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313 results on '"Misra, Shivani"'

4. Second international consensus report on gaps and opportunities for the clinical translation of precision diabetes medicine

Author

Tobias, Deirdre K., Merino, Jordi, Ahmad, Abrar, Aiken, Catherine, Benham, Jamie L., Bodhini, Dhanasekaran, Clark, Amy L., Colclough, Kevin, Corcoy, Rosa, Cromer, Sara J., Duan, Daisy, Felton, Jamie L., Francis, Ellen C., Gillard, Pieter, Gingras, Véronique, Gaillard, Romy, Haider, Eram, Hughes, Alice, Ikle, Jennifer M., Jacobsen, Laura M., Kahkoska, Anna R., Kettunen, Jarno L. T., Kreienkamp, Raymond J., Lim, Lee-Ling, Männistö, Jonna M. E., Massey, Robert, Mclennan, Niamh-Maire, Miller, Rachel G., Morieri, Mario Luca, Most, Jasper, Naylor, Rochelle N., Ozkan, Bige, Patel, Kashyap Amratlal, Pilla, Scott J., Prystupa, Katsiaryna, Raghavan, Sridharan, Rooney, Mary R., Schön, Martin, Semnani-Azad, Zhila, Sevilla-Gonzalez, Magdalena, Svalastoga, Pernille, Takele, Wubet Worku, Tam, Claudia Ha-ting, Thuesen, Anne Cathrine B., Tosur, Mustafa, Wallace, Amelia S., Wang, Caroline C., Wong, Jessie J., Yamamoto, Jennifer M., Young, Katherine, Amouyal, Chloé, Andersen, Mette K., Bonham, Maxine P., Chen, Mingling, Cheng, Feifei, Chikowore, Tinashe, Chivers, Sian C., Clemmensen, Christoffer, Dabelea, Dana, Dawed, Adem Y., Deutsch, Aaron J., Dickens, Laura T., DiMeglio, Linda A., Dudenhöffer-Pfeifer, Monika, Evans-Molina, Carmella, Fernández-Balsells, María Mercè, Fitipaldi, Hugo, Fitzpatrick, Stephanie L., Gitelman, Stephen E., Goodarzi, Mark O., Grieger, Jessica A., Guasch-Ferré, Marta, Habibi, Nahal, Hansen, Torben, Huang, Chuiguo, Harris-Kawano, Arianna, Ismail, Heba M., Hoag, Benjamin, Johnson, Randi K., Jones, Angus G., Koivula, Robert W., Leong, Aaron, Leung, Gloria K. W., Libman, Ingrid M., Liu, Kai, Long, S. Alice, Lowe, Jr, William L., Morton, Robert W., Motala, Ayesha A., Onengut-Gumuscu, Suna, Pankow, James S., Pathirana, Maleesa, Pazmino, Sofia, Perez, Dianna, Petrie, John R., Powe, Camille E., Quinteros, Alejandra, Jain, Rashmi, Ray, Debashree, Ried-Larsen, Mathias, Saeed, Zeb, Santhakumar, Vanessa, Kanbour, Sarah, Sarkar, Sudipa, Monaco, Gabriela S. F., Scholtens, Denise M., Selvin, Elizabeth, Sheu, Wayne Huey-Herng, Speake, Cate, Stanislawski, Maggie A., Steenackers, Nele, Steck, Andrea K., Stefan, Norbert, Støy, Julie, Taylor, Rachael, Tye, Sok Cin, Ukke, Gebresilasea Gendisha, Urazbayeva, Marzhan, Van der Schueren, Bart, Vatier, Camille, Wentworth, John M., Hannah, Wesley, White, Sara L., Yu, Gechang, Zhang, Yingchai, Zhou, Shao J., Beltrand, Jacques, Polak, Michel, Aukrust, Ingvild, de Franco, Elisa, Flanagan, Sarah E., Maloney, Kristin A., McGovern, Andrew, Molnes, Janne, Nakabuye, Mariam, Njølstad, Pål Rasmus, Pomares-Millan, Hugo, Provenzano, Michele, Saint-Martin, Cécile, Zhang, Cuilin, Zhu, Yeyi, Auh, Sungyoung, de Souza, Russell, Fawcett, Andrea J., Gruber, Chandra, Mekonnen, Eskedar Getie, Mixter, Emily, Sherifali, Diana, Eckel, Robert H., Nolan, John J., Philipson, Louis H., Brown, Rebecca J., Billings, Liana K., Boyle, Kristen, Costacou, Tina, Dennis, John M., Florez, Jose C., Gloyn, Anna L., Gomez, Maria F., Gottlieb, Peter A., Greeley, Siri Atma W., Griffin, Kurt, Hattersley, Andrew T., Hirsch, Irl B., Hivert, Marie-France, Hood, Korey K., Josefson, Jami L., Kwak, Soo Heon, Laffel, Lori M., Lim, Siew S., Loos, Ruth J. F., Ma, Ronald C. W., Mathieu, Chantal, Mathioudakis, Nestoras, Meigs, James B., Misra, Shivani, Mohan, Viswanathan, Murphy, Rinki, Oram, Richard, Owen, Katharine R., Ozanne, Susan E., Pearson, Ewan R., Perng, Wei, Pollin, Toni I., Pop-Busui, Rodica, Pratley, Richard E., Redman, Leanne M., Redondo, Maria J., Reynolds, Rebecca M., Semple, Robert K., Sherr, Jennifer L., Sims, Emily K., Sweeting, Arianne, Tuomi, Tiinamaija, Udler, Miriam S., Vesco, Kimberly K., Vilsbøll, Tina, Wagner, Robert, Rich, Stephen S., and Franks, Paul W.

