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2,056 results on '"Gerstein, Hertzel"'

2. Genetic drivers of heterogeneity in type 2 diabetes pathophysiology

Author

Suzuki, Ken, Hatzikotoulas, Konstantinos, Southam, Lorraine, Taylor, Henry J., Yin, Xianyong, Lorenz, Kim M., Mandla, Ravi, Huerta-Chagoya, Alicia, Melloni, Giorgio E. M., Kanoni, Stavroula, Rayner, Nigel W., Bocher, Ozvan, Arruda, Ana Luiza, Sonehara, Kyuto, Namba, Shinichi, Lee, Simon S. K., Preuss, Michael H., Petty, Lauren E., Schroeder, Philip, Vanderwerff, Brett, Kals, Mart, Bragg, Fiona, Lin, Kuang, Guo, Xiuqing, Zhang, Weihua, Yao, Jie, Kim, Young Jin, Graff, Mariaelisa, Takeuchi, Fumihiko, Nano, Jana, Lamri, Amel, Nakatochi, Masahiro, Moon, Sanghoon, Scott, Robert A., Cook, James P., Lee, Jung-Jin, Pan, Ian, Taliun, Daniel, Parra, Esteban J., Chai, Jin-Fang, Bielak, Lawrence F., Tabara, Yasuharu, Hai, Yang, Thorleifsson, Gudmar, Grarup, Niels, Sofer, Tamar, Wuttke, Matthias, Sarnowski, Chloé, Gieger, Christian, Nousome, Darryl, Trompet, Stella, Kwak, Soo-Heon, Long, Jirong, Sun, Meng, Tong, Lin, Chen, Wei-Min, Nongmaithem, Suraj S., Noordam, Raymond, Lim, Victor J. Y., Tam, Claudia H. T., Joo, Yoonjung Yoonie, Chen, Chien-Hsiun, Raffield, Laura M., Prins, Bram Peter, Nicolas, Aude, Yanek, Lisa R., Chen, Guanjie, Brody, Jennifer A., Kabagambe, Edmond, An, Ping, Xiang, Anny H., Choi, Hyeok Sun, Cade, Brian E., Tan, Jingyi, Broadaway, K. Alaine, Williamson, Alice, Kamali, Zoha, Cui, Jinrui, Thangam, Manonanthini, Adair, Linda S., Adeyemo, Adebowale, Aguilar-Salinas, Carlos A., Ahluwalia, Tarunveer S., Anand, Sonia S., Bertoni, Alain, Bork-Jensen, Jette, Brandslund, Ivan, Buchanan, Thomas A., Burant, Charles F., Butterworth, Adam S., Canouil, Mickaël, Chan, Juliana C. N., Chang, Li-Ching, Chee, Miao-Li, Chen, Ji, Chen, Shyh-Huei, Chen, Yuan-Tsong, Chen, Zhengming, Chuang, Lee-Ming, Cushman, Mary, Danesh, John, Das, Swapan K., de Silva, H. Janaka, Dedoussis, George, Dimitrov, Latchezar, Doumatey, Ayo P., Du, Shufa, Duan, Qing, Eckardt, Kai-Uwe, Emery, Leslie S., Evans, Daniel S., Evans, Michele K., Fischer, Krista, Floyd, James S., Ford, Ian, Franco, Oscar H., Frayling, Timothy M., Freedman, Barry I., Genter, Pauline, Gerstein, Hertzel C., Giedraitis, Vilmantas, González-Villalpando, Clicerio, González-Villalpando, Maria Elena, Gordon-Larsen, Penny, Gross, Myron, Guare, Lindsay A., Hackinger, Sophie, Hakaste, Liisa, Han, Sohee, Hattersley, Andrew T., Herder, Christian, Horikoshi, Momoko, Howard, Annie-Green, Hsueh, Willa, Huang, Mengna, Huang, Wei, Hung, Yi-Jen, Hwang, Mi Yeong, Hwu, Chii-Min, Ichihara, Sahoko, Ikram, Mohammad Arfan, Ingelsson, Martin, Islam, Md. Tariqul, Isono, Masato, Jang, Hye-Mi, Jasmine, Farzana, Jiang, Guozhi, Jonas, Jost B., Jørgensen, Torben, Kamanu, Frederick K., Kandeel, Fouad R., Kasturiratne, Anuradhani, Katsuya, Tomohiro, Kaur, Varinderpal, Kawaguchi, Takahisa, Keaton, Jacob M., Kho, Abel N., Khor, Chiea-Chuen, Kibriya, Muhammad G., Kim, Duk-Hwan, Kronenberg, Florian, Kuusisto, Johanna, Läll, Kristi, Lange, Leslie A., Lee, Kyung Min, Lee, Myung-Shik, Lee, Nanette R., Leong, Aaron, Li, Liming, Li, Yun, Li-Gao, Ruifang, Ligthart, Symen, Lindgren, Cecilia M., Linneberg, Allan, Liu, Ching-Ti, Liu, Jianjun, Locke, Adam E., Louie, Tin, Luan, Jian’an, Luk, Andrea O., Luo, Xi, Lv, Jun, Lynch, Julie A., Lyssenko, Valeriya, Maeda, Shiro, Mamakou, Vasiliki, Mansuri, Sohail Rafik, Matsuda, Koichi, Meitinger, Thomas, Melander, Olle, Metspalu, Andres, Mo, Huan, Morris, Andrew D., Moura, Filipe A., Nadler, Jerry L., Nalls, Michael A., Nayak, Uma, Ntalla, Ioanna, Okada, Yukinori, Orozco, Lorena, Patel, Sanjay R., Patil, Snehal, Pei, Pei, Pereira, Mark A., Peters, Annette, Pirie, Fraser J., Polikowsky, Hannah G., Porneala, Bianca, Prasad, Gauri, Rasmussen-Torvik, Laura J., Reiner, Alexander P., Roden, Michael, Rohde, Rebecca, Roll, Katheryn, Sabanayagam, Charumathi, Sandow, Kevin, Sankareswaran, Alagu, Sattar, Naveed, Schönherr, Sebastian, Shahriar, Mohammad, Shen, Botong, Shi, Jinxiu, Shin, Dong Mun, Shojima, Nobuhiro, Smith, Jennifer A., So, Wing Yee, Stančáková, Alena, Steinthorsdottir, Valgerdur, Stilp, Adrienne M., Strauch, Konstantin, Taylor, Kent D., Thorand, Barbara, Thorsteinsdottir, Unnur, Tomlinson, Brian, Tran, Tam C., Tsai, Fuu-Jen, Tuomilehto, Jaakko, Tusie-Luna, Teresa, Udler, Miriam S., Valladares-Salgado, Adan, van Dam, Rob M., van Klinken, Jan B., Varma, Rohit, Wacher-Rodarte, Niels, Wheeler, Eleanor, Wickremasinghe, Ananda R., van Dijk, Ko Willems, Witte, Daniel R., Yajnik, Chittaranjan S., Yamamoto, Ken, Yamamoto, Kenichi, Yoon, Kyungheon, Yu, Canqing, Yuan, Jian-Min, Yusuf, Salim, Zawistowski, Matthew, Zhang, Liang, Zheng, Wei, Raffel, Leslie J., Igase, Michiya, Ipp, Eli, Redline, Susan, Cho, Yoon Shin, Lind, Lars, Province, Michael A., Fornage, Myriam, Hanis, Craig L., Ingelsson, Erik, Zonderman, Alan B., Psaty, Bruce M., Wang, Ya-Xing, Rotimi, Charles N., Becker, Diane M., Matsuda, Fumihiko, Liu, Yongmei, Yokota, Mitsuhiro, Kardia, Sharon L. R., Peyser, Patricia A., Pankow, James S., Engert, James C., Bonnefond, Amélie, Froguel, Philippe, Wilson, James G., Sheu, Wayne H. H., Wu, Jer-Yuarn, Hayes, M. Geoffrey, Ma, Ronald C. W., Wong, Tien-Yin, Mook-Kanamori, Dennis O., Tuomi, Tiinamaija, Chandak, Giriraj R., Collins, Francis S., Bharadwaj, Dwaipayan, Paré, Guillaume, Sale, Michèle M., Ahsan, Habibul, Motala, Ayesha A., Shu, Xiao-Ou, Park, Kyong-Soo, Jukema, J. Wouter, Cruz, Miguel, Chen, Yii-Der Ida, Rich, Stephen S., McKean-Cowdin, Roberta, Grallert, Harald, Cheng, Ching-Yu, Ghanbari, Mohsen, Tai, E-Shyong, Dupuis, Josee, Kato, Norihiro, Laakso, Markku, Köttgen, Anna, Koh, Woon-Puay, Bowden, Donald W., Palmer, Colin N. A., Kooner, Jaspal S., Kooperberg, Charles, Liu, Simin, North, Kari E., Saleheen, Danish, Hansen, Torben, Pedersen, Oluf, Wareham, Nicholas J., Lee, Juyoung, Kim, Bong-Jo, Millwood, Iona Y., Walters, Robin G., Stefansson, Kari, Ahlqvist, Emma, Goodarzi, Mark O., Mohlke, Karen L., Langenberg, Claudia, Haiman, Christopher A., Loos, Ruth J. F., Florez, Jose C., Rader, Daniel J., Ritchie, Marylyn D., Zöllner, Sebastian, Mägi, Reedik, Marston, Nicholas A., Ruff, Christian T., van Heel, David A., Finer, Sarah, Denny, Joshua C., Yamauchi, Toshimasa, Kadowaki, Takashi, Chambers, John C., Ng, Maggie C. Y., Sim, Xueling, Below, Jennifer E., Tsao, Philip S., Chang, Kyong-Mi, McCarthy, Mark I., Meigs, James B., Mahajan, Anubha, Spracklen, Cassandra N., Mercader, Josep M., Boehnke, Michael, Rotter, Jerome I., Vujkovic, Marijana, Voight, Benjamin F., Morris, Andrew P., and Zeggini, Eleftheria

