Menstrual Cycle, Glucose Control and Insulin Sensitivity in Type 1 Diabetes: A Systematic Review
Open accessAbstract
The correlation between the menstrual cycle and glucose control in type 1 diabetes has been the focus of several studies since the 1920s, but a few critical aspects made it particularly challenging to reach conclusive evidence. The aim of this systematic review is to reveal more solid information about the impact of the menstrual cycle on glycaemic outcomes and insulin sensitivity in type 1 diabetes and highlight the less researched areas. The literature was searched by two authors independently using PubMed/MEDLINE, Embase and Scopus (last search on 2 November 2022). The retrieved data did not allow us to perform a meta-analysis. We included 14 studies published between 1990 and 2022, with sample sizes from 4 to 124 patients. We found a wide heterogeneity in the definition of the menstrual cycle phases, glucose metrics, techniques for determining insulin sensitivity, hormonal assessment and other interfering factors considered, with an overall high risk of bias. There is no conclusive evidence, and published data do not allow us to achieve quantitative results. In a subset of patients, a possible worsening of insulin sensitivity and hyperglycaemia in the luteal phase could be observed. From the clinical standpoint, a cautious strategy based on patient-specific patterns can be considered until new, solid evidence is obtained.
AI snapshot
Written from the paper’s full text.
TL;DR
This systematic review found no conclusive evidence on the impact of the menstrual cycle on glycaemic outcomes and insulin sensitivity in type 1 diabetes, and the retrieved data did not allow a meta-analysis. In a subset of patients, insulin sensitivity may worsen and hyperglycaemia may increase in the luteal phase compared with the follicular phase.
Key findings
- The review included 14 studies published between 1990 and 2022, with sample sizes from 4 to 124 patients and 1 to 6.5 menstrual cycles observed per patient (total 6 to 168 menstrual cycles).
- Nine studies showed worsening or higher risk of hyperglycaemia in the luteal phase versus the follicular phase, while two studies showed unchanged glucose metrics across menstrual cycle phases.
- Four studies showed worsening insulin sensitivity in the luteal phase compared with the follicular phase, while two studies showed absence of statistically significant differences in insulin sensitivity across phases.
- Overall risk of bias was high, with wide heterogeneity in menstrual cycle phase definitions, glucose metrics, insulin sensitivity techniques, hormonal assessment, and other interfering factors.
Methods
- Systematic review conducted according to PRISMA; PubMed/MEDLINE, Embase, and Scopus were searched with no beginning date limit and updated until 2 November 2022; two authors independently searched, screened, reviewed full texts, and selected articles, with discordances resolved by consensus.
- Eligible studies were original articles describing variations in glucose control and/or insulin sensitivity during the menstrual cycle in women with type 1 diabetes; case reports were excluded; 14 studies were included after exclusions.
- Risk of bias was independently assessed with the National Heart, Lung and Blood Institute Quality Assessment Tool for Observational Studies; findings were summarized qualitatively because a meta-analysis could not be performed.
Limitations
- The paper states that the retrieved data did not allow a meta-analysis, that there was wide heterogeneity in menstrual cycle phase definition, glucose metrics, insulin sensitivity determination, hormonal assessment, and interfering factors, and that overall risk of bias was high, especially concerning sample size, power analysis, timeframe, exposure definition and assessment, and potential confounding variables.
- The paper states that sample sizes were generally small, methods to define menstrual cycle phases and duration were heterogeneous, glycaemic metrics were heterogeneous with only a few studies using CGM metrics as recommended by international guidelines and often over limited observation periods, insulin sensitivity evaluation methods were questionable, and insulin sensitivity referred to daytime, night-time, or both in different studies.
- The paper also states that the prevalence of the “menstrual cycle phenomenon” among women with type 1 diabetes is unclear, data from individual studies are not generalizable to a large population, the phenotype of luteal glycaemic worsening is unclear, and the effects of oestrogen, progesterone, and other hormones on insulin sensitivity and glycaemic parameters remain unresolved.
Model-written summary. Check it against the paper before relying on it.
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Cites
Statistics
Claims the paper makes
11 of 59 cited sources checked · 5 supported · 1 flagged · accuracy not yet measured
- Findingown data
Fourteen studies were included in the systematic review.
“We included 14 studies published between 1990 and 2022, with sample sizes from 4 to 124 patients.”
- Also stated in: § 3.1. Eligible Articles · plain
“Finally, 14 studies [7,10,11,12,13,14,15,16,20,21,22,23] were included in the systematic review (Figure 1).”
Quote in the paperNot a substantial claim3 of 10 sources checked- cites [7] Moberg, 1995, Day-to-day variation of insulin sensitivity in patients with type 1 diabetes: Role of gender and menstrual cycle, Diabet. Med. source
- cites [10] Tatulashvili, 2022, Ambulatory glucose profile according to different phases of the menstrual cycle in women living with type 1 diabetes, J. Clin. Endocrinol. Metab. source
The Participants’ Characteristics section (page not provided) describes an original study of 24 women and 62 menstrual cycles, not a systematic review of 14 studies. The cited paper therefore does not support the attributed study count or the stated range of study sample sizes. (LLM, conf=0.88)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured - cites [11] Lundman, 1994, Metabolic control, food intake and mood during the menstrual cycle in patients with insulin-dependent diabetes, Int. J. Nurs. Stud. source
- cites [12] Brown, 2015, Fluctuation of hyperglycemia and insulin sensitivity are linked to menstrual cycle phases in women with type 1 diabetes, J. Diabetes Sci. Technol. source
The Study Design and Subjects section describes a prospective trial that recruited 15 women, and the Results report that 12 completed it. The cited paper does not report a systematic review or its number of included studies (searched for 14 studies and systematic-review inclusion). The citing sentence’s “we included” appears to describe the citing authors’ own review, which this source cannot verify. (LLM, conf=0.77)
Experimental — accuracy not yet measured - cites [13] Goldner, 2004, Cyclic changes in glycemia assessed by continuous glucose monitoring system during multiple complete menstrual cycles in women with type 1 diabetes, Diabetes Technol. Ther. source
- cites [14] Lunt, 1996, Self-reported changes in capillary glucose and insulin requirements during the menstrual cycle, Diabet. Med. source
- cites [15] Widom, 1992, Alteration in glucose metabolism during menstrual cycle in women with IDDM, Diabetes Care source
- cites [16] Macdonald, 1990, Effect of phase of menstrual cycle on insulin sensitivity, peripheral blood flow and cardiovascular responses to hyperinsulinaemia in young women with type 1 diabetes, Diabet. Med. source
- cites [20] Diaz, 2022, Insulin replacement across the menstrual cycle in women with type 1 diabetes: An in-silico assessment of the need for ad-hoc technology, Diabetes Technol. Ther. source
- cites [21] Levy, 2022, Insulin delivery and glucose variability throughout the menstrual cycle on closed loop control for women with type 1 diabetes, Diabetes Technol. Ther. source
The Results describe a substudy of 16 women, not a systematic review. Neither the Results nor the other passages found in our copy state how many studies the citing authors included; the number 14 refers to cycles in a participant range, not studies. (LLM, conf=0.78)
Experimental — accuracy not yet measured
- Also stated in: § 3.1. Eligible Articles · plain
- Premisecitation
There is a lack of uniformity for estimating insulin sensitivity in type 1 diabetes.
