Time in range in pregnancy: is there a role?
Open accessAbstract
Continuous glucose monitoring (CGM) is being used with increasing frequency as an adjunct to self-monitoring of blood glucose in pregnancy, and novel targets based on CGM data are becoming standardized. This adoption of CGM is the result of its improving accuracy, patient preference, and evolving data demonstrating associations of novel targets such as time in range (TIR) with pregnancy and neonatal outcomes. A greater understanding of the relationship of various CGM metrics to outcomes in pregnancy complicated by diabetes is needed. It is clear that TIR parameters need to be uniquely lower for pregnant women than for nonpregnant individuals. CGM technology is also an integral part of hybrid closed-loop insulin delivery systems. These insulin delivery systems will be a significant advance in the management of diabetes during pregnancy if they can achieve the pre- and postprandial targets required for pregnancy and optimize TIR.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
There are insufficient data to support the use of CGM in all people with type 2 diabetes or GDM.
“There are insufficient data to support the use of CGM in all people with type 2 diabetes or GDM (53,54).”
From 15. Management of Diabetes in Pregnancy: <i>Standards of Care in Diabetes—2024</i> (2024) · cites this paper as [54]
The section on trials in type 2 diabetes or GDM says that CGM outcomes data are far less robust, with no RCTs specifically studying type 2 diabetes in pregnancy and limited data for GDM. That supports caution about universal CGM use during pregnancy, but the source does not address all people with type 2 diabetes outside pregnancy, as the citing sentence could imply. (LLM, conf=0.84)
Experimental — accuracy not yet measuredAt this time, data are insufficient to recommend CGM for all pregnant people with type 2 diabetes or gestational diabetes mellitus.
“At this time, data are insufficient to recommend the use of CGM in all pregnant people with type 2 diabetes or GDM (109,110).”
From 7. Diabetes Technology: Standards of Care in Diabetes—2025 (2025) · cites this paper as [110]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
International Association of Diabetes and Pregnancy Study Groups Consensus Panel (2010) · Diabetes Care · doi:10.2337/dc09-1848 · Cited by 5,390 · see citing works
Battelino, T., Danne, T., Bergenstal, R. M., Amiel, S. A., Beck, R., Biester, T., Bosi, E., Buckingham, B. A., Cefalu, W. T., Close, K. L., et al. (2019) · Diabetes Care · doi:10.2337/dci19-0028 · Cited by 4,032 · see citing works
2. Classification and Diagnosis of Diabetes: <i>Standards of Medical Care in Diabetes—2020</i>
American Diabetes Association (2020) · Diabetes Care · doi:10.2337/dc20-s002 · Cited by 3,187 · see citing works
International consensus on use of continuous glucose monitoring
Danne, T., Nimri, R., Battelino, T., Bergenstal, R. M., Close, K. L., DeVries, J. H., Garg, S., Heinemann, L., Hirsch, I., Amiel, S. A., et al. (2017) · Diabetes Care · doi:10.2337/dc17-1600 · Cited by 2,069 · see citing works
Metzger, B. E., Gabbe, S. G., Persson, B., Lowe, L. P., Dyer, A. R., Oats, J. J. N., & Buchanan, T. A. (2010) · Diabetes Care · doi:10.2337/dc10-0719 · Cited by 1,888 · see citing works
ACOG Practice Bulletin No. 190: Gestational Diabetes Mellitus
(2018) · Obstetrics & Gynecology · doi:10.1097/aog.0000000000002501 · Cited by 1,820 · see citing works
Standards of Medical Care in Diabetes—2008
Dora, J. M., Kramer, C. K., & Canani, L. H. S. (2008) · Diabetes Care · doi:10.2337/dc08-0109 · Cited by 1,414 · see citing works
Standards of Medical Care in Diabetes—2008
American Diabetes Association (2008) · Diabetes Care · doi:10.2337/dc08-s012 · Cited by 1,377 · see citing works
Feig, D. S., Donovan, L. E., Corcoy, R., Murphy, K. E., Amiel, S. A., Hunt, K. F., Asztalos, E., Barrett, J. F. R., Sanchez, J. J., de Leiva, A., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)32400-5 · Cited by 803 · see citing works
de Veciana, M., Major, C. A., Morgan, M. A., Asrat, T., Toohey, J. S., Lien, J. M., & Evans, A. T. (1995) · New England Journal of Medicine · doi:10.1056/nejm199511093331901 · Cited by 666 · see citing works
Miller, E., HARE, J. W., Cloherty, J. P., Dunn, P. J., Gleason, R. E., Soeldner, J. S., & Kitzmiller, J. L. (1981) · New England Journal of Medicine · doi:10.1056/nejm198105283042204 · Cited by 663 · see citing works
