The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index; 3 of the 17 sources its claims cite were checked for support.
Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans
Abstract
Insulin resistance plays an important role in the pathophysiology of diabetes and is associated with obesity and other cardiovascular risk factors. The "gold standard" glucose clamp and minimal model analysis are two established methods for determining insulin sensitivity in vivo, but neither is easily implemented in large studies. Thus, it is of interest to develop a simple, accurate method for assessing insulin sensitivity that is useful for clinical investigations. We performed both hyperinsulinemic isoglycemic glucose clamp and insulin-modified frequently sampled iv glucose tolerance tests on 28 nonobese, 13 obese, and 15 type 2 diabetic subjects. We obtained correlations between indexes of insulin sensitivity from glucose clamp studies (SI(Clamp)) and minimal model analysis (SI(MM)) that were comparable to previous reports (r = 0.57). We performed a sensitivity analysis on our data and discovered that physiological steady state values [i.e. fasting insulin (I(0)) and glucose (G(0))] contain critical information about insulin sensitivity. We defined a quantitative insulin sensitivity check index (QUICKI = 1/[log(I(0)) + log(G(0))]) that has substantially better correlation with SI(Clamp) (r = 0.78) than the correlation we observed between SI(MM) and SI(Clamp). Moreover, we observed a comparable overall correlation between QUICKI and SI(Clamp) in a totally independent group of 21 obese and 14 nonobese subjects from another institution. We conclude that QUICKI is an index of insulin sensitivity obtained from a fasting blood sample that may be useful for clinical research.
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3 of 17 cited sources checked · 2 supported · 0 flagged · accuracy not yet measured
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“A well accepted alternative for estimating insulin sensitivity involves minimal model analysis of a frequently sampled iv glucose tolerance test (FSIVGTT) (9 -11).”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > I NSULIN IS
What the sources say
- Supportedcites [9] Bergman, 1987, Equivalence of the insulin sensitivity index in man derived by the minimal model method and the euglycemic glucose clamp., J Clin Invest source
The Introduction describes minimal-model analysis of a frequently sampled intravenous glucose tolerance test as an alternative to the glucose clamp. The Discussion reports that it yielded an equivalent measure of insulin sensitivity in the study, while noting that wider validation would be needed before recommending general use. (LLM, conf=0.90)
- Not checked — no full text of the sourcecites [10] 1989, Lilly lecture 1989. Toward physiological understanding of glucose tolerance. Minimal-model approach., Diabetes source
- Not checked — no full text of the sourcecites [11] Saad, 1997, Differences between the tolbutamide-boosted and the insulin-modified minimal model protocols., Diabetes source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Supported
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Moreover, we observed a comparable overall correlation between QUICKI and SI Clamp in a totally independent group of 21 obese and 14 nonobese subjects from another institution.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Thus, as expected, the obese and diabetic subjects were significantly more insulin resistant than the nonobese subjects (P Ͻ 2 ϫ 10 Ϫ5 ).”
- Also stated in: § Glucose clamp and minimal model estimates of insulin sensitivity · plain
“As expected, when subjects were evaluated with the gold standard glucose clamp method, obese subjects were more insulin resistant, on the average, than nonobese subjects, and diabetics were the most insulin-resistant group.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Glucose clamp studies
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Also stated in: § Glucose clamp and minimal model estimates of insulin sensitivity · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We performed a sensitivity analysis on our data and discovered that physiological steady state values [i.e.fasting insulin (I 0 ) and glucose (G 0 )] contain critical information about insulin sensitivity.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In addition, the linear regression analysis of the subgroups corresponded more closely to the overall regression line when comparing QUICKI and SI Clamp .”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > QUICKI
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesThe paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“In addition, QUICKI derived from the average results of two fasting blood samples (over 10 min) was similar to QUICKI calculated from a single sample.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > QUICKI
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Interestingly, we found that the product of fasting insulin and glucose yielded an index of insulin sensitivity that was applicable to both dia-betic and nondiabetic subjects.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > QUICKI
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The basal glucose levels in the diabetic group were significantly elevated compared with those in the other groups (166 Ϯ 15 mg/dL; P Ͻ 4 ϫ 10 Ϫ5 ).”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Insulin-modified FSIVGTT studies
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Note that in contrast to the minimal model-derived SI MM , we were able to calculate meaningful values of QUICKI for all diabetic subjects studied.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Correlations between indexes of insulin sensitivity
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“QUICKI was calculated for all study subjects (mean, 0.382 Ϯ 0.007, 0.331 Ϯ 0.010, and 0.304 Ϯ 0.007 for nonobese, obese, and diabetic subjects, respectively).”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > QUICKI
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes
- Probably not a substantial claim. 6
- It may state two separate claims as one. 15
- The quote only partly states this claim. 2
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“Alternatively, periodic oscillations in insulin secretion (both ultradian and 10-to 15-min periods) have been reported in healthy subjects and may also contribute to the weaker correlation in this subgroup (21,22).”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > QUICKI
What the sources say
- Not checked — no full text of the sourcecites [21] Polonsky, 1998, Temporal profiles and clinical significance of pulsatile insulin secretion., Horm Res source
- Supportedcites [22] Polonsky, 1988, Twenty-four-hour profiles and pulsatile patterns of insulin secretion in normal and obese subjects., J Clin Invest source
The Discussion ('O Normal') describes rapid insulin pulsations in the 10–14-minute range and slower ultradian oscillations of 1–3 hours. It presents the slower oscillations in normal subjects as a finding of this study and reports the rapid pulsations from earlier studies, supporting the claim that both have been reported in healthy subjects. (LLM, conf=0.93)
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Alternatively, periodic oscillations in insulin secretion (both ultradian and 10-to 15-min periods) have been reported in healthy subjects and may also contribute to the weaker correlation in this subgroup (21,22).”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > QUICKI
What the sources say
- Not checked — no full text of the sourcecites [21] Polonsky, 1998, Temporal profiles and clinical significance of pulsatile insulin secretion., Horm Res source
- Partly supportedcites [22] Polonsky, 1988, Twenty-four-hour profiles and pulsatile patterns of insulin secretion in normal and obese subjects., J Clin Invest sourceExperimental — accuracy not yet measured
The discussion (section “O Normal”; page not provided) reports ultradian insulin-secretion oscillations in normal subjects and describes rapid 10–14-minute pulsations. It does not examine QUICKI, clamp-derived insulin sensitivity, or whether oscillations weaken the correlation between them in a nonobese subgroup. (LLM, conf=0.86)
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We obtained correlations between indexes of insulin sensitivity from glucose clamp studies (SI Clamp ) and minimal model analysis (SI MM ) that were com-parable to previous reports (r ϭ 0.57).”