Published
2024
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6. GDF15 promotes weight loss by enhancing energy expenditure in muscle

Author

Wang, Dongdong, Townsend, Logan K., DesOrmeaux, Geneviève J., Frangos, Sara M., Batchuluun, Battsetseg, Dumont, Lauralyne, Kuhre, Rune Ehrenreich, Ahmadi, Elham, Hu, Sumei, Rebalka, Irena A., Gautam, Jaya, Jabile, Maria Joy Therese, Pileggi, Chantal A., Rehal, Sonia, Desjardins, Eric M., Tsakiridis, Evangelia E., Lally, James S. V., Juracic, Emma Sara, Tupling, A. Russell, Gerstein, Hertzel C., Paré, Guillaume, Tsakiridis, Theodoros, Harper, Mary-Ellen, Hawke, Thomas J., Speakman, John R., Blondin, Denis P., Holloway, Graham P., Jørgensen, Sebastian Beck, and Steinberg, Gregory R.

Published
2023
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23. Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation

Author

Mahajan, Anubha, Spracklen, Cassandra N., Zhang, Weihua, Ng, Maggie C. Y., Petty, Lauren E., Kitajima, Hidetoshi, Yu, Grace Z., Rüeger, Sina, Speidel, Leo, Kim, Young Jin, Horikoshi, Momoko, Mercader, Josep M., Taliun, Daniel, Moon, Sanghoon, Kwak, Soo-Heon, Robertson, Neil R., Rayner, Nigel W., Loh, Marie, Kim, Bong-Jo, Chiou, Joshua, Miguel-Escalada, Irene, della Briotta Parolo, Pietro, Lin, Kuang, Bragg, Fiona, Preuss, Michael H., Takeuchi, Fumihiko, Nano, Jana, Guo, Xiuqing, Lamri, Amel, Nakatochi, Masahiro, Scott, Robert A., Lee, Jung-Jin, Huerta-Chagoya, Alicia, Graff, Mariaelisa, Chai, Jin-Fang, Parra, Esteban J., Yao, Jie, Bielak, Lawrence F., Tabara, Yasuharu, Hai, Yang, Steinthorsdottir, Valgerdur, Cook, James P., Kals, Mart, Grarup, Niels, Schmidt, Ellen M., Pan, Ian, Sofer, Tamar, Wuttke, Matthias, Sarnowski, Chloe, Gieger, Christian, Nousome, Darryl, Trompet, Stella, Long, Jirong, Sun, Meng, Tong, Lin, Chen, Wei-Min, Ahmad, Meraj, Noordam, Raymond, Lim, Victor J. Y., Tam, Claudia H. T., Joo, Yoonjung Yoonie, Chen, Chien-Hsiun, Raffield, Laura M., Lecoeur, Cécile, Prins, Bram Peter, Nicolas, Aude, Yanek, Lisa R., Chen, Guanjie, Jensen, Richard A., Tajuddin, Salman, Kabagambe, Edmond K., An, Ping, Xiang, Anny H., Choi, Hyeok Sun, Cade, Brian E., Tan, Jingyi, Flanagan, Jack, Abaitua, Fernando, Adair, Linda S., Adeyemo, Adebowale, Aguilar-Salinas, Carlos A., Akiyama, Masato, Anand, Sonia S., Bertoni, Alain, Bian, Zheng, Bork-Jensen, Jette, Brandslund, Ivan, Brody, Jennifer A., Brummett, Chad M., Buchanan, Thomas A., Canouil, Mickaël, Chan, Juliana C. N., Chang, Li-Ching, Chee, Miao-Li, Chen, Ji, Chen, Shyh-Huei, Chen, Yuan-Tsong, Chen, Zhengming, Chuang, Lee-Ming, Cushman, Mary, Das, Swapan K., de Silva, H. Janaka, Dedoussis, George, Dimitrov, Latchezar, Doumatey, Ayo P., Du, Shufa, Duan, Qing, Eckardt, Kai-Uwe, Emery, Leslie S., Evans, Daniel S., Evans, Michele K., Fischer, Krista, Floyd, James S., Ford, Ian, Fornage, Myriam, Franco, Oscar H., Frayling, Timothy M., Freedman, Barry I., Fuchsberger, Christian, Genter, Pauline, Gerstein, Hertzel C., Giedraitis, Vilmantas, González-Villalpando, Clicerio, González-Villalpando, Maria Elena, Goodarzi, Mark O., Gordon-Larsen, Penny, Gorkin, David, Gross, Myron, Guo, Yu, Hackinger, Sophie, Han, Sohee, Hattersley, Andrew T., Herder, Christian, Howard, Annie-Green, Hsueh, Willa, Huang, Mengna, Huang, Wei, Hung, Yi-Jen, Hwang, Mi Yeong, Hwu, Chii-Min, Ichihara, Sahoko, Ikram, Mohammad Arfan, Ingelsson, Martin, Islam, Md Tariqul, Isono, Masato, Jang, Hye-Mi, Jasmine, Farzana, Jiang, Guozhi, Jonas, Jost B., Jørgensen, Marit E., Jørgensen, Torben, Kamatani, Yoichiro, Kandeel, Fouad