“a lack of uniformity for estimating insulin sensitivity (IS) [3,4,5,6,7]”
Quote in the paperSubstantial claim1 of 5 sources checked- cites [3] Matsuda, 1999, Insulin sensitivity indices obtained from oral glucose tolerance testing: Comparison with the euglycemic insulin clamp, Diabetes Care source
- cites [4] Bergman, 1979, Quantitative estimation of insulin sensitivity, Am. J. Physiol. source
- cites [5] Gutch, 2015, Assessment of insulin sensitivity/resistance, Indian J. Endocrinol. Metab. source
The Introduction (page unavailable) describes multiple indices for estimating insulin sensitivity and says their clinical use is limited by a lack of reference values. That supports a general concern about uniform estimation, but the paper does not establish that this lack of uniformity applies specifically to type 1 diabetes. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [6] Januszewski, 2020, Estimated insulin sensitivity in type 1 diabetes adult using clinical and research biomarkers, Diabetes Res. Clin. Pract. source
- cites [7] Moberg, 1995, Day-to-day variation of insulin sensitivity in patients with type 1 diabetes: Role of gender and menstrual cycle, Diabet. Med. source
- Premisecitation
The pathophysiological mechanism underlying insulin sensitivity changes observed during different phases of the menstrual cycle remains unclear.
“However, the literature in this field is discordant, and the pathophysiological mechanism underlying IS changes observed during different phases of the MC remains still unclear [12,13,14].”
Quote in the paperSubstantial claim1 of 3 sources checked- cites [12] Brown, 2015, Fluctuation of hyperglycemia and insulin sensitivity are linked to menstrual cycle phases in women with type 1 diabetes, J. Diabetes Sci. Technol. source
- cites [13] Goldner, 2004, Cyclic changes in glycemia assessed by continuous glucose monitoring system during multiple complete menstrual cycles in women with type 1 diabetes, Diabetes Technol. Ther. source
- cites [14] Lunt, 1996, Self-reported changes in capillary glucose and insulin requirements during the menstrual cycle, Diabet. Med. source
- Premisecitation
The literature on the relationship between the menstrual cycle and insulin sensitivity/glycaemic control in type 1 diabetes is discordant.
“However, the literature in this field is discordant, and the pathophysiological mechanism underlying IS changes observed during different phases of the MC remains still unclear [12,13,14].”
- Also stated in: § 1. Introduction · hedged
“In fact, some authors found that IS might hold a role, but these data were not confirmed (or not evaluated) by other studies [7,15,16].”
Quote in the paperSubstantial claim1 of 6 sources checked- cites [12] Brown, 2015, Fluctuation of hyperglycemia and insulin sensitivity are linked to menstrual cycle phases in women with type 1 diabetes, J. Diabetes Sci. Technol. source
- cites [13] Goldner, 2004, Cyclic changes in glycemia assessed by continuous glucose monitoring system during multiple complete menstrual cycles in women with type 1 diabetes, Diabetes Technol. Ther. source
- cites [14] Lunt, 1996, Self-reported changes in capillary glucose and insulin requirements during the menstrual cycle, Diabet. Med. source
- cites [7] Moberg, 1995, Day-to-day variation of insulin sensitivity in patients with type 1 diabetes: Role of gender and menstrual cycle, Diabet. Med. source
- cites [15] Widom, 1992, Alteration in glucose metabolism during menstrual cycle in women with IDDM, Diabetes Care source
- cites [16] Macdonald, 1990, Effect of phase of menstrual cycle on insulin sensitivity, peripheral blood flow and cardiovascular responses to hyperinsulinaemia in young women with type 1 diabetes, Diabet. Med. source
- Also stated in: § 1. Introduction · hedged
- Findingcitation
Two studies found unchanged glucose metrics across phases of the menstrual cycle in women with type 1 diabetes, checked by CGM or SMBG.
“two studies [11,21] show unchanged glucose metrics across phases of the MC, checked by CGM or SMBG.”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [11] Lundman, 1994, Metabolic control, food intake and mood during the menstrual cycle in patients with insulin-dependent diabetes, Int. J. Nurs. Stud. source
- cites [21] Levy, 2022, Insulin delivery and glucose variability throughout the menstrual cycle on closed loop control for women with type 1 diabetes, Diabetes Technol. Ther. source
- Findingnone given
Only four included studies used the definition of hypo- and hyperglycaemia according to the most recent international recommendations.
“Only four studies used the definition of hypo- and hyperglycaemia according to the most recent international recommendations.”
Quote in the paperNot a substantial claim - Findingreasoning
There is no conclusive evidence on the impact of the menstrual cycle on glycaemic outcomes and insulin sensitivity in type 1 diabetes.
“There is no conclusive evidence, and published data do not allow us to achieve quantitative results.”
Quote in the paperSubstantial claim - Findingcitation
Nine studies found worsening or higher risk of hyperglycaemia in the luteal phase versus the follicular phase in women with type 1 diabetes.
“nine studies show worsening or higher risk of hyperglycaemia in the luteal phase versus the follicular phase, expressed in terms of TAR [9—SS, 10—SS, 14—NS, 19—NS, 22—SS, 23—NS], mean SMBG glycaemia/CGM glucose [9—SS, 19—SS], glycaemic response to FSIGT [23—NS], HBGI [12—SS], 2h postprandial glycaemic peak [22—SS] and glycaemic response to the hyperinsulinemic hyperglycaemic clamp [15—NS]”
Quote in the paperSubstantial claim0 of 3 sources checked- cites 9—SS
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites 10—SS
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites 14—NS
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingown data
The included studies showed wide heterogeneity in the definition of menstrual cycle phases, glucose metrics, techniques for determining insulin sensitivity, hormonal assessment and other interfering factors considered.