Published
2023
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6. Precision subclassification of type 2 diabetes: a systematic review

Author

Misra, Shivani, Wagner, Robert, Ozkan, Bige, Schön, Martin, Sevilla-Gonzalez, Magdalena, Prystupa, Katsiaryna, Wang, Caroline C., Kreienkamp, Raymond J., Cromer, Sara J., Rooney, Mary R., Duan, Daisy, Thuesen, Anne Cathrine Baun, Wallace, Amelia S., Leong, Aaron, Deutsch, Aaron J., Andersen, Mette K., Billings, Liana K., Eckel, Robert H., Sheu, Wayne Huey-Herng, Hansen, Torben, Stefan, Norbert, Goodarzi, Mark O., Ray, Debashree, Selvin, Elizabeth, Florez, Jose C., Meigs, James B., and Udler, Miriam S.

Published
2023
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15. 203 Cumulative incidence of coronary heart disease (CHD) among UK South Asians – results of the prospective follow-up of the London life sciences population (LOLIPOP) cohort of 25,372 participants, at 20 years

Author

Kooner, Angad, primary, Kooner, Jaspal Singh, additional, Kooner, Ishminder Kaur, additional, Misra, Shivani, additional, Dehghan, Abbas, additional, Elliott, Paul, additional, Zhang, Weihua, additional, and Chambers, John, additional

Published
2024
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19. A cross-sectional study to characterise young-onset diabetes in UK ethnic groups