The relationships between time in range, hyperglycemia metrics, and HbA1c
Beck, R. W., Bergenstal, R. M., Cheng, P., Kollman, C., Carlson, A. L., Johnson, M. L., & Rodbard, D. (2019) · Journal of Diabetes Science and Technology · doi:10.1177/1932296818822496 · Cited by 479 · see citing works
Managing preexisting diabetes for pregnancy
Kitzmiller, J. L., Block, J. M., Brown, F. M., Catalano, P. M., Conway, D. L., Coustan, D. R., Gunderson, E. P., Herman, W. H., Hoffman, L. D., Inturrisi, M., et al. (2008) · Diabetes Care · doi:10.2337/dc08-9020 · Cited by 476 · see citing works
Self-citationPrevention of Congenital Malformations in Infants of Insulin-dependent Diabetic Mothers
Fuhrmann, K., Reiher, H., Semmler, K., Fischer, F., Fischer, M., & Glöckner, E. (1983) · Diabetes Care · doi:10.2337/diacare.6.3.219 · Cited by 437 · see citing works
Mills, J. L., Baker, L., & Goldman, A. S. (1979) · Diabetes · doi:10.2337/diab.28.4.292 · Cited by 412 · see citing works
Maternal postprandial glucose levels and infant birth weight: the diabetes in early pregnancy study
Jovanovic-Peterson, L., Peterson, C. M., Reed, G. F., Metzger, B. E., Mills, J. L., Knopp, R. H., & Aarons, J. H. (1991) · American Journal of Obstetrics and Gynecology · doi:10.1016/0002-9378(91)90637-7 · Cited by 411 · see citing works
Preconception Care of Diabetes
Kitzmiller, J. L. (1991) · JAMA · doi:10.1001/jama.1991.03460060063025 · Cited by 400 · see citing works
14. Management of Diabetes in Pregnancy: Standards of Medical Care in Diabetes—2020
American Diabetes Association (2019) · Diabetes Care · doi:10.2337/dc20-s014 · Cited by 396 · see citing works
Thompson, D. M., Berger, H. M., Feig, D. S., Gagnon, R. J., Kader, T., Keely, E., Kozak, S. E., Ryan, E. A., Sermer, M., & Vinokuroff, C. (2013) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2013.01.044 · Cited by 381 · see citing works
Murphy, H. R., Rayman, G., Lewis, K., Kelly, S., Johal, B., Duffield, K., Fowler, D., Campbell, P. J., & Temple, R. C. (2008) · BMJ · doi:10.1136/bmj.a1680 · Cited by 358 · see citing works
The outcome of diabetic pregnancies in relation to the mother's blood sugar level
Karlsson, K., & Kjellmer, I. (1972) · American Journal of Obstetrics and Gynecology · doi:10.1016/0002-9378(72)90118-4 · Cited by 357 · cited 1× · see citing works
“Associations of maternal glucose with fetoplacental function, mode of delivery, and neonatal hypoglycemia were noted (5).”
BackgroundMills, J. L., Knopp, R. H., Simpson, J. L., Jovanovic‐Peterson, L., Metzger, B. E., Holmes, L. B., Aarons, J. H., Brown, Z. A., Reed, G. F., Bieber, F. R., et al. (1988) · New England Journal of Medicine · doi:10.1056/nejm198803173181104 · Cited by 357 · see citing works
Feig, D. S., Berger, H., Donovan, L., Godbout, A., Kader, T., Keely, E., & Sanghera, R. (2018) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2017.10.038 · Cited by 344 · see citing works
Maternal postprandial glucose levels and infant birth weight: The Diabetes in Early Pregnancy Study
Jovanovic‐Peterson, L., Peterson, C. M., Reed, G. P., Metzger, B., Mills, J. L., Knopp, R., & Aarons, J. H. (1991) · International Journal of Gynecology & Obstetrics · doi:10.1016/0020-7292(91)90499-u · Cited by 322 · see citing works
Relationship of Fetal Macrosomia to Maternal Postprandial Glucose Control During Pregnancy
Combs, C. A., Gunderson, E., Kitzmiller, J. L., Gavin, L. A., & Main, E. K. (1992) · Diabetes Care · doi:10.2337/diacare.15.10.1251 · Cited by 315 · see citing works
Balsells, M., García‐Patterson, A., Gich, I. J., & Corcoy, R. (2009) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2009-1231 · Cited by 305 · see citing works
Suhonen, L., Hiilesmaa, V., & Teramo, K. (2000) · Diabetologia · doi:10.1007/s001250050010 · Cited by 302 · see citing works
Closed-Loop Insulin Delivery during Pregnancy in Women with Type 1 Diabetes
Stewart, Z. A., Wilinska, M. E., Hartnell, S., Temple, R. C., Rayman, G., Stanley, K. P., Simmons, D., Law, G. R., Scott, E. M., Hovorka, R., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1602494 · Cited by 279 · see citing works
Jovanovič, L., Druzin, M. L., & Peterson, C. M. (1981) · The American Journal of Medicine · doi:10.1016/0002-9343(81)90301-6 · Cited by 268 · cited 1× · see citing works
“Efforts to optimize diabetes control through SMBG were found to be associated with improved outcomes (8).”