- Also stated in: § Correlations between indexes of insulin sensitivity · plain
“The overall correlation coefficient (r) calculated from a linear least squares regression was 0.57 (P Ͻ 2 ϫ 10 Ϫ5 ).”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Abstract
Tests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Also stated in: § Correlations between indexes of insulin sensitivity · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, linear regression analysis for the subgroups revealed that the regression line for the diabetic and obese subgroups had a very different slope than that for the nonobese group.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Correlations between indexes of insulin sensitivity
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesThe quote only partly states this claim.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“When correlations between QUICKI and SI Clamp were calculated for each group separately, we found that r ϭ 0.49 for nonobese subjects (P Ͻ 0.01), r ϭ 0.89 for obese subjects (P Ͻ 2 ϫ 10 Ϫ5 ), and r ϭ 0.7 for diabetic subjects (P Ͻ 4 ϫ 10 Ϫ3 ).”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Correlations between indexes of insulin sensitivity
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Reassuringly, in these independent studies, we found that the overall correlation between QUICKI and SI Clamp was similar to that in our original analysis (r ϭ 0.77; P Ͻ 2 ϫ 10 Ϫ11 ).”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Correlations between indexes of insulin sensitivity
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesThe quote only partly states this claim.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Both obese and diabetic subjects had significantly greater BMIs and fasting insulin levels than the nonobese subjects (P Ͻ 6 ϫ 10 Ϫ6 ), consistent with the presence of obesity and insulin resistance.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Study subjects
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This analysis yielded r ϭ 0.74 for obese subjects (n ϭ 21) and r ϭ 0.91 for nonobese subjects (n ϭ 14), with an overall correlation coefficient of r ϭ 0.90 (n ϭ 35).”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Correlations between indexes of insulin sensitivity
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, the correlation coefficient for the nonobese subgroup was 0.49, and the greatest variability in the correlation between QUICKI and SI Clamp was observed among the most insulin-sensitive subjects.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > QUICKI
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“As expected, the fasting glucose levels for both nonobese and obese groups were normal, whereas the diabetic group had elevated levels.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Study subjects
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Similar to our results from glucose clamp studies (and in contrast to minimal model results), insulin sensitivity as assessed by QUICKI was highest in the nonobese group, intermediate in the obese group, and lowest in the diabetic group.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > QUICKI
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Insulin resistance plays an important role in the pathophysiology of diabetes and is associated with obesity and other cardiovascular risk factors.”
- Also stated in: § I NSULIN IS · plain
“plays an important pathophysiological role in diabetes (1,2).”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Abstract
What the sources say
- Not matchedcites [1] 1988, Lilly lecture 1987. The triumvirate: β-cell, muscle, liver. A collusion responsible for NIDDM., Diabetes
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Not checked — no full text of the sourcecites [2] DeFronzo, 1992, Pathogenesis of NIDDM. A balanced overview., Diabetes Care source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
- Also stated in: § I NSULIN IS · plain
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Steady state conditions were generally achieved about 2 h after the initiation of each study and were maintained for at least 60 min.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Glucose clamp studies
Load-bearingStrength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The overall correlation we obtained between SI Clamp and SI MM was comparable to previous reports whose study subjects included diabetics, suggesting that our studies were technically adequate.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Glucose clamp and minimal model estimates of insulin sensitivity
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Furthermore, QUICKI provides a reproducible and robust estimate of insulin sensitivity, because equally strong correlations with SI Clamp were obtained when fasting data from either the glucose clamp or FSIVGTT studies were used to calculate QUICKI.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > QUICKI
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, this effect is unlikely to be occurring in our studies, because fasting samples were obtained at the same time in the morning for each subject, and calculating QUICKI from the average of several blood samples (instead of a single sample) did not significantly affect our correlations.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > QUICKI
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, in analyzing an independent dataset, we observed very similar correlations between QUICKI and SI Clamp , strongly suggesting that QUICKI is a robust index of insulin sensitivity.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Relative merits of QUICKI
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“The inability of the minimal model to identify meaningful values for SI MM in a large fraction of our diabetic subjects is consistent with the experience of others and is most likely related to well described difficulties in estimating SI MM under conditions of inadequate insulin secretion (12).”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Glucose clamp and minimal model estimates of insulin sensitivity
What the sources say
- Not checked — no full text of the sourcecites [12] Saad, 1994, A comparison between the minimal model and the glucose clamp in the assessment of insulin sensitivity across the spectrum of glucose tolerance. Insulin Resistance Atherosclerosis Study., Diabetes source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Studies in the same subject were performed at least 1 week apart, and the order of the studies was randomized.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Subjects and Methods
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We conclude that QUICKI is an index of insulin sensitivity obtained from a fasting blood sample that may be useful for clinical research.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“QUICKI is a novel, simple, accurate, and reproducible method for determining insulin sensitivity in humans that may be a useful tool in large epidemiological investigations that study the role of insulin resistance in the pathophysiology of important public health problems such as obesity, cardiovascular diseases, and diabetes.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Relative merits of QUICKI
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Potential limitations to QUICKI include difficulty in applying it to subjects with type 1 diabetes who lack endogenous insulin secretion.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Relative merits of QUICKI
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
The paper relies on this without support.
