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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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
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Hong, S., Park, C., Hwang, D., Han, K. A., Lee, C. B., Chung, C. H., Yoon, K., Mok, J., Park, K. S., & Park, S. (2017) · Diabetes Obesity and Metabolism · doi:10.1111/dom.12870 · Cited by 28
“QUICKI was calculated using the following formula: 1/(log [fasting insulin (μU/mL)] + log [fasting glucose (mg/dL)]).(9) In this study, mean daily glucose (MDG) was derived from the mean value of 7-point glucose measurements (before and 2 hours after breakfast, lunch and dinner, and before bedtime).”
MethodEndocrine and metabolic assessment in adults with Langerhans cell histiocytosis
Montefusco, L. B., Harari, S. A., Elia, D., Rossi, A., Specchia, C., Torre, O., Adda, G., & Arosio, M. (2017) · European Journal of Internal Medicine · doi:10.1016/j.ejim.2017.11.011 · Cited by 28
“5 (homeostasis model of assessment index) [42] and QUICKI = 1/(log FG (mg/dL)·log FI (mU/L)) [43] (quantitative sensitivity check index).”
BackgroundAshwini, S., Bobby, Z., Joseph, M. P., Jacob, S. E., & Padmapriya, R. (2015) · Journal of Functional Foods · doi:10.1016/j.jff.2015.06.024 · Cited by 28
Exercise and Insulin Resistance in Youth
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“These measures include fasting insulin, the homeostasis model assessment of insulin resistance (HOMA-IR) (21), the quantitative insulin-sensitivity check index (18), and several oral glucose toleranceYderived indices (20).”
BackgroundBağış, T., Gökçel, A., Zeyneloğlu, H. B., Tarım, E., Kılıçdağ, E. B., & Haydardedeoğlu, B. (2002) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2002-020294 · Cited by 30
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“The recently developed quantitative insulin-sensitivity check index (QUICKI; Katz et al. 2000), which takes the product of both the reciprocal and the logarithm of fasted insulin and glucose concentrations, gives values that correlate well with the glucose clamp (r 0.78, P < 0.00) and minimal model…”
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Selimoğlu, H., Duran, C., Kiyici, S. K., Güçlü, M., Ersoy, C., Özkaya, G., Ertürk, E., Tuncel, E., & İmamoğlu, Ş. (2009) · Endocrine · doi:10.1007/s12020-009-9213-z · Cited by 28
Komatsu, M., Ohfusa, H., Aizawa, T., & Hashizume, K. (2007) · Endocrine Journal · doi:10.1507/endocrj.k07-032 · Cited by 28
“Homeostasis model assessment insulin-resistance (HOMA-IR) and quantitative insulin sensitivity check index (QUICKI) were calculated as previously reported [23, 24].”
MethodVaidya, D. M., Dobs, A. S., Gapstur, S. M., Golden, S. H., Cushman, M., Liu, K., & Ouyang, P. (2012) · International Journal of Obesity · doi:10.1038/ijo.2012.3 · Cited by 27
Wickenberg, J., Lindstedt, S., Nilsson, J. Å., & Hlebowicz, J. (2014) · Nutrition Journal · doi:10.1186/1475-2891-13-96 · Cited by 27
“Both Homa-IR and Quick provide quantitative measurements based on fasting insulin and fasting glucose levels, while ISI is based on the oral glucose tolerance test.”
Effects of Two Training Modalities on Body Fat and Insulin Resistance in Postmenopausal Women
Henríquez, S., Monsalves‐Álvarez, M., Jimenez, T., Barrera, G., Hirsch, S., de la Maza, M. P., Leiva, L., Rodriguez, J. M., Silva, C., & Bunout, D. C. (2017) · The Journal of Strength and Conditioning Research · doi:10.1519/jsc.0000000000002089 · Cited by 26
“Withdrawal of 3 fasting blood samples within 30 minutes, to calculate the Homeostasis Model Assessment (HOMA) (27) and Quantitative insulin sensitivity check index (QUIKI) (22) indexes of insulin resistance from glucose (measured using the hexokinase method) and insulin Figure 1.”
