Digital Solutions to Diagnose and Manage Postbariatric Hypoglycemia
Open accessAbstract
Postbariatric hypoglycemia (PBH) is an increasingly recognized late metabolic complication of bariatric surgery, characterized by low blood glucose levels 1–3 h after a meal, particularly if the meal contains rapid-acting carbohydrates. PBH can often be effectively managed through appropriate nutritional measures, which remain the cornerstone treatment today. However, their implementation in daily life continues to challenge both patients and health care providers. Emerging digital technologies may allow for more informed and improved decision-making through better access to relevant data to manage glucose levels in PBH. Examples include applications for automated food analysis from meal images, digital receipts of purchased food items or integrated platforms allowing the connection of continuously measured glucose with food and other health-related data. The resulting multi-dimensional data can be processed with artificial intelligence systems to develop prediction algorithms and decision support systems with the aim of improving glucose control, safety, and quality of life of PBH patients. Digital innovations, however, face trade-offs between user burden vs. amount and quality of data. Further challenges to their development are regulatory non-compliance regarding data ownership of the platforms acquiring the required data, as well as user privacy concerns and compliance with regulatory requirements. Through navigating these trade-offs, digital solutions could significantly contribute to improving the management of PBH.
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Continuous glucose monitoring systems measure blood glucose levels in real time every 1 to 5 minutes for several consecutive days.
“the use of continuous glucose monitoring (CGM) systems, which measure BG levels in real time every 1 to 5 minutes for several consecutive days, can drastically improve PBH management.7”
From Design and Usability Assessment of a User-Centered, Modular Platform for Real-World Data Acquisition in Clinical Trials Involving Post-Bariatric Surgery Patients (2025) · cites this paper as [7]
The Role of Continuous Glucose Monitoring section says CGM measures interstitial glucose every 5 minutes and enables real-time visualization; it also describes potential benefits for PBH management. It does not establish measurements every 1–5 minutes or for several consecutive days, and interstitial glucose is not the same as direct blood-glucose measurement. (LLM, conf=0.88)
Experimental — accuracy not yet measuredCGM systems combined with a dedicated mobile application can help patients track their blood glucose levels to promptly identify hypoglycemic events, monitor the impact of diet and exercise on metabolism, and receive personalized recommendations.
“In fact, CGM systems, combined with a dedicated mobile application, can help patients tracking their BG levels to promptly identify hypoglycemic events, but also monitor the impact of diet and exercise on the metabolism and receive personalized recommendations.”
From Design and Usability Assessment of a User-Centered, Modular Platform for Real-World Data Acquisition in Clinical Trials Involving Post-Bariatric Surgery Patients (2025) · cites this paper as [7]
The Role of Continuous Glucose Monitoring describes real-time glucose tracking, detection of hypoglycemic events, and using meal-related glucose patterns to guide dietary choices (page not provided). Digital Platforms for Multi-Level Data Integration and Decision Support describes a mobile app combining CGM, meal logs, and activity data. However, personalized recommendations are described for a separate digital-receipts app, not as a function of the CGM-integrated app; the paper also does not establish that this app shows patients the metabolic impact of exercise. (LLM, conf=0.83)
Experimental — accuracy not yet measured
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Cites
Personalized nutrition by prediction of glycemic responses