R., Kasturiratne, Anuradhani, Katsuya, Tomohiro, Kaur, Varinderpal, Kawaguchi, Takahisa, Keaton, Jacob M., Kho, Abel N., Khor, Chiea-Chuen, Kibriya, Muhammad G., Kim, Duk-Hwan, Kohara, Katsuhiko, Kriebel, Jennifer, Kronenberg, Florian, Kuusisto, Johanna, Läll, Kristi, Lange, Leslie A., Lee, Myung-Shik, Lee, Nanette R., Leong, Aaron, Li, Liming, Li, Yun, Li-Gao, Ruifang, Ligthart, Symen, Lindgren, Cecilia M., Linneberg, Allan, Liu, Ching-Ti, Liu, Jianjun, Locke, Adam E., Louie, Tin, Luan, Jian’an, Luk, Andrea O., Luo, Xi, Lv, Jun, Lyssenko, Valeriya, Mamakou, Vasiliki, Mani, K. Radha, Meitinger, Thomas, Metspalu, Andres, Morris, Andrew D., Nadkarni, Girish N., Nadler, Jerry L., Nalls, Michael A., Nayak, Uma, Nongmaithem, Suraj S., Ntalla, Ioanna, Okada, Yukinori, Orozco, Lorena, Patel, Sanjay R., Pereira, Mark A., Peters, Annette, Pirie, Fraser J., Porneala, Bianca, Prasad, Gauri, Preissl, Sebastian, Rasmussen-Torvik, Laura J., Reiner, Alexander P., Roden, Michael, Rohde, Rebecca, Roll, Kathryn, Sabanayagam, Charumathi, Sander, Maike, Sandow, Kevin, Sattar, Naveed, Schönherr, Sebastian, Schurmann, Claudia, Shahriar, Mohammad, Shi, Jinxiu, Shin, Dong Mun, Shriner, Daniel, Smith, Jennifer A., So, Wing Yee, Stančáková, Alena, Stilp, Adrienne M., Strauch, Konstantin, Suzuki, Ken, Takahashi, Atsushi, Taylor, Kent D., Thorand, Barbara, Thorleifsson, Gudmar, Thorsteinsdottir, Unnur, Tomlinson, Brian, Torres, Jason M., Tsai, Fuu-Jen, Tuomilehto, Jaakko, Tusie-Luna, Teresa, Udler, Miriam S., Valladares-Salgado, Adan, van Dam, Rob M., van Klinken, Jan B., Varma, Rohit, Vujkovic, Marijana, Wacher-Rodarte, Niels, Wheeler, Eleanor, Whitsel, Eric A., Wickremasinghe, Ananda R., van Dijk, Ko Willems, Witte, Daniel R., Yajnik, Chittaranjan S., Yamamoto, Ken, Yamauchi, Toshimasa, Yengo, Loïc, Yoon, Kyungheon, Yu, Canqing, Yuan, Jian-Min, Yusuf, Salim, Zhang, Liang, Zheng, Wei, Raffel, Leslie J., Igase, Michiya, Ipp, Eli, Redline, Susan, Cho, Yoon Shin, Lind, Lars, Province, Michael A., Hanis, Craig L., Peyser, Patricia A., Ingelsson, Erik, Zonderman, Alan B., Psaty, Bruce M., Wang, Ya-Xing, Rotimi, Charles N., Becker, Diane M., Matsuda, Fumihiko, Liu, Yongmei, Zeggini, Eleftheria, Yokota, Mitsuhiro, Rich, Stephen S., Kooperberg, Charles, Pankow, James S., Engert, James C., Chen, Yii-Der Ida, Froguel, Philippe, Wilson, James G., Sheu, Wayne H. H., Kardia, Sharon L. R., Wu, Jer-Yuarn, Hayes, M. Geoffrey, Ma, Ronald C. W., Wong, Tien-Yin, Groop, Leif, Mook-Kanamori, Dennis O., Chandak, Giriraj R., Collins, Francis S., Bharadwaj, Dwaipayan, Paré, Guillaume, Sale, Michèle M., Ahsan, Habibul, Motala, Ayesha A., Shu, Xiao-Ou, Park, Kyong-Soo, Jukema, J. Wouter, Cruz, Miguel, McKean-Cowdin, Roberta, Grallert, Harald, Cheng, Ching-Yu, Bottinger, Erwin P., Dehghan, Abbas, Tai, E-Shyong, Dupuis, Josée, Kato, Norihiro, Laakso, Markku, Köttgen, Anna, Koh, Woon-Puay, Palmer, Colin N. A., Liu, Simin, Abecasis, Goncalo, Kooner, Jaspal S., Loos, Ruth J. F., North, Kari E., Haiman, Christopher A., Florez, Jose C., Saleheen, Danish, Hansen, Torben, Pedersen, Oluf, Mägi, Reedik, Langenberg, Claudia, Wareham, Nicholas J., Maeda, Shiro, Kadowaki, Takashi, Lee, Juyoung, Millwood, Iona Y., Walters, Robin G., Stefansson, Kari, Myers, Simon R., Ferrer, Jorge, Gaulton, Kyle J., Meigs, James B., Mohlke, Karen L., Gloyn, Anna L., Bowden, Donald W., Below, Jennifer E., Chambers, John C., Sim, Xueling, Boehnke, Michael, Rotter, Jerome I., McCarthy, Mark I., and Morris, Andrew P.

