Legro, R. S., Finegood, D., & Dunaif, A. (1998). A fasting glucose to insulin ratio is a useful measure of insulin sensitivity in women with polycystic ovary syndrome. The Journal of clinical endocrinology and metabolism, 83(8), 2694-2698. https://doi.org/10.1210/jcem.83.8.5054
Legro RS, Finegood D, Dunaif A. A fasting glucose to insulin ratio is a useful measure of insulin sensitivity in women with polycystic ovary syndrome. J Clin Endocrinol Metab. 1998;83(8):2694-2698. doi:10.1210/jcem.83.8.5054
Legro, R. S., et al. "A fasting glucose to insulin ratio is a useful measure of insulin sensitivity in women with polycystic ovary syndrome." The Journal of clinical endocrinology and metabolism, vol. 83, no. 8, 1998, pp. 2694-2698.
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Women with polycystic ovary syndrome (PCOS) are profoundly insulin resistant, and the resultant hyperinsulinemia exacerbates the reproductive abnormalities of the syndrome. Agents that ameliorate insulin resistance and reduce circulating insulin levels could provide a new therapeutic modality for PCOS. Identifying the subset of PCOS women who are most insulin resistant may therefore be useful for selecting women who will respond to this therapy. We examined the correlation of basal and oral glucose-stimulated glucose and insulin levels and fasting and stimulated glucose/insulin (G:I) ratios with parameters of insulin sensitivity obtained by frequently sampled i.v. glucose tolerance test (FSIGT) to assess whether there is a simple screening test for insulin resistance in PCOS. Forty PCOS women (aged 18-40 yr; body mass index, >26 kg/m2) and 15 control women matched for age, weight, and ethnicity underwent both a 75-g oral glucose tolerance test (OGTT) and a FSIGT. The insulin sensitivity index (S(I)) was calculated by application of the minimal model of glucose kinetics to the dynamics of plasma glucose and insulin levels during the FSIGT. The best correlation in PCOS between S(I) and a fasting level was found with fasting G:I ratios (r = 0.73; P < 0.0001). A less substantial, but significant, correlation was found with fasting insulin levels (r = 0.50; P < 0.001), and no significant correlation was found with fasting glucose levels (r = 0.24; P = NS). The fasting G:I was more strongly correlated with S(I) than with integrated glucose and insulin responses during the OGTT. The only stronger correlation was with the OGTT 2 h G:I ratio (r = 0.74; P < 0.001). Stepwise regression analysis with S(I) as the dependent variable and fasting glucose and insulin levels, area under the curve for glucose and insulin, and a fasting G:I ratio showed that only the fasting G:I ratio was significantly predictive of S(I) in the model (F to remove value = 38.1; P < 0.001). When viewed as a screening test for insulin resistance in PCOS, setting a value of the fasting G:I ratio of less than 4.5 as abnormal (using an S(I) value below the 10th percentile of our control population as evidence for insulin resistance), the sensitivity of a fasting G:I ratio was 95%, the specificity was 84%, the positive predictive value was 87%, and the negative predictive value was 94%. Receiver operator curve analysis showed that this fasting G:I ratio was the single best screening measure for detecting insulin resistance. We conclude that a fasting G:I ratio may be useful as a screening test for insulin resistance in obese non-Hispanic white PCOS women. This may be a clinically useful parameter for selecting PCOS women most likely to respond to therapeutic interventions that improve insulin sensitivity.
Gao X et al., 2025·Nat Med·Free full text on PubMed Central
Polycystic ovary syndrome (PCOS) is a common and heterogeneous endocrine disorder that affects 11%-13% of women worldwide, with profound implications for fertility and long-term metabolic health. Here we identify four reproducible subtypes-PCOS with hyperandrogen, with obesity, with high-sex hormone-binding globulin and with high-luteinizing hormone-anti-Müllerian hormone-through unsupervised clustering of 9 clinical variables in 11,908 affected women, validated across 5 international cohorts. Prospective 6.5-year follow-up and in vitro fertilization treatment data revealed distinct reproductive and metabolic trajectories: hyperandrogenic PCOS showed the highest risk of second trimester pregnancy loss and dyslipidemia incidence; PCOS with obesity exhibited the most severe metabolic complications, lowest live birth rates and highest PCOS remission rate; PCOS with high-sex hormone-binding globulin demonstrated favorable reproductive outcomes and the lowest incidence of diabetes and hypertension; and PCOS with high-luteinizing hormone-anti-Müllerian hormone had the greatest risk of ovarian hyperstimulation and the lowest PCOS remission rate. These findings advance understanding of PCOS heterogeneity and provide a framework for subtype-based risk stratification and personalized management.
