You are here

Biblio

Export 2168 results:
Author [ Title(Desc)] Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
P
Chatterjee R, Biggs ML, de Boer IH, Brancati FL, Svetkey LP, Barzilay J, Djoussé L, Ix JH, Kizer JR, Siscovick DS, et al. Potassium and glucose measures in older adults: the Cardiovascular Health Study. J Gerontol A Biol Sci Med Sci. 2015 ;70(2):255-61.
Strotmeyer ES, Kamineni A, Cauley JA, Robbins JA, Fried LF, Siscovick DS, Harris TB, Newman AB. Potential explanatory factors for higher incident hip fracture risk in older diabetic adults. Curr Gerontol Geriatr Res. 2011 ;2011:979270.
Elmer GW, Lafferty WE, Tyree PT, Lind BK. Potential interactions between complementary/alternative products and conventional medicines in a Medicare population. Ann Pharmacother. 2007 ;41(10):1617-24.
Graham SE, Clarke SL, Wu KH, Kanoni S, Zajac GJM, Ramdas S, Surakka I, Ntalla I, Vedantam S, Winkler TW, et al. {The power of genetic diversity in genome-wide association studies of lipids. Nature. 2021 ;600:675–679.
Zhang L, Samet J, Caffo B, Bankman I, Punjabi NM. Power spectral analysis of EEG activity during sleep in cigarette smokers. Chest. 2008 ;133(2):427-32.
Li X, Quick C, Zhou H, Gaynor SM, Liu Y, Chen H, Selvaraj MSunitha, Sun R, Dey R, Arnett DK, et al. Powerful, scalable and resource-efficient meta-analysis of rare variant associations in large whole genome sequencing studies. Nat Genet. 2023 ;55(1):154-164.
van Setten J, Brody JA, Jamshidi Y, Swenson BR, Butler AM, Campbell H, Del Greco FM, Evans DS, Gibson Q, Gudbjartsson DF, et al. PR interval genome-wide association meta-analysis identifies 50 loci associated with atrial and atrioventricular electrical activity. Nat Commun. 2018 ;9(1):2904.
Saxton J, Lopez OL, Ratcliff G, Dulberg C, Fried LP, Carlson MC, Newman AB, Kuller L. Preclinical Alzheimer disease: neuropsychological test performance 1.5 to 8 years prior to onset. Neurology. 2004 ;63(12):2341-7.
Mathenge N, Fan W, Wong ND, Hirsch C, Delaney CJoseph, Amsterdam EA, Koch B, Calara R, Gardin JM. Pre-diabetes, diabetes and predictors of incident angina among older women and men in the Cardiovascular Health Study. Diab Vasc Dis Res. 2020 ;17(1):1479164119888476.
Diehr P, Patrick DL, Bild DE, Burke GL, Williamson JD. Predicting future years of healthy life for older adults. J Clin Epidemiol. 1998 ;51(4):343-53.
Diehr P, Diehr M, Arnold A, Yee LM, Odden MC, Hirsch CH, Thielke S, Psaty BM, W Johnson C, Md JRKizer, et al. Predicting Future Years of Life, Health, and Functional Ability: A Healthy Life Calculator for Older Adults. Gerontol Geriatr Med. 2015 ;1:2333721415605989.
Ho JE, Enserro D, Brouwers FP, Kizer JR, Shah SJ, Psaty BM, Bartz TM, Santhanakrishnan R, Lee DS, Chan C, et al. Predicting Heart Failure With Preserved and Reduced Ejection Fraction: The International Collaboration on Heart Failure Subtypes. Circ Heart Fail. 2016 ;9(6).
Hirsch CHayes, Bůzková P, Robbins JA, Patel KV, Newman AB. Predicting late-life disability and death by the rate of decline in physical performance measures. Age Ageing. 2012 ;41(2):155-61.
Nguyen QDinh, Odden MC, Peralta CA, Kim DHyun. Predicting Risk of Atherosclerotic Cardiovascular Disease Using Pooled Cohort Equations in Older Adults With Frailty, Multimorbidity, and Competing Risks. J Am Heart Assoc. 2020 ;9(18):e016003.
Barnes DE, Covinsky KE, Whitmer RA, Kuller LH, Lopez OL, Yaffe K. Predicting risk of dementia in older adults: The late-life dementia risk index. Neurology. 2009 ;73(3):173-9.
Ibrahim-Verbaas CA, Fornage M, Bis JC, Choi SHoan, Psaty BM, Meigs JB, Rao M, Nalls M, Fontes JD, O'Donnell CJ, et al. Predicting stroke through genetic risk functions: the CHARGE Risk Score Project. Stroke. 2014 ;45(2):403-12.
Mukamal KJ, Kizer JR, Djoussé L, Ix JH, Zieman S, Siscovick DS, Sibley CT, Tracy RP, Arnold AM. Prediction and classification of cardiovascular disease risk in older adults with diabetes. Diabetologia. 2013 ;56(2):275-83.
de Weerd M, Greving JP, Hedblad B, Lorenz MW, Mathiesen EB, O'Leary DH, Rosvall M, Sitzer M, de Borst GJan, Buskens E, et al. Prediction of asymptomatic carotid artery stenosis in the general population: identification of high-risk groups. Stroke. 2014 ;45(8):2366-71.
McGeechan K, Liew G, Macaskill P, Irwig L, Klein R, Klein BEK, Wang JJin, Mitchell P, Vingerling JR, de Jong PTVM, et al. Prediction of incident stroke events based on retinal vessel caliber: a systematic review and individual-participant meta-analysis. Am J Epidemiol. 2009 ;170(11):1323-32.
Sussman JB, Whitney RT, Burke JF, Hayward RA, Galecki A, Sidney S, Allen NBai, Gottesman RF, Heckbert SR, Longstreth WT, et al. Prediction of Multiple Individual Primary Cardiovascular Events Using Pooled Cohorts. medRxiv. 2023 .
Lorenz MW, Gao L, Ziegelbauer K, Norata GDanilo, Empana JPhilippe, Schmidtmann I, Lin H-J, McLachlan S, Bokemark L, Ronkainen K, et al. Predictive value for cardiovascular events of common carotid intima media thickness and its rate of change in individuals at high cardiovascular risk - Results from the PROG-IMT collaboration. PLoS One. 2018 ;13(4):e0191172.
van den Broek KC, deFilippi CR, Christenson RH, Seliger SL, Gottdiener JS, Kop WJ. Predictive value of depressive symptoms and B-type natriuretic peptide for new-onset heart failure and mortality. Am J Cardiol. 2011 ;107(5):723-9.
Aurigemma GP, Gottdiener JS, Shemanski L, Gardin J, Kitzman D. Predictive value of systolic and diastolic function for incident congestive heart failure in the elderly: the cardiovascular health study. J Am Coll Cardiol. 2001 ;37(4):1042-8.
Bhambhani V, Kizer JR, Lima JAC, van der Harst P, Bahrami H, Nayor M, de Filippi CR, Enserro D, Blaha MJ, Cushman M, et al. Predictors and outcomes of heart failure with mid-range ejection fraction. Eur J Heart Fail. 2017 .
Kerola T, Dewland TA, Vittinghoff E, Heckbert SR, Stein PK, Marcus GM. Predictors of atrial ectopy and their relationship to atrial fibrillation risk. Europace. 2019 .

Pages