Published
2022
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26. Author Correction: Identification of genetic effects underlying type 2 diabetes in South Asian and European populations

Author

Loh, Marie, Zhang, Weihua, Ng, Hong Kiat, Schmid, Katharina, Lamri, Amel, Tong, Lin, Ahmad, Meraj, Lee, Jung-Jin, Ng, Maggie C. Y., Petty, Lauren E., Spracklen, Cassandra N., Takeuchi, Fumihiko, Islam, Md. Tariqul, Jasmine, Farzana, Kasturiratne, Anuradhani, Kibriya, Muhammad, Mohlke, Karen L., Paré, Guillaume, Prasad, Gauri, Shahriar, Mohammad, Chee, Miao Ling, de Silva, H. Janaka, Engert, James C., Gerstein, Hertzel C., Mani, K. Radha, Sabanayagam, Charumathi, Vujkovic, Marijana, Wickremasinghe, Ananda R., Wong, Tien Yin, Yajnik, Chittaranjan S., Yusuf, Salim, Ahsan, Habibul, Bharadwaj, Dwaipayan, Anand, Sonia S., Below, Jennifer E., Boehnke, Michael, Bowden, Donald W., Chandak, Giriraj R., Cheng, Ching-Yu, Kato, Norihiro, Mahajan, Anubha, Sim, Xueling, McCarthy, Mark I., Morris, Andrew P., Kooner, Jaspal S., Saleheen, Danish, and Chambers, John C.

