Q
Quanwu Zhang
Researcher at Rutgers University
Publications - 35
Citations - 452
Quanwu Zhang is an academic researcher from Rutgers University. The author has contributed to research in topics: Medicine & Disease. The author has an hindex of 9, co-authored 10 publications receiving 347 citations. Previous affiliations of Quanwu Zhang include Veterans Health Administration & United States Department of Veterans Affairs.
Papers
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Journal ArticleDOI
Changes in Immune Parameters Seen in Gulf War Veterans but Not in Civilians with Chronic Fatigue Syndrome
Quanwu Zhang,Xia-Di Zhou,Thomas N. Denny,John E. Ottenweller,Gudrun Lange,John J. LaManca,Marc H. Lavietes,Claudia Pollet,William C. Gause,Benjamin H. Natelson +9 more
TL;DR: Service in the Persian Gulf is associated with an altered immune status in veterans who returned with severe fatiguing illness, and veterans with CFS had significantly higher levels of IL-2, IL-10, IFN-γ, and TNF-α than the controls.
Journal ArticleDOI
Immunological response in chronic fatigue syndrome following a graded exercise test to exhaustion.
John J. LaManca,Sue Ann Sisto,Sue Ann Sisto,Xia Di Zhou,John E. Ottenweller,Sean Cook,Arnold Peckerman,Quanwu Zhang,Thomas N. Denny,William C. Gause,Benjamin H. Natelson +10 more
TL;DR: The immune response of chronic fatigue syndrome patients to exhaustive exercise is not significantly different from that of healthy nonphysically active controls and the patients' fatigue levels after exercise are not significantly increased.
Journal ArticleDOI
Alzheimer’s Disease: Epidemiology and Clinical Progression
TL;DR: A review of the recent literature on the epidemiology of Alzheimer's disease and its progression was conducted by as discussed by the authors , who conducted a review of PubMed-indexed literature (2014-2021) in North America, Europe and Asia.
Performance Status of Health Care Facilities Changes With Risk Adjustment
Quanwu Zhang,Monika M. Safford,John E. Ottenweller,Denis Repke,James F. B Urgess,Sunil K. Dhar,Herbert Naito,Leonard M. Pogach +7 more
TL;DR: Although the findings are exploratory, risk adjustment using administrative data may be a necessary and achievable step in quality assessment of diabetes care measured by rates of high-risk HbA1c (>9.5%).
Journal ArticleDOI
Performance status of health care facilities changes with risk adjustment of HbA1c.
Quanwu Zhang,Monika M. Safford,Monika M. Safford,John E. Ottenweller,John E. Ottenweller,G. Hawley,G. Hawley,Denis Repke,James F. Burgess,Sunil K. Dhar,Hsiaofen Cheng,H. Naito,Leonard M. Pogach,Leonard M. Pogach +13 more
TL;DR: In this article, a risk adjustment method for HbA1c, based solely on administrative data and to determine the extent to which risk-adjusted HC1c changes the identification of high or low performing medical facilities was developed.