The glucose clamp is the gold standard method for directly measuring insulin sensitivity in vivo.
“Although the glucose clamp is considered to be the gold standard method for directly measuring insulin sensitivity in vivo, it can be implemented in a number of different ways.”
The paper relies on this without support.
The distribution of fasting insulin values is skewed.
“One rational for these transformations is the fact that the distribution of fasting insulin values is skewed.”
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?
In the citing paper
“A recent placebo-controlled trial of ursodiol in NASH found that a proportion of patients receiving placebo had decreases in steatosis, but that improvements in inflammation and cell injury were uncommon.30”
From A pilot study of pioglitazone treatment for nonalcoholic steatohepatitis (2004) · cites this paper as [30]
In the citing paper
“ndirect estimates of insulin resistance, such as HOMA-IR 63 and QUICKI, 64 are derived from fasting S-insulin and glucose concentrations and have been widely used in both nondiabetic and type 2 diabetic subjects as surrogates of insulin sensitivity.65,66”
From Increased liver fat, impaired insulin clearance, and hepatic and adipose tissue insulin resistance in type 2 diabetes. (2008) · cites this paper as [64]
Citations
Cites
An Introduction to the Bootstrap
Efron, B., & Tibshirani, R. J. (1994) · doi:10.1201/9780429246593 · Cited by 40,500
Matthews, D. R., Hosker, J. P., Rudenski, A. S., Naylor, B. A., Treacher, D. F., & Turner, R. C. (1985) · Diabetologia · doi:10.1007/bf00280883 · Cited by 31,502
An Introduction to the Bootstrap
Efron, B., & Tibshirani, R. J. (1993) · doi:10.1007/978-1-4899-4541-9 · Cited by 21,230
Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus
The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus* (2002) · Diabetes Care · doi:10.2337/diacare.25.2007.s5 · Cited by 10,325
Glucose clamp technique: a method for quantifying insulin secretion and resistance.
DeFronzo, R. A., Tobin, J. D., & Andres, R. (1979) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1979.237.3.e214 · Cited by 7,425
Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus
The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus (1997) · Diabetes Care · doi:10.2337/diacare.20.7.1183 · Cited by 6,220
The Triumvirate: β-Cell, Muscle, Liver: A Collusion Responsible for NIDDM
DeFronzo, R. A. (1988) · Diabetes · doi:10.2337/diab.37.6.667 · Cited by 2,456
Pathogenesis of NIDDM. A balanced overview.
DeFronzo, R. A., Bonadonna, R. C., & Ferrannini, E. (1992) · Diabetes Care · doi:10.2337/diacare.15.3.318 · Cited by 2,085
Reaven, G. M., Lithell, H., & Landsberg, L. (1996) · New England Journal of Medicine · doi:10.1056/nejm199602083340607 · Cited by 1,435
Toward Physiological Understanding of Glucose Tolerance: Minimal-Model Approach
Bergman, R. N. (1989) · Diabetes · doi:10.2337/diab.38.12.1512 · Cited by 1,001
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Kaippert, V. C., Rosado, E. L., Rosa, G., et al. (2011) · PubMed · Cited by 3
Tierney, A. C., McMonagle, J., Shaw, D. I., et al. (2008) · Proceedings of The Nutrition Society · doi:10.1017/s0029665108009427 · Cited by 3
Anabolic Interventions in ESRD: Light at the End of the Tunnel?
Hakim, R. M., & Ikizler, T. A. (2009) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2009.04.018 · Cited by 3
Cabezas-Cerrato, J., & Araújo, D. (2003) · Endocrinología y Nutrición · doi:10.1016/s1575-0922(03)74565-3 · Cited by 3
Vergotine, Z. (2015) · SUNScholar (Stellenbosch University) · Cited by 3
Insulin resistance and the metabolic syndrome
Krentz, A. J., & Scuteri, A. (2017) · Wiley eBooks · doi:10.1002/9781118954621.ch15 · Cited by 5
Pasquali, R., & Gambineri, A. (2007) · Humana Press eBooks · doi:10.1007/978-1-59745-310-3_30 · Cited by 3
Shen, J., Li, K., Yu, H., Ding, B., Xiao, R., & Ma, W. (2021) · Research Square · doi:10.21203/rs.3.rs-577863/v1 · Cited by 2
Sajjadi, S. F., Mirzababaei, A., Ghodoosi, N., Pooyan, S., Arghavani, H., Rasaei, N., Rashidbeygi, E., Yekaninejad, M. S., & Mirzaei, K. (2020) · Research Square · doi:10.21203/rs.3.rs-47451/v1 · Cited by 2
“Insulin sensitivity quantitative insulin sensitivity check index (ISQUICKI) was assessed by: ISQUICKI = 1/[log (fasting insulin) + log (fasting glucose)] [14].”
