, Adnan , Kokkorakis, Michail , Lv, Lei , Mahmoudi, Morteza , Manla, Yosef , Martínez, Ramón , Marzouk, Sammer , Mensah, George A. , Meštrović, Tomislav , Miller, Ted R. , Mokdad, Ali H. , Mougin, Vincent , Mustafa, Ahmad , Nassar, Mahmoud, Nugen, Fred , Pasovic, Maja , Puvvula, Jagadeesh , Rashid, Ahmed Mustafa , Root, Kevin T., Sawhney, Monika, Schuermans, Art , Shariff, Mariam , Shuval, Kerem , Simegn, Gizeaddis Lamesgin , Stafford, Lauryn K , Teramoto, Masayuki , Thirunavukkarasu, Sathish, Uppal, Dipan , Vinayak, Manish , Yuce, Deniz, Murray, Christopher J. L., Moran, Andrew Edward

JAMA Cardiology | July 15, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1001/jamacardio.2026.2435 Get It

Importance Ischemic heart disease (IHD), the leading cause of death in the US, is predominantly due to modifiable risk factors. Estimates of IHD mortality attributable to risk factors provide evidence for health policy decision-making. Objective To estimate the burden of IHD death attributable to risk factors in the US from 1990-2023. Design, Setting, and Participants The Global Burden of Disease Study 2023 (GBD 2023) used vital records and a broad set of epidemiologic data to estimate IHD death rates, risk factor exposure, and relative risk curves for risk-outcome pairs for 1990-2023 for the general population. Data analysis was performed from October 2024 to December 2025. Exposure Twelve metabolic, behavioral, and environmental risk factors. Main Outcomes and Measures The primary outcomes were IHD death rates per 100 000 persons, counts, and attributable risks from 1990-2023 by age, sex, and US state. Estimates include 95% uncertainty intervals (UI). IHD death rates were estimated using ensemble modeling methods. Risk exposures were estimated using bayesian meta-regression methods. Relative risks were estimated following the Burden of Proof framework. Results In 2023, there were 473 000 IHD deaths (95% UI, 414 000-510 000) in the US, a decrease of 58.7% (95% UI, 56.8%-61.0%) in age-standardized rate since 1990. Between 2010 and 2023, there was a 19.0% decrease (95% UI, 15.0%-22.9%) for males and a 24.5% decrease (95% UI, 20.3%-29.7%) for females in IHD death rates. High systolic blood pressure (SBP), dietary risks, and high low-density lipoprotein cholesterol (LDL-C) were the leading risk factors for IHD deaths in 2023, accounting for 47.2% (95% UI, 36.4%-57.0%), 38.6% (95% UI, 17.2%-56.8%), and 28.5% (95% UI, 19.3%-39.6%) of IHD deaths, respectively. Increased exposure to several risk factors substantially increased their attributable burden for IHD deaths in 2023, with high fasting plasma glucose (FPG) increasing 38.8% (95% UI, 11.5%-81.1%) and high body mass index (BMI) increasing 54.5% (95% UI, 41.8%-66.3%) since 1990. Smoking and particulate matter pollution had the greatest decrease in attributable IHD mortality since 1990, at 33.3% (95% UI, 23.6%-41.7%) and 74.9% (95% UI, 46.7%-88.8%), respectively. Conclusion and Relevance Per the results of this systematic analysis of GBD 2023, a total of 88.7% (95% UI, 83.4%-92.5%) of IHD deaths were attributable to modifiable risk factors in the US in 2023, with high SBP, dietary risks, and high LDL-C being the greatest contributors. High BMI and high FPG showed the largest attribution increases, while exposure to other risks did not increase significantly for the population.
Skeletal-related event impact on prostate cancer mortality in the older population in the US: A 24-year trend regression analysis.
Bagga, Arindam, Pustake, Manas, Kakarala, Chandra , Ammakola, Yagnapriya, Sharma, Anuj, Batra, Nitya, Gandicheruvu, Haritha, Chitkara, Akshit , Mishra, Rahul, Sukaina, Mahnoor , Bagga, Amrita , Pustake, Manas Vaibhav , Ghose, Aruni , Ammakola, Yagnapriya, Ganiyani, Mohammad Arfat , Khosla, Atulya Aman , Garje, Rohan , Singh, Rohit , Jatwani, Karan