“We found a wide heterogeneity in the definition of the menstrual cycle phases, glucose metrics, techniques for determining insulin sensitivity, hormonal assessment and other interfering factors considered, with an overall high risk of bias.”
- Also stated in: § 3.2. Qualitative Analysis · plain
“The definition of the different phases of the MC among studies was heterogeneous, i.e., a simple division into the follicular and luteal phase or the identification of subphases (early follicular, mid-late follicular, periovulation, early luteal, mid-luteal and late luteal).”
- Also stated in: § 3.2. Qualitative Analysis · plain
“Studies were conducted using a wide range of glycaemic metrics for the assessment of metabolic outcomes and heterogeneous methods for determining IS.”
Quote in the paperSubstantial claim - Also stated in: § 3.2. Qualitative Analysis · plain
- Findingreasoning
The included studies had an overall high risk of bias.
“We found a wide heterogeneity in the definition of the menstrual cycle phases, glucose metrics, techniques for determining insulin sensitivity, hormonal assessment and other interfering factors considered, with an overall high risk of bias.”
Quote in the paperSubstantial claim - Findingnone given
Based on the published literature, there is no conclusive evidence on the relationship between the menstrual cycle and glycaemic control or insulin sensitivity in type 1 diabetes.
“Based on the published literature, there is no conclusive evidence on this topic.”
Quote in the paperSubstantial claim - Findingcitation
Four studies found worsening of insulin sensitivity in the luteal phase compared to the follicular phase in women with type 1 diabetes.
“four studies show worsening of IS in the luteal phase compared to the follicular phase, estimated by the euglycaemic clamp [20—SS], Kalman filtering method [12—SS], FSIGT [23—NS] and hyperglycaemic hyperinsulinemic clamp [15—NS]”
Quote in the paperSubstantial claim0 of 3 sources checked- cites 20—SS
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites 12—SS
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites 23—NS
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingown data
In a subset of patients with type 1 diabetes, a possible worsening of insulin sensitivity and hyperglycaemia in the luteal phase compared to the follicular phase could be observed.
“In a subset of patients, a possible worsening of insulin sensitivity and hyperglycaemia in the luteal phase could be observed.”
Quote in the paperSubstantial claim - Findingreasoning
The effect of oestrogen and progesterone on insulin sensitivity and glycaemic parameters remains unresolved.
“The effect of oestrogen and progesterone on IS and glycaemic parameters remains unresolved”
Quote in the paperSubstantial claim - Findingnone given
Published data do not allow quantitative results on the topic of menstrual cycle, glucose control and insulin sensitivity in type 1 diabetes.
“published data do not allow us to achieve quantitative results”
Quote in the paperSubstantial claim - Findingreasoning
The two questions raised by this systematic review remain only partially resolved.
“Both questions raised by the present study remain partially unsolved”
Quote in the paperSubstantial claim - Study design and conductown data
The retrieved data did not allow the authors to perform a meta-analysis to achieve quantitative results.
“Unfortunately, the retrieved data did not allow us to perform a meta-analysis to achieve quantitative results.”
Quote in the paperSubstantial claim - Premisecitation
Evaluating the correlation between the menstrual cycle and glycaemic control in type 1 diabetes has been challenging due to the need for intensive glucose monitoring, which has become accurate only in recent decades.
“the need for intensive glucose monitoring, which has become accurate only in recent decades thanks to the implementation of flash and continuous glucose monitoring systems [2]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [2] Didyuk, 2021, Continuous glucose monitoring devices: Past, present, and future focus on the history and evolution of technological innovation, J. Diabetes Sci. Technol. source
- Study design and conductreasoning
The insulin sensitivity evaluation methods used in the included studies were questionable.
“Fourth, the IS evaluation methods were questionable.”
Quote in the paperSubstantial claim - Interpretationnone given
Data from individual studies on the menstrual cycle phenomenon in type 1 diabetes are not generalizable to a large population of T1DM patients.
“and data from individual studies are not generalizable to a large population of T1DM patients.”
Quote in the paperSubstantial claim - Study design and conductnone given
The methods to define both menstrual cycle phases and their duration were heterogeneous across included studies.
“Second, the methods to define both MC phases and their duration were heterogeneous.”
Quote in the paperSubstantial claim - Interpretationreasoning
Using euglycaemic or hyperglycaemic clamp methods to evaluate insulin sensitivity has the potential to influence the result.
“The evaluation was carried out with euglycaemic or hyperglycaemic clamp methods, with the potential to influence the result.”
Quote in the paperSubstantial claim - Study design and conductnone given
Sample sizes in the included studies were generally small.
“First, sample sizes were generally small.”
Quote in the paperSubstantial claim - Premisecitation
The increase in progesterone in the luteal phase would determine an increased risk of hyperglycaemia.
“On the other hand, the increase in progesterone in the luteal phase would determine the increased risk of hyperglycaemia [13,23].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [13] Goldner, 2004, Cyclic changes in glycemia assessed by continuous glucose monitoring system during multiple complete menstrual cycles in women with type 1 diabetes, Diabetes Technol. Ther. source
- cites [23] Trout, 2007, Mentrual cycle effects on insulin sensitivity in women with type 1 diabetes: A pilot study, Diabetes Technol. Ther. source
- Premisecitation
In T1DM adolescents, higher HbA1c is associated with greater menstrual cycle irregularities.
“Third, the potential role of glucose control itself in the MC has been described in T1DM adolescents, in whom higher HbA1c is associated with greater cycle irregularities [38].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [38] Schroeder, 2000, Correlation between glycemic control and menstruation in diabetic adolescents, J. Reprod. Med.
- Classified as probably not a substantial claim. 16
- May combine two claims. 12
- Not yet classified. 1
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA number of variables and determinants (e.g., carbohydrate intake, physical activity, premenstrual syndrome symptoms, sleep quality and quantity) have to be considered when monitoring patients over a medium-to-long period.