Published
2022
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27. A novel kidney disease index reflecting both the albumin-to-creatinine ratio and estimated glomerular filtration rate, predicted cardiovascular and kidney outcomes in type 2 diabetes

Author

Gerstein, Hertzel C., Ramasundarahettige, Chinthanie, Avezum, Alvero, Basile, Jan, Conget, Ignacio, Cushman, William C., Dagenais, Gilles R., Franek, Edward, Lakshmanan, Mark, Lanas, Fernando, Leiter, Lawrence A., Pogosova, Nana, Probstfield, Jeffrey, Raubenheimer, Peter J., Riddle, Matthew, Shaw, Jonathan, Sheu, Wayne H.-H., Temelkova-Kurktschiev, Theodora, Turfanda, Ibrahim, and Xavier, Denis

Published
2022
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28. Identification of genetic effects underlying type 2 diabetes in South Asian and European populations

Author

Loh, Marie, Zhang, Weihua, Ng, Hong Kiat, Schmid, Katharina, Lamri, Amel, Tong, Lin, Ahmad, Meraj, Lee, Jung-Jin, Ng, Maggie C. Y., Petty, Lauren E., Spracklen, Cassandra N., Takeuchi, Fumihiko, Islam, Md. Tariqul, Jasmine, Farzana, Kasturiratne, Anuradhani, Kibriya, Muhammad, Mohlke, Karen L., Paré, Guillaume, Prasad, Gauri, Shahriar, Mohammad, Chee, Miao Ling, de Silva, H. Janaka, Engert, James C., Gerstein, Hertzel C., Mani, K. Radha, Sabanayagam, Charumathi, Vujkovic, Marijana, Wickremasinghe, Ananda R., Wong, Tien Yin, Yajnik, Chittaranjan S., Yusuf, Salim, Ahsan, Habibul, Bharadwaj, Dwaipayan, Anand, Sonia S., Below, Jennifer E., Boehnke, Michael, Bowden, Donald W., Chandak, Giriraj R., Cheng, Ching-Yu, Kato, Norihiro, Mahajan, Anubha, Sim, Xueling, McCarthy, Mark I., Morris, Andrew P., Kooner, Jaspal S., Saleheen, Danish, and Chambers, John C.

Published
2022
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30. Improving analysis of cognitive outcomes in cardiovascular trials using different statistical approaches.

Author

Lee, Shun Fu, Whiteley, William, Bosch, Jackie, Sherlock, Laura, Cukierman-Yaffe, Tali, O'Donnell, Martin, Eikelboom, John W., Gerstein, Hertzel C., Bangdiwala, Shrikant I., and Muniz-Terrera, Graciela

Subjects
MONTREAL Cognitive Assessment, NONLINEAR regression, AKAIKE information criterion, MINI-Mental State Examination, RANDOMIZED controlled trials
Abstract

Background: The Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) questionnaires are commonly used to measure global cognition in clinical trials. Because these scales are discrete and bounded with ceiling and floor effects and highly skewed, their analysis as continuous outcomes presents challenges. Normality assumptions of linear regression models are usually violated, which may result in failure to detect associations with variables of interest. Methods: Alternative approaches to analyzing the results of these cognitive batteries include transformations (standardization, square root, or log transformation) of the scores in the multivariate linear regression (MLR) model, the use of nonlinear beta-binomial regression (which is not dependent on the assumption of normality), or Tobit regression, which adds a latent variable to account for bounded data. We aim to empirically compare the model performance of all proposed approaches using four large randomized controlled trials (ORIGIN, TRANSCEND, COMPASS, and NAVIGATE-ESUS), and using as metrics the Akaike information criterion (AIC). We also compared the treatment effects for the methods that have the same unit of measure (i.e., untransformed MLR, beta-binomial, and Tobit). Results: The beta-binomial consistently demonstrated superior model performance, with the lowest AIC values among nearly all the approaches considered, followed by the MLR with square root and log transformations across all four studies. Notably, in ORIGIN, a substantial AIC reduction was observed when comparing the untransformed MLR to the beta-binomial, whereas other studies had relatively small AIC reductions. The beta-binomial model also resulted in a significant treatment effect in ORIGIN, while the untransformed MLR and Tobit regression showed no significance. The other three studies had similar and insignificant treatment effects among the three approaches. Conclusion: When analyzing discrete and bounded outcomes, such as cognitive scores, as continuous variables, a beta-binomial regression model improves model performance, avoids spurious significance, and allows for a direct interpretation of the actual cognitive measure. Trials registration: ORIGIN (NCT00069784). Registered on October 1, 2003; TRANSCEND (NCT00153101). Registered on September 9, 2005; COMPASS (NCT01776424). Registered on January 24, 2013; NAVIGATE-ESUS (NCT02313909). Registered on December 8, 2014. [ABSTRACT FROM AUTHOR]

Published
2024
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31. Impact of baseline FIB-4 score on efpeglenatide benefits on cardiovascular outcomes in people with type 2 diabetes: a participant-level exploratory analysis of the AMPLITUDE-O trial.