Journal of Clinical Oncology | March 2, 2026 | Volume: 44 | Issue: 7_suppl | Pages: 58-58

10.1200/jco.2026.44.7_suppl.58 Get It

58 Background: Skeletal-related events (SREs) are a common cause of morbidity and mortality in metastatic castration-resistant prostate cancer (mCRPC). These complications are managed using bone-modifying agents (BMAs), radiation therapy, and surgery, and lead to diminished quality of life irrespective of their castration status. We sought to evaluate the mortality trends for patients with PC and SREs in patients of >65 years from 1999 to 2023 using the CDC WONDER (Wide-ranging Online Data for Epidemiologic Research) database. Methods: The database was searched from January 1, 1999, to December 31, 2023. Mortality trends were assessed by identifying prostate cancer international classification of diseases-10th revision code (ICD-10 code C61) as the underlying cause of death in individuals aged >65 years, and (SREs) as contributing causes using the following ICD-10 codes: S02, S12, S22, S32, S42, S52, S62, S82, S92, T02, T08, T10, T12, T14.2, Y93.2, E55, M80, M81, M84.4. Joinpoint 5.0 software was used to analyze mortality trends. Results: From 1999 to 2023, a total of 3,231 deaths were reported. Trend analysis revealed a decline in overall mortality from 1999 to 2014, with an annual percentage change (APC) of -1.60 (CI: -2.6, -0.5; p = 0.005), followed by a significant increase in mortality from 2015 to 2023, with an APC of 5.30 (p = 0.0001). When stratified by age, individuals aged 65-69 showed an insignificant decline in mortality over the entire study period. For those aged 70-74, mortality significantly decreased from 1999 to 2014 (APC: -3.02, CI: -5.0, -0.9; p = 0.008), but experienced an exponential increase from 2014 to 2023 (APC: 14.07, CI: 8.7, 19.6; p = 0.00005). In the 75-79 age group, mortality significantly decreased from 1999 to 2011 (APC: -5.6, CI: -9.5, -1.6; p = 0.0091), followed by a robust increase from 2011 to 2023 (APC: 7.06, CI: 2.7, 11.5; p = 0.002). For individuals aged >80 years, the trend showed an insignificant decline in mortality from 1999 to 2023 (APC: -0.260, CI: -0.8, 0.3; p = 0.380). Conclusions: Our study revealed significant trends in prostate cancer mortality attributable to SREs, contributing to a sharp increase from 2015 to 2023. Age-stratified analysis revealed that substantial mortality is reported in patients aged 70-79, with the most pronounced rise occurring after 2014. These findings emphasize the growing burden of SREs in older prostate cancer patients, underscoring the need for targeted interventions along with a focus on patient-reported outcomes to improve survival and quality of life.
End-of-life care preferences in penile cancer patients: Shifting patterns and disparities over two decades.
Chahal, Rutvi, Ammakola, Yagnapriya, Pustake, Manas, Kakarala, Chandra , Batra, Nitya, Mishra, Rahul, Kumar, Madhan Srinivasan, Krishnan, Jayasree, Sukaina, Mahnoor , Chahal, Rutvi, Khosla, Atulya Aman , Ammakola, Yagnapriya, Pustake, Manas Vaibhav , Mishra, Rahul, Ghose, Aruni , Krishnan, Jayasree , Ganiyani, Mohammad Arfat , Singh, Rohit , Garje, Rohan , Jatwani, Karan

Journal of Clinical Oncology | March 2, 2026 | Volume: 44 | Issue: 7_suppl | Pages: 5-5

