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Yu, Menggang

0000-0002-7904-3155

Mayo Clinic

Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin.

Citations 2

Relations of Current and Past Cancer with Severe Outcomes among 104,590 Hospitalized COVID-19 Patients: The COVID EHR Cohort at the University of Wisconsin
Piasecki, Thomas M. , Smith, Stevens S. , Baker, Timothy B. , Fiore, Michael C. , Adsit, Robert T. , Bolt, Daniel M. , Conner, Karen L. , Bernstein, Steven L. , Eng, Oliver S. , Lazuk, David , Gonzalez, Alec , Hayes-Birchler, Todd , Jorenby, Douglas E. , D’Angelo, Heather , Kirsch, Julie A. , Williams, Brian , Kent, Sean , Kim, Hanna , Lubanski, Stanley A. , Cai, Yuxin , Kashyap, Nitu , Mathew, Jomol , McMahan, Gabriel , Rolland, Betsy , Tindle, Hilary A. , Warren, Graham , Abu-el-rub, Noor , An, Lawrence C. , Boyd, Andrew D. , Brunzell, Darlene H., Carrillo, Victor A. , Chen, Li‐Shiun , Davis, James M. , Deshmukh, Vikrant , Dilip, Deepika , Ha, Patrick K. , Jose, Thulasee , Klass, Elizabeth , Lui, Michelle , Poon, Chester , Tong, Elisa K. , Wilson, Karen M. , Theobald, Wendy E. , Nolan, Margaret B , Piasecki, Thomas M , Smith, Stevens S , Baker, Timothy B , Fiore, Michael C , Adsit, Robert T , Bolt, Daniel M , Conner, Karen L , Bernstein, Steven L , Eng, Oliver , Lazuk, David , Gonzalez, Alec , Hayes-Birchler, Todd , Jorenby, Douglas E , D'Angelo, Heather , Kirsch, Julie A , Williams, Brian S , Kent, Sean , Kim, Hanna , Lubanski, Stanley A , Yu, Menggang , Suk, Youmi , Cai, Yuxin , Kashyap, Nitu , Mathew, Jomol , McMahan, Gabriel , Rolland, Betsy , Tindle, Hilary A , Warren, Graham W , Abu-El-Rub, Noor , An, Lawrence C , Boyd, Andrew D , Carrillo, Victor A , Chen, Li-Shiun , Davis, James M , Deshmukh, Vikrant G , Dilip, Deepika , Goldstein, Adam O , Ha, Patrick K , Iturrate, Eduardo , Jose, Thulasee , Khanna, Niharika , King, Andrea , Klass, Elizabeth , Lui, Michelle , Mermelstein, Robin J , Poon, Chester , Tong, Elisa , Wilson, Karen M , Theobald, Wendy E , Slutske, Wendy S , Nolan, Margaret , Yu, Menggang

Cancer Epidemiology, Biomarkers & Prevention | August 15, 2022 | Volume: 32 | Issue: 1 | Pages: 12-21