Wessel JA et al., 2022·Fertility & Reproduction·Free to read
Intrauterine insemination with ovarian stimulation (IUI-OS) is a first-line treatment for couples with unexplained infertility. Individual participant data meta-analysis (IPD-MA) is the gold standard for evidence synthesis. To compare the effectiveness and safety of ovarian stimulation with gonadotrophin, Letrozole and clomiphene citrate (CC) and to explore treatment-covariate interactions for important baseline characteristics in women undergoing IUI. We searched electronic databases including PubMed, MEDLINE, EMBASE, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials (CENTRAL). We included randomised controlled trials (RCTs) comparing IUI-OS with gonadotropins, Letrozole or CC among couples with unexplained infertility. We excluded dose comparing studies of the same drug. We contacted the authors of eligible RCTs to share the IPD and established the IUI IPD-MA collaboration. The primary effectiveness outcome was live birth and the primary safety outcome was multiple pregnancy. We used a one-stage approach using a random effects model. Six RCTs (n= 2299) provided IPD. Gonadotropins increased the chance of a live birth compared to both CC (5 RCTs, 1946 women, RR 1.28, 95%CI 1.10 to 1.49, I2 = 25%, moderate-quality evidence) whereas there was insufficient evidence of a difference between Letrozole and CC (1 RCT, 599 women, RR 0.77 95%CI 0.58 to 1.03). Gonadotropins increased the risk of a multiple pregnancy compared to both CC (4 RCTs, 1696 women, RR 2.17, 95%CI 1.33 to 3.55, I2 = 69%, low-quality evidence) whereas there was insufficient evidence of a difference between Letrozole and CC (1 RCT, 599 women, RR 0.71, 95%CI 0.33 to 1.56). No strong evidence on the treatment-covariate interactions (female age, BMI or primary versus secondary infertility) was found. Gonadotropins increased the chance of a live birth compared to both CC and Letrozole but also increased the chance of a multiple pregnancy. Further RCTs comparing Letrozole and other interventions in couples with unexplained infertility are needed.
Duffy JMN et al., 2020·Human Reproduction·Free full text on PubMed Central
Can a core outcome set to standardize outcome selection, collection and reporting across future infertility research be developed? A minimum data set, known as a core outcome set, has been developed for randomized controlled trials (RCTs) and systematic reviews evaluating potential treatments for infertility. Complex issues, including a failure to consider the perspectives of people with fertility problems when selecting outcomes, variations in outcome definitions and the selective reporting of outcomes on the basis of statistical analysis, make the results of infertility research difficult to interpret. STUDY DESIGN, SIZE, A three-round Delphi survey (372 participants from 41 countries) and consensus development workshop (30 participants from 27 countries). MAIN The core outcome set consists of: viable intrauterine pregnancy confirmed by ultrasound (accounting for singleton, twin and higher multiple pregnancy); pregnancy loss (accounting for ectopic pregnancy, miscarriage, stillbirth and termination of pregnancy); live birth; gestational age at delivery; birthweight; neonatal mortality; and major congenital anomaly. Time to pregnancy leading to live birth should be reported when applicable. Embedding the core outcome set within RCTs and systematic reviews should ensure the comprehensive selection, collection and reporting of core outcomes. Research funding bodies, the SPIRIT statement, and over 80 specialty journals, including Cochrane Gynaecology and Fertility Group, Fertility and Sterility and Human Reproduction, have committed to implementing this core outcome set.