“the number of variables and determinants to be considered when monitoring patients over a medium-to-long period (i.e., carbohydrate intake, the frequency, duration and intensity of physical activity, premenstrual syndrome (PMS) symptoms and the quality and quantity of sleep) [8,9,10,11]”
Quote in the paperNot a substantial claim1 of 4 sources checked- cites [8] Cawood, 1993, Perimenstrual symptoms in women with diabetes mellitus and the relationship to diabetic control, Diabet. Med. source
- cites [9] Gamarra, 2016, Menstrual cyclicity, sleep efficiency and unplanned physical activity: Glycemic response in women suffering from type 1 diabetes mellitus, J. AMD
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [10] Tatulashvili, 2022, Ambulatory glucose profile according to different phases of the menstrual cycle in women living with type 1 diabetes, J. Clin. Endocrinol. Metab. source
The Outcomes section (page unavailable) says the study collected information on dietary changes, physical activity, and premenstrual syndrome symptoms during menstrual cycles. The Strengths and Limitations section (page unavailable) calls for more detailed study of food intake and physical activity. Our copy does not specify carbohydrate intake, the frequency, duration or intensity of activity, or sleep quality and quantity, nor does it make a general recommendation about medium-to-long-term monitoring. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [11] Lundman, 1994, Metabolic control, food intake and mood during the menstrual cycle in patients with insulin-dependent diabetes, Int. J. Nurs. Stud. source
May combine two claims.
PremisecitationPrevious research has used various techniques to assess insulin sensitivity during the menstrual cycle, but most studies were performed in nondiabetic women and obtained different results with hyperglycaemic versus euglycaemic techniques.
“Previous research has indeed used various techniques to assess IS during the MC such as the glucose tolerance test and the euglycaemic or hyperglycaemic clamp [25,26,27,28,29,30,31,32], but most of the studies have been performed in nondiabetic women and have obtained different results with the hyperglycemic versus the euglycemic technique.”
Quote in the paperSubstantial claim1 of 3 sources checked- cites [25] Roy, 1971, Changes in oral glucose tolerance during normal menstrual cycle, J. Indian Med. Assoc.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [26] Jarrett, 1968, Changes in oral glucose tolerance during the menstrual cycle, Br. Med. J. source
- cites [27] Bonora, 1987, Influence of the menstrual cycle on glucose tolerance and insulin secretion, Am. J. Obstet. Gynecol. source
Classified as probably not a substantial claim.
FindingcitationSome studies show that the glycaemic worsening in the luteal phase affects postprandial glucose.
“Since, according to some studies, this worsening affects postprandial glucose [13,19,22]”
Quote in the paperSubstantial claim1 of 3 sources checked- cites [13] Goldner, 2004, Cyclic changes in glycemia assessed by continuous glucose monitoring system during multiple complete menstrual cycles in women with type 1 diabetes, Diabetes Technol. Ther. source
- cites [19] Herranz, 2016, Glycemic changes during menstrual cycles in women with type 1 diabetes, Med. Clin. source
- cites [22] Barata, 2013, The effect of the menstrual cycle on glucose control in women with type 1 diabetes evaluated using a continuous glucose monitoring system, Diabetes Care source
Probably not a substantial claim: may not pass S3 (load-bearing).
FindingcitationOther studies show that the glycaemic worsening in the luteal phase occurs mainly in fasting glucose due to accentuation of the dawn phenomenon caused by progesterone.
“However, according to other studies, the worsening occurs mainly in fasting glucose due to the accentuation of the dawn phenomenon caused by progesterone [22,34]”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [22] Barata, 2013, The effect of the menstrual cycle on glucose control in women with type 1 diabetes evaluated using a continuous glucose monitoring system, Diabetes Care source
The paper’s main text (page unavailable) reports higher luteal-phase glucose at fasting, but also after breakfast and lunch and before dinner; it does not establish that worsening occurs mainly while fasting. It reports higher progesterone in the luteal phase and suggests a possible hormonal effect, but does not identify a progesterone-caused accentuation of the dawn phenomenon. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [34] Jovanovic, 2004, Advances in diabetes for the millennium: Diabetes in women, MedGenMed
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataThe included studies were published between 1990 and 2022, with sample sizes from 4 to 124 patients.
“We included 14 studies published between 1990 and 2022, with sample sizes from 4 to 124 patients.”
- Also stated in: § 3.2. Qualitative Analysis · plain
“The 14 articles were published between 1990 and 2022 in scientific journals in the fields of diabetology-endocrinology and nursing care.”
- Also stated in: § 3.2. Qualitative Analysis · plain
“Overall, the sample size ranged from 4 to 124 patients.”
Quote in the paperNot a substantial claim- Also stated in: § 3.2. Qualitative Analysis · plain
Probably not a substantial claim: may not pass S3 (load-bearing).
FindingreasoningThe phenotype of the glycaemic worsening found in the luteal phase is unclear.
“Second, the phenotype of the glycaemic worsening found in the luteal phase is unclear.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThree included studies measured levels of hormones potentially influencing differences in insulin sensitivity across menstrual cycle phases, including cortisol, norepinephrine, GH, testosterone, DHT and androstenedione.
“As an additional factor of heterogeneity, three studies also measured the levels of some hormones potentially influencing the difference in IS found across the phases of the menstrual cycle, such as cortisol, norepinephrine, GH, testosterone, DHT and androstenedione.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenInsulin sensitivity refers to daytime, night-time or both in different studies.
“Furthermore, IS refers to daytime, night-time or both in different studies.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataFive included articles considered other factors and collected data through wearable trackers, questionnaires or validated scales (Penn Daily Symptoms Rating Scale and Pittsburg Sleep Quality Index) on body temperature, weight, occasional medications, physical exercise, sleep quantity and quality, emotional state, psychosocial condition and premenstrual symptoms.
“Finally, in five articles, other factors are considered and other data are collected through wearable trackers, questionnaires or validated scales (Penn Daily Symptoms Rating Scale and Pittsburg Sleep Quality Index): body temperature, weight, occasional medications, physical exercise, sleep quantity and quality, emotional state, psychosocial condition and premenstrual symptoms.”
Quote in the paperNot a substantial claimNot yet classified.
FindingTwo studies found no statistically significant differences in insulin sensitivity across phases of the menstrual cycle in women with type 1 diabetes, estimated by IGIT or euglycaemic clamp.
“two studies [7,8,9,10,11,12,13,14,15,16] show the absence of SS differences in IS in the various phases of the MC, estimated by IGIT or the euglycaemic clamp.”
Quote in the paperNot yet classified0 of 3 sources checked- cites [7] Moberg, 1995, Day-to-day variation of insulin sensitivity in patients with type 1 diabetes: Role of gender and menstrual cycle, Diabet. Med. source
- cites [8] Cawood, 1993, Perimenstrual symptoms in women with diabetes mellitus and the relationship to diabetic control, Diabet. Med. source
- cites [9] Gamarra, 2016, Menstrual cyclicity, sleep efficiency and unplanned physical activity: Glycemic response in women suffering from type 1 diabetes mellitus, J. AMD
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
FindingreasoningThe prevalence of the 'menstrual cycle phenomenon' among women with type 1 diabetes is unclear.