10.1158/1055-9965.epi-22-0500 Get It

Abstract Background: There is mixed evidence about the relations of current versus past cancer with severe COVID-19 outcomes and how they vary by patient and cancer characteristics. Methods: Electronic health record data of 104,590 adult hospitalized patients with COVID-19 were obtained from 21 United States health systems from February 2020 through September 2021. In-hospital mortality and ICU admission were predicted from current and past cancer diagnoses. Moderation by patient characteristics, vaccination status, cancer type, and year of the pandemic was examined. Results: 6.8% of the patients had current (n = 7,141) and 6.5% had past (n = 6,749) cancer diagnoses. Current cancer predicted both severe outcomes but past cancer did not; adjusted odds ratios (aOR) for mortality were 1.58 [95% confidence interval (CI), 1.46–1.70] and 1.04 (95% CI, 0.96–1.13), respectively. Mortality rates decreased over the pandemic but the incremental risk of current cancer persisted, with the increment being larger among younger vs. older patients. Prior COVID-19 vaccination reduced mortality generally and among those with current cancer (aOR, 0.69; 95% CI, 0.53–0.90). Conclusions: Current cancer, especially among younger patients, posed a substantially increased risk for death and ICU admission among patients with COVID-19; prior COVID-19 vaccination mitigated the risk associated with current cancer. Past history of cancer was not associated with higher risks for severe COVID-19 outcomes for most cancer types. Impact: This study clarifies the characteristics that modify the risk associated with cancer on severe COVID-19 outcomes across the first 20 months of the COVID-19 pandemic. See related commentary by Egan et al., p. 3
Surveillance Imaging vs Symptomatic Recurrence Detection and Survival in Stage II-III Breast Cancer (AFT-01)
Schumacher, Jessica R. , Neuman, Heather B. , Yu, Menggang , Vanness, David J. , Si, Yajuan , Burnside, Elizabeth S. , Ruddy, Kathryn J. , Schrag, Deborah , Edge, Stephen B. , Zhang, Ying , Jacobs, Elizabeth A. , Havlena, Jeffrey , Francescatti, Amanda B. , Winchester, David P., McKellar, Daniel P., Spears, Patricia A. , Kozower, Benjamin D. , Chang, George J. , Greenberg, Caprice C. , Group, for the Alliance ACS-CRP CCDR Breast Cancer Surveillance Working, Green, Bettye, Perlmutter, Jane , Berger, Elizabeth R. , Punglia, Rinaa S. , Chen, Ronald, Brys, Nicole, Schrag, Deborah , Burnside, Elizabeth S , Yu, Menggang , Partridge, Ann H. , Group, for the Alliance ACS-CRP CCDR Breast Cancer Surveillance Working, Ballman, Karla V. , Gavin, Patrick G. , Chen, Ronald C. , Adesoye, Taiwo

JNCI: Journal of the National Cancer Institute | August 1, 2022 | Volume: 114 | Issue: 10 | Pages: 1371-1379

10.1093/jnci/djac131 Get It

Abstract Background Guidelines for follow-up after locoregional breast cancer treatment recommend imaging for distant metastases only in the presence of patient signs and/or symptoms. However, guidelines have not been updated to reflect advances in imaging, systemic therapy, or the understanding of biological subtype. We assessed the association between mode of distant recurrence detection and survival. Methods In this observational study, a stage-stratified random sample of women with stage II-III breast cancer in 2006-2007 and followed through 2016 was selected, including up to 10 women from each of 1217 Commission on Cancer facilities (n = 10 076). The explanatory variable was mode of recurrence detection (asymptomatic imaging vs signs and/or symptoms). The outcome was time from initial cancer diagnosis to death. Registrars abstracted scan type, intent (cancer-related vs not, asymptomatic surveillance vs not), and recurrence. Data were merged with each patient’s National Cancer Database record. Results Surveillance imaging detected 23.3% (284 of 1220) of distant recurrences (76.7%, 936 of 1220 by signs and/or symptoms). Based on propensity-weighted multivariable Cox proportional hazards models, patients with asymptomatic imaging compared with sign and/or symptom detected recurrences had a lower risk of death if estrogen receptor (ER) and progesterone receptor (PR) negative, HER2 negative (triple negative; hazard ratio [HR] = 0.73, 95% confidence interval [CI] = 0.54 to 0.99), or HER2 positive (HR = 0.51, 95% CI = 0.33 to 0.80). No association was observed for ER- or PR-positive, HER2-negative (HR = 1.14, 95% CI = 0.91 to 1.44) cancers. Conclusions Recurrence detection by asymptomatic imaging compared with signs and/or symptoms was associated with lower risk of death for triple-negative and HER2-positive, but not ER- or PR-positive, HER2-negative cancers. A randomized trial is warranted to evaluate imaging surveillance for metastases results in these subgroups.