Kala Visvanathan
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Kala Visvanathan has a total of 1000 co-authors. Here are the top co-authors by number of shared publications:
- Loïc Le Marchand
Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, USA
125 shared publications - Ulrike Peters
Public Health Sciences Division, Fred Hutchinson Cancer Center Research Institute, Seattle, Washington
123 shared publications - Demetrius Albanes
Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, USA
121 shared publications - Sonja I. Berndt
Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, USA
119 shared publications - Neil Murphy
Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
111 shared publications - Graham G. Giles
Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Australia
107 shared publications
Latest Publications
- Open Access
Consumption of Processed Meat and Unprocessed Red Meat and Risk of Bladder Cancer: A Pooled Analysis of 30 Cohort Studies
Background: Processed meat and unprocessed red meat are considered carcinogenic and ‘probably carcinogenic’ to humans, respectively, but findings for bladder cancer remain inconsistent. Objectives: We assessed associations between processed meat and unprocessed red meat intake and bladder cancer risk using data from the Pooling Project of Prospective Studies of Diet and Cancer. Methods: Associations with bladder cancer risk were assessed using individual-level data from 30 cohort studies from North America, Europe, Australia and Asia. Diet was assessed at enrolment using validated food frequency questionnaires or diet histories. Following a pre-specified analysis plan, study- and sex-specific hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using Cox regression, adjusted for smoking status and duration and other potential confounders, and pooled using inverse-variance-weighted random-effects meta-analysis. Results: During median follow-up across cohorts of 8–29 years, among 2,575,971 participants, 20,780 were diagnosed with bladder cancer. Processed meat intake was associated with increased bladder cancer risk (HR comparing ≥40 with <5 g/day = 1.08; 95% CI: 1.02–1.15; HR per 20 g/day = 1.02; 95% CI: 1.00–1.03). Weaker evidence of association with increased risk was also observed for unprocessed red meat (HR comparing ≥100 with <20 g/day = 1.06; 95% CI: 1.00–1.13; HR per 50 g/day = 1.01; 95% CI: 0.99–1.03). There was no evidence of heterogeneity by study, sex, or region. Conclusions: Higher intakes of processed meat and unprocessed red meat were associated with a small increase in risk of bladder cancer. These findings are consistent with existing public health recommendations to limit consumption of red and processed meat.
Open AccessConsumption of Processed Meat and Unprocessed Red Meat and Risk of Bladder Cancer: A Pooled Analysis of 30 Cohort Studies
Background: Processed meat and unprocessed red meat are considered carcinogenic and ‘probably carcinogenic’ to humans, respectively, but findings for bladder cancer remain inconsistent. Objectives: We assessed associations between processed meat and unprocessed red meat intake and bladder cancer risk using data from the Pooling Project of Prospective Studies of Diet and Cancer. Methods: Associations with bladder cancer risk were assessed using individual-level data from 30 cohort studies from North America, Europe, Australia and Asia. Diet was assessed at enrolment using validated food frequency questionnaires or diet histories. Following a pre-specified analysis plan, study- and sex-specific hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using Cox regression, adjusted for smoking status and duration and other potential confounders, and pooled using inverse-variance-weighted random-effects meta-analysis. Results: During median follow-up across cohorts of 8–29 years, among 2,575,971 participants, 20,780 were diagnosed with bladder cancer. Processed meat intake was associated with increased bladder cancer risk (HR comparing ≥40 with <5 g/day = 1.08; 95% CI: 1.02–1.15; HR per 20 g/day = 1.02; 95% CI: 1.00–1.03). Weaker evidence of association with increased risk was also observed for unprocessed red meat (HR comparing ≥100 with <20 g/day = 1.06; 95% CI: 1.00–1.13; HR per 50 g/day = 1.01; 95% CI: 0.99–1.03). There was no evidence of heterogeneity by study, sex, or region. Conclusions: Higher intakes of processed meat and unprocessed red meat were associated with a small increase in risk of bladder cancer. These findings are consistent with existing public health recommendations to limit consumption of red and processed meat.