Author

Del Prato, Stefano, Li, Zhuoru, Ramasundarahettige, Chinthanie, Branch, Kelley R. H., Lam, Carolyn S. P., Lopes, Renato D., Pratley, Richard, Rosenstock, Julio, Sattar, Naveed, and Gerstein, Hertzel C.

Subjects
MAJOR adverse cardiovascular events, TYPE 2 diabetes, HEPATIC fibrosis, CARDIOVASCULAR diseases
Abstract

Aims: To estimate the incidence of major adverse cardiovascular events (MACE), expanded MACE, and MACE or Death across Fibrosis- 4 score (FIB-4) categories in people with type 2 diabetes and to determine whether efpeglenatide's effect varies with increasing FIB-4 severity. Materials and methods: AMPLITUDE-O trial data were used to estimate the relationship of FIB-4 score categories to the hazard of MACE, expanded MACE, and MACE or death. Interactions on these outcomes between baseline FIB-4 score, and between FIB-4 score and efpeglenatide were also assessed. Results: Baseline FIB-4 score was available for 4059 participants (99.6%) allowing subdivision of the population in tertiles. During a median follow-up of 1.8 years, numerical increases in the incidence of all 3 outcomes did not change significantly across tertiles of FIB-4 score (P for trend ≥ 0.25) with negligible relationship of the score to incident outcomes (MACE HR, per 1 SD higher score, 95% CI: 1.00, 0.89–1.13). Efpeglenatide's effect on all MACE outcomes did not vary across FIB-4 tertiles (all interaction p values ≥ 0.64). Conclusions: In high-risk people with type 2 diabetes, the degree of liver fibrosis, as estimated by FIB-4 score, was not related to incident cardiovascular outcomes. The beneficial effect of efpeglenatide on these outcomes is independent of FIB-4 category. [ABSTRACT FROM AUTHOR]

Published
2024
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32. Do nonglycaemic effects such as weight loss account for HbA1c lowering with efpeglenatide?: Insights from the AMPLITUDE‐O trial.

Author

Gerstein, Hertzel C., Yang, Mu, Lee, Shun Fu, Branch, Kelley R. H., Del Prato, Stefano, Lam, Carolyn S. P., Lopes, Renato D., Pratley, Richard, Rosenstock, Julio, and Sattar, Naveed

Subjects
*PANCREATIC acinar cells, *NON-alcoholic fatty liver disease, *REDUCING diets, *MAJOR adverse cardiovascular events, *TYPE 2 diabetes, *ASPARTATE aminotransferase, *INSULIN
Abstract

The article explores the effects of the GLP-1 RA efpeglenatide on HbA1c levels in individuals with type 2 diabetes mellitus. The study found that efpeglenatide significantly reduced HbA1c levels, but the nonglycaemic effects of the drug, such as weight loss, did not account for a significant portion of this reduction. The document provides additional information on the study and discusses potential mechanisms for efpeglenatide's glucose-lowering effects. It concludes that further research is needed to understand if these mechanisms apply to other similar drugs. [Extracted from the article]

Published
2024
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33. Relationships between ankle blood pressure indices and major adverse cardiovascular events in people with and without type 2 diabetes.

Author

Mohammedi, Kamel, Pigeyre, Marie, Bosch, Jackie, Yusuf, Salim, and Gerstein, Hertzel C.

Subjects
MAJOR adverse cardiovascular events, ANKLE brachial index, TYPE 2 diabetes, CARDIOVASCULAR disease related mortality, MYOCARDIAL infarction
Abstract

Background: The relationship between ankle blood pressure (BP) and cardiovascular disease remains unclear. We examined the relationships between known and new ankle BP indices and major cardiovascular outcomes in people with and without type 2 diabetes. Methods: We used data from 3 large trials with measurements of ankle systolic BP (SBP), ankle-brachial index (ABI, ankle SBP divided by arm SBP), and ankle-pulse pressure difference (APPD, ankle SBP minus arm pulse pressure). The primary outcome was a composite of cardiovascular mortality, myocardial infarction, hospitalization for heart failure, or stroke. Secondary outcomes included death from cardiovascular causes, total (fatal and non-fatal) myocardial infarction, hospitalization for heart failure, and total stroke. Results: Among 42,929 participants (age 65.6 years, females 31.3%, type 2 diabetes 50.1%, 53 countries), the primary outcome occurred in 7230 (16.8%) participants during 5 years of follow-up (19.4% in people with diabetes, 14.3% in those without diabetes). The incidence of the outcome increased with lower ankle BP indices. Compared with people whose ankle BP indices were in the highest fourth, multivariable-adjusted hazard ratios (HRs, 95% CI) of the outcome for each lower fourth were 1.05 (0.98–1.12), 1.17 (1.08–1.25), and 1.54 (1.54–1.65) for ankle SBP; HR 1.06 (0.99–1.14), 1.26 (1.17–1.35), and 1.48 (1.38–1.58) for ABI; and HR 1.02 (0.95–1.10), 1.15 (1.07–1.23), and 1.48 (1.38–1.58) for APPD. The largest effect size was noted for ankle SBP (HRs 1.05 [0.90–1.21], 1.21 [1.05–1.40], and 1.93 [1.68–2.22]), and APPD (HRs 1.08 [0.93–1.26], 1.30 [1.12–1.50], and 1.97 [1.72–2.25]) with respect to hospitalization for heart failure, while only a marginal association was observed for stroke. The relationships were similar in people with and without diabetes (all p for interaction > 0.05). Conclusions: Inverse and independent associations were observed between ankle BP and cardiovascular events, similarly in people with and without type 2 diabetes. The largest associations were observed for heart failure and the smallest for stroke. Including ankle BP indices in routine clinical assessments may help to identify people at highest risk of cardiovascular outcomes. Ankle blood pressure indices and incidence of major cardiovascular outcomes. Expanded MACE, a composite of death from cardiovascular causes, myocardial infarction,hospitalization for heart failure, or stroke. BP, blood pressure; CV, cardiovascular; HHF, hospitalization for heart failure; HR, Hazard ratio (for the lowest fourth of blood pressure indice compared to the highest); MACE, major adverse cardiovascular events; MI, myocardial infarction; Total, fatal and non-fatal MI or stroke. [ABSTRACT FROM AUTHOR]