“First, the prevalence of the “menstrual cycle phenomenon” among women with T1DM is unclear”
Quote in the paperNot a substantial claimMay combine two claims.
FindingreasoningThe retrieved data did not allow the authors to perform a meta-analysis or achieve quantitative results.
“The retrieved data did not allow us to perform a meta-analysis.”
- Also stated in: § Abstract · plain
“There is no conclusive evidence, and published data do not allow us to achieve quantitative results.”
Quote in the paperSubstantial claim- Also stated in: § Abstract · plain
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataThe number of menstrual cycles observed ranged from 1 to 6.5 per patient (total 6 to 168).
“The number of MCs observed ranged from 1 to 6.5/patient (total number from 6 to 168 MCs).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
FindingcitationIt is unclear whether fluctuations of other hormones (such as GH, steroids and androgens) over the menstrual cycle are related to variability in glucose control.
“Finally, it is still unclear whether fluctuations of other hormones (such as GH, steroids and androgens) over the MC are related to the variability in glucose control [13,16].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [13] Goldner, 2004, Cyclic changes in glycemia assessed by continuous glucose monitoring system during multiple complete menstrual cycles in women with type 1 diabetes, Diabetes Technol. Ther. source
- cites [16] Macdonald, 1990, Effect of phase of menstrual cycle on insulin sensitivity, peripheral blood flow and cardiovascular responses to hyperinsulinaemia in young women with type 1 diabetes, Diabet. Med. source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe systematic review was performed in accordance with the PRISMA statement.
“The systematic review was performed in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement [17].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [17] Moher, 2009, Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement, BMI
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenThe literature was searched by two authors independently using PubMed/MEDLINE, Embase and Scopus, with the last search on 2 November 2022.
“The literature was searched by two authors independently using PubMed/MEDLINE, Embase and Scopus (last search on 2 November 2022).”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductnone givenTwo investigators independently searched for papers, screened titles and abstracts, reviewed full texts and selected articles for inclusion, with discordances solved by mutual consensus.
“Two investigators (EG and PT) independently searched for papers, screened the titles and abstracts of the retrieved articles, reviewed the full texts and selected articles for inclusion. Discordances were solved in a mutual consensus.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationRisk of bias in included studies was independently assessed by two authors according to the National Heart, Lung and Blood Institute Quality Assessment Tool for Observational Studies.
“The risk of bias in included studies was independently assessed by the two authors according to the National Heart, Lung and Blood Institute Quality Assessment Tool for Observational Studies [18].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [18] (2022, November 16). Study Quality Assessment Tools | NHLBI, NIH, Available online: https://www.nhlbi.nih.gov/health-topics/study-quality-assessment-tools.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationA subset of women with type 1 diabetes (but not all) experience a 'menstrual cycle phenomenon' that can hinder optimal glycaemic control and negatively impact quality of life.
“Just as some (but not all) T1DM individuals experience a “dawn phenomenon” that requires insulin adjustment, a subset of T1DM women (but not all of them) experience a “menstrual cycle phenomenon” [23], which can represent an obstacle to the achievement of optimal glycaemic control and negatively impact patients’ quality of life.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [23] Trout, 2007, Mentrual cycle effects on insulin sensitivity in women with type 1 diabetes: A pilot study, Diabetes Technol. Ther. source
May combine two claims.
Study design and conductcitationGlycaemic metrics were heterogeneous across included studies, with only a few studies using CGM metrics as recommended by international guidelines and often over a limited period of observation.
“Third, glycaemic metrics were also heterogeneous, with only a few studies using CGM metrics as recommended by international guidelines [24] and often over a limited period of observation.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [24] Battelino, 2023, Continuous glucose monitoring and metrics for clinical trials: An international consensus statement, Lancet Diabetes Endocrinol. source
May combine two claims.
Study design and conductown dataOverall risk of bias in the included studies was high, especially concerning sample size, power analysis, timeframe, exposure definition and assessment, and potential confounding variables.
“Overall, the risk of bias was high, especially concerning the sample size, analysis of the power of the sample, timeframe, exposure definition and assessment and potential confounding variables.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationThe euglycaemic range of nondiabetic subjects does not reflect the relatively hyperglycaemic state that characterizes T1DM patients and can impact glucose tolerance.
“Therefore, applying their results to T1DM women requires much caution, as the euglycaemic range of nondiabetic subjects does not reflect the real relatively hyperglycaemic state that characterizes T1DM patients and can impact glucose tolerance [33].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [33] Ader, 1985, Importance of glucose per se to intravenous glucose tolerance. Comparison of the minimal-model prediction with direct measurements, Diabetes source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningThe availability of new technologies has increased the possibility to optimize glycaemic control through tailoring of insulin treatment, resulting in a potential attenuation of menstrual-associated variability.
“On the other hand, the availability of new technologies has increased the possibility to optimize glycaemic control through the tailoring of insulin treatment, resulting in a potential attenuation of menstrual-associated variability.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationEstradiol may contribute to the increased risk of hyperglycaemia, and its lowering increases the risk of hypoglycaemia.
“On the one hand, estradiol may contribute to the increased risk of hyperglycaemia, and its lowering increases the risk of hypoglycaemia [15].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [15] Widom, 1992, Alteration in glucose metabolism during menstrual cycle in women with IDDM, Diabetes Care source
The paper relies on this without support.
In clinical practice, women with type 1 diabetes require therapy adjustment during different phases of the menstrual cycle because of incomplete glycaemic control.
“To summarize, we face in clinical practice T1DM women requiring therapy adjustment during different phases of the MC because of incomplete glycaemic control, but we have no solid information about this phenomenon.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Nine hyperglycaemia studies are claimed, but only eight are cited
MinorThe citations across the listed hyperglycaemia measures identify eight distinct studies: 9, 10, 12, 14, 15, 19, 22 and 23. The text says nine studies showed this result.
“nine studies show worsening or higher risk of hyperglycaemia in the luteal phase versus the follicular phase, expressed in terms of TAR [9—SS, 10—SS, 14—NS, 19—NS, 22—SS, 23—NS]”
“mean SMBG glycaemia/CGM glucose [9—SS, 19—SS], glycaemic response to FSIGT [23—NS], HBGI [12—SS], 2h postprandial glycaemic peak [22—SS] and glycaemic response to the hyperinsulinemic hyperglycaemic clamp [15—NS]”
Two insulin-sensitivity studies are described with ten citations
MinorThe statement says two studies found no statistically significant insulin-sensitivity differences, but its citation list contains ten distinct references. It also includes reference 8, which is not among the studies identified as included in the review.