MethodProcesses Underlying Glycemic Deterioration in Type 2 Diabetes: An IMI DIRECT Study
Bizzotto, R., Jennison, C., Jones, A. G., Kurbasic, A., Tura, A., Kennedy, G., Bell, J. D., Thomas, E. L., Frost, G. S., Eriksen, R., et al. (2020) · Diabetes Care · doi:10.2337/dc20-1567 · Cited by 28
Trindade, P., Soares, E. D. R., Inada, K. O. P., Martins, F. F., Rudnicki, M., Perrone, D., Monteiro, M. C., Souza‐Mello, V., & Daleprane, J. B. (2021) · British Journal Of Nutrition · doi:10.1017/s0007114521001136 · Cited by 30
“Insulin sensitivity was assessed by using quantitative insulin sensitivity check index (1/log insulin (mU/l)þ log glucose (mg/dl))(23).”
MethodVestergaard, E. T., Zubanovic, N. B., Rittig, N. F., Møller, N., Kuhre, R. E., Holst, J. J., Rehfeld, J. F., & Thomsen, H. H. (2021) · Diabetes Obesity and Metabolism · doi:10.1111/dom.14402 · Cited by 27
“Total GLP-1 (GLP-1 [7-36] amide and its metabolite, GLP-1 [9-36] amide) and total GIP (GIP [1-42] and its metabolite, GIP [3-42]) were measured with ELISA according to the manufacturer's instructions (#10-1278-01, #10-1258-01; Mercodia, Uppsala, Sweden).”
MethodBelladelli, F., Boeri, L., Pozzi, E., Fallara, G., Corsini, C., Candela, L., Cazzaniga, W., Cignoli, D., Pagliardini, L., d’Arma, A., et al. (2022) · Metabolites · doi:10.3390/metabo12020143 · Cited by 31
“However, the insulin test is expensive and not routinely performed worldwide [18,19].”
BackgroundAlidu, H. W., Dapare, P. P. M., Quaye, L., Amidu, N., Bani, S. B., & Banyeh, M. (2023) · BioMed Research International · doi:10.1155/2023/8873226 · Cited by 34
“34 were considered to indicate insulin resistance [24].”
BackgroundVariability of formulas to assess insulin sensitivity and their association with the Matsuda index.
Henríquez, S., Jara, N., Bunout, D. C., Hirsch, S., de la Maza, M. P., Leiva, L., & Barrera, G. (2013) · PubMed · doi:10.3305/nh.2013.28.5.6512 · Cited by 27
“Los coeficientes de variación individual del HOMA-IR, HOMA-β y QUICKI fueron 11,8 (7,8-18,9), 15 (10,2-22,9) and 1,8 (8,8-21,9) %, respectivamente.”
BackgroundZeelie, A., Moss, S. J., & Kruger, H. S. (2010) · Nutrition · doi:10.1016/j.nut.2010.03.001 · Cited by 27
“of the Quantitative Insulin Sensitivity Check Index [20].”
MethodScreening Markers of Impaired Glucose Tolerance in the Obese Pediatric Population
Tsay, J., Pomeranz, C. B., Hassoun, A. A., Zandieh, S., Rutledge, J., Vogiatzi, M. G., Oberfield, S. E., & Motaghedi, R. (2010) · Hormone Research in Paediatrics · doi:10.1159/000277625 · Cited by 27
Derakhshan, A., Tohidi, M., Arshi, B., Khalili, D., Azizi, F., & Hadaegh, F. (2014) · Diabetic Medicine · doi:10.1111/dme.12560 · Cited by 27
Hernández‐Álvarez, M. I., Chiellini, C., Manco, M., Naón, D., Liesa, M., Palacı́n, M., Mingrone, G., & Zorzano, A. (2009) · Diabetologia · doi:10.1007/s00125-009-1403-y · Cited by 27
“[27].”
A fractional-order model for MINMOD Millennium
Cho, Y., Kim, I., & Sheen, D. (2015) · Mathematical Biosciences · doi:10.1016/j.mbs.2014.11.008 · Cited by 28
Clapp, J. F., & Lopez, B. (2007) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2006.0040 · Cited by 27
“The quantitative insulin sensitivity check index (1 (cid:6) log fasting glucose (cid:7) log fasting insulin) 21 and the homeostasis model of assessment, an index of insulin resistance (the product of fasting insulin and glucose concentrations divided by a constant [22.5]) 22 were calculated using…”
InfluentialLasram, M. M., El-Golli, N., Jrad-Lamine, A., Douib, I. B., Bouzid, K., Annabi, A. B., Fazâa, S. E., Abdelmoula, J., & Gharbi, N. (2014) · General and Comparative Endocrinology · doi:10.1016/j.ygcen.2014.10.002 · Cited by 27
Tan, K. K., & Kim, K. H. (2013) · Evidence-based Complementary and Alternative Medicine · doi:10.1155/2013/845172 · Cited by 27
“Indeed, the improved insulin sensitivity was reflected by the decreased HOMA index and increased QUICKI values.”