Costello MF et al., 2019·Aust N Z J Obstet Gynaecol
Polycystic ovary syndrome (PCOS) is complex with reproductive, metabolic and psychological features. Infertility is a prevalent presenting feature of PCOS with approximately 75% of these women suffering infertility due to anovulation, making PCOS by far the most common cause of anovulatory infertility. Previous guidelines either lacked rigorous evidence-based processes, did not engage consumer and international multidisciplinary perspectives, or were outdated. This review paper aims to provide a brief update on the best available and most current research evidence supporting the treatment of PCOS which informed the recommendations in the assessment and treatment of infertility section of the international evidence-based guideline on PCOS 2018. International evidence-based guideline development engaged professional societies and consumer organisations with multidisciplinary experts and women with PCOS directly involved at all stages. Lifestyle change alone is considered the first-line treatment for the management of infertile anovulatory PCOS women who are overweight or obese. Letrozole should now be considered first-line pharmacological treatment for ovulation induction to improve fertility outcomes. Clomiphene citrate alone and metformin alone could also be used as first-line pharmacological therapy, although both are less effective than letrozole and metformin is less effective than clomiphene citrate in obese women. Gonadotrophins or laparoscopic ovarian surgery are usually second-line ovulation induction therapies. In the absence of an absolute indication for in vitro fertilisation (IVF) / intracytoplasmic sperm injection, women with PCOS and anovulatory infertility could be offered IVF as third-line therapy where firstor second-line ovulation induction therapies have failed. This review provides the best available evidence informing recommendations (along with clinical expertise and consumer preference) which provide clinicians with clear advice on best practice for the management of infertile women with PCOS.
Related research
Measurement and Statistics · Instrument Development and Validation
Contreras PH et al., 2019·J Endocr Soc·Free full text on PubMed Central
To evaluate the diagnostic performance of several biochemical predictors of insulin resistance (IR).
A total of 90 nondiabetic subjects were tested with both the pancreatic suppression test (PST) and the oral glucose tolerance test (OGTT). Of them, 53 were non-insulin-resistant (NIR) subjects and the remaining 37 were insulin resistant subjects. All glucose and insulin values from the OGTT were positively correlated with the steady-state plasma glucose (SSPG) value of the PST. Among the OGTT values, basal insulin (I0) displayed a stronger correlation with SSPG (r = 0.604). Receiver operating characteristic analysis of the OGTT data demonstrated that I0 exhibited the highest area under the receiver operating characteristic curve (AUROC), compared with the rest of the OGTT data. However, the reduced sensitivity of this predictor precluded its clinical use.We then tested six potential predictors of IR derived from the OGTT values. Of them, the I0*G60 had a correlation coefficient of 0.697 with the SSPG and an AUROC of 0.867, surpassing the respective values of the traditional biochemical predictors of IR. Its cutoff predicting IR was >1110 mg/dL*μΙU/mL (>428 nM*pM), its sensitivity was 0.865, and its global accuracy was 0.822. We then selected the six best biochemical predictors of IR according to their posttest probability ratio. The order was as follows: I0*G60, ISI composite, AUC-Gl*In/', quantitative insulin sensitivity check index, homeostatic model assessment 1 (HOMA1), and HOMA2. We conclude that the I0*G60 is a promising, inexpensive, and easily calculable predictor of IR that outperforms the predictive power of the traditional predictors of IR, including the insulin sensitivity index composite.
Thyroid and Metabolic Function · Insulin and Metabolism
Polycystic ovary syndrome (PCOS) is non-uniformly associated with insulin resistance (IR). We examined IR in women with PCOS. Sixty-nine PCOS women were subjected to the insulin suppression test (IST) to determine their steady-state plasma glucose (SSPG) as a direct measure of insulin sensitivity. SSPG exhibited a multimodal distribution suggesting the existence of subpopulations. The heterogeneous distribution of plasma glucose at 180 min (P = 0.011), with three modes, suggested differences in the plasma glucose level trajectories during the IST. Hence, the population was separated into three groups: (i) (n = 33), subjects with SSPG < or = 152.5 mg/dl, corresponding to the first to fifth deciles; (ii) (n = 29), subjects in the interval 152.5 mg/dl < SSPG < or = 300 mg/dl; (iii) (n = 7), subjects with SSPG > 300 mg/dl, corresponding to the tenth decile. Plasma glucose distributions at 180 min showed differences in their mean values and ranges among groups (P < 0.0001). The trajectories of the groups differed significantly during the IST (P < 0.0001). insulin sensitivity in our patients exhibited a discontinuous distribution, implying that PCOS is a heterogeneous disorder possessing subpopulations regarding IR.