“two studies [7,8,9,10,11,12,13,14,15,16] show the absence of SS differences in IS in the various phases of the MC”
“Another two studies were also included, one selected from the references of retrieved articles [19] and one known by the authors of this review [9]. Finally, 14 studies [7,10,11,12,13,14,15,16,20,21,22,23] were included in the systematic review (Figure 1).”
Cites
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“Therefore, applying their results to T1DM women requires much caution, as the euglycaemic range of nondiabetic subjects does not reflect the real relatively hyperglycaemic state that characterizes T1DM patients and can impact glucose tolerance [33].”
BackgroundBertoli, A., Fusco, A., Greco, A. V., & Lauro, R. (1980) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem-50-2-246 · Cited by 110 · see citing works
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Alterations in Glucose Metabolism During Menstrual Cycle in Women With IDDM
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“Study [Reference] [10] [20] [21] [19] [9] [12] [22] [23] [13] [14] [7] [11] [15] [16]”
BackgroundResultInfluentialBrown, S. A., Jiang, B., McElwee-Malloy, M., Wakeman, C., & Breton, M. D. (2015) · Journal of Diabetes Science and Technology · doi:10.1177/1932296815608400 · Cited by 81 · see citing works
Insulin Sensitivity during the Menstrual Cycle*
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Changes in oral glucose tolerance during the menstrual cycle.
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Menstrual Cycle Effects on Insulin Sensitivity in Women with Type 1 Diabetes: A Pilot Study
Trout, K. K., Rickels, M. R., Schutta, M. H., Petrova, M., Freeman, E. W., Tkacs, N. C., & Teff, K. L. (2007) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2006.0004 · Cited by 75 · see citing works
Insulin Action Does Not Change During the Menstrual Cycle in Normal Women*
TOTH, E. L., SUTHIJUMROON, A., CROCKFORD, P. M., & RYAN, E. A. (1987) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem-64-1-74 · Cited by 71 · see citing works
Insulin Binding in Human Pregnancy: Comparisons to the Postpartum, Luteal, and Follicular States*
MOORE, P., Kolterman, O., WEYANT, J., et al. (1981) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem-52-5-937 · Cited by 68 · see citing works
INSULIN RECEPTORS DURING THE MENSTRUAL CYCLE IN NORMAL WOMEN
FIRRO, R. D., Fusco, A., Bertoli, A., GRECOo, A. V., & Lauro, R. D. (1978) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem-47-6-1387 · Cited by 68 · see citing works
Barata, D. S., Adan, L. F., Netto, E. M., & Ramalho, A. C. (2013) · Diabetes Care · doi:10.2337/dc12-2248 · Cited by 65 · cited 4× · see citing works
“[22] 72 h F (day 4–8) and 72 h L (day 18–22) US and E2 and P test CGM Yes NA Yes No No No TAR increases and the TBR decreases in L vs.”
BackgroundInfluentialGoldner, W. S., Kraus, V. L., Sivitz, W. I., Hunter, S. K., & Dillon, J. S. (2004) · Diabetes Technology & Therapeutics · doi:10.1089/1520915041705875 · Cited by 55 · cited 6× · see citing works
“Since, according to some studies, this worsening affects postprandial glucose [13,19,22], it would be preferable to change meal boluses and the IS factor for corrections rather than basal insulin.”
BackgroundInfluential(2000) · PubMed · Cited by 47 · see citing works
Menstrual cycle carbohydrate metabolism
Spellacy, W. N., Carlson, K. L., & Schade, S. L. (1967) · American Journal of Obstetrics and Gynecology · doi:10.1016/s0002-9378(16)34546-x · Cited by 47 · see citing works
Moberg, E., Kollind, M., Lins, P., & Adamson, U. (1995) · Diabetic Medicine · doi:10.1111/j.1464-5491.1995.tb00462.x · Cited by 40 · cited 3× · see citing works
“In fact, some authors found that IS might hold a role, but these data were not confirmed (or not evaluated) by other studies [7,15,16].”
BackgroundResultPerimenstrual Symptoms in Women with Diabetes Mellitus and the Relationship to Diabetic Control
Cawood, E. H. H., Bancroft, J., & Steel, J. M. (1993) · Diabetic Medicine · doi:10.1111/j.1464-5491.1993.tb00096.x · Cited by 36 · see citing works
Tatulashvili, S., Baptiste Julla, J., Sritharan, N., Rezgani, I., Levy, V., Bihan, H., Riveline, J.-P., & Cosson, E. (2022) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgac443 · Cited by 33 · cited 2× · see citing works
“[10] EF, MF, PO, ML, LL Dates of menses CGM Yes Patient reported data No Yes Yes No TIR decreases over the phases with SS difference between EF and LL.”
BackgroundInfluence of the menstrual cycle on glucose tolerance and insulin secretion
Bonora, E., Zavaroni, I., Alpi, O., Pezzarossa, A., Dall'Aglio, E., Coscelli, C., & Butturini, U. (1987) · American Journal of Obstetrics and Gynecology · doi:10.1016/s0002-9378(87)80365-4 · Cited by 32 · see citing works
The Influence of Menstruation on Carbohydrate Tolerance in Diabetes Mellitus.
Cramer, H. I. (1942) · PubMed · Cited by 30 · see citing works
Macdonald, I. A., Scott, A. R., Bowman, C. A., & Jeffcoate, W. J. (1990) · Diabetic Medicine · doi:10.1111/j.1464-5491.1990.tb01309.x · Cited by 26 · cited 4× · see citing works
“[16] F (days 6–9) and L (days 20–23) Dates of menses Clamp NA Direct parameter Yes No No No Not SS differences in IS in L vs.”