ResultInfluentialEffects of alternate-day fasting on high-fat diet-induced insulin resistance in rat skeletal muscle
Higashida, K., Fujimoto, E., Higuchi, M., & Terada, S. (2013) · Life Sciences · doi:10.1016/j.lfs.2013.06.007 · Cited by 28
Índice HOMA (homeostasis model assessment) na prática clínica: uma revisão
de Oliveira, E. P., de Souza, M. L. D., & de Lima, M. D. D. A. (2005) · Jornal Brasileiro de Patologia e Medicina Laboratorial · doi:10.1590/s1676-24442005000400004 · Cited by 33
“(8), entre outros, e podem ser agrupados em dois modelos: um, baseado na medida dinâmica das respostas insulínica e/ou glicêmica após estímulo, tais como clamp euglicêmico(15), modelo mínimo(8), continuous infusion of glucose with model assessment (CIGMA)(30) e insulin sensitivity index (ISI)(55); o outro, assentado e…”
Major depression, borderline personality disorder, and visceral fat content in women
Greggersen, W., Rudolf, S., Faßbinder, E., DIBBELT, L., Stoeckelhuber, B. M., Hohagen, F., Oltmanns, K. M., Kahl, K. G., & Schweiger, U. (2011) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-011-0194-6 · Cited by 27
“sensitivity check index (QUICKI) was calculated as the reciprocal of the log of the product of fasting insulin and glucose concentrations [19].”
MethodUkkola, O. H., Vasunta, R.-L., & Kesäniemi, Y. A. (2009) · Hypertension Research · doi:10.1038/hr.2009.137 · Cited by 27
Koiou, E., Τζιόμαλος, Κ., Katsikis, I., Kalaitzakis, E., Kandaraki, E., Tsourdi, E. A., Delkos, D., Papadakis, E. P., & Panidis, D. (2011) · European Journal of Endocrinology · doi:10.1530/eje-11-0144 · Cited by 27
“The Quantitative insulin sensitivity check index (QUICKI) was calculated according to the following formula: QUICKI = 1 / [logInsulin (μIU/ml) + logGlucose (mg/dl)] [24].”
MethodA simple tool to predict exercise capacity of obese patients with ischaemic heart disease
Gondoni, L. A., Liuzzi, A., Titon, A. M., Taronna, O., Nibbio, F., Ferrari, P., & Leonetti, G. (2005) · Heart · doi:10.1136/hrt.2005.064758 · Cited by 27
Kashi, Z., Masoumi, P., Mahrooz, A., Hashemi‐Soteh, M. B., Bahar, A., & Alizadeh, A. (2015) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2015.01.024 · Cited by 27
The Association of Retinol-Binding Protein 4 With Metabolic Syndrome and Obesity in Adolescents
Lin, C.-J., Chu, N., Hung, Y., Chang, J., He, C., Hsiao, F., & Hsieh, C. (2012) · Clinical Pediatrics · doi:10.1177/0009922812459948 · Cited by 26
“Additionally, the Quick insulin sensitivity check index (QUICKI) was calculated according to an established formula: 1/(log FPI+ log FPG).(22)”
MethodTakamura, T., Kita, Y., Nakagen, M., Sakurai, M., Isobe, Y., Takeshita, Y., Kawai, K., Urabe, T., & Kaneko, S. (2017) · Heliyon · doi:10.1016/j.heliyon.2017.e00347 · Cited by 27
“The quantitative insulin sensitivity check index (QUICKI), a parameter of insulin sensitivity, was calculated using the logarithmic transformation: 1/[log fasting insulin (μU/mL) + log fasting glucose (mg/dL)] [10].”