To investigate the effects of reduction of insulin resistance and hyperinsulinemia associated with the polycystic ovary syndrome (PCOS) on FSH-stimulated ovarian aromatase activity. Prospective study. Academic health center, Siena, Italy. PATIENT(S): Twenty women 18 to 26 years of age in whom PCOS was diagnosed on the basis of oligomenorrhea or amenorrhea and hyperandrogenemia. INTERVENTION(S): Recombinant FSH was administered. The next day, therapy with metformin (500 mg t.i.d.) was begun. After 35 to 40 days of treatment, the pretreatment protocol was repeated. MAIN OUTCOME MEASURE(S): Plasma levels of estradiol (E(2)), androstenedione (A), and testosterone (T). The ratios of basal levels and areas under the curve (AUCs) of products and substrates were compared before and after metformin administration to detect differences in aromatase activity. RESULT(S): Metformin treatment was associated with significant reduction in basal free testosterone plasma levels, insulin plasma levels, and insulin response to oral glucose tolerance testing. Administration of FSH was followed by a significantly lesser E(2) response after metformin therapy than before this therapy. The ratios of AUC(E2) to AUC(A) and to AUC(T), indicative of aromatase activity in response to FSH, were significantly lower after metformin therapy than before. CONCLUSION(S): Metformin therapy in women with PCOS is associated with a reduction in aromatase activity in response to FSH. Insulin affects production of both androgen and estrogen. Insulin therefore plays a central role in regulating the activity of thecal and granulosa cells.
It is now clear that PCOS is often associated with profound insulin resistance as well as with defects in insulin secretion. These abnormalities, together with obesity, explain the substantially increased prevalence of glucose intolerance in PCOS. Moreover, since PCOS is an extremely common disorder, PCOS-related insulin resistance is an important cause of NIDDM in women (Table 3). The insulin resistance in at least 50% of PCOS women appears to be related to excessive serine phosphorylation of the insulin receptor. A factor extrinsic to the insulin receptor, presumably a serine/threonine kinase, causes this abnormality and is an example of an important new mechanism for human insulin resistance related to factors controlling insulin receptor signaling. Serine phosphorylation appears to modulate the activity of the key regulatory enzyme of androgen biosynthesis, P450c17. It is thus possible that a single defect produces both the insulin resistance and the hyperandrogenism in some PCOS women (Fig. 19). Recent studies strongly suggest that insulin is acting through its own receptor (rather than the IGF-I receptor) in PCOS to augment not only ovarian and adrenal steroidogenesis but also pituitary LH release. Indeed, the defect in insulin action appears to be selective, affecting glucose metabolism but not cell growth. Since PCOS usually has a menarchal age of onset, this makes it a particularly appropriate disorder in which to examine the ontogeny of defects in carbohydrate metabolism and for ascertaining large three-generation kindreds for positional cloning studies to identify NIDDM genes. Although the presence of lipid abnormalities, dysfibrinolysis, and insulin resistance would be predicted to place PCOS women at high risk for cardiovascular disease, appropriate prospective studies are necessary to directly assess this.
Research Methods › Measurement and Statistics › Instrument Development and Validation
Richard S Legro, Andrea Dunaif
Rick Legro, Dick Legro, Rich Legro, R Legro, A Dunaif
PMID 9709933 9709933 DOI 10.1210/jcem.83.8.5054 10.1210/jcem.83.8.5054 Legro et al. 1998, Legro 1998
Cite this article
Legro, R. S., Finegood, D., & Dunaif, A. (1998). A fasting glucose to insulin ratio is a useful measure of insulin sensitivity in women with polycystic ovary syndrome. The Journal of clinical endocrinology and metabolism, 83(8), 2694-2698. https://doi.org/10.1210/jcem.83.8.5054
Legro RS, Finegood D, Dunaif A. A fasting glucose to insulin ratio is a useful measure of insulin sensitivity in women with polycystic ovary syndrome. J Clin Endocrinol Metab. 1998;83(8):2694-2698. doi:10.1210/jcem.83.8.5054
Legro, R. S., et al. "A fasting glucose to insulin ratio is a useful measure of insulin sensitivity in women with polycystic ovary syndrome." The Journal of clinical endocrinology and metabolism, vol. 83, no. 8, 1998, pp. 2694-2698.