Zeevi, D., Korem, T., Zmora, N., Israeli, D., Rothschild, D., Weinberger, A., Ben-Yacov, O., Lador, D., Avnit-Sagi, T., Lotan-Pompan, M., et al. (2015) · Cell · doi:10.1016/j.cell.2015.11.001 · Cited by 2,929 · see citing works
Blundell, J. E., Baker, J. L., Boyland, E. J., Blaak, E. E., Charzewska, J., Henauw, S. D., Frühbeck, G., González‐Gross, M., Hebebrand, J., Holm, L., et al. (2017) · Obesity Facts · doi:10.1159/000455952 · Cited by 1,980 · see citing works
IFSO Worldwide Survey 2016: Primary, Endoluminal, and Revisional Procedures
Angrisani, L., Santonicola, A., Iovino, P., Vitiello, A., Higa, K., Himpens, J., Buchwald, H., & Scopinaro, N. (2018) · Obesity Surgery · doi:10.1007/s11695-018-3450-2 · Cited by 1,032 · see citing works
6. Glycemic Targets: <i>Standards of Medical Care in Diabetes—2021</i>
American Diabetes Association (2021) · Diabetes Care · doi:10.2337/dc21-s006 · Cited by 847 · see citing works
International Hypoglycaemia Study Group (2017) · Diabetes Care · doi:10.2337/dc16-2215 · Cited by 608 · see citing works
Continuous glucose monitoring: a review of recent studies demonstrating improved glycemic outcomes
Rodbard, D. (2017) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2017.0035 · Cited by 458 · see citing works
van Herpen, E., & van Trijp, J. C. M. (2011) · Appetite · doi:10.1016/j.appet.2011.04.011 · Cited by 371 · see citing works
Blockade of Glucagon-like Peptide 1 Receptor Corrects Postprandial Hypoglycemia After Gastric Bypass
Salehi, M., Gastaldelli, A., & D'Alessio, D. A. (2014) · Gastroenterology · doi:10.1053/j.gastro.2013.11.044 · Cited by 289 · see citing works
A review of personalized blood glucose prediction strategies for T1DM patients
Oviedo, S., Vehí, J., Calm, R., & Armengol, J. (2017) · International Journal for Numerical Methods in Biomedical Engineering · doi:10.1002/cnm.2833 · Cited by 279 · see citing works
Carbohydrate counting accuracy and blood glucose variability in adults with type 1 diabetes
Brazeau, A., Mircescu, H., Desjardins, K., Leroux, C., Strychar, I. M., Ékoé, J.-M., & RABASA-LHORET, R. P. R. (2012) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2012.10.024 · Cited by 266 · see citing works
International consensus on the diagnosis and management of dumping syndrome
Scarpellini, E., Arts, J., Karamanolis, G., Laurenius, A., Siquini, W., Suzuki, H., Ukleja, A., van Beek, A. V., Vanuytsel, T., Bor, S., et al. (2020) · Nature Reviews Endocrinology · doi:10.1038/s41574-020-0357-5 · Cited by 247 · see citing works
Lončar-Turukalo, T., Zdravevski, E., da Silva, J. M., Chouvarda, I., & Trajkovik, V. (2019) · Journal of Medical Internet Research · doi:10.2196/14017 · Cited by 240 · see citing works
Cavin, J., Couvelard, A., Lebtahi, R., Ducroc, R. A., Arapis, K., Voitellier, É., Cluzeaud, F., Gillard, L., Hourseau, M., Mikaïl, N., et al. (2015) · Gastroenterology · doi:10.1053/j.gastro.2015.10.009 · Cited by 220 · see citing works
McLaughlin, T., Peck, M., Holst, J., & Deacon, C. (2010) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2009-1628 · Cited by 183 · see citing works
Zecchin, C., Facchinetti, A., Sparacino, G., Nicolao, G. D., & Cobelli, C. (2012) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2012.2188893 · Cited by 181 · see citing works
Self-citationA systematic methodology to estimate added sugar content of foods
Louie, J. C. Y., Moshtaghian, H., Boylan, S. M., Flood, V. M., Rangan, A., Barclay, A. W., Brand-Miller, J. C., & Gill, T. P. (2014) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2014.256 · Cited by 180 · see citing works
“Turn it Off!”: Diabetes Device Alarm Fatigue Considerations for the Present and the Future
Shivers, J. P., Mackowiak, L., Anhalt, H., & Zisser, H. (2013) · Journal of Diabetes Science and Technology · doi:10.1177/193229681300700324 · Cited by 159 · see citing works
Svane, M. S., Bojsen-Møller, K. N., Martinussen, C., Dirksen, C., Madsen, J. L., Reitelseder, S., Holm, L., Rehfeld, J. F., Kristiansen, V. B., van Hall, G., et al. (2019) · Gastroenterology · doi:10.1053/j.gastro.2019.01.262 · Cited by 152 · see citing works
To what extent do food purchases reflect shoppers’ diet quality and nutrient intake?