BackgroundPeters, A. L., Ahmann, A. J., Battelino, T., Evert, A., Hirsch, I. B., Murad, M. H., Winter, W. E., & Wolpert, H. (2016) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2016-2534 · Cited by 250 · see citing works
Reddy, M., Jugnee, N., El Laboudi, A., Spanudakis, E., Anantharaja, S., & Oliver, N. (2018) · Diabetic Medicine · doi:10.1111/dme.13561 · Cited by 245 · see citing works
Guerin, A., Nisenbaum, R., & Ray, J. G. (2007) · Diabetes Care · doi:10.2337/dc07-0278 · Cited by 215 · see citing works
The Effect of Real-Time Continuous Glucose Monitoring in Pregnant Women With Diabetes
Secher, A. L., Ringholm, L., Andersen, H. U., Damm, P., & Mathiesen, E. R. (2013) · Diabetes Care · doi:10.2337/dc12-2360 · Cited by 214 · see citing works
Kristensen, K., Ögge, L. E., Sengpiel, V., Kjölhede, K., Dotevall, A., Elfvin, A., Knop, F. K., Wiberg, N., Katsarou, A., Shaat, N., et al. (2019) · Diabetologia · doi:10.1007/s00125-019-4850-0 · Cited by 210 · cited 5× · see citing works
“(2) did not find a difference in neonatal outcomes between participants who used rtCGM compared with iCGM.”
BackgroundMethodResultInfluentialCan prepregnancy care of diabetic women reduce the risk of abnormal babies?
Steel, J. M., Johnstone, F. D., Hepburn, D. A., & Smith, A. F. (1990) · BMJ · doi:10.1136/bmj.301.6760.1070 · Cited by 204 · see citing works
Measures of Accuracy for Continuous Glucose Monitoring and Blood Glucose Monitoring Devices
Freckmann, G., Pleus, S., Grady, M., Setford, S., & Levy, B. (2019) · Journal of Diabetes Science and Technology · doi:10.1177/1932296818812062 · Cited by 202 · see citing works
Shah, V. N., Laffel, L. M., Wadwa, R. P., & Garg, S. K. (2018) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2018.0143 · Cited by 197 · see citing works
Patterns of Glycemia in Normal Pregnancy
Hernandez, T. L., Friedman, J. E., Van Pelt, R. E., & Barbour, L. A. (2011) · Diabetes Care · doi:10.2337/dc11-0241 · Cited by 170 · see citing works
Stewart, Z. A., Wilinska, M. E., Hartnell, S., O’Neil, L. K., Rayman, G., Scott, E. M., Barnard, K., Farrington, C., Hovorka, R., & Murphy, H. R. (2018) · Diabetes Care · doi:10.2337/dc17-2534 · Cited by 168 · see citing works
Yu, F., Lv, L., Liang, Z., Wang, Y., Wen, J., Lin, X., Zhou, Y., Mai, C., & Niu, J. (2014) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2013-4332 · Cited by 162 · see citing works
Galván, C. A. G., Medellín Morales, A., Hg, T. S., Contreras, A. E. T., & Ovalle Berumen, F. (1981) · PubMed · Cited by 155 · see citing works
SCOTT, E. M., Bilous, R., & Kautzky‐Willer, A. (2018) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2017.0386 · Cited by 154 · see citing works
Landon, M. B., Gabbe, S. G., Piana, R. N., Mennuti, M. T., & Main, E. K. (1987) · American Journal of Obstetrics and Gynecology · doi:10.1016/0002-9378(87)90116-5 · Cited by 152 · see citing works
Voormolen, D. N., DeVries, J. H., Sanson, R. M. E., Heringa, M. P., de Valk, H. W., Kok, M., van Loon, A. J., Hoogenberg, K., Bekedam, D. J., Brouwer, T. C. B., et al. (2018) · Diabetes, Obesity and Metabolism · doi:10.1111/dom.13310 · Cited by 151 · see citing works
Preconception Care of Women With Diabetes
Kendrick, J. M. (2004) · The Journal of Perinatal & Neonatal Nursing · doi:10.1097/00005237-200401000-00003 · Cited by 143 · see citing works
HbA1c in Early Diabetic Pregnancy and Pregnancy Outcomes
Nielsen, G. L., Møller, M., & Sørensen, H. T. (2006) · Diabetes Care · doi:10.2337/dc06-0914 · Cited by 140 · see citing works
Preconception Care of Women With Diabetes
American Diabetes Association (2004) · Diabetes Care · doi:10.2337/diacare.27.2007.s76 · Cited by 138 · see citing works
Continuous glucose monitoring targets in type 1 diabetes pregnancy: every 5% time in range matters
Murphy, H. R. (2019) · Diabetologia · doi:10.1007/s00125-019-4904-3 · Cited by 137 · see citing works
Law, G. R., Alnaji, A., Alrefaai, L., Endersby, D., Cartland, S. J., Gilbey, S. G., Jennings, P. E., Murphy, H. R., & SCOTT, E. M. (2019) · Diabetes Care · doi:10.2337/dc18-2212 · Cited by 131 · see citing works