Published
2024
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34. Cognitive function in adolescence and the risk of early-onset stroke.

Author

Bardugo, Aya, Bendor, Cole D., Libruder, Carmit, Lutski, Miri, Zucker, Inbar, Tsur, Avishai M., Derazne, Estela, Yaniv, Gal, Gardner, Raquel C., Gerstein, Hertzel C., Cukierman-Yaffe, Tali, Lebenthal, Yael, Batty, David, Tanne, David, Furer, Ariel, Afek, Arnon, and Twig, Gilad

Subjects
OBESITY complications, RISK assessment, COGNITIVE testing, HYPERTENSION, DESCRIPTIVE statistics, REPORTING of diseases, AGE factors in disease, LONGITUDINAL method, SURVEYS, COGNITION disorders, STROKE, CONFIDENCE intervals, PROPORTIONAL hazards models, DISEASE risk factors, DISEASE complications, ADOLESCENCE
Published
2024
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35. Development and first‐stage validation of a digital version of the Digit Symbol Substitution test for use in assessing cognitive function in older people with diabetes.

Author

Segev, Omri, Raz, Itamar, Gerstein, Hertzel C., Aviezer, Hillel, Sela, Yael, Cukierman, Dani, Shankar, Rahul, Natovich, Rachel, and Cukierman‐Yaffe, Tali

Subjects
PEOPLE with diabetes, OLDER people, GERIATRIC assessment, COGNITIVE ability, MACHINE learning, FRAIL elderly, SURVEILLANCE radar
Abstract

Aims: To describe the development and report the first‐stage validation of a digital version of the digit symbol substitution test (DSST), for assessment of cognitive function in older people with diabetes. Materials and Methods: A multidisciplinary team of experts was convened to conceptualize and build a digital version of the DSST and develop a machine‐learning (ML) algorithm to analyse the inputs. One hundred individuals with type 2 diabetes (aged ≥ 60 years) were invited to participate in a one‐time meeting in which both the digital and the pencil‐and‐paper (P&P) versions of the DSST were administered. Information pertaining to demographics, laboratory measurements, and diabetes indices was collected. The correlation between the digital and P&P versions of the test was determined. Additionally, as part of the validation process, the performance of the digital version in people with and without known risk factors for cognitive impairment was analysed. Results: The ML model yielded an overall accuracy of 89.1%. A strong correlation was found between the P&P and digital versions (r = 0.76, p < 0.001) of the DSST, as well as between the ML model and the manual reading of the digital DSST (r = 0.99, p < 0.001). Conclusions: This study describes the development of and provides first‐stage validation data for a newly developed digital cognitive assessment tool that may be used for screening and surveillance of cognitive function in older people with diabetes. More studies are needed to further validate this tool, especially when self‐administered and in different clinical settings. [ABSTRACT FROM AUTHOR]

Published
2024
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42. Association of glycaemic index and glycaemic load with type 2 diabetes, cardiovascular disease, cancer, and all-cause mortality: a meta-analysis of mega cohorts of more than 100 000 participants

Author

Jenkins, David J A, primary, Willett, Walter C, additional, Yusuf, Salim, additional, Hu, Frank B, additional, Glenn, Andrea J, additional, Liu, Simin, additional, Mente, Andrew, additional, Miller, Victoria, additional, Bangdiwala, Shrikant I, additional, Gerstein, Hertzel C, additional, Sieri, Sabina, additional, Ferrari, Pietro, additional, Patel, Alpa V, additional, McCullough, Marjorie L, additional, Le Marchand, Loïc, additional, Freedman, Neal D, additional, Loftfield, Erikka, additional, Sinha, Rashmi, additional, Shu, Xiao-Ou, additional, Touvier, Mathilde, additional, Sawada, Norie, additional, Tsugane, Shoichiro, additional, van den Brandt, Piet A, additional, Shuval, Kerem, additional, Khan, Tauseef Ahmad, additional, Paquette, Melanie, additional, Sahye-Pudaruth, Sandhya, additional, Patel, Darshna, additional, Siu, Teenie Fei Yi, additional, Srichaikul, Korbua, additional, Kendall, Cyril W C, additional, Sievenpiper, John L, additional, Balachandran, Bashyam, additional, Zurbau, Andreea, additional, Wang, Xunan, additional, Liang, Fred, additional, and Yang, Wanning, additional

Published
2024
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46. Erectile function in men with type 2 diabetes treated with dulaglutide: an exploratory analysis of the REWIND placebo-controlled randomised trial

Author

Bajaj, Harpreet S, Gerstein, Hertzel C, Rao-Melacini, Purnima, Basile, Jan, Colhoun, Helen, Conget, Ignacio, Cushman, William C, Dagenais, Gilles R, Franek, Edward, Hanefeld, Markolf, Keltai, Matyas, Lakshmanan, Mark, Lanas, Fernando, Leiter, Lawrence A, Lopez-Jaramillo, Patricio, Pirags, Valdis, Pogosova, Nana, Probstfield, Jeffrey, Raubenheimer, Peter, Ryden, Lars, Shaw, Jonathan E, Sheu, Wayne H-H, and Xavier, Denis

Published
2021
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47. The association of red and processed meat with gestational diabetes mellitus: Results from 2 Canadian birth cohort studies.