BackgroundResultInfluentialCARBOHYDRATE METABOLISM IN THE MENSTRUAL CYCLE
Cudworth, A. G., & Veevers, A. (1975) · BJOG An International Journal of Obstetrics & Gynaecology · doi:10.1111/j.1471-0528.1975.tb02216.x · Cited by 25 · see citing works
Estimated insulin sensitivity in Type 1 diabetes adults using clinical and research biomarkers
Januszewski, A. S., Sachithanandan, N., Ward, G., Karschimkus, C. S., O'Neal, D. N., & Jenkins, A. J. (2020) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2020.108359 · Cited by 24 · see citing works
Levy, C. J., O'Malley, G., Raghinaru, D., Kudva, Y. C., Laffel, L. M., Pinsker, J. E., Lum, J. W., Brown, S. A., for the iDCL Trial Research Group, Kovatchev, B., et al. (2022) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2021.0431 · Cited by 21 · cited 3× · see citing works
“[21] Menstruation, L, all the rest Dates of menses CGM Yes Indirect parameter No No No No CGM and insulin metrics unchanged across cycle phases”
BackgroundAdvances in diabetes for the millennium: diabetes in women.
(2004) · PubMed Central · Cited by 19 · see citing works
Diaz C., J. L., Fabris, C., Breton, M. D., & Cengiz, E. (2022) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2022.0154 · Cited by 19 · cited 3× · see citing works
“What impacts of the MC on IS can be expected in women with T1DM? Possible worsening of IS in the luteal phase versus the follicular phase in a subset of patients [12,15,20,23]”
BackgroundCambios glucémicos durante el ciclo menstrual en mujeres con diabetes mellitus tipo 1
Herranz, L., Saez-de-Ibarra, L., Hillman, N., Gaspar, R., & Pallardo, L. F. (2016) · Medicina Clínica · doi:10.1016/j.medcli.2015.11.044 · Cited by 14 · cited 4× · see citing works
“[19] EF, LF, EL, LL Dates of menses SMBG NA Indirect parameter No No No No 65.”
BackgroundInfluentialChanges in oral glucose tolerance during normal menstrual cycle.
Sk, R., Bp, G., & Sk, B. (1971) · PubMed · Cited by 14 · see citing works
Glycemic changes during menstrual cycles in women with type 1 diabetes
Herranz, L., Saez-de-Ibarra, L., Hillman, N., Gaspar, R., & Pallardo, L. F. (2016) · Medicina Clínica (English Edition) · doi:10.1016/j.medcle.2016.05.034 · Cited by 13 · see citing works
Lundman, B., Asplund, K., & Norberg, A. (1994) · International Journal of Nursing Studies · doi:10.1016/0020-7489(94)90079-5 · Cited by 9 · cited 3× · see citing works
“[11] F and L Dates of menses Patient reported data NA Patient reported data Yes Yes Yes No Not SS differences in glucose and food intake in L vs.”
BackgroundCorrelation Between Glycemic Control and Menstruation in Diabetic Adolescents
Schroeder, E., Hertweck, S. P., Sanfilippo, J. S., et al. (1998) · Journal of Pediatric and Adolescent Gynecology · doi:10.1016/s1083-3188(98)70284-0
Flagged first, then by citations
Research works printed but not linked: 1
- Gamarra, 2016, Menstrual cyclicity, sleep efficiency and unplanned physical activity: Glycemic response in women suffering from type 1 diabetes mellitus, J. AMD, 19, 105
Cited by
Sorted by citations
Elhenawy, Y. I., Abdel Kader, M. S., & Thabet, R. A. (2024) · Diabetes, Obesity and Metabolism · doi:10.1111/dom.15891 · Cited by 17 · see citing works
“2 However, other studies mainly observed fasting hyperglycaemia because of the effect of progesterone on accentuating the dawn phenomenon, 15,22 making adjustment of basal insulin the optimal approach.”
Berthon, W., McGurnaghan, S. J., Blackbourn, L. A. K., Mellor, J., Gibb, F. W., Heller, S. R., Kennon, B., McCrimmon, R. J., Philip, S., Sattar, N. A., et al. (2024) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2024.111642 · Cited by 9 · see citing works
“In addition, the menstrual cycle appears to interact with insulin sensitivity in some women, which could have an impact on the risk of hypoglycaemia [45].”
Sammut, M. J., McBey, D. P., Sayal, A. P., & Melling, C. W. J. (2024) · Journal of Diabetes Research · doi:10.1155/2024/5549762 · Cited by 5 · see citing works
One Size Does Not Fit All: The Need for Sex-Specific Precision Medicine in Diabetes Technology
Hossmann, S., Tan, S., Mader, J. K., Klonoff, D. C., Adams, D., Ballhausen, H., Bally, L., Balmer, M. L., Braunack-Mayer, V., Bonhoure, A., et al. (2025) · Journal of Diabetes Science and Technology · doi:10.1177/19322968251340673 · Cited by 5 · see citing works
Fabris, C., Flanagan, D., Bennett, C., Batista, A. F. M. B., Oliveri, M. C., & Gonder-Frederick, L. A. (2025) · Diabetes Spectrum · doi:10.2337/ds25-0003 · Cited by 4 · see citing works
Toward demographic robustness in digital patient twins: Addressing the gender data gap
Mahr, D., Hebich, M., & Weinberger, N. (2025) · Digital Health · doi:10.1177/20552076251386660 · Cited by 4 · see citing works
“14 These results imply that DPTs for diabetes that do not include menstrual cycle information may misinterpret hor-mone-driven blood sugar fl uctuations as poor adherence or lifestyle-related failure.”
Talbot, S. R., Heider, M., Wirth, M., Jörns, A., & Naujok, O. (2026) · Scientific Reports · doi:10.1038/s41598-026-42408-z · Cited by 5 · see citing works
“…differences arise between women and men in the development of late complications, which can have a significant impact on life expectancy 9,10–11, We recently investigated the dose-dependent effect of STZ on male NSG mice, focusing on finding a dose that reliably induces diabetes while…”
Cholekho, S., Fan, Z., & Tan, H. (2024) · Frontiers in Endocrinology · doi:10.3389/fendo.2024.1305332 · Cited by 4 · see citing works
Metabolic tuning during the menstrual cycle
Kroemer, N. B. (2023) · Nature Metabolism · doi:10.1038/s42255-023-00867-y · Cited by 4 · see citing works
Thijs, I., Siegelaar, S. E., Elhenawy, Y. I., Benhalima, K., Pinhas‐Hamiel, O., van den Heuvel, T. R. A., Castañeda, J., & Cohen, O. (2026) · Diabetes Obesity and Metabolism · doi:10.1111/dom.70377 · Cited by 3 · see citing works
“49 The effects in the LP oppose the FP, where hypoglycaemia due to larger insulin sensitivity is more common.”