Law, G. R., Ellison, G. T. H., Secher, A. L., Damm, P., Mathiesen, E. R., Temple, R., Murphy, H. R., & SCOTT, E. M. (2015) · Diabetes Care · doi:10.2337/dc15-0070 · Cited by 128 · see citing works
Feig, D. S., Corcoy, R., Donovan, L., Murphy, K. E., Barrett, J. F. R., Sanchez, J., Wysocki, T., Ruedy, K. J., Kollman, C., TOMLINSON, G. A., et al. (2018) · Diabetes Care · doi:10.2337/dc18-1437 · Cited by 128 · see citing works
Comparative accuracy of 17 point-of-care glucose meters
Ekhlaspour, L., Mondesir, D., Lautsch, N., Balliro, C., Hillard, M., Magyar, K., Radocchia, L. G., Esmaeili, A., Sinha, M., & Russell, S. J. (2017) · Journal of Diabetes Science and Technology · doi:10.1177/1932296816672237 · Cited by 127 · see citing works
Significance and Reliability of MARD for the Accuracy of CGM Systems
Reiterer, F., Polterauer, P., Schoemaker, M., Schmelzeisen‐Redeker, G., Freckmann, G., Heinemann, L., & del Re, L. (2016) · Journal of Diabetes Science and Technology · doi:10.1177/1932296816662047 · Cited by 124 · see citing works
Brown, F. M., & Wyckoff, J. (2017) · Current Diabetes Reports · doi:10.1007/s11892-017-0922-z · Cited by 122 · see citing works
Self-citationManderson, J. G., Patterson, C., Hadden, D. R., Traub, A. I., Ennis, C. N., & McCance, D. R. (2003) · American Journal of Obstetrics and Gynecology · doi:10.1067/s0002-9378(03)00497-6 · Cited by 114 · see citing works
Tight metabolic control of overt diabetes in pregnancy
Coustan, D. R., Berkowitz, R. L., & Hobbins, J. C. (1980) · The American Journal of Medicine · doi:10.1016/0002-9343(80)90204-1 · Cited by 110 · cited 1× · see citing works
“Reductions in neonatal hyperbilirubinemia and respiratory distress were achieved with second- and thirdtrimester intensification of treatment toward euglycemia (6).”
BackgroundTrends in the incidence of diabetes, its clinical sequelae, and associated costs in pregnancy
Jovanovič, L., Liang, Y., Weng, W., Hamilton, M., Chen, L., & Wintfeld, N. (2015) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.2656 · Cited by 105 · see citing works
WEI, Q., SUN, Z., YANG, Y., YU, H., DING, H., & WANG, S. (2016) · Scientific Reports · doi:10.1038/srep19920 · Cited by 99 · cited 1× · see citing works
“…5.5 vs. 14% (P 5 0.011)*; hyperbilirubinemia 2.7 vs. 9.7% (P 5 0.012)*; no difference in SGA, NICU admissions, or neonatal respiratory distress syndrome† Wei et al., 2016 (49) Open-label RCT of second- or thirdtrimester rtCGM vs. standard care 106 women with GDM Primary outcomes: cesarean…”
BackgroundInfluentialKallas‐Koeman, M. M., Kong, J. M., Klinke, J. A., Butalia, S., Lodha, A. K., Lim, K. I., Duan, Q., & Donovan, L. (2014) · Diabetologia · doi:10.1007/s00125-014-3163-6 · Cited by 94 · see citing works
Cyganek, K., Skupien, J., Katra, B., Hebda-Szydlo, A., Janas, I., Trznadel-Morawska, I., Witek, P., Kozek, E., & Malecki, M. T. (2017) · Endocrine · doi:10.1007/s12020-016-1134-z · Cited by 94 · see citing works
Home Blood Glucose Monitoring As an Aid in Diabetes Management
Skyler, J. S., Lasky, I. A., Skyler, D. L., Robertson, E. G., & Mintz, D. H. (1978) · Diabetes Care · doi:10.2337/diacare.1.3.150 · Cited by 93 · see citing works
Scott, E. M., Feig, D. S., Murphy, H. R., Law, G. R., The CONCEPTT Collaborative Group, Murphy, H., Grisoni, J., Byrne, C., Neoh, S., Davenport, K., et al. (2020) · Diabetes Care · doi:10.2337/dc19-2527 · Cited by 85 · see citing works
Performance of the Dexcom G6 Continuous Glucose Monitoring System in Pregnant Women with Diabetes
CASTORINO, K. N., Polsky, S., O’Malley, G., Levister, C. M., Nelson, K., Farfan, C. C., BRACKETT, S. J., Puhr, S., & Levy, C. J. (2020) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2020.0085 · Cited by 79 · see citing works
Translating HbA1c measurements into estimated average glucose values in pregnant women with diabetes
Law, G. R., Gilthorpe, M. S., Secher, A. L., Temple, R., Bilous, R., Mathiesen, E. R., Murphy, H. R., & Scott, E. M. (2017) · Diabetologia · doi:10.1007/s00125-017-4205-7 · Cited by 77 · see citing works