Appelhans, B. M., French, S. A., Tangney, C., Powell, L. M., & Wang, Y. (2017) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-017-0502-2 · Cited by 149 · see citing works
Kefurt, R., Langer, F., Schindler, K., Shakeri-Leidenmühler, S., Ludvik, B., & Prager, G. (2015) · Surgery for Obesity and Related Diseases · doi:10.1016/j.soard.2014.11.003 · Cited by 143 · see citing works
Exaggerated secretion of glucagon-like peptide-1 (GLP-1) could cause reactive hypoglycaemia
Toft-Nielsen, M., Madsbad, S., & Holst, J. J. (1998) · Diabetologia · doi:10.1007/s001250051049 · Cited by 132 · see citing works
Incidence of Hypoglycemia After Gastric Bypass vs Sleeve Gastrectomy: A Randomized Trial
Capristo, E., Panunzi, S., Gaetano, A. D., Spuntarelli, V., Bellantone, R. D. A., Giustacchini, P., Birkenfeld, A. L., Amiel, S. A., Bornstein, S. R., Raffaelli, M., et al. (2018) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2017-01695 · Cited by 125 · see citing works
Jenkins, D. J. A., Gassull, M. A., Leeds, A. R., Metz, G., Dilawari, J. B., Slavin, B., & Blendis, L. M. (1977) · Gastroenterology · doi:10.1016/s0016-5085(19)32189-4 · Cited by 124 · see citing works
Rhyner, D., Loher, H., Dehais, J., Anthimopoulos, M., Shevchik, S. A., Botwey, R. H., Duke, D. L., Stettler, C., Diem, P., & Mougiakakou, S. G. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5567 · Cited by 117 · see citing works
Feature-Based Machine Learning Model for Real-Time Hypoglycemia Prediction
Dave, D., DeSalvo, D. J., Haridas, B., McKay, S. V., Shenoy, A., Koh, C. J., Lawley, M., & Erraguntla, M. (2020) · Journal of Diabetes Science and Technology · doi:10.1177/1932296820922622 · Cited by 115 · see citing works
Critical role for GLP-1 in symptomatic post-bariatric hypoglycaemia
Craig, C. M., Liu, L.-F., Deacon, C., Holst, J., & McLaughlin, T. (2016) · Diabetologia · doi:10.1007/s00125-016-4179-x · Cited by 114 · see citing works
goFOODTM: An Artificial Intelligence System for Dietary Assessment
Lu, Y. L., Stathopoulou, T., Vasiloglou, M. F., Pinault, L. F., Kiley, C., Spanakis, E. K., & Mougiakakou, S. G. (2020) · Sensors · doi:10.3390/s20154283 · Cited by 108 · see citing works
Yale, J.-F., Paty, B., & Senior, P. A. (2018) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2017.10.010 · Cited by 105 · see citing works
Camastra, S., Muscelli, E., Gastaldelli, A., Holst, J. J., Astiarraga, B., Baldi, S., Nannipieri, M., Ciociaro, D., Anselmino, M., Mari, A., et al. (2013) · Diabetes · doi:10.2337/db13-0321 · Cited by 104 · see citing works
Front-of-pack nutrition labelling: are multiple formats a problem for consumers?