MethodSridharan, K., Singh, S. R., Cherian, K. E., Kapoor, N., Elizabeth, J., John, J. A., Thomas, N., & Paul, T. V. (2021) · Journal of Spinal Cord Medicine · doi:10.1080/10790268.2021.1888021 · Cited by 2
Suleman, S., Ängquist, L. H., Linneberg, A. R., Hansen, T., & Grarup, N. (2025) · Scientific Reports · doi:10.1038/s41598-025-98507-w · Cited by 2
“Formula (units) Reference Fasting indices QUICKI 1/ (log I 0 (µU/L) + log G 0 (mg/dl) ) Katz et al. 36 Inv-HOMA-IR -1 × (I 0 (µU/L) × G 0 (mmol) ) / 22.5 Matthews et al. 37 OGTT 0,120 indcies Stumvoll Modi 0.156 − 0.0000459× I 120 (pmol/L) − 0.000321× I 0 (pmol/L) − 0.00541× G 120 (mmol/L) Stumvoll…”
InfluentialMathematical Modeling in Diabetes Care and Innovation
Maamar, M. H. (2025) · Industrial and applied mathematics · doi:10.1007/978-981-96-1925-2_4 · Cited by 2
Kotzaeridi, G., Salvatori, B., Piersanti, A., Heinzl, F., Zarotti, S., Kiss, H., Wegener, S., Dressler‐Steinbach, I., Henrich, W., Morettini, M., et al. (2025) · Nutrients · doi:10.3390/nu17203252 · Cited by 2
Pongwattanapakin, K., Care, C., Sitticharoon, C., Wilasrusmee, K. T., Keadkraichaiwat, I., Maikaew, P., & Sririwichitchai, R. (2025) · Scientific Reports · doi:10.1038/s41598-025-21757-1 · Cited by 3
Maikaew, P., Phattanakiatsakul, T., Sitticharoon, C., & Keadkraichaiwat, I. (2025) · Scientific Reports · doi:10.1038/s41598-025-25101-5 · Cited by 2
Sandeep, P. M., Muhammed, S. A. H., Mohan, S., Lakshmanan, M., Bovee, T. F. H., & Sreejith, K. (2025) · Fitoterapia · doi:10.1016/j.fitote.2025.107025 · Cited by 2
King, B. C., Colineau, L., Słaby, J., Kolodziej, O., Dandavate, V., Olsson, R., Fex, M., & Blom, A. M. (2025) · Molecular Metabolism · doi:10.1016/j.molmet.2025.102302 · Cited by 4
“Quantitative Insulin Sensitivity Check Index (QUICKI) [27] was also used to measure insulin sensitivity as follows: QUICKI = 1/[log(I 0 ) + log(G 0 )], where I 0 is the fasting insulin, and G 0 is the fasting glucose.”
Zhou, Y., Song, Y. Q., Du, X., Qin, J., Li, C., Zheng, C., & Liu, Y. (2026) · Journal of Diabetes & Metabolic Disorders · doi:10.1007/s40200-025-01835-x · Cited by 2
“Future studies could extend this comparison to other indices like the Quantitative Insulin Sensitivity Check Index (QUICKI), which shares eGDR’s directional scale, to further contextualize its performance [ 38].”
Fotros, D., Hekmatdoost, A., & Yari, Z. (2026) · Scientific Reports · doi:10.1038/s41598-026-35525-2 · Cited by 2
Yu, L., Amaliyati, S., Sun, H., Dai, J., Jiang, Y., Li, Z., Dong, Z., & Zhao, L. (2026) · American Journal of Clinical Nutrition · doi:10.1016/j.ajcnut.2026.101210 · Cited by 2
Griffen, C., Renshaw, D. W., Duncan, M., Dallaway, A., Randeva, H. S., Weickert, M. O., & Hattersley, J. G. (2026) · Experimental Gerontology · doi:10.1016/j.exger.2026.113101 · Cited by 2
Corapi, S., Runchey, M.-C., Lyons, J., de Leon, M. A., Pavlou, V., Lin, S., Ezpeleta, M., Gabel, K., Tussing-Humphreys, L. M., Oddo, V. M., et al. (2026) · Nature Medicine · doi:10.1038/s41591-026-04316-7 · Cited by 9
“Insulin sensitivity was measured by the quantitative insulin sensitivity check index (QUICKI) and calculated as 1/[log [Insulin (μlU ml −1 )] + log [Glucose (mg dl −1 )] 59 .”
Badrooj, N., Esteghamati, A., Djafarian, K., Yekaninejad, M. S., Mohammadpour, S., Dankoob, V., Reyhan, S. K., Abbaszadeh, M., Emamgholipour, S., & Shab‐Bidar, S. (2026) · Endocrinology Diabetes & Metabolism · doi:10.1002/edm2.70209 · Cited by 2
“For QUICKI calculation, glucose values were converted from mmol/L to mg/dL by multiplying by 18.01 [26].”
InfluentialPérez, M. S., Tellechea, M. L., Aranguren, F., Taverna, M. J., Rodríguez, R. G., Meroño, T., Brites, F. D., Poskus, E., & Frechtel, G. D. (2011) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2011.05.018 · Cited by 2
“[11] Katz A, Nambi SS, Mather K, Baron AD, Follmann DA, Sullivan G, et al.”
BackgroundUsefulness of Oral Glucose Insulin Sensitivity Index in Women with Polycystic Ovary Syndrome
Oh, J. Y., Lee, H., & Sung, Y. (2011) · Ewha Medical Journal · doi:10.12771/emj.2011.34.2.27 · Cited by 2
“We also calculated the glucose insulin ratio (GIR), homeostasis model assessment for insulin resistance (HOMA-IR), fasting Belfiore index, and quantitative insulin sensitivity check index (QUICKI) from fasting glucose and insulin concentrations [8-10,16].”
MethodMorikawa, M., Yamada, T., Yamada, T., et al. (2016) · Taiwanese Journal of Obstetrics and Gynecology · doi:10.1016/j.tjog.2014.10.011 · Cited by 2
“The insulin secretory capacity and the insulin sensitivity/resistance ratio were assessed using several indices, including the quantitative insulin sensitivity check index (QUICKI), [2] the homeostasis model assessment for insulin resistance (HOMA-IR), [3] and the homeostasis model assessment for bcell function (HOMA-…”
MethodEmoto, M., Morioka, T., Yokoyama, H., Sawada-Yamazaki, Y., Motoyama, K., Mori, K., Maekawa, K., Nishizawà, Y., & Inaba, M. (2016) · Springer eBooks · doi:10.1007/978-4-431-55720-3_15 · Cited by 2
Tabassum, A., & Mahboob, T. (2018) · Iranian Journal of Science and Technology Transactions A Science · doi:10.1007/s40995-018-0556-2 · Cited by 2
Mohsen, I. H., Al-Saadi, A. H., Nassir, I. M., et al. (2018) · Journal of Pure and Applied Microbiology · doi:10.22207/jpam.12.3.58 · Cited by 2
Alazouny, Z. M., & Shaheen, M. A. (2020) · Journal of Medical Histology/Journal of Medical Histology · doi:10.21608/jmh.2020.23716.1073 · Cited by 2
“determine lipase and amylase levels[14,15].”