Author

Misra, Shivani, Oliver, Nicholas, and Johnston, Desmond

Subjects
610
Abstract

Diabetes subtypes are challenging to differentiate, particularly in people who present at young age. Assigning the correct subtype of diabetes is critical as it informs treatment and misclassification can lead to erroneous management. The impact of ethnicity on diabetes phenotypes is poorly studied but recognition of diabetes subtypes within non-white ethnic groups, is increasingly problematic. Maturity onset diabetes of the young (MODY) is a monogenic form of diabetes that is frequently misdiagnosed in white populations and not widely studied in other ethnicities. The work in this thesis aims to investigate the phenotypes of young-onset diabetes across white, south Asian and African-Caribbean ethnic groups, with the aim of improving recognition of these phenotypes. Results from a retrospective analysis of referrals for MODY testing in the UK, showed a significantly lower detection rate of finding a positive MODY mutation in people referred from south Asian ethnicity compared to white European ethnicity. It was not clear if this significant disparity represented a lower prevalence of MODY in south Asian individuals or if there was a bias in testing referrals based on the traditional clinical criteria for MODY. To fully investigate this finding, the MY DIABETES study was initiated; a multi-centre cross-sectional study that systematically phenotypes young-onset diabetes across south Asian, African-Caribbean and white European ethnic groups. Fasting C-peptide and pancreatic auto-antibodies are used to stratify individuals for genetic testing of all known MODY genes. Results of the initial 728 participants recruited, showed an overall detection rate of 9.5% that was not significantly different by ethnicity and confirmed pathogenic MODY mutations were detected across all ethnic groups. These results suggest that a systematic approach to stratification in south Asian and African-Caribbean individuals may be warranted if clinical criteria are less sensitive due to the overlapping phenotypes of other types of diabetes in these groups.

Published
2017
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27. Extending precision medicine tools to populations at high risk of type 2 diabetes

Author

Misra, Shivani and Florez, Jose C.

Subjects
South Asians -- Health aspects, Type 2 diabetes -- Drug therapy -- Risk factors -- Demographic aspects, Company business management, Biological sciences
Abstract

Author(s): Shivani Misra 1,2, Jose C. Florez 3,4,5,* People of South Asian ancestry carry a 3-fold higher risk of developing type 2 diabetes (T2D) than white European individuals [1], with [...]

Published
2022
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28. Deciphering the Effects of Semaglutide Across the Glycemic Spectrum.

Author

Misra, Shivani

Subjects
*SEMAGLUTIDE, *STREAMING video & television, *HEART failure, *DIABETES, *INFLAMMATION
Abstract

6357437865112 dci240057video1 Video 1. This image is from a video available online at https://bcove.video/3WedKuq. American Diabetes Association 84th Scientific Sessions: SELECT Trial—New Looks at Glycemia, Inflammation, and Heart Failure. [ABSTRACT FROM AUTHOR]

Published
2024
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29. Fasting plasma glucose and variation in cardiometabolic risk factors in people with high-risk HbA1c-defined prediabetes: A cross-sectional multiethnic study

Author

Srivanichakorn, Weerachai, Godsland, Ian F., Thomson, Hazel, Misra, Shivani, Phisalprapa, Pochamana, Charatcharoenwitthaya, Phunchai, Pramyothin, Pornpoj, Washirasaksiri, Chaiwat, Snehalatha, Chamukuttan, Ramachandran, Ambady, Alberti, K. George M.M., Johnston, Desmond G., and Oliver, Nick S.

Published
2017
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31. A case series of monogenic diabetes in pregnancy

Author

Nyunt, Sandhi, primary, Agha-Jaffar, Rochan, additional, Hardy, Maud, additional, Racaru, Simona, additional, Cunsolo, Roberto, additional, Yu, Christina, additional, Terry, Jayne, additional, Misra, Shivani, additional, and Robinson, Stephen, additional

Published
2023
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32. Precision subclassification of type 2 diabetes:a systematic review