10.1200/jco.2026.44.7_suppl.5 Get It

5 Background: Penile cancer (PC) is often diagnosed late, which leads to advanced disease. Studies have reported that less than 18% of individuals with metastatic PC receive any kind of palliative therapy. Place of Death (PoD) is a crucial determinant of patient and caregiver preferences and the cost of caregiving at the end of life (EOL). We aimed to evaluate the trends in PoD for patients with PC in the U.S. from 2003 to 2023 based on the CDC WONDER (Wide-ranging Online Data for Epidemiologic Research) database. Methods: We analyzed data from January 01, 2003, to December 31, 2023. The data for deaths due to PC were pooled using the International Classification of Diseases-10th Revision code as C60 for malignant neoplasm of the penis. The inclusion criteria included patients aged > 25 years. PoD is defined as deaths at home and hospice (H&H) versus medical facilities. Average annual percentage change (AAPC) was calculated using the Joinpoint Regression Program, version 5.0.2. Results: The analysis demonstrated a total of n = 6,074 deaths from PC. A total of 52.1% of deaths, n = 3,167, were reported at H&H. The trend analysis demonstrates an exponential rise in H&H utilization from 34.4% in 2003 to 57.5% in 2023, AAPC [5.4284, CI (4.7-6.10, p < 0.000001]. A significant increase in the utilization of H&H is notable in both African Americans (AA), AAPC [2.8514, CI (1.0-4.7), p = 0.004], and the White population, AAPC [5.3497, CI (4.6-6.0); p < 0.000001]. However, a racial disparity is also noted, with 45.4% in AA, while the White population is at 52.5% deaths in H&H-based care. PC mortality in medical facilities has a 29.7% decline from 2003 to 2023. On age stratification, there was a significant increase in utilizing H&H as PoD for the 45-64 years cohort AAPC [4.29, CI (3.2, 5.2), p < 0.000001], similarly, with the older age group 65+ cohorts AAPC [6.26, CI (5.4, 7.0), p < 0.000001]. In contrast, the younger cohort deduced no significant trend AAPC [2.92, CI (-1.5, 7.6), p = 0.14]. Conclusions: This is the first study to our knowledge providing valuable insights into the evolving PoD preferences among PC patients in the U.S.The age-related trends underscore the importance of tailoring end-of-life care strategies to specific age cohorts. The findings emphasize the importance of policies promoting and supporting H&H care for PC patients. Targeted efforts are warranted to address notable disparities in PoD preferences among racial and age groups.
Racial disparities in the intervention trials in colon cancer.
Vyas, Abhinav, Kaur, Dania, Savani, Saloni , Yadav, Udit, Batra, Akshee , Shahzad, Moazzam , Singh, Rohit , Yadav, Udit , Mushtaq, Muhammad Umair

Journal of Clinical Oncology | May 29, 2024 | Volume: 42 | Issue: 16_suppl | Pages: e13718-e13718

10.1200/jco.2024.42.16_suppl.e13718 Get It

e13718 Background: Colorectal cancer (CRC) is the third-leading cancer worldwide and racial minorities bear a disproportionate burden of this disease. Methods: We searched the clinicaltrials.gov database for all the completed clinical trials conducted on adult patients until 2023 in the United States. In intervention trials, we manually abstracted data on the racial distribution of enrollees, phases, tumor histology, intervention type, and year of completion. We divided interventions into chemotherapy, radiotherapy, surgery, immunotherapy, behavioral, diagnostic tests, and others. To quantify the racial disparity, we calculated the enrolment ratio (ER) as the observed ratios of racial participation in the study compared to the prevalence in colorectal cancer per the 2009-2019 Surveillance, Epidemiology and End Results (SEER) database. We also conducted subgroup racial enrollment based on clinical trial and type of intervention. Results: We identified 394 studies, of which 252 studies (64%) had racial distribution published, including 138814 participants. Most studies were phase 2 trials (168), followed by phase 1/2 trials (49) and phase 3 studies (43). The racial breakdown included 88677 White participants (63.9%), 23230 were African Americans (16.7%), 9963 were Asians (7.1%), 4398 were of other races (3.2%), and 12546 were of unknown race (9.0%). The frequency of including racial data was 100% in Phase 1 studies, 56.5% in Phase 2, 58.1% in Phase 3, and only 16% in Phase 4. A total of 185 were immunotherapy trials, out of which 63 studied chemotherapies, radiotherapy and/ or surgery along with immunotherapy. Racial enrolment data was reported in 68.6 %, 58% and 59.3% in immunotherapy, chemotherapy, and radiotherapy interventions respectively. The ERs of whites, blacks, and Asians were 0.8, 1.3, and 0.9, respectively (Table). However, ER in subgroups with specific interventions, such as chemotherapy, immunotherapy, and radiotherapy, were 0.5, 0.4, and 0.6, respectively. Conclusions: African Americans are underrepresented in CRC intervention trials. Equal access and tailored strategies for cultural and linguistic differences are needed for fair participation. [Table: see text]