MethodYi, Y. H., Cho, Y. H., Kim, Y. J., et al. (2019) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s185604 · Cited by 26
“These findings also suggest that IOP changes may be associated with MetS, and particularly, IR.”
InfluentialΜanios, Y., Kourlaba, G., Kafatos, A., et al. (2008) · Acta Paediatrica · doi:10.1111/j.1651-2227.2008.00729.x · Cited by 27
Effect of GH on human skeletal muscle lipid metabolism in GH deficiency
Trepp, R., Flück, M., Stettler, C., Boesch, C., Ith, M., Kreis, R., Hoppeler, H. H., HOWALD, H., Schmid, J., Diem, P., et al. (2008) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00010.2008 · Cited by 27
“The quantitative insulin sensitivity check (QUICKI) indexes were calculated as 1/[log fasting insulin concentration (mU/l) log fasting glucose concentration (mg/dl)] (19).”
MethodLack of association between UCP2 gene polymorphisms and obesity phenotype in Italian Caucasians
Maestrini, S., Podestà, F., Blasio, A. M. D., Savia, G., Brunani, A., Tagliaferri, A., Mencarelli, M., Chiodini, I., & Liuzzi, A. (2003) · Journal of Endocrinological Investigation · doi:10.1007/bf03348196 · Cited by 27
Serum adiponectin levels in adult growth hormone deficiency and acromegaly
Fukuda, I., Hizuka, N., Ishikawa, Y., Itoh, E., Yasumoto, K., Murakami, Y., Sata, A., Tsukada, J., Kurimoto, M., Okubo, Y., et al. (2004) · Growth Hormone & IGF Research · doi:10.1016/j.ghir.2004.06.005 · Cited by 27
Burgert, T. S., Vuguin, P. M., DiMartino-Nardi, J., Attie, K. M., & Saenger, P. H. (2002) · Hormone Research in Paediatrics · doi:10.1159/000057945 · Cited by 27
“This report supports the surging interest in new [”
ResultUkkola, O. H., & Kesäniemi, Y. A. (2007) · Metabolism · doi:10.1016/j.metabol.2007.04.019 · Cited by 28
Lichnovská, R., Gwozdziewiczová, S., & Hřebíček, J. (2002) · Cardiovascular Diabetology · doi:10.1186/1475-2840-1-4 · Cited by 27
Bayesian hierarchical approach to estimate insulin sensitivity by minimal model.
Agbaje, O., Luzio, S., Albarrak, A., Lunn, D., Owens, D., & Hovorka, R. (2003) · Clinical science · doi:10.1042/cs20030117 · Cited by 25
Chamma, C. M. D. O., Bargut, T. C. L., Mandarim-de-Lacerda, C. A., & Aguila, M. B. (2017) · Food & Function · doi:10.1039/c6fo01663d · Cited by 27
Aliyu, U., Toor, S. M., Abdalhakam, I., Elrayess, M. A., Samra, A. B. A., & Albagha, O. (2025) · Frontiers in Endocrinology · doi:10.3389/fendo.2025.1591677 · Cited by 32
Glesby, M. J., Albu, J., Chiu, Y., Ham, K., Engelson, E. S., He, Q. W., Muthukrishnan, V., Ginsberg, H. N., Donovan, D., Ernst, J., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0061160 · Cited by 26
“They also had to have evidence of insulin resistance based on a quantitative insulin sensitivity check index [16] (QUICKI)#0.”
MethodLi, Q., Li, B., Miao, X., Ramgattie, C., Gao, Z., & Liu, J. (2016) · Endocrinology · doi:10.1210/en.2016-1551 · Cited by 26
Smolders, L., Mensink, R. P., Boekschoten, M. V., de Ridder, R. J. J., & Plat, J. (2017) · Clinical Nutrition · doi:10.1016/j.clnu.2017.06.007 · Cited by 26
İlhan, G. A., Yıldızhan, B., & Pekin, T. (2018) · Gynecological Endocrinology · doi:10.1080/09513590.2018.1519794 · Cited by 27
“The fasting glucoseinsulin ratio (FGIR) was obtained by dividing fasting glucose (mg/dL) by the fasting insulin (mIU/mL), and Quantitative insulin sensitivity check index(QUICKI) was calculated by the formula: 1/[log fasting insulin (lU/mL)þlog fasting glucose (mg/dL)] [15].”
MethodCardiovascular disease risk in the siblings of women with polycystic ovary syndrome
Subramaniam, K., Vipin, V. P., Kapoor, A., et al. (2019) · Human Reproduction · doi:10.1093/humrep/dez104 · Cited by 26
Amaro‐Gahete, F. J., De‐la‐O, A., Jurado‐Fasoli, L., Martínez‐Téllez, B., Ruiz, J. R., & Castillo, M. J. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8122097 · Cited by 27
“However, both the QUICKI [32] and HOMA [33] methods have been validated for assessing insulin sensitivity and insulin resistance, respectively.”
MethodOsinski, V., Bauknight, D. K., Dasa, S. S. K., Harms, M., Kroon, T., Marshall, M. A., Garmey, J. C., Nguyen, A. T., Hartman, J., Upadhye, A., et al. (2019) · Theranostics · doi:10.7150/thno.36572 · Cited by 28
“The following equation is used to calculate this index: QUICKI Index = 1/[log(I0) + log(G0)] where I0 is fasting insulin in μU/mL and G0 is fasting glucose in mg/dL [42].”
MethodWelboren, A. C. (2022) · The Atrium (University of Guelph) · doi:10.3168/jds.2020-19405
“Second, the quantitative insulin sensitivity check index (QUICKI) was calculated with the following equation (Katz et al. (2000): + log baseline insulin (mU/L).”
MethodMoshkovits, Y., Rott, D., Chetrit, A., & Dankner, R. S. (2021) · Cardiovascular Diabetology · doi:10.1186/s12933-021-01284-9 · Cited by 25
“Furthermore, the abnormal quartiles of Ln HOMA-IR and QUICKI were also associated with an additional 20% risk for all-cause mortality and for cardiovascular mortality, but reached statistical significance for all-cause mortality only.”
MethodInfluentialPredictors of type-2 diabetes remission following bariatric surgery after a two-year follow-up
Salman, M. A., Rabiee, A., Salman, A., Elewa, A., Tourky, M. S., Mahmoud, A. A., Moustafa, A., Shaaban, H. E., Ismail, A. A., Noureldin, K., et al. (2022) · Asian Journal of Surgery · doi:10.1016/j.asjsur.2021.12.070 · Cited by 32
Hendawy, A. S., El-Lakkany, N. M., Mantawy, E. M., Hammam, O. A., Botros, S. S., & El‐Demerdash, E. (2022) · Life Sciences · doi:10.1016/j.lfs.2022.120695 · Cited by 28
Nikbaf‐Shandiz, M., Tutunchi, H., Khoshbaten, M., Nazari‐Bonab, H., & Ebrahimi‐Mameghani, M. (2022) · Food & Function · doi:10.1039/d2fo01280d · Cited by 26
Zhao, C., Pu, Z., Gao, J., Liu, C., Xing, J., Lang, W., Chen, J., Yuan, C., & Zhou, C. (2023) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.2c05595 · Cited by 26
Yau, P. L., Kim, M., Tirsi, A., & Convit, A. J. (2014) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/jamapediatrics.2014.2815 · Cited by 26
Ohno, T., Shimizu, M., Shirakami, Y., Baba, A., Kochi, T., Kubota, M., Tsurumi, H., Tanaka, T., & Moriwaki, H. (2015) · PLoS ONE · doi:10.1371/journal.pone.0124081 · Cited by 26
“QUICKI was determined as follows: QUICKI = 1 ⁄ [log(I0) + log (G0)], where I0 is the fasting insulin (μU/ml) and G0 is the fasting glucose (mg/dl), which correlates with the glucose clamp method [41].”
MethodSakkas, G. K., Karatzaferi, C., Zintzaras, E., Giannaki, C. D., Liakopoulos, V., Lavdas, E., Damani, E., Liakos, N., Fezoulidis, I. V., Koutedakis, Y., et al. (2008) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.00935.2007 · Cited by 26
Regulation of Insulin Action by Diet and Exercise
Schmidt, S. L., & Hickey, M. S. (2009) · Journal of Equine Veterinary Science · doi:10.1016/j.jevs.2009.04.185 · Cited by 26
Dietary fiber improves lipid homeostasis and modulates adipocytokines in hamsters
Hung, S., Bartley, G. E., Young, S. A., Albers, D. R., Dielman, D., Anderson, W. H. K., & YOKOYAMA, W. H. (2009) · Journal of Diabetes · doi:10.1111/j.1753-0407.2009.00034.x · Cited by 26
Association Between Serum Vitamin D and Metabolic Risk Factors in Korean Schoolgirls
Jang, H. B., Lee, H., Park, J. Y., Kang, J., & Song, J. (2013) · Osong Public Health and Research Perspectives · doi:10.1016/j.phrp.2013.06.004 · Cited by 26
“5] and insulin sensitivity was estimated by QUICKI [1 / (log insulin (mIU/mL) þ log glucose (mg/dL))] [19].”
MethodAccurate screening for insulin resistance in PCOS women using fasting insulin concentrations
Lunger, F., Wildt, L., & Seeber, B. (2013) · Gynecological Endocrinology · doi:10.3109/09513590.2013.774362 · Cited by 27
“QUICKI [22,23] QUIKI 1⁄4 1 log finsþlog fgluc 50.”
BackgroundZhang, Y., Rodrigues, E., Gao, Y., King, M., Cheng, K., Erdös, B., Tümer, N., Carter, C., & Scarpace, P. J. (2010) · Neuroscience · doi:10.1016/j.neuroscience.2010.06.001 · Cited by 26
Comparison of Insulin Sensitivity Measures in South Asians
Trikudanathan, S., Raji, A., Chamarthi, B., Seely, E., & Simonson, D. (2013) · Metabolism: Clinical and Experimental · doi:10.1016/j.metabol.2013.05.016 · Cited by 32
“QUICKI was calculated as inverse of the sums of logarithms of fasting insulin and fasting glucose [13].”
MethodElevated Endothelin-1 (ET-1) Levels May Contribute to Hypoadiponectinemia in Childhood Obesity
Nacci, C., Leo, V., Benedictis, L. D., Carratù, M. R., Bartolomeo, N., Altomare, M., Giordano, P., Faienza, M. F., & Montagnani, M. (2013) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2012-4119 · Cited by 25
“However, when assessed by surrogate QUICKI index, insulin sensitivity was reduced in OW and Ob children with respect to lean subjects (Table 1).”
MethodInfluentialSíndrome metabólico en la infancia
Ceballos, L. T. (2007) · Anales de Pediatría · doi:10.1157/13098934 · Cited by 26
Serum interleukin-15 levels in cancer patients with cachexia
Martínez-Hernández, P. L., HERNANZ-MACÍAS, Á., Gómez‐Candela, C., Grande-Aragón, C., Feliú-Batlle, J., de Castro, J., MARTÍNEZ-MUÑOZ, I., ZURITA-ROSA, L., Villarino-Sanz, M., Prados‐Sánchez, C., et al. (2012) · Oncology Reports · doi:10.3892/or.2012.1928 · Cited by 26
“Insulin resistance was detected by the quantitative insulin sensitivity check index (QUICKI) (20).”
Cut-off values of waist circumference to predict metabolic syndrome in obese adolescents.
Masquio, D. C. L., de Piano, A., Campos, R. M. D. S., et al. (2015) · PubMed · doi:10.3305/nh.2015.31.4.8442 · Cited by 25
Giavoli, C., Ferrante, E., Profka, E., Olgiati, L., Bergamaschi, S., Ronchi, C. L., Verrua, E., Filopanti, M., Passeri, E., Montefusco, L. B., et al. (2010) · European Journal of Endocrinology · doi:10.1530/eje-10-0317 · Cited by 26
Villarreal, R., Mitrofanova, A. V., Maiguel, D. A., Morales, X., Jeon, J., Grahammer, F., Leibiger, I. B., Guzman, J., Fachado, A., Yoo, T., et al. (2015) · Journal of the American Society of Nephrology · doi:10.1681/asn.2015020210 · Cited by 26
Sohrevardi, S. M., Nosouhi, F., Khalilzade, S. H., Kafaie, P., Karimi‐Zarchi, M., Halvaei, I., & Mohsenzadeh, M. (2016) · International Journal of Reproductive BioMedicine (IJRM) · doi:10.29252/ijrm.14.12.743 · Cited by 26
“In this investigation, insulin resistance was evaluated by different methods consisted of the homeostasis model assessment (HOMA), the quantitative insulin sensitivity check index (QUICKI) and fasting glucose to fasting insulin ratio (34, 35).”
MethodMotta, V. F., Bargut, T. C. L., Águila, M. B., & Mandarim‐de‐Lacerda, C. A. (2017) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00154.2017 · Cited by 27
“(QUICKI) [1 / log (fasting insulin μU / mL) + log (fasting glucose mg / dL)] (24).”
Hulgan, T. (2018) · Current HIV/AIDS Reports · doi:10.1007/s11904-018-0399-7 · Cited by 29
Tarantino, G., Costantini, S., Citro, V., Conforti, P., Capone, F., Sorice, A., & Capone, D. (2019) · Journal of Translational Medicine · doi:10.1186/s12967-018-1754-6 · Cited by 26
Nanda, D., Chandrasekaran, S. P., Ramachandran, V., Kalaivanan, K., & Anuradha, C. V. (2019) · Indian Journal of Clinical Biochemistry · doi:10.1007/s12291-018-0808-0 · Cited by 26
“Body weight, glucose, insulin, HOMA-IR, FIRI, LH, LH:FSH ratio, testosterone and TG were found to be significantly higher whereas QUICKI and FSH values were significantly lower in PCOS subjects compared to control.”
MethodFarias, G., Netto, B. D. M., Boritza, K. C., Bettini, S. C., Vilela, R. M., & Dâmaso, A. R. (2020) · Obesity Surgery · doi:10.1007/s11695-020-04411-9 · Cited by 26
Hays, N. P., Starling, R. D., Sullivan, D. H., et al. (2006) · Metabolism · doi:10.1016/j.metabol.2005.11.005 · Cited by 26
“[10] [9]”
MethodTso, A. W. K., Tan, K. C. B., Wat, N. M. S., et al. (2006) · Metabolism · doi:10.1016/j.metabol.2006.04.012 · Cited by 26
“Insulin sensitivity was estimated using the quantitative insulin sensitivity check index (QUICKI), calculated as 1/[log (fasting glucose in mmol/L 18) + log (fasting insulin in mIU/L)] [16].”
MethodEffect of Glycemic Load on Peptide‐YY Levels in a Biracial Sample of Obese and Normal Weight Women
Brownley, K. A., Heymen, S., Hinderliter, A. L., & MacIntosh, B. (2009) · Obesity · doi:10.1038/oby.2009.368 · Cited by 26
“Peptide YY(3-36)-induced inhibition of food intake in female monkeys.”
BackgroundMethodPeripartum maternal and foetal ghrelin, growth hormones, IGFs and insulin interrelations
Fuglsang, J., Sandager, P., Møller, N., Fisker, S., Frystyk, J., & Ovesen, P. (2006) · Clinical Endocrinology · doi:10.1111/j.1365-2265.2006.02498.x · Cited by 26
Mousavinasab, F., Tähtinen, T., Jokelainen, J. J., Koskela, P. U., Vanhala, M. J., Oikarinen, J. A., & Keinanen-Kiukaanniemi, S. M. (2005) · Endocrine · doi:10.1385/endo:26:1:065 · Cited by 26
Panidis, D., Τζιόμαλος, Κ., Koiou, E., Kandaraki, E., Tsourdi, E. A., Delkos, D., Kalaitzakis, E., & Katsikis, I. (2010) · Reproductive Biology and Endocrinology · doi:10.1186/1477-7827-8-151 · Cited by 26
“(QUICKI) was calculated according to the following formula: QUICKI = 1/[log Insulin (mIU/l) + log Glucose (mg/dl))][28].”
MethodCai, G., Cole, S. A., FREELAND-GRAVES, J. H., MacCluer, J. W., Blangero, J., & Comuzzie, A. G. (2004) · Diabetes · doi:10.2337/diabetes.53.5.1369 · Cited by 26
Vanithadevi, B., & Anuradha, C. V. (2019) · International Journal of Diabetes and Metabolism · doi:10.1159/000497651 · Cited by 26
Physiological restitution after night‐call duty in anaesthesiologists: impact on metabolic factors
Malmberg, B., Persson, R., Jönsson, B., Erfurth, E. M., Flisberg, P., Ranklev, E., & Ørbæk, P. (2007) · Acta Anaesthesiologica Scandinavