Guidance for unbiased predictive information for healthcare decision-making and equity (GUIDE): considerations when race may be a prognostic factor

Autor: Keren Ladin, John Cuddeback, O. Kenrik Duru, Sharad Goel, William Harvey, Jinny G. Park, Jessica K. Paulus, Joyce Sackey, Richard Sharp, Ewout Steyerberg, Berk Ustun, David van Klaveren, Saul N. Weingart, David M. Kent

Publikováno v: npj Digital Medicine, Vol 7, Iss 1, Pp 1-12 (2024)

Abstract Clinical prediction models (CPMs) are tools that compute the risk of an outcome given a set of patient characteristics and are routinely used to inform patients, guide treatment decision-making, and resource allocation. Although much hope ha

Externí odkaz: https://doaj.org/article/8225c57a8b2d4aebbf837ef224076579

Development and Validation of Prediction Models of Adverse Kidney Outcomes in the Population With and Without Diabetes

Autor: Morgan E, Grams, Nigel J, Brunskill, Shoshana H, Ballew, Yingying, Sang, Josef, Coresh, Kunihiro, Matsushita, Aditya, Surapaneni, Samira, Bell, Juan J, Carrero, Gabriel, Chodick, Marie, Evans, Hiddo J L, Heerspink, Lesley A, Inker, Kunitoshi, Iseki, Philip A, Kalra, H Lester, Kirchner, Brian J, Lee, Adeera, Levin, Rupert W, Major, James, Medcalf, Girish N, Nadkarni, David M J, Naimark, Ana C, Ricardo, Simon, Sawhney, Manish M, Sood, Natalie, Staplin, Nikita, Stempniewicz, Benedicte, Stengel, Keiichi, Sumida, Jamie P, Traynor, Jan, van den Brand, Chi-Pang, Wen, Mark, Woodward, Jae Won, Yang, Angela Yee-Moon, Wang, Navdeep, Tangri, John, Chalmers, Chi-Yuan, Hsu, Amanda, Anderson, Panduranga, Rao, Harold, Feldman, Alex R, Chang, Kevin, Ho, Jamie, Green, Moneeza, Siddiqui, Colin, Palmer, Varda, Shalev, Marie, Metzger, Martin, Flamant, Pascal, Houillier, Jean-Philippe, Haymann, John, Cuddeback, Elizabeth, Ciemins, Csaba P, Kovesdy, Marco, Trevisan, Carl Gustaf, Elinder, Björn, Wettermark, Philip, Kalra, Rajkumar, Chinnadurai, James, Tollitt, Darren, Green, Ron T, Gansevoort, Orlando, Gutierrez, Tsuneo, Konta, Anna, Köttgen, Andrew S, Levey, Kevan, Polkinghorne, Elke, Schäffner, Luxia, Zhang, Jingsha, Chen

Publikováno v: Diabetes Care, 45, 9, pp. 2055-2063
Diabetes Care, 45(9), 2055-2063. AMER DIABETES ASSOC
Diabetes Care, 45, 2055-2063

OBJECTIVE To predict adverse kidney outcomes for use in optimizing medical management and clinical trial design. RESEARCH DESIGN AND METHODS In this meta-analysis of individual participant data, 43 cohorts (N = 1,621,817) from research studies, elect

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00f7d045f621eb8b8780b2cc124c1cf0
https://research.rug.nl/en/publications/0af47992-ac20-45aa-9f46-57358e48fe8a

Addressing Therapeutic Inertia in 2020 and Beyond: A 3-Year Initiative of the American Diabetes Association

Autor: Kamlesh Khunti, Christine Beebe, John Cuddeback, Luigi F. Meneghini, Paul Scribner, Naeem D. Khan, Todd Hobbs, Debbie Kendall, Lucia M. Novak, Eden Miller, Robert A. Gabbay, Sandra Leal, Swapnil Rajpathak

Publikováno v: Clinical Diabetes : A Publication of the American Diabetes Association

Research has shown that getting to glycemic targets early on leads to better outcomes in people with type 2 diabetes; yet, there has been no improvement in the attainment of A1C targets in the past decade. One reason is therapeutic inertia: the lack

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37d6bee87e857efb023194838d955031
http://europepmc.org/articles/PMC7566926