López, T. R., Acosta, D. L., Alcalá, B. B., Domínguez, Ó. M., de Sevilla, E. G. P., Hillman, N., & de Villar, N. G. P. (2026) · Diabetes Obesity and Metabolism · doi:10.1111/dom.70673 · Cited by 2 · see citing works
MCCARTHY, A. M., Kent, G., Thomas, J. J. C., Martine‐Edith, G., Zaremba, N., Avila, E., Amiel, S. A., Pouwer, F., Mader, J. K., Divilly, P., et al. (2026) · Diabetologia · doi:10.1007/s00125-026-06775-6 · Cited by 2 · see citing works
Peters, T. M., Brazeau, A., Bally, L., Govette, A., Heyman, E., Jung, M. E., Laesser, C. I., Lespagnol, É., Logan, J. E., Momeni, Z., et al. (2025) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2025.02.001 · Cited by 3 · see citing works
Milioto, A., Gulisano, C., Spacco, G., Siri, G., Caccia, B., Calevo, M. G., Minuto, N., Maggi, D. C., Bassi, M., & Cocchiara, F. (2025) · Diabetology · doi:10.3390/diabetology6060053 · Cited by 1 · see citing works
“The relationship between glycemic control and the menstrual cycle in young women with type 1 diabetes (T1D) has been studied extensively over the years [1,2].”
Vivre avec un diabète de type 1 : l’impact souvent sous-estimé des hormones féminines
Tatulashvili, S., & Cosson, E. (2025) · Médecine des Maladies Métaboliques · doi:10.1016/j.mmm.2025.07.003 · Cited by 1 · see citing works
Alavi, R., Chen, C., García, H. H., & Udeozo, O. (2025) · Cureus · doi:10.7759/cureus.99191
“Once hormonal cyclicity is identified, individualized strategies may include basal insulin titration during the luteal phase, close glucose surveillance through continuous glucose monitoring, and menstrual tracking to preempt glycemic excursions [6-8].”
InfluentialGender Disparities in the Care of Type 1 Diabetes Mellitus: Myth or Reality?
Boro, H. (2026) · Indian Journal of Endocrinology and Metabolism · doi:10.4103/ijem.ijem_89_25
“[11] Lack of awareness, stigma surrounding menstruation and poor access to menstrual hygiene products further compound the challenges, particularly among underprivileged girls.”
Cooper, A., Mahaiyuddin, A., Sim, D., Davies, F., Gillen, E., Brown, N., Edwards, A., & Boivin, J. (2026) · Research Square · doi:10.21203/rs.3.rs-9486208/v1
Abaidoo, B., Essuman, A., Essuman, V. A., Tagoe, N. N., Akpalu, J., Barnes, N. A., Owusu‐Asare, L. P., Essuman, Y. A., Beyuo, V. M., Ofori-Adjei, I.-O. D.-B., et al. (2026) · Health Science Reports · doi:10.1002/hsr2.72435
“Additionally, hormonal changes associated with the menstrual cycle in adolescents can adversely impact the management of glucose levels [51–53].”
Why glycemic control remains suboptimal in type 1 diabetes in the era of advanced technologies?
Joubert, M. (2026) · Diabetes & Metabolism · doi:10.1016/j.diabet.2026.101763
Barth, C.-M., Fedosov, A., Wacharamanotham, C., Bernard, J., & Huang, E. M. (2026) · Designing Interactive Systems Conference · doi:10.1145/3800645.3813059
Facteurs de déséquilibre du diabète de type 1
Joubert, M. (2026) · EMC - Traité de médecine AKOS · doi:10.1016/s1634-6939(26)44170-8
CHANDRAN, S. R., Ang, W. M., Lim, G. H., Sng, G. G. R., & Gardner, D. S.-L. (2026) · Diabetes Obesity and Metabolism · doi:10.1111/dom.71234
“Approximately two-thirds of women with T1D report changes in glucose levels during the menstrual cycle [2, 3], and a recent systematic review supports a worsening of glycaemia during the luteal phase in at least a proportion of women [4].”
Factores que provocan descompensación en la diabetes tipo 1
Joubert, M. (2026) · EMC - Tratado de Medicina · doi:10.1016/s1636-5410(26)52262-1
Struckmeyer, N., Landsberg, S., Biester, T., Dolle, R. M., Frerking, A.-K., Kapitzke, K., Knottnerus-Meyer, N., Niemeyer, M., Toenne, R., Berge, T. V. D., et al. (2026) · Journal of Pediatric Endocrinology and Metabolism · doi:10.1515/jpem-2026-0309
“Progesterone levels increase markedly during the luteal phase and have been associated with reduced insulin sensitivity and impaired glucose uptake in peripheral tissues [1].”
InfluentialGlucose excursions throughout the reproductive life stages in women with diabetes
Knorr, S., Storebjerg, T. M., Kirkegaard, K., Hviid, K. V. R., Nielsen, H. S., & Kampmann, U. (2026) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgag379
Modeling ovarian hormone effects on glucose–insulin control in type 1 diabetes
Albaladejo-Carrasco, N., Furió-Novejarque, C., Nattero-Chávez, L., Bondia, J., & Díez, J. (2026) · Bioengineering & Translational Medicine · doi:10.1002/btm2.70168
“4,5 However, although both sexes have been included in many glucose regulation studies, sex is most often treated as a static demographic variable rather than as a dynamic physiological factor.”
Castro, M., Grassi, B., Daín, A., Gómez, A. M., Saleme, A., Calliari, L. E., Siqueira, R. D. A., Raggio, M., Riera, F., Sámano, M. Á. G., et al. (2026) · Diabetes Technology & Therapeutics · doi:10.1177/15209156261486558
- Authors
- Gamarra, E., & Trimboli, P.
- Affiliations
- Ente Ospedaliero Cantonale (CH)
- Corresponding author
- Gamarra, Elena
- Venue
- Journal of Personalized Medicine
- Publisher
- MDPI AG
- Published
- 2023-02-20
- Volume
- 13
- Issue
- 2
- Pages
- 374
- ISSN
- 2075-4426 (ISSN-L)
- PMC
- PMC9962060
- OpenAlex
- W4321457600
- Semantic Scholar
- 1524e6719c25e8d73c6ae4691a388c8f7ff780e8
- Cited by
- 29
- References
- 39
- Citations by year
- 2026: 16 · 2025: 7 · 2024: 5 · 2023: 1
- FWCI
- 1.67
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Journal of Personalized Medicine (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion, cc-by)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Keywords
- menstrual cycle, type 1 diabetes, insulin sensitivity, glycemic control, luteal phase, hyperglycemia, menstrual cycle phases, hormonal evaluation, glycaemic outcomes
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Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-17.
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