- Open Access
- 11 September 2026
- Published by Springer Nature in npj Breast Cancer
Assessing the prognostic utility of Oncotype Dx among patients with ER-low-positive breast cancer in the National Cancer Database (NCDB)
- 11 September 2026
- Published by Springer Nature in npj Breast Cancer
Open AccessAssessing the prognostic utility of Oncotype Dx among patients with ER-low-positive breast cancer in the National Cancer Database (NCDB)
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S5 from Alcohol Consumption Does not Modify the Polygenic Risk Score–Based Genetic Risk of Breast Cancer in Postmenopausal Women: Atherosclerosis Risk in Communities Study
Supplementary Figure S5: Natural logarithm hazard ratios of breast cancer for P-spline term scaled 313-SNP PRS with 4 degrees of freedom estimated by fully-adjusted Cox proportional hazards model stratified by alcohol consumption category among White women in ARIC (1990-2015)
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S5 from Alcohol Consumption Does not Modify the Polygenic Risk Score–Based Genetic Risk of Breast Cancer in Postmenopausal Women: Atherosclerosis Risk in Communities Study
Supplementary Figure S5: Natural logarithm hazard ratios of breast cancer for P-spline term scaled 313-SNP PRS with 4 degrees of freedom estimated by fully-adjusted Cox proportional hazards model stratified by alcohol consumption category among White women in ARIC (1990-2015)
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S6 from Alcohol Consumption Does not Modify the Polygenic Risk Score–Based Genetic Risk of Breast Cancer in Postmenopausal Women: Atherosclerosis Risk in Communities Study
Supplementary Figure S6: Natural logarithm hazard ratios of breast cancer for P-spline term scaled 313-SNP PRS with 4 degrees of freedom estimated by fully-adjusted Cox proportional hazards model stratified by alcohol consumption category among Black women in ARIC (1990-2015)
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S6 from Alcohol Consumption Does not Modify the Polygenic Risk Score–Based Genetic Risk of Breast Cancer in Postmenopausal Women: Atherosclerosis Risk in Communities Study
Supplementary Figure S6: Natural logarithm hazard ratios of breast cancer for P-spline term scaled 313-SNP PRS with 4 degrees of freedom estimated by fully-adjusted Cox proportional hazards model stratified by alcohol consumption category among Black women in ARIC (1990-2015)
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table S2 from Alcohol Consumption Does not Modify the Polygenic Risk Score–Based Genetic Risk of Breast Cancer in Postmenopausal Women: Atherosclerosis Risk in Communities Study
Supplementary Table S2: The association between 313-SNP PRS and breast cancer incidence stratified by maternal history of breast cancer and by race in ARIC (1990-2015)
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S2 from Alcohol Consumption Does not Modify the Polygenic Risk Score–Based Genetic Risk of Breast Cancer in Postmenopausal Women: Atherosclerosis Risk in Communities Study
Supplementary Table S2: The association between 313-SNP PRS and breast cancer incidence stratified by maternal history of breast cancer and by race in ARIC (1990-2015)
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S2 from Alcohol Consumption Does not Modify the Polygenic Risk Score–Based Genetic Risk of Breast Cancer in Postmenopausal Women: Atherosclerosis Risk in Communities Study
Supplementary Figure S2: Time-dependent coefficients of current ethanol intake for breast cancer incidence estimated by fully adjusted Cox proportional hazards model in ARIC (1990-2015)
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S2 from Alcohol Consumption Does not Modify the Polygenic Risk Score–Based Genetic Risk of Breast Cancer in Postmenopausal Women: Atherosclerosis Risk in Communities Study
Supplementary Figure S2: Time-dependent coefficients of current ethanol intake for breast cancer incidence estimated by fully adjusted Cox proportional hazards model in ARIC (1990-2015)
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table S4 from Alcohol Consumption Does not Modify the Polygenic Risk Score–Based Genetic Risk of Breast Cancer in Postmenopausal Women: Atherosclerosis Risk in Communities Study
Supplementary Table S4: The association between current ethanol intake and breast cancer incidence restricted to those had a health insurance, stratified by race in ARIC (1990-2015)
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S4 from Alcohol Consumption Does not Modify the Polygenic Risk Score–Based Genetic Risk of Breast Cancer in Postmenopausal Women: Atherosclerosis Risk in Communities Study
Supplementary Table S4: The association between current ethanol intake and breast cancer incidence restricted to those had a health insurance, stratified by race in ARIC (1990-2015)
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S1 from Alcohol Consumption Does not Modify the Polygenic Risk Score–Based Genetic Risk of Breast Cancer in Postmenopausal Women: Atherosclerosis Risk in Communities Study
Supplementary Figure S1: Time-dependent coefficients of scaled 313-SNP PRS for breast cancer incidence estimated by fully adjusted Cox proportional hazards model in ARIC (1990-2015)
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S1 from Alcohol Consumption Does not Modify the Polygenic Risk Score–Based Genetic Risk of Breast Cancer in Postmenopausal Women: Atherosclerosis Risk in Communities Study
Supplementary Figure S1: Time-dependent coefficients of scaled 313-SNP PRS for breast cancer incidence estimated by fully adjusted Cox proportional hazards model in ARIC (1990-2015)
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S3 from Alcohol Consumption Does not Modify the Polygenic Risk Score–Based Genetic Risk of Breast Cancer in Postmenopausal Women: Atherosclerosis Risk in Communities Study
Supplementary Figure S3: Natural logarithm hazard ratios of breast cancer for P-spline term scaled 313-SNP PRS with 4 degrees of freedom estimated by fully-adjusted Cox proportional hazards model in ARIC (1990-2015)
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S3 from Alcohol Consumption Does not Modify the Polygenic Risk Score–Based Genetic Risk of Breast Cancer in Postmenopausal Women: Atherosclerosis Risk in Communities Study
Supplementary Figure S3: Natural logarithm hazard ratios of breast cancer for P-spline term scaled 313-SNP PRS with 4 degrees of freedom estimated by fully-adjusted Cox proportional hazards model in ARIC (1990-2015)
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table S6 from Alcohol Consumption Does not Modify the Polygenic Risk Score–Based Genetic Risk of Breast Cancer in Postmenopausal Women: Atherosclerosis Risk in Communities Study
Supplementary Table S6: The association between current ethanol intake and breast cancer incidence stratified by whether the participants ever had a mammogram and by race in ARIC (1990-2015)
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S6 from Alcohol Consumption Does not Modify the Polygenic Risk Score–Based Genetic Risk of Breast Cancer in Postmenopausal Women: Atherosclerosis Risk in Communities Study
Supplementary Table S6: The association between current ethanol intake and breast cancer incidence stratified by whether the participants ever had a mammogram and by race in ARIC (1990-2015)