Hamid, H., Kurra, V., Choudhary, M. K., Bouquin, H., Niemelä, O. J., Kähönen, M. A. P., Mustonen, J. T., Pörsti, I. H., & Koskela, J. (2021) · BMC Cardiovascular Disorders · doi:10.1186/s12872-021-02072-9 · Cited by 2
“CKD-EPI cystatin C equation [22], and insulin sensitivity was evaluated by the quantitative insulin sensitivity check index (QUICKI) [23].”
MethodInfluential1,25-dihydroxyvitamin D and cardiometabolic risk in healthy sedentary adults: The FIT-AGEING study
De‐la‐O, A., Jurado‐Fasoli, L., Lavie, C. J., Castillo, M. J., Gutiérrez, Á., & Amaro‐Gahete, F. J. (2021) · International Journal of Cardiology · doi:10.1016/j.ijcard.2021.10.015 · Cited by 2
Asal, D. M., Mesbah, N. M., Abo–Elmatty, D. M., Fathy, H., & Abdel-Hamed, A. R. (2022) · Meta Gene · doi:10.1016/j.mgene.2022.101016 · Cited by 2
Erazmus, M., Rumińska, M., Witkowska–Sędek, E., Kucharská, A., Stelmaszczyk‐Emmel, A., Majcher, A., & Pyrżak, B. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.963467 · Cited by 2
Mendoza, L. C., Harreiter, J., Desoyé, G., Simmons, D. S., Adelantado, J. M., Kautzky‐Willer, A., Zawiejska, A., Wender-Ożegowska, E., Lapolla, A., Dalfrà, M. G., et al. (2022) · Nutrients · doi:10.3390/nu14163256 · Cited by 2
“Kirwan et al. described a correlation between clamp and OGTT-derived HOMA-IR, QUICKI, and Matsuda indices, with the Matsuda index showing the strongest correlation [42].”
MethodInfluentialSaygılı, S., Kocaağa, M., Kaya, G., Şükür, M., Baş, F., Poyrazoğlu, Ş., Bundak, R., & Darendelıler, F. (2022) · Journal of Clinical Research in Pediatric Endocrinology · doi:10.4274/jcrpe.galenos.2022.2022-8-19 · Cited by 2
Hibi, M., Katada, S., Kawakami, A., Bito, K., Ohtsuka, M., Sugitani, K., Muliandi, A., Yamanaka, N., Hasumura, T., Ando, Y., et al. (2023) · JMIR Research Protocols · doi:10.2196/47024 · Cited by 1
Wickramasinghe, P., Wijayawardhana, S., & Arambepola, C. (2023) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2022.0086 · Cited by 2
“13 As an alternative, Homeostasis Model Assessment for Insulin Resistance (HOMA-IR) Index is commonly used to diagnose IR in clinical settings.”
Calcium-phosphate homeostasis and insulin resistance in men
Carnevale, V., Nieddu, L., Scillitani, A., Tinti, M. G., Eller-Vainicher, C., Cosso, R., Rendina, D., & Falchetti, A. (2023) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2023.08.020 · Cited by 2
Bandawane, D. D., Kotkar, A., & Ingole, P. (2023) · Cardiovascular & Haematological Disorders - Drug Targets · doi:10.2174/011871529x273808231129035950 · Cited by 2
Ren, S., Wu, D., & Li, P. (2024) · Clinica Chimica Acta · doi:10.1016/j.cca.2023.117753 · Cited by 3
Nakamura, Y., Otaki, S., Tanaka, Y., Adachi, A., Wada, N., & Tajiri, Y. (2024) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2023.0181 · Cited by 3
“So far, homeostasis model assessment of IR (HOMA-IR) 6 and quantitative insulin sensitivity check index 7 have been proposed and widely used as surrogate indexes of IR in clinical practice.”
Hani, N. S., Vajravelu, M. E., Meijer, J. L., McCaffery, H., Sturza, J. S., Dhadphale, E., & Lee, J. M. (2024) · Pediatric Diabetes · doi:10.1155/2024/2136173 · Cited by 2
“(ii) Whole body sensitivity index (WBISI): (iii) Quantitative insulin sensitivity check index (QUICKI): 1 log I 0 þ log G 0 [11].”
MethodTripathi, P., Tiwari, D., Kathrikolly, T., VYAWAHARE, A. R., Sharma, B., GANLA, M. H., Kuppusamy, M., Vijayakumar, V., Saboo, B., & KADAM, N. S. (2024) · Cureus · doi:10.7759/cureus.60268 · Cited by 2
“The HOMA-IR, HOMA-B, and QUICKI indices were calculated using standard formulas [14,15].”
MethodRole of Hentriacontane on dexamethasone-induced insulin resistance in rats
Sultana, A., Das, B. K., & Saha, D. (2024) · Pharmacological Research - Natural Products · doi:10.1016/j.prenap.2024.100063 · Cited by 2
Ham, J. Y., Jang, Y.-K., Jeon, B. Y., & Shon, Y. H. (2024) · Medicina · doi:10.3390/medicina60081265 · Cited by 2
Torres, A. C. M. B. G., Leite, N., de Souza, R. L. R., Pizzi, J., Milano, G. E., Lazarotto, L., Tureck, L. V., & Alle, L. F. (2024) · Genetics and Molecular Biology · doi:10.1590/1678-4685-gmb-2023-0211 · Cited by 2
“Quantitative Insulin Sensitivity Check Index (QUICKI) was calculated using 1/(log fasting glucose (mmol/L) + log fasting insulin (µU/mL)) (Katz et al., 2000).”