Role of Continuous Glucose Monitoring in Diabetes Treatment
Hirsch, I., Battelino, T., Peters, A., Chamberlain, J., Aleppo, G., & Bergenstal, R. (2018) · American Diabetes Association eBooks · doi:10.2337/db20181 · Cited by 73 · see citing works
Paramasivam, S. S., Chinna, K., Singh, A. K. K., Ratnasingam, J., Ibrahim, L., Lim, L. L., Tan, A. T. B., Chan, S. P., Tan, P. C., Omar, S. Z., et al. (2018) · Diabetic Medicine · doi:10.1111/dme.13649 · Cited by 69 · see citing works
Different intensities of glycaemic control for pregnant women with pre-existing diabetes
Middleton, P., Crowther, C. A., & Simmonds, L. (2016) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd008540.pub4 · Cited by 64 · see citing works
Glycaemic control throughout pregnancy and risk of pre-eclampsia in women with type I diabetes
Temple, R., Aldridge, V, Stanley, K., & Murphy, H. (2006) · BJOG: An International Journal of Obstetrics & Gynaecology · doi:10.1111/j.1471-0528.2006.01071.x · Cited by 63 · see citing works
Ho, Y.-R., Wang, P., Lu, M.-C., Tseng, S.-T., Yang, C.-P., & Yan, Y.-H. (2017) · PLoS ONE · doi:10.1371/journal.pone.0177563 · Cited by 59 · see citing works
Petrovski, G., Dimitrovski, Č., Bogoev, M. K., Milenković, T., Ahmeti, I., & Bitovska, I. (2011) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2011.0081 · Cited by 54 · see citing works
Contraception for the Insulin-dependent Diabetic Woman: The View from One Clinic
Steel, J. M., & Duncan, L. J. P. (1980) · Diabetes Care · doi:10.2337/diacare.3.4.557 · Cited by 52 · see citing works
Murphy, H. R., Feig, D. S., Sanchez, J., de Portu, S., Sale, A., & the CONCEPTT Collaborative Group (2019) · Diabetic Medicine · doi:10.1111/dme.14046 · Cited by 50 · see citing works
Abell, S. K., Suen, M., Pease, A., Boyle, J. A., Soldatos, G., Regan, J., Wallace, E. M., & Teede, H. J. (2017) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2016.0412 · Cited by 46 · see citing works
Insulin pump dosing across gestation in women with well-controlled type 1 diabetes mellitus
Roeder, H., Moore, T. R., & Ramos, G. A. (2012) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2012.06.029 · Cited by 37 · see citing works
Self-monitoring of blood glucose by diabetic women during the third trimester of pregnancy
Hanson, U., Persson, B., Enochsson, E., Lennerhagen, P., Lindgren, F., LUNDSTRÖM, V., Lunell, N., Nilsson, B. A., Nilsson, L., Stangenberg, M., et al. (1984) · American Journal of Obstetrics and Gynecology · doi:10.1016/0002-9378(84)90455-1 · Cited by 35 · cited 1× · see citing works
“SMBG with a home meter yielded results similar to standard hospitalization protocols (7).”
ResultMulla, B. M., Noor, N., James-Todd, T. M., ISGANAITIS, E. M., Takoudes, T. C., Curran, A., Warren, C. E., O’Brien, K. E., & Brown, F. M. (2018) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2017.0443 · Cited by 34 · see citing works
Self-citationDiabetes Technology Use Among Pregnant and Nonpregnant Women with T1D in the T1D Exchange
Polsky, S., Wu, M., Bode, B. W., DuBose, S. N., Goland, R., Maahs, D. M., Foster, N. C., Peters, A. L., Levy, C. J., Shah, V. N., et al. (2018) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2018.0033 · Cited by 33 · see citing works
Kekäläinen, P., Juuti, M., Walle, T., & Laatikainen, T. K. (2015) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2015.0165 · Cited by 29 · see citing works
Kjölhede, K., Berntorp, K. E., Kristensen, K. H., Katsarou, A., Shaat, N., Wiberg, N., Knop, F. K., Kristensen, L., Dotevall, A., Elfvin, A., et al. (2020) · Acta Obstetricia Et Gynecologica Scandinavica · doi:10.1111/aogs.14039 · Cited by 25 · see citing works
Insulin dependent diabetes in pregnancy: Impact of maternal blood glucose control on the offspring
Persson, B. L., & Hanson, U. (1993) · Journal of Paediatrics and Child Health · doi:10.1111/j.1440-1754.1993.tb00433.x · Cited by 14 · see citing works
Time trends in pregnancy-related outcomes among women with type 1 diabetes mellitus, 2004–2017