Draper, A., Adamson, A., Clegg, S. R., Malam, S., Rigg, M., & Duncan, S. (2011) · European Journal of Public Health · doi:10.1093/eurpub/ckr144 · Cited by 103 · see citing works
Ransley, J. K., Donnelly, J. K., Botham, H., Khara, T., Greenwood, D. C., & Cade, J. E. (2003) · Appetite · doi:10.1016/s0195-6663(03)00051-5 · Cited by 99 · see citing works
Computer Vision-Based Carbohydrate Estimation for Type 1 Patients With Diabetes Using Smartphones
Anthimopoulos, M., Dehais, J., Shevchik, S. A., Botwey, R. H., Duke, D. L., Diem, P., & Mougiakakou, S. G. (2015) · Journal of Diabetes Science and Technology · doi:10.1177/1932296815580159 · Cited by 92 · see citing works
Gastric Bypass Reduces Symptoms and Hormonal Responses in Hypoglycemia
Abrahamsson, N., Lau, J., Sundbom, M., Wiklund, U., Karlsson, F. A., & Eriksson, J. W. (2016) · Diabetes · doi:10.2337/db16-0341 · Cited by 92 · see citing works
The Carbohydrate Counting in Adolescents With Type 1 Diabetes (CCAT)Study
Bishop, F. K., Maahs, D. M., Spiegel, G., Owen, D., KLINGENSMITH, G. J., Bortsov, A. V., Thomas, J. M., & Mayer‐Davis, E. J. (2009) · Diabetes Spectrum · doi:10.2337/diaspect.22.1.56 · Cited by 90 · see citing works
A Comparative Study on Carbohydrate Estimation: GoCARB vs. Dietitians
Vasiloglou, M. F., Mougiakakou, S. G., Aubry, E., Bokelmann, A., Fricker, R., Gomes, F., Guntermann, C., Meyer, A. L., Studerus, D., & Stanga, Z. G. (2018) · Nutrients · doi:10.3390/nu10060741 · Cited by 87 · see citing works
Rate-of-Change Dependence of the Performance of Two CGM Systems During Induced Glucose Swings
Pleus, S., Schoemaker, M., Morgenstern, K., Schmelzeisen‐Redeker, G., Haug, C., Link, M., Zschornack, E., & Freckmann, G. (2015) · Journal of Diabetes Science and Technology · doi:10.1177/1932296815578716 · Cited by 84 · see citing works
Continuous Glucose Monitoring for Evaluation of Glycemic Excursions after Gastric Bypass
Halperin, F., Patti, M., Skow, M., Bajwa, M., & Goldfine, A. (2011) · Journal of Obesity · doi:10.1155/2011/869536 · Cited by 82 · see citing works
Time‐dependent effects of fatty acids on skeletal muscle metabolism
Hirabara, S. M., Silveira, L. R., Abdulkader, F., Carvalho, C. R. D. O., Procópio, J., & Curi, R. (2006) · Journal of Cellular Physiology · doi:10.1002/jcp.20811 · Cited by 80 · see citing works
Prendin, F., Favero, S. D., Vettoretti, M., Sparacino, G., & Facchinetti, A. (2021) · Sensors · doi:10.3390/s21051647 · Cited by 77 · see citing works
Self-citationAccuracy of Carbohydrate Counting in Adults
Meade, L. T., & Rushton, W. E. (2016) · Clinical Diabetes · doi:10.2337/diaclin.34.3.142 · Cited by 72 · see citing works
Prediction of Adverse Glycemic Events From Continuous Glucose Monitoring Signal
Gadaleta, M., Facchinetti, A., Grisan, E., & Rossi, M. (2018) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2018.2823763 · Cited by 67 · see citing works
Self-citationHypoglycemia in everyday life after gastric bypass and duodenal switch
Abrahamsson, N., Engström, B. E., Sundbom, M., & Karlsson, F. A. (2015) · European Journal of Endocrinology · doi:10.1530/eje-14-0821 · Cited by 64 · see citing works
The Opportunity and Obstacles for Smartwatches and Wearable Sensors
Foster, K. R., & Torous, J. (2019) · IEEE Pulse · doi:10.1109/mpuls.2018.2885832 · Cited by 62 · see citing works
Julia, C., Méjean, C., Touvier, M., Péneau, S., Lassale, C., Ducrot, P., Hercberg, S., & Kesse-Guyot, E. (2016) · European Journal of Nutrition · doi:10.1007/s00394-015-1006-y · Cited by 58 · see citing works
The factors affecting on estimation of carbohydrate content of meals in carbohydrate counting
Kawamura, T., Takamura, C., Hirose, M., Hashimoto, T., Higashide, T., Kashihara, Y., Hashimura, K., & Shintaku, H. (2015) · Clinical Pediatric Endocrinology · doi:10.1297/cpe.24.153 · Cited by 53 · see citing works