Moshkovits, Y., Goldman, A., Chetrit, A., et al. (2024) · Cardiovascular Diabetology · doi:10.1186/s12933-024-02533-3 · Cited by 2
Baltogianni, M. S., Dermitzaki, N., Giapros, V. I., Balomenou, F., Kosmeri, C., Ladomenou, F., Kantza, E., & Serbis, A. (2025) · Children · doi:10.3390/children12010050 · Cited by 2
“Specifically, the HOMA-IR index was calculated as the product of the FG and insulin concentrations (in mg/dL and µ IU/mL, respectively) divided by 405 and the QUICKI by the following formula 1/[log(fasting insulin in µ IU/mL) + log (FPG in mg/dL)] [13,14].”
Putri, S., Marliyati, S. A., Setiawan, B., et al. (2024) · Nutrición clínica y dietética hospitalaria/Nutrición clínica, dietética hospitalaria · doi:10.12873/444putri · Cited by 2
Clinical and Biochemical Markers in Early Pregnancy for Prediction of Gestational Diabetes Mellitus
Kanwar, J. B., Manglunia, A., Mangaraj, S., Swain, J., Sahoo, A., Singh, J., Sahoo, M., Mishra, S., Gochhait, S., & Ray, S. (2025) · Indian Journal of Endocrinology and Metabolism · doi:10.4103/ijem.ijem_492_23 · Cited by 3
“[11] The uricase calorimetric method on the COBAS 6000 Plus machine was used for uric acid estimation.”
Saghebjoo, M., Moosavi, S. M. S., Ghasemi, E., & Hedayati, M. (2025) · Jundishapur Journal of Natural Pharmaceutical Products · doi:10.5812/jjnpp-158742 · Cited by 2
Woodiwiss, A. J., Norton, G. R., Libhaber, C. D., Sareli, P., & Dessein, P. H. (2025) · Journal of Clinical Medicine · doi:10.3390/jcm14082703 · Cited by 2
周, 肖. (2025) · Advances in Clinical Medicine · doi:10.12677/acm.2025.1551428 · Cited by 2
Pekola-Kiviniemi, M., Tikkakoski, A., Koskela, J., Tahvanainen, A., Mäkelä, S., Jääskeläinen, M., Mustonen, J. T., & Pörsti, I. H. (2025) · Scientific Reports · doi:10.1038/s41598-025-02357-5 · Cited by 3
Njei, B. M., Abdu, M. N., Al‐Ajlouni, Y. A., Mohamed, M. F. H., Deng, Y., Osta, E., Kanmounye, U. S., Vilarinho, S., Dranoff, J. A., Lim, J. K., et al. (2025) · Baylor University Medical Center Proceedings · doi:10.1080/08998280.2025.2524199 · Cited by 2
“16,17 We also assessed the homeostasis model assessment of b -cell function (HOMA-b ), an index of insulin secretory function, calculated as 20 (cid:4) fasting insulin ( m IU/mL)/fasting glucose (mmol/mL) – 3.5.”
InfluentialBody mass index mediates the association between meat intake and insulin sensitivity
Clapham, A. R., Root, M. M., & Ekker-Runde, C. (2020) · Nutrition Research · doi:10.1016/j.nutres.2020.06.008 · Cited by 2
Dhanasekara, C. S., Dawson, J., Martin, C. K., & Dhurandhar, N. V. (2021) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2021.01.010 · Cited by 2
Chodari, L., Pourheydar, B., Dariushnejad, H., Jamshidi, S., Khalaji, N., & Ghorbanzadeh, V. (2021) · Brazilian Archives of Biology and Technology · doi:10.1590/1678-4324-2021200037 · Cited by 2
Serum osteoprotegerin and cardiometabolic risk factors in overweight and obese children
Rumińska, M., Witkowska–Sędek, E., Stelmaszczyk‐Emmel, A., Majcher, A., Kucharská, A., & Pyrżak, B. (2021) · Archives of Medical Science · doi:10.5114/aoms/140394 · Cited by 2
Diagnosing Obesity, Diabetes Mellitus, and Insulin Resistance Syndrome
Barb, D., & Mantzoros, C. S. (2006) · Humana Press eBooks · doi:10.1007/978-1-59259-985-1_8 · Cited by 2
Meyer, M. L., Tepper, P. G., Barinas‐Mitchell, E., Korytkowski, M. T., & Talbott, E. O. (2015) · Journal of Clinical Ultrasound · doi:10.1002/jcu.22280 · Cited by 2
“For this analysis, the quantitative insulin sensitivity check index (QUICKI) was calculated (QUICKI 5 1/[log fasting insulin concentration (mU/mL) 1 log glucose concentration (mg/dL)]).(32)”
MethodInsulin Resistance in Childhood and Adolescence
Ehehalt, S., & Neu, A. (2011) · KARGER eBooks · doi:10.1159/000327414 · Cited by 2
HDL, apo B/apo A1 ratio, Diabetes Mellitus and Cardiovascular Disease
Sultan, D., Sachu, P., & Elshaari, F. A. (2013) · InTech eBooks · doi:10.5772/56476 · Cited by 2
Calvar, C. E., Bengolea, S. V., Hermes, R., & Loyato, M. (2007) · PubMed · Cited by 2
Lin, C.-J., Chu, N., Hung, Y., Pei, D., Lee, C.-H., Hsiao, F., Lu, C., & Hsieh, C. (2015) · Journal of Genetics · doi:10.1007/s12041-015-0549-2 · Cited by 2
“SBP, systolic blood pressure; DBP, diastolic blood pressure; BMI, body mass index; FPG, fasting plasma glucose; TG, triglyceride; HDL-C, high-density lipoprotein cholesterol; FPI, fasting plasma insulin; HOMA-IR, homeostasis model assessment-insulin resistance; QUICKI, quick insulin sensitivity check index; WBC, white…”
MethodCalcium-stimulation test for the assessment of β-cell function in cats
Slingerland, L. I., Rijnberk, A., & Kooistra, H. S. (2007) · Research in Veterinary Science · doi:10.1016/j.rvsc.2007.05.021 · Cited by 2
Rodríguez, B. C., Giménez, R. Á. F. D. L. P., Ibarrola, G. M., et al. (2007) · Medicina Clínica · doi:10.1157/13100336 · Cited by 2
Savastano, S., Valentino, R., Pizza, G., Rosa, A. D., Orio, F., Passaretti, F., Formisano, P., Lombardi, G., Beguinot, F., & Colao, A. (2010) · Journal of Endocrinological Investigation · doi:10.1007/bf03346622 · Cited by 2
Kahara, T., Keiko, U. E. N. O., Torita, M., et al. (2007) · Endocrine Journal · doi:10.1507/endocrj.k06-143 · Cited by 2
“A recent study showed that QUICKI is a more accurate index of insulin sensitivity than HOMA (homeostasis model assessment) across a broad range of insulin sensitivities [15].”