Helman, S., James-Todd, T. M., Wang, Z., Bellavia, A., Wyckoff, J., Serdy, S., Halprin, E., O’Brien, K., Takoudes, T. C., Gupta, M., et al. (2020) · Journal of Perinatology · doi:10.1038/s41372-020-0698-x · Cited by 11 · see citing works
Self-citationLeguizamon (2000) · doi:10.1002/(sici)1520-6661(200001/02)9:1
Flagged first, then by citations
1 of the 83 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
7. Diabetes Technology: Standards of Care in Diabetes—2025
American Diabetes Association Professional Practice Committee, ElSayed, N. A., McCoy, R. G., Aleppo, G., Balapattabi, K., Beverly, E. A., Briggs Early, K., Bruemmer, D., Echouffo-Tcheugui, J. B., Ekhlaspour, L., et al. (2025) · Diabetes Care · doi:10.2337/dc25-s007 · Cited by 348 · see citing works
15. Management of Diabetes in Pregnancy: Standards of Care in Diabetes—2023
ElSayed, N. A., Aleppo, G., Aroda, V. R., Bannuru, R. R., Brown, F. M., Bruemmer, D., Collins, B. S., Hilliard, M. E., Isaacs, D. M., Johnson, E. L., et al. (2022) · Diabetes Care · doi:10.2337/dc23-s015 · Cited by 309 · see citing works
Self-citation7. Diabetes Technology: <i>Standards of Care in Diabetes—2024</i>
American Diabetes Association Professional Practice Committee, ElSayed, N. A., Aleppo, G., Bannuru, R. R., Bruemmer, D., Collins, B. S., Ekhlaspour, L., Hilliard, M. E., Johnson, E. L., Khunti, K., et al. (2024) · Diabetes Care · doi:10.2337/dc24-s007 · Cited by 281 · see citing works
“At this time, data are insuf fi cient for recommending the use of CGM in all pregnant people with type 2 diabetes or GDM (116,117).”
15. Management of Diabetes in Pregnancy: <i>Standards of Care in Diabetes—2024</i>
American Diabetes Association Professional Practice Committee, ElSayed, N. A., Aleppo, G., Bannuru, R. R., Bruemmer, D., Collins, B. S., Ekhlaspour, L., Hilliard, M. E., Johnson, E. L., Khunti, K., et al. (2024) · Diabetes Care · doi:10.2337/dc24-s015 · Cited by 232 · see citing works
15. Management of Diabetes in Pregnancy: Standards of Care in Diabetes—2025
American Diabetes Association Professional Practice Committee, ElSayed, N. A., McCoy, R. G., Aleppo, G., Balapattabi, K., Beverly, E. A., Briggs Early, K., Bruemmer, D., Echouffo-Tcheugui, J. B., Ekhlaspour, L., et al. (2025) · Diabetes Care · doi:10.2337/dc25-s015 · Cited by 252 · see citing works
Artificial Intelligence for Predicting and Diagnosing Complications of Diabetes
Huang, J. K., Yeung, A. M., Armstrong, D. G., Battarbee, A. N., Cuadros, J. A., Espinoza, J., Kleinberg, S., Mathioudakis, N. N., Swerdlow, M. A., & Klonoff, D. C. (2022) · Journal of Diabetes Science and Technology · doi:10.1177/19322968221124583 · Cited by 59 · see citing works
“Incorporation of novel data from CGM, which is becoming increasingly prevalent, 19 may improve the predictive ability of AI without sacrificing usability.”
BackgroundWyckoff, J., Lapolla, A., Asias-Dinh, B. D., Barbour, L. A., Brown, F. M., Catalano, P. M., Corcoy, R., Renzo, G. C. D., Drobycki, N., Kautzky‐Willer, A., et al. (2025) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgaf288 · Cited by 50 · see citing works
Self-citationA new continuous glucose monitor for the diagnosis of gestational diabetes mellitus: a pilot study
Filippo, D. D., Henry, A., Bell, C., Haynes, S., Chang, M. H. Y., Darling, J., & Welsh, A. W. (2023) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-023-05496-7 · Cited by 33 · see citing works
“Mean Mean of blood glucose level registered at CGM [19]”
BackgroundInfluentialContinuous Glucose Monitoring for the Diagnosis of Gestational Diabetes Mellitus: A Pilot Study
Filippo, D. D., Ahmadzai, M., Chang, M. H. Y., Horgan, K., Ong, R. M., Darling, J., Akhtar, M., Henry, A., & Welsh, A. W. (2022) · Journal of Diabetes Research · doi:10.1155/2022/5142918 · Cited by 30 · see citing works
“The mean sensor BGL of night 1 was found to be significantly lower than night 2 and 3 for women in which the first night of CGM monitoring was included (4:57 + / − 1:35 vs 4:91 + / − 0:99 vs 5:00 + / − 0:95 , p 0:001).”