Postprandial hypoglycemia after gastric bypass surgery
Honka, H., & Salehi, M. (2019) · Current Opinion in Clinical Nutrition & Metabolic Care · doi:10.1097/mco.0000000000000574 · Cited by 46 · see citing works
Botros, N., Rijnaarts, I., Brandts, H., Bleumink, G., Janssen, I., & de Boer, H. D. (2014) · Obesity Surgery · doi:10.1007/s11695-014-1319-6 · Cited by 45 · see citing works
van Sloun, B., Goossens, G. H., Erdõs, B., Lenz, M., van Riel, N. A. W., & Arts, I. C. W. (2020) · Nutrients · doi:10.3390/nu12103211 · Cited by 43 · see citing works
KNEEPKENS, C. M. F., FERNANDES, J., & VONK, R. J. (1988) · Acta Paediatrica · doi:10.1111/j.1651-2227.1988.tb10643.x · Cited by 40 · see citing works
Liu, J., Rehm, C. D., Shi, P., McKeown, N. M., Mozaffarian, D., & Micha, R. (2020) · PLoS ONE · doi:10.1371/journal.pone.0231572 · Cited by 40 · see citing works
Towards Identification of Packaged Products via Computer Vision
Fuchs, K., Grundmann, T., & Fleisch, E. (2019) · International Conference on the Internet of Things (IoT) · doi:10.1145/3365871.3365899 · Cited by 38 · see citing works
Self-citationSanz, A. J. L., Mulla, C. M., Fowler, K. M., Cloutier, E., Goldfine, A. B., Newswanger, B., Cummins, M. J., Deshpande, S., Prestrelski, S. J., Strange, P., et al. (2018) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2017.0298 · Cited by 34 · see citing works
Kandel, D., Bojsen-Møller, K. N., Svane, M. S., Samkani, A., Astrup, A. V., Holst, J. J., Madsbad, S., & Krarup, T. (2018) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqy310 · Cited by 34 · see citing works
Richardson, T., Thomas, P., Ryder, J., & Kerr, D. E. (2005) · Diabetes Care · doi:10.2337/diacare.28.6.1316 · Cited by 34 · see citing works
Short-term prediction of glucose in type 1 diabetes using kernel adaptive filters
Georga, E. I., Príncipe, J. C., & Fotiadis, D. I. (2018) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-018-1859-3 · Cited by 34 · see citing works
Speth, P. A., Jansen, J. B., & Lamers, C. B. (1983) · Gut · doi:10.1136/gut.24.9.798 · Cited by 33 · see citing works
Herzig, D., Nakas, C. T., Stalder, J., Kosinski, C., Laesser, C. I., Dehais, J., Jaeggi, R., Leichtle, A. B., Dahlweid, F.-M., Stettler, C., et al. (2019) · JMIR mhealth and uhealth · doi:10.2196/15294 · Cited by 32 · see citing works
Self-citationRayannavar, A., Elci, O. U., Mitteer, L., & De León, D. D. (2019) · Hormone Research in Paediatrics · doi:10.1159/000506230 · Cited by 31 · see citing works
Zaharieva, D. P., Miadovnik, L. A., Rowan, C. P., Gumieniak, R. J., Jamnik, V., & Riddell, M. C. (2015) · Diabetic Medicine · doi:10.1111/dme.12857 · Cited by 30 · see citing works
Tharrey, M., Dubois, C., Maillot, M., Vieux, F., Méjean, C., Pérignon, M., & Darmon, N. (2018) · Public Health Nutrition · doi:10.1017/s1368980018003154 · Cited by 30 · see citing works
Prevalence of hypoglycaemia in a random population after Roux-en-Y gastric bypass after a meal test
Emous, M., van den Broek, M., Wijma, R. B., de Heide, L. J. M., van Dijk, G., Laskewitz, A. J., Totté, E., Wolffenbuttel, B. H. R., & van Beek, A. P. (2019) · Endocrine Connections · doi:10.1530/ec-19-0268 · Cited by 30 · see citing works
Mönninghoff, A., Fuchs, K., Wu, J., Albert, J. L., & Mayer, S. (2022) · Journal of Medical Internet Research · doi:10.2196/32487 · Cited by 30 · see citing works
Self-citationThe feasibility and utility of grocery receipt analyses for dietary assessment
Martin, S. L., Howell, T. L., Duan, Y. P., & Walters, M. (2006) · Nutrition Journal · doi:10.1186/1475-2891-5-10 · Cited by 27 · see citing works
Evaluation of carbohydrate restriction as primary treatment for post-gastric bypass hypoglycemia.