BackgroundLin, C.-M., Warram, J. H., & Veng‐Pedersen, P. (2011) · Journal of Pharmacokinetics and Pharmacodynamics · doi:10.1007/s10928-011-9208-2 · Cited by 2
Insulin and the Physiology of Carbohydrate Metabolism
Pereira, S., & Giacca, A. (2011) · Energy balance and cancer · doi:10.1007/978-1-4419-9911-5_1 · Cited by 3
Kim, H.-J., Byun, E. K., Oh, J. Y., Sung, Y., & Chung, H. (2006) · The Journal of Korean Diabetes Association · doi:10.4093/jkda.2006.30.4.277 · Cited by 2
Kim, M. K., Lee, I. S., Jang, H. W., Joung, K. H., Kim, K. S., Kim, H. J., Lee, T. Y., Kim, Y. K., & Ku, B. J. (2011) · The Korean Journal of Obesity · doi:10.7570/kjo.2011.20.2.75 · Cited by 2
The “mobile-phonocardiogram”, a new tool in the arrhythmia clinic
Finlay, M., Porter, A. G., & Fox, K. (2006) · Heart · doi:10.1136/hrt.2005.076315 · Cited by 2
Vyssoulis, G. P., Liakos, C. I., Karpanou, E. A., Triantafyllou, A. I., Michaelides, A. P., Tzamou, V., Markou, M. I., & Stefanadis, C. (2013) · Journal of the American Society of Hypertension · doi:10.1016/j.jash.2013.02.007 · Cited by 2
Lee, L., Leow, M. K., Xu, Y., et al. (2015) · Diabetic Medicine · doi:10.1111/dme.12889 · Cited by 2
Geetha, R., & Anuradha, C. V. (2014) · International Research Journal of Pharmacy · doi:10.7897/2230-8407.0510164 · Cited by 2
Stress, Depression, and Cardiovascular Risk in Children
Byrne, D. G., OLIVE, L. S., & Telford, R. M. (2016) · Springer eBooks · doi:10.1007/978-981-287-206-7_12 · Cited by 2
Leonardou, A., Karystianos, C., Argyropoulos, C., Nikiforidis, G. C., Kalfarentzos, F. E., & Alexandrides, T. K. (2016) · Surgery for Obesity and Related Diseases · doi:10.1016/j.soard.2016.04.009 · Cited by 2
“This is a simple and reproducible method for determining insulin sensitivity and has a very good linear correlation with the euglycemic hyperinsulinemic clamp in obese patients [17].”
Method[Receptor CD36 expression on peripheral blood monocytes in women with visceral obesity].
Kuliczkowska-Płaksej, J., Bednarek-Tupikowska, G., & Filus, A. (2008) · PubMed · Cited by 2
Gesteiro, E., Sánchez-Muniz, F. J., & Bastida, S. (2017) · InTech eBooks · doi:10.5772/64946 · Cited by 2
“studied in adults [65, 66], but this occurred sparingly in neonates [59, 67] and more often in low birthweight populations [68].”
BackgroundVitamin D Status and Glucose Hemostasis among Saudi Type 2 Diabetic Patients
Jiffri, E. H. (2017) · Journal of Diabetes Metabolic Disorders & Control · doi:10.15406/jdmdc.2017.04.00117 · Cited by 2
Kwon, S.-Y., & Na, Y. (2017) · Korean Journal of Clinical Laboratory Science · doi:10.15324/kjcls.2017.49.3.239 · Cited by 2
Isojärvi, H., Keinanen-Kiukaanniemi, S. M., Kallio, M., Kaikkonen, K., Jämsä, T. J., Korpelainen, J. T., & Korpelainen, R. (2017) · Journal of Clinical Neurophysiology · doi:10.1097/wnp.0000000000000425 · Cited by 2
“This method is significantly correlated with the hyperinsulinemic euglycemic glucose clamp and is considered a valid method for evaluating insulin resistance in obese patients (11).”
MethodŠebeková, K., Csongová, M., Gurecká, R., Krivošíková, Z., & Šebek, J. (2017) · Experimental and Clinical Endocrinology & Diabetes · doi:10.1055/s-0043-119877 · Cited by 2
Adipokines Profile and Glucose Control of Saudi Patients with Nonalcoholic Fatty Liver Disease
Al-Jiffri, O. H. (2017) · Advanced Research in Gastroenterology & Hepatology · doi:10.19080/argh.2017.05.555660 · Cited by 2
“However, insulin sensitivity was assessed by The quantitative insulinsensitivity check index (QUICKI) using the formula: QUICKI=1/ [log(insulin)+log(glucose)] [17].”