MethodInfluentialWyckoff, J., Lapolla, A., Asias-Dinh, B. D., Barbour, L. A., Brown, F. M., Catalano, P. M., Corcoy, R., Renzo, G. C. D., Drobycki, N., Kautzky‐Willer, A., et al. (2025) · European Journal of Endocrinology · doi:10.1093/ejendo/lvaf116 · Cited by 20 · see citing works
“Whether these same benefits or glucometric targets will prove beneficial in pregnant individuals with T2DM requires adequately powered RCTs using current rtCGM technologies 204 .”
Self-citationGlycemic Variability in Early Pregnancy May Predict a Subsequent Diagnosis of Gestational Diabetes
Quah, P. L., Tan, L. K., Lek, N., Thain, S. P. T., & Tan, K. H. (2022) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s379616 · Cited by 16 · see citing works
Wang, Z., James-Todd, T. M., ISGANAITIS, E. M., O'CONNELL, J. C., Helman, S., Wyckoff, J., Serdy, S., Halprin, E., O’Brien, K., Gupta, M., et al. (2022) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2022.109854 · Cited by 13 · see citing works
Self-citationBhavadharini, B., Hannah, W., Popova, P., Ram, U., Deepa, M., Lunghar, J., Uthra, K., Sagili, H., Kamalanathan, S., Anjana, R. M., et al. (2025) · Journal of Diabetes Science and Technology · doi:10.1177/19322968251357873 · Cited by 12 · see citing works
“5,7 This systematic review aimed to assess the available data on (1) the effectiveness of CGM for GDM diagnosis and prediction, and (2) the effect of CGM compared with SMBG on glycemic control and pregnancy outcomes in women with GDM. Specifically, we focused on the impact of CGM on key glycemic…”
Zhao, W., Lu, J., Zhang, L., Lu, W., Zhu, W., Bao, Y., & Zhou, J. (2022) · Chinese Medical Journal · doi:10.1097/cm9.0000000000002140 · Cited by 11 · see citing works
Raets, L., Doninck, L. V., Crombrugge, P. V., Moyson, C., Verhaeghe, J., Vandeginste, S., Verlaenen, H., Vercammen, C., Maes, T., Dufraimont, E., et al. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1186339 · Cited by 8 · see citing works
“0 mmol/L (54 mg/dl) is classified as a level two hypoglycemia (18, 28, 29).”
BackgroundEnglund‐Ögge, L., Dotevall, A., Elfvin, A., Sandgren, U., Lindén, K., Bohlin, L., Wallstersson, B., Sjödell, M., Augustinsson, J., & Hagman, A. (2024) · Acta Obstetricia Et Gynecologica Scandinavica · doi:10.1111/aogs.14856 · Cited by 7 · see citing works
“19 Increased availability of substrate will lead to fetal overgrowth and adiposity in all trimesters.”
BackgroundNon-invasive blood glucose level monitoring using antennas: a comprehensive review report
Upadhyay, N., Kaur, A., Pattanayak, A., & Singh, A. (2025) · Discover Electronics · doi:10.1007/s44291-025-00068-9 · Cited by 4 · see citing works
“On an average, a person suffering from type-1 diabetes needs to check the glucose levels approximately 4–8 times a day (10 times for a diabetic pregnant woman) [15, 16].”
Medina, A. M. G., Soto-Chávez, M. J., Carrillo, D. C. H., Sánchez, J. C. S., González, J. A. G., Grassi, B. A., & Múñoz, Ó. (2023) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2023.110713 · Cited by 3 · see citing works
Wang, R., Zhang, Y., Zeng, H., Xiao, J., Qi, M., Bao, L., Jiao, R., Liu, J., Li, Y.-C., He, S., et al. (2025) · Journal of Diabetes Research · doi:10.1155/jdr/1021066 · Cited by 2 · see citing works
“Using TIR and TBR% as standards for blood glucose management remains controversial in pregnant women with T2DM, especially those with well-controlled blood glucose [30 – 32].”
Maternal nutrition and metabolic adaptations for healthy pregnancy and fetal programming
Kanimozhi, N. V., Suneetha, C., Sonali, L., Raj, M. P. D., Pavithra, R., Shri, B. R., Kumar, S. S., Ramachandran, P. R., & Sukumar, M. (2026) · Food and Humanity · doi:10.1016/j.foohum.2026.101027 · Cited by 2 · see citing works
Present and Future of Research on Continuous Glucose Monitoring: A Narrative Review
Ahn, J., Kang, J. H., Pahn, J., & Yang, Y. (2023) · Korean Journal of Adult Nursing · doi:10.7475/kjan.2023.35.4.311 · Cited by 2 · see citing works
Pandey, A. K., Naik, B., Uday, R., & Shivaprasad, C. (2024) · Cureus · doi:10.7759/cureus.61849 · Cited by 3 · see citing works
Extrapolated Time in Range and Pregnancy Outcomes in Patients with Type 1 Diabetes
Santos, E., Zaccara, T. A., Paganoti, C. D. F., Francisco, R. P. V., & da Costa, R. A. (2025) · Diabetes Technology & Therapeutics · doi:10.1177/15209156251374706 · Cited by 1 · see citing works
“10,12 Therefore, this study aimed to assess the association between TIR extrapolated from SMBG (eTIR) and adverse perinatal outcomes in pregnant patients with T1D.”