Development of Risk Prediction Equations for Incident Chronic Kidney Disease

Autor: Robert G, Nelson Morgan, E Grams, Shoshana H, Ballew, Yingying, Sang, Fereidoun, Azizi, Steven J, Chadban, Layal, Chaker, Stephan C, Dunning, Caroline, Fox, Yoshihisa, Hirakawa, Kunitoshi, Iseki, Joachim, Ix, Tazeen H, Jafar, Anna, Köttgen, David M, J Naimark, Takayoshi, Ohkubo, Gordon J, Prescott Casey, M Rebholz, Charumathi, Sabanayagam, Toshimi, Sairenchi, Ben, Schöttker, Yugo, Shibagaki, Marcello, Tonelli, Luxia, Zhang, Ron T, Gansevoort, Kunihiro, Matsushita, Mark, Woodward, Josef, Coresh, Varda, Shalev, CKD Prognosis Consortium, John, Chalmers, Hisatomi, Arima, Vlado, Perkovic, Morgan, Grams, Kevan, Polkinghorne, Robert, Atkins, Steven, Chadban, Ming-Hui, Zhao, Fang, Wang, Jinwei, Wang, Frank, Sacks, Gary, Curhan, Michael, Shlipak, Mark, Sarnak, Ronit, Katz, Jade, Hiramoto, Hiroyasu, Iso, Isao, Muraki, Kazumasa, Yamagishi, Mitsumasa, Umesawa, Hermann, Brenner, Kai-Uwe, Saum, Dietrich, Rothenbacher, Shih-Jen, Hwang, Alex, Chang, Jamie, Green, Gurmukteshwar, Singh, H Lester, Kirchner, Corri, Black, Angharad, Marks, Gordon, Prescott, Laura, Clark, Nick, Fluck, Cirillo, Massimo, Stein, Hallan, Marius, Øvrehus, Knut, Langlo, Solfrid, Romundstad, Fujiko, Irie, Adolfo, Correa, Casey, Rebholz, Bessie, Young, L Ebony, Boulware, Stanford, Mwasongwe, Tsuyoshi, Watanabe, Kunihiro, Yamagata, Koichi, Asahi, Gabriel, Chodick, Carmen, Peralta, Erwin, Bottinger, Girish, Nadkarni, Stephen, Ellis, Rajiv, Nadukuru, Timothy, Kenealy, C Raina, Elley, John, Collins, Paul, Drury, Kei, Asayama, Masahiro, Kikuya, Hirohito, Metoki, Masaaki, Nakayama, Chiho, Iseki, Robert, Nelson, Helen, Looker, William, Knowler, Ron, Gansevoort, Stephan, Bakker, Hiddo, Heerspink, Simerjot, Jassal, Jaclyn, Bergstrom, Elizabeth, Barrett-Connor, Csaba, Kovesdy, Keiichi, Sumida, Kamyar, Kalantar-Zadeh, Sanaz, Sedaghat, Arfan, Ikram, Ewout, Hoorn, Abbas, Dehghan, Juan, Carrero, Marie, Evans, Carl-Gustaf, Elinder, Tien, Wong, Ching-Yu, Cheng, Chi-Pang, Wen, Chwen-Keng, Tsao, Min-Kuang, Tsai, Chien-Hua, Chen, Farhad, Hosseinpanah, Farzad, Hadaegh, Mohammadhassan, Mirbolouk, Marit, Solbu, Bjørn, Eriksen, Trond, Jenssen, Anne, Eggen, Lars, Lannfelt, Anders, Larsson, Johan, Ärnlöv, Henk, Bilo, Gijs, Landman, Kornelis, Hateren, Nanne, Kleefstra, Stephan, Dunning, Nikita, Stempniewicz, John, Cuddeback, Elizabeth, Ciemins, Shoshana, Ballew, Andrew, Levey, Jingsha, Chen, Lucia, Kwak, Aditya, Surapeneni, Mark, Woodward.

Publikováno v: JAMA
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 322(21), 2104-2114. AMER MEDICAL ASSOC
JAMA-Journal of the American Medical Association, 322(21), 2104-2114. American Medical Association

IMPORTANCE Early identification of individuals at elevated risk of developing chronic kidney disease (CKD) could improve clinical care through enhanced surveillance and better management of underlying health conditions.OBJECTIVE To develop assessment

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c39160614579923fe9ce31c5cd0b36d
https://europepmc.org/articles/PMC6865298/

Stage 2 hypertension: predictors of failure to achieve blood pressure control and the impact of adding one additional antihypertensive class

Autor: Christopher G, Rowan, James, Flory, Nikita, Stempniewicz, John, Cuddeback, Steven M, Brunelli

Publikováno v: Pharmacoepidemiology and drug safety. 24(11)

Controlling blood pressure (BP) for patients with stage 2 hypertension remains challenging. This research aimed to: (i) identify predictors of failure to achieve BP control, (ii) determine the association of adding one additional antihypertensive cla

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::109e8e5eaffe6c8fa7e4218027490af0
https://pubmed.ncbi.nlm.nih.gov/26351176