Author

Misra, Shivani, Wagner, Robert, Ozkan, Bige, Schön, Martin, Sevilla-Gonzalez, Magdalena, Prystupa, Katsiaryna, Wang, Caroline C, Kreienkamp, Raymond J, Cromer, Sara J, Rooney, Mary R, Duan, Daisy, Thuesen, Anne Cathrine Baun, Wallace, Amelia S, Leong, Aaron, Deutsch, Aaron J, Andersen, Mette K, Billings, Liana K, Eckel, Robert H, Sheu, Wayne Huey-Herng, Hansen, Torben, Stefan, Norbert, Goodarzi, Mark O, Ray, Debashree, Selvin, Elizabeth, Florez, Jose C, Meigs, James B, Udler, Miriam S, Misra, Shivani, Wagner, Robert, Ozkan, Bige, Schön, Martin, Sevilla-Gonzalez, Magdalena, Prystupa, Katsiaryna, Wang, Caroline C, Kreienkamp, Raymond J, Cromer, Sara J, Rooney, Mary R, Duan, Daisy, Thuesen, Anne Cathrine Baun, Wallace, Amelia S, Leong, Aaron, Deutsch, Aaron J, Andersen, Mette K, Billings, Liana K, Eckel, Robert H, Sheu, Wayne Huey-Herng, Hansen, Torben, Stefan, Norbert, Goodarzi, Mark O, Ray, Debashree, Selvin, Elizabeth, Florez, Jose C, Meigs, James B, and Udler, Miriam S

Abstract

Background Heterogeneity in type 2 diabetes presentation and progression suggests that precision medicine interventions could improve clinical outcomes. We undertook a systematic review to determine whether strategies to subclassify type 2 diabetes were associated with high quality evidence, reproducible results and improved outcomes for patients. Methods We searched PubMed and Embase for publications that used ‘simple subclassification’ approaches using simple categorisation of clinical characteristics, or ‘complex subclassification’ approaches which used machine learning or ‘omics approaches in people with established type 2 diabetes. We excluded other diabetes subtypes and those predicting incident type 2 diabetes. We assessed quality, reproducibility and clinical relevance of extracted full-text articles and qualitatively synthesised a summary of subclassification approaches. Results Here we show data from 51 studies that demonstrate many simple stratification approaches, but none have been replicated and many are not associated with meaningful clinical outcomes. Complex stratification was reviewed in 62 studies and produced reproducible subtypes of type 2 diabetes that are associated with outcomes. Both approaches require a higher grade of evidence but support the premise that type 2 diabetes can be subclassified into clinically meaningful subtypes. Conclusion Critical next steps toward clinical implementation are to test whether subtypes exist in more diverse ancestries and whether tailoring interventions to subtypes will improve outcomes., BACKGROUND: Heterogeneity in type 2 diabetes presentation and progression suggests that precision medicine interventions could improve clinical outcomes. We undertook a systematic review to determine whether strategies to subclassify type 2 diabetes were associated with high quality evidence, reproducible results and improved outcomes for patients.METHODS: We searched PubMed and Embase for publications that used 'simple subclassification' approaches using simple categorisation of clinical characteristics, or 'complex subclassification' approaches which used machine learning or 'omics approaches in people with established type 2 diabetes. We excluded other diabetes subtypes and those predicting incident type 2 diabetes. We assessed quality, reproducibility and clinical relevance of extracted full-text articles and qualitatively synthesised a summary of subclassification approaches.RESULTS: Here we show data from 51 studies that demonstrate many simple stratification approaches, but none have been replicated and many are not associated with meaningful clinical outcomes. Complex stratification was reviewed in 62 studies and produced reproducible subtypes of type 2 diabetes that are associated with outcomes. Both approaches require a higher grade of evidence but support the premise that type 2 diabetes can be subclassified into clinically meaningful subtypes.CONCLUSION: Critical next steps toward clinical implementation are to test whether subtypes exist in more diverse ancestries and whether tailoring interventions to subtypes will improve outcomes.