van Meijeren, J., Timmer, I., Brandts, H., Janssen, I., & de Boer, H. D. (2017) · Surgery for Obesity and Related Diseases · doi:10.1016/j.soard.2016.11.004 · Cited by 27 · see citing works
Brewster, P. J., Durward, C. M., Hurdle, J. F., Stoddard, G. J., & Guenther, P. M. (2018) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2018.08.165 · Cited by 22 · see citing works
Wu, J., Fuchs, K., Lian, J., Haldimann, M. L., Schneider, T., Mayer, S., Byun, J., Gassmann, R., Brombach, C., & Fleisch, E. (2021) · Nutrients · doi:10.3390/nu14010159 · Cited by 21 · see citing works
Self-citationCappon, G., Cossu, L., Boscari, F., Bruttomesso, D., Sparacino, G., & Facchinetti, A. (2022) · Journal of Diabetes Science and Technology · doi:10.1177/19322968211024620 · Cited by 18 · see citing works
Self-citationCounterregulatory responses to postprandial hypoglycemia after Roux-en-Y gastric bypass
Øhrstrøm, C. C., Hansen, D. L., Kielgast, U. L., Bergmann, M., Veedfald, S., Holst, J. J., & Worm, D. (2020) · Surgery for Obesity and Related Diseases · doi:10.1016/j.soard.2020.08.037 · Cited by 16 · see citing works
Feasibility of a Healthy Trolley Index to assess dietary quality of the household food supply
Taylor, A. J., Wilson, F., Hendrie, G. A., Allman-Farinelli, M. A., & Noakes, M. (2015) · British Journal Of Nutrition · doi:10.1017/s0007114515003827 · Cited by 16 · see citing works
Defining clinically important hypoglycemia in patients with postbariatric hypoglycemia.
Craig, C. M., & McLaughlin, T. (2021) · Surgery for Obesity and Related Diseases · doi:10.1016/j.soard.2021.06.013 · Cited by 12 · see citing works
Improving customer decisions in web-based e-commerce through guerrilla modding
Mayer, S., Fuchs, K., Brügger, D., Lian, J., & Ciortea, A. (2021) · Nature Machine Intelligence · doi:10.1038/s42256-021-00424-w · Cited by 9 · see citing works
Self-citationMönninghoff, A., Fuchs, K., Wu, J., et al. (2021) · doi:10.2196/preprints.32487 · Cited by 2 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- [61]Fuchs KL Haldimann M Zeltner M Ilic A. Icon-based digital food allergen labels for complementation of text-based declaration. In: Proceedings of the 28th European Conference on Information Systems (ECIS), An Online AIS Conference (2020). Available online at: https://aisel.aisnet.org/ecis2020_rp/111
Cited by
Sorted by citations
Persistent post-bariatric-surgery hypoglycemia: A long-term follow-up reassessment
Ostrovsky, V., Knobler, H., Lazar, L. O., Pines, G., Kuniavsky, T., Cohen, L., Schiller, T., Kirzhner, A., & Zornitzki, T. (2023) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2023.02.012 · Cited by 15 · see citing works
Dumping Syndrome after Bariatric Surgery
Nofal, M. N., Yousef, A. J., Alkhawaldeh, I. M., Al-Jafari, M., Zuaiter, S., & Eddin, S. Z. (2024) · Annali Italiani di Chirurgia · doi:10.62713/aic.3422 · Cited by 14 · see citing works
Strecker, J. R., Wu, J., Bektaş, K., Vaslin, C., & Mayer, S. (2024) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3613905.3650795 · Cited by 11 · see citing works
Self-citationKarimi, M., & Gargari, O. K. (2024) · Frontiers in Surgery · doi:10.3389/fsurg.2024.1449012 · Cited by 9 · see citing works
Tripyla, A., Ferreira, A., Schönenberger, K. A., Näf, N. H., Inderbitzin, L. E., Prendin, F., Cossu, L., Cappon, G., Facchinetti, A., Herzig, D., et al. (2023) · Diabetes Care · doi:10.2337/dc23-0454 · Cited by 8 · see citing works
Self-citationEvolution of blood glucose self-monitoring technology
Суплотова, Л. А., & Alieva, O. O. (2023) · Diabetes Mellitus · doi:10.14341/dm13063 · Cited by 7 · see citing works
Proposed treatment strategy for reactive hypoglycaemia