Integrating multi-omics and digital phenotyping for precision care in gestational diabetes
Xega, V., & Liu, J.-L. (2026) · Metabolism and Diseases · doi:10.1016/j.metdis.2026.100002 · Cited by 1 · see citing works
Santos, E., Zaccara, T. A., Paganoti, C. D. F., Peres, S. V., Francisco, R. P. V., & da Costa, R. A. (2024) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2024.108724 · Cited by 1 · see citing works
Demystifying Glycemic Variability in GDM Pregnancies: A Cross-Sectional Observational Study
Baghel, A., Nigam, A., & Gupta, N. (2024) · The Journal of Obstetrics and Gynecology of India · doi:10.1007/s13224-024-01992-8 · Cited by 1 · see citing works
Englund‐Ögge, L., Dotevall, A., Elfvin, A., Sandgren, U., Wallstersson, B., Bohlin, L., Sjödell, M., Augustinsson, J., & Hagman, A. (2023) · Research Square · doi:10.21203/rs.3.rs-2602307/v1
Trends in Time in Range–Related Publications and Clinical Trials: A Bibliometric Review
Patel, P. M., Abaniel, R. M., Dogra, N., Lo, C. B., Frazzitta, M. A., & Virdi, N. S. (2023) · doi:10.2337/figshare.22714573.v1
Trends in Time in Range–Related Publications and Clinical Trials: A Bibliometric Review
Patel, P. M., Abaniel, R. M., Dogra, N., Lo, C. B., Frazzitta, M. A., & Virdi, N. S. (2023) · doi:10.2337/figshare.22714573
Grady, M., Cameron, H., & Holt, E. (2024) · Exploration of Endocrine and Metabolic Diseases · doi:10.37349/eemd.2024.00014
Sue-Nagumo, M., Morita, A., Higeta, D., Inoue, M., Osaki, A., Yoshino, S., Matsumoto, S., Horiguchi, K., Okada, S., Iwase, A., et al. (2025) · The Tohoku Journal of Experimental Medicine · doi:10.1620/tjem.2025.j080
Kubo, M., Haraguchi, A., Horie, I., Yano, H., Tsuchiyama, H., Nakaji, E., Nishikido, S., Nakamura, Y., Nakaji, K., Sako, A., et al. (2025) · Medicine Case Reports and Study Protocols · doi:10.1097/md9.0000000000000380
Artificial intelligence/machine learning in the management of diabetes mellitus
Sonia, T. A., & Sharma, C. P. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-30272-5.00010-x · Cited by 1 · see citing works
Filippo, D. D., Henry, A., Bell, C., Haynes, S., Chang, M. H. Y., Darling, J., & Welsh, A. (2024) · Figshare · doi:10.6084/m9.figshare.26575865
Filippo, D. D., Henry, A., Bell, C., Haynes, S., Chang, M. H. Y., Darling, J., & Welsh, A. (2024) · Figshare · doi:10.6084/m9.figshare.26575862
Filippo, D. D., Henry, A., Bell, C., Haynes, S., Chang, M. H. Y., Darling, J., & Welsh, A. (2024) · Figshare · doi:10.6084/m9.figshare.26575856
Filippo, D. D., Henry, A., Bell, C., Haynes, S., Chang, M. H. Y., Darling, J., & Welsh, A. (2024) · Figshare · doi:10.6084/m9.figshare.26575859
Andonotopo, W., Bachnas, M. A., Pramono, M. B. A., Dewantiningrum, J., Gumilar, K. E., Darmawan, E., Akbar, M. I. A., Aldiansyah, D., Lumbanraja, S. N., Rahardjo, T. M., et al. (2026) · SBV Journal of Basic Clinical and Applied Health Science · doi:10.4103/sbvj.sbvj_86_26
- Authors
- Wyckoff, J. A., & Brown, F. M.
- Affiliations
- University of Michigan (US)
- Joslin Diabetes Center (US)
- Corresponding author
- Wyckoff, Jennifer A.
- Venue
- Diabetes Spectrum
- Publisher
- American Diabetes Association
- Published
- 2021-05-01
- Volume
- 34
- Issue
- 2
- Pages
- 119-132
- ISSN
- 1040-9165 (ISSN-L)
- 1944-7353
- PMC
- PMC8178723
- OpenAlex
- W3165330610
- Cited by
- 39
- References
- 83
- Citations by year
- 2026: 4 · 2025: 9 · 2024: 11 · 2023: 9 · 2022: 6
- FWCI
- 5.90
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Diabetes Spectrum (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Obstetrics and Gynecology › Gestational Diabetes Research and Management
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Keywords
- time in range, continuous glucose monitoring, pregnancy, gestational diabetes mellitus, glycemic targets, hybrid closed-loop insulin delivery, neonatal outcomes, self-monitoring of blood glucose, insulin therapy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review