Published
2023

33. A Systematic Review of the use of Precision Diagnostics in Monogenic Diabetes

Author

Gloyn, Anna L, primary, Murphy, Rinki, additional, Colclough, Kevin, additional, Pollin, Toni, additional, Ikle, Jennifer M, additional, Svalastoga, Pernille, additional, Maloney, Kristin, additional, Saint-Martin, Cecile, additional, Molnes, Janne, additional, Misra, Shivani, additional, Aukrust, Ingvild, additional, De Franco, Elisa, additional, Flanagan, Sarah, additional, Njolstad, Pal Rasmus, additional, Billings, Liana K, additional, and Owen, Katharine R, additional

Published
2023
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36. Systematic review of precision subclassification of type 2 diabetes

Author

Misra, Shivani, Wagner, Robert, Ozkan, Bige, Schön, Martin, Sevilla-Gonzalez, Magdalena, Prystupa, Katsiaryna, Wang, Caroline C., Kreienkamp, Raymond J., Cromer, Sara J., Rooney, Mary R., Duan, Daisy, Thuesen, Anne Cathrine Baun, Wallace, Amelia S., Leong, Aaron, Deutsch, Aaron J., Andersen, Mette K., Billings, Liana K., Eckel, Robert H, Sheu, Wayne Huey-Herng, Hansen, Torben, Stefan, Norbert, Goodarzi, Mark O., Ray, Debashree, Selvin, Elizabeth, Florez, Jose C., Meigs, James B., and Udler, Miriam S.

Subjects
Article
Abstract

Heterogeneity in type 2 diabetes presentation, progression and treatment has the potential for precision medicine interventions that can enhance care and outcomes for affected individuals. We undertook a systematic review to ascertain whether strategies to subclassify type 2 diabetes are associated with improved clinical outcomes, show reproducibility and have high quality evidence. We reviewed publications that deployed ‘simple subclassification’ using clinical features, biomarkers, imaging or other routinely available parameters or ‘complex subclassification’ approaches that used machine learning and/or genomic data. We found that simple stratification approaches, for example, stratification based on age, body mass index or lipid profiles, had been widely used, but no strategy had been replicated and many lacked association with meaningful outcomes. Complex stratification using clustering of simple clinical data with and without genetic data did show reproducible subtypes of diabetes that had been associated with outcomes such as cardiovascular disease and/or mortality. Both approaches require a higher grade of evidence but support the premise that type 2 diabetes can be subclassified into meaningful groups. More studies are needed to test these subclassifications in more diverse ancestries and prove that they are amenable to interventions.

Published
2023

38. sj-pdf-1-dst-10.1177_19322968231161076 – Supplemental material for Variation in the Current Use of Technology to Support Diabetes Management in UK Hospitals: Results of a Survey of Health Care Professionals

Author

Lumb, Alistair, Misra, Shivani, Rayman, Gerry, Avari, Parizad, Flanagan, Daniel, Choudhary, Pratik, and Dhatariya, Ketan

Subjects
111708 Health and Community Services, FOS: Clinical medicine, 111199 Nutrition and Dietetics not elsewhere classified, Medicine, FOS: Health sciences, 110306 Endocrinology
Abstract

Supplemental material, sj-pdf-1-dst-10.1177_19322968231161076 for Variation in the Current Use of Technology to Support Diabetes Management in UK Hospitals: Results of a Survey of Health Care Professionals by Alistair Lumb, Shivani Misra, Gerry Rayman, Parizad Avari, Daniel Flanagan, Pratik Choudhary and Ketan Dhatariya in Journal of Diabetes Science and Technology

Published
2023
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39. Addressing health inequalities in diabetes through research: Recommendations from Diabetes UK 's 2022 health inequalities in diabetes workshop

Author

Chan, Jodie, primary, Blane, David, additional, Choudhary, Pratik, additional, Chowdhury, Tahseen A., additional, Goyal, Aaliya, additional, Hanif, Wasim, additional, Jacca, Joyce, additional, Mathur, Rohini, additional, Misra, Shivani, additional, Ocran, Nana, additional, Rutter, Martin K., additional, Studley, Ruth, additional, Treweek, Shaun, additional, Valabhji, Jonathan, additional, and Khunti, Kamlesh, additional

Published
2022
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