Author

Stennett, Rosain N., Gerstein, Hertzel C., Bangdiwala, Shrikant I., Rafiq, Talha, Teo, Koon K., Morrison, Katherine M., Atkinson, Stephanie A., Anand, Sonia S., and de Souza, Russell J.

Subjects
*GESTATIONAL diabetes, *COHORT analysis, *MEAT, *ODDS ratio, *SOUTH Asians, *PREGNANT women
Abstract

Objective: Red and processed meat is considered risk factors of gestational diabetes mellitus (GDM), but the evidence is inconclusive. We aimed to examine the association between red and processed meat intake and odds of GDM among South Asian and White European women living in Canada. Methods: This is a cross-sectional analysis of pregnant women from two birth cohorts: SouTh Asian biRth cohorT (START; n = 976) and Family Atherosclerosis Monitoring In earLY life (FAMILY; n = 581). Dietary intake was assessed using a validated 169-item semi-quantitative food-frequency questionnaire (FFQ). Multivariate logistic regression models were used to examine the associations between gestational diabetes and: 1) total red and processed meat; 2) unprocessed red meat; 3) processed meat and GDM after adjustment for potential confounders. Results: There were 241 GDM cases in START and 91 in FAMILY. The median total red and processed meat intake were 1.5 g/d (START) and 52.8 g/d (FAMILY). In START, the multivariable-adjusted odds ratio (OR) showed neither lower nor higher intakes of unprocessed red meat (p-trend = 0.68), processed meat (p-trend = 0.90), or total red and processed meat (p-trend = 0.44), were associated with increased odds of GDM, when compared with medium intake. Similar results were observed in FAMILY except for processed meat intake [OR = 0.94 (95% CI 0.47–1.91), for medium versus low and OR = 1.51 (95% CI 0.77–2.29) for medium versus high; p-trend = 0.18] after adjusting for additional dietary factors such as the diet quality score, total fiber, saturated fat and glycemic load. Conclusion: Medium compared with low or high red and processed meat intake is not associated with GDM in White Europeans and South Asians living in Canada. [ABSTRACT FROM AUTHOR]

Published
2024
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48. Contemporary Clinical Perspectives on Targeting Remission of Type 2 Diabetes.

Author

Retnakaran, Ravi, Kashyap, Sangeeta R, Gerstein, Hertzel C, and Aroda, Vanita R

Subjects
TYPE 2 diabetes, INSULIN therapy, BARIATRIC surgery
Abstract

It has long been known that some patients with type 2 diabetes (T2DM) can experience sustained metabolic improvement to near-normal levels of glycemia either spontaneously or after medical intervention. Now recognized as remission of diabetes, this intriguing state is currently more feasible than ever before due to profound advances in metabolic surgery, pharmacologic therapy, and regimens of lifestyle modification. This enhanced capacity to induce remission has revealed new pathophysiologic insights, including the presence of a reversible component of the pancreatic beta-cell dysfunction that otherwise drives the chronic progressive nature of T2DM. In doing so, it has changed the therapeutic landscape by offering new potential management objectives and considerations for patients and providers. However, the excitement around these developments must also be tempered by the sobering realities of our current understanding of remission, including the recognition that this condition may not be permanent (resulting in glycemic relapse over time) and that beta-cell function may not be normalized in the setting of remission. These limitations highlight both the many gaps in our current understanding of remission and the caution with which clinical discussions must be handled for clear patient-directed communication of the pros and cons of targeting this outcome in practice. In this mini-review, we consider this rapidly growing literature, including its implications and its limitations, and thereby seek to provide objective balanced perspectives on targeting remission of T2DM in current clinical care. [ABSTRACT FROM AUTHOR]

Published
2024
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49. Effect of dulaglutide on cognitive impairment in type 2 diabetes: an exploratory analysis of the REWIND trial

Author

Cukierman-Yaffe, Tali, Gerstein, Hertzel C, Colhoun, Helen M, Diaz, Rafael, García-Pérez, Luis-Emilio, Lakshmanan, Mark, Bethel, Angelyn, Xavier, Denis, Probstfield, Jeffrey, Riddle, Matthew C, Rydén, Lars, Atisso, Charles Messan, Hall, Stephanie, Rao-Melacini, Purnima, Basile, Jan, Cushman, William C, Franek, Edward, Keltai, Matyas, Lanas, Fernando, Leiter, Lawrence A, Lopez-Jaramillo, Patricio, Pirags, Valdis, Pogosova, Nana, Raubenheimer, Peter J, Shaw, Jonathan E, Sheu, Wayne H-H, and Temelkova-Kurktschiev, Theodora

Published
2020
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