Younes, Y. R., Cron, N., Field, B. C. T., Nayyar, V., Clark, J., Zachariah, S., Lakshmipathy, K., Isuga, J., Maghsoodi, N., & Emmanuel, J. J. (2024) · Frontiers in Endocrinology · doi:10.3389/fendo.2024.1332702 · Cited by 6 · see citing works
Dumping Syndrome in Children: A Narrative Review
Al-Jafari, M., Alrosan, S., Alkhawaldeh, I. M., Eddin, S. Z., Abu‐Jeyyab, M., & Zuaiter, S. (2023) · Cureus · doi:10.7759/cureus.41407 · Cited by 4 · see citing works
Cossu, L., Prendin, F., Cappon, G., Herzig, D., Bally, L., & Facchinetti, A. (2025) · Clinical eHealth · doi:10.1016/j.ceh.2025.01.003 · Cited by 2 · see citing works
Self-citationCossu, L., Cappon, G., Streicher, O., Herzig, D., Bally, L., & Facchinetti, A. (2025) · Journal of Diabetes Science and Technology · doi:10.1177/19322968231220061 · Cited by 1 · see citing works
Self-citationMohammadyari, F., Aflak, A., hezaveh, S. M., Eidi, A., Taati-Alamdari, Y., Hamidi, Z., Najipoor, M., & Olangian-Tehrani, S. (2025) · Discover medicine · doi:10.1007/s44337-025-00310-z · Cited by 1 · see citing works
The Role of the Dietitian in a Multidisciplinary Metabolic and Bariatric Surgery Team
Santella, B., & Schiavo, L. (2025) · Springer eBooks · doi:10.1007/978-981-96-5099-6_4 · Cited by 1 · see citing works
Post-bariatric Hypoglycemia Management: A Gulf Cooperation Council Consensus Statement
Abdelgadir, E., Rashid, F., Awadi, F. A. A., Busaidi, N. A., Alfaris, N., Hadad, M. A., Alkaabi, J., Kharusi, A. A., Al-Ozairi, E., Alromaihi, D., et al. (2025) · Journal of the Endocrine Society · doi:10.1210/jendso/bvaf225 · Cited by 3 · see citing works
Cossu, L., Cappon, G., Wortmann, F., Herzig, D., Bally, L., & Facchinetti, A. (2026) · Frontiers in Digital Health · doi:10.3389/fdgth.2026.1758474 · Cited by 1 · see citing works
Self-citationRole of Myokines and prospects for their role in Diabetes Mellitus Therapy
Nuriya, K., Farida, M., Sharma, R., Liliya, S., Mkhitaryan, X. E., Chergizova, B., Salikhova, Y., Niyazova, Y., Ryspayeva, G., Evnevich, A., et al. (2024) · Research Journal of Pharmacy and Technology · doi:10.52711/0974-360x.2024.00786
Wu, J., García, K., Mayer, S., & Albert, J. L. (2026) · Semantic Web · doi:10.1177/22104968261431445
Self-citation
- Authors
- Schönenberger, K. A., Cossu, L., Prendin, F., Cappon, G., Wu, J., Fuchs, K. L., Mayer, S., Herzig, D., Facchinetti, A., & Bally, L.
- Affiliations
- University of Bern (CH)
- University of Padua (IT)
- University of St.Gallen (CH)
- Corresponding author
- Bally, Lia
- ORCID
- Venue
- Frontiers in Nutrition
- Publisher
- Frontiers Media SA
- Published
- 2022-04-07
- Volume
- 9
- Pages
- 855223-855223
- ISSN
- 2296-861X (ISSN-L)
- PMC
- PMC9021863
- OpenAlex
- W4226345303
- Cited by
- 16
- References
- 71
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 5 · 2023: 5
- FWCI
- 0.83
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Nutrition (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- BORIS (University Library Bern) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Repository for Publications and Research Data (ETH Zurich) (submittedVersion, cc-by)
- Padua Research Archive (University of Padova) (submittedVersion, cc-by)
- ETH Zürich Research Collection
- Funders
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Topics
- Health Sciences › Medicine › Surgery › Bariatric Surgery and Outcomes
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Keywords
- bariatric surgery complications, digital health technologies, continuous glucose monitoring, artificial intelligence prediction, decision support system, glycemic control, data ownership, user privacy, regulatory compliance, dietary management
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