MethodPakhomova, A. V., Pershina, О. V., Krupin, V. A., et al. (2017) · Bulletin of Siberian Medicine · doi:10.20538/1682-0363-2017-4-220-232 · Cited by 2
Amiri, P., Naghizadeh, M., Baradaran, B., Saghafi‐Asl, M., Shanehbandi, D., & Mirmajidi, S. (2018) · International Journal of Diabetes in Developing Countries · doi:10.1007/s13410-018-0626-1 · Cited by 2
“[30] 68 Int J Diabetes Dev Ctries (January–March 2019) 39(1):66–73”
BackgroundLinearization based Safety Verification of a Glucose Control Protocol
Samaddar, A., Rahiminasab, Z., Easwaran, A., Banerjee, A., & Bai, X. (2019) · IEEE International Symposium on Real-Time Distributed Computing (ISORC) · doi:10.1109/isorc.2019.00047 · Cited by 2
GSTT1, Calpain 10 SNP 19 and indices of glycaemia in type 2 diabetes
Osman, H. S., Osman, M. Y., & Alsaidy, A. (2019) · British Journal of Biomedical Science · doi:10.1080/09674845.2019.1660501 · Cited by 2
“assessment for insulin resistance (HOMA-IR) index was calculated as (fasting blood glucose x fasting insulin)/ 405 [7].”
BackgroundMethodKumar, R. A. (2019) · International Journal of Medical Research and Review · doi:10.17511/ijmrr.2019.i05.04 · Cited by 1
“QUICKI is a novel, simple, accurate, and reproducible method for determining insulin sensitivity in humans that may be a useful tool in large epidemiological investigations that study the role of insulin resistance in the pathophysiology of important public health problems such as obesity, cardiovascular diseases, and…”
MethodClark, P. M. S., & McDonald, T. J. (2013) · Elsevier eBooks · doi:10.1016/b978-0-08-097037-0.00064-6 · Cited by 2
Trubnikova, O. A., Мамонтова, А. С., Tarasova, I. V., Валерьевна, М. О., Kuzmina, A. A., & Барбараш, О. Л. (2015) · Terapevticheskii arkhiv · doi:10.17116/terarkh201587169-75 · Cited by 2
Deepika, R. S., Shashidhar, K., Raveesha, A., et al. (2020) · Biomedical & Pharmacology Journal · doi:10.13005/bpj/2077 · Cited by 2
Recommendations for the Early Recognition and Prevention of Polycystic Ovary Syndrome
Chang, R. J. (2008) · Humana Press eBooks · doi:10.1007/978-1-59745-108-6_10 · Cited by 2
Morettini, M., Piersanti, A., Burattini, L., Pacini, G., Göbl, C. S., Åhrén, B., & Tura, A. (2021) · Biomedicines · doi:10.3390/biomedicines9080973 · Cited by 2
“The data are reported as median [interquartile range]; KG: intravenous glucose tolerance index; SI: insulin sensitivity during the IVGTT; QUICKI: insulin sensitivity at fasting; SG: glucose effectiveness; AIRG: acute insulin response to glucose; DI: disposition index; AUCSECR: area under the curve of insulin secretion…”
MethodInfluentialMechanisms Linking Obesity to Cancer Risk
Imayama, I., Mason, C. E., & Duggan, C. R. (2010) · Springer eBooks · doi:10.1007/978-1-4419-7551-5_6 · Cited by 3
Vaziri, N. D., James, R., Roberts, K., Won, D., Pruthi, S., & Kurtovic, S. (2006) · Cited by 2
Policaptil Gel Retard® reduces body weight and improves insulin sensitivity in obese subjects
Centorame, G., BALDASSARRE, M. P. A., Dalmazi, G. D., Gambacorta, F. V., Febo, F., Consoli, A., & Formoso, G. (2022) · Italian Journal of Food Science · doi:10.15586/ijfs.v34i2.2204 · Cited by 2
Metadata
- Authors
- Katz, A., Nambi, S. S., Mather, K., Baron, A. D., Follmann, D. A., Sullivan, G., & Quon, M. J.
- Affiliations
- National Institutes of Health (US)
- Indiana University Indianapolis (US)
- Venue
- The Journal of Clinical Endocrinology & Metabolism
- Publisher
- The Endocrine Society
- Published
- 2000-07-01
- Volume
- 85
- Issue
- 7
- Pages
- 2402-2410
- ISSN
- 0021-972X (ISSN-L)
- 1945-7197
- OpenAlex
- W2126327417
- Cited by
- 3,931
- References
- 48
- Citations by year
- 2026: 97 · 2025: 129 · 2024: 142 · 2023: 174 · 2022: 188 · 2021: 173 · 2020: 184 · 2019: 145 · 2018: 153 · 2017: 174 · 2016: 170 · 2015: 164 · 2014: 184 · 2013: 219 · 2012: 169
- FWCI
- 33.24
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Journal of Clinical Endocrinology & Metabolism (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Heart, Lung, and Blood Institute
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Pancreatic function and diabetes
- Keywords
- QUICKI, insulin sensitivity, insulin resistance, fasting insulin, fasting blood glucose, glucose clamp, minimal model analysis, type 2 diabetes, obesity, insulin resistance index
- MeSH terms
- Adult, Blood Glucose, Diabetes Mellitus, Female, Glucose Tolerance Test, Humans, Insulin, Insulin Resistance, Male, Middle Aged, Models, Biological, Obesity, Glucose Clamp Technique
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.
A language model drew the claims from the paper on 2026-10-11, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-10-11 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
Cited sources are checked with a language model’s help (gpt-6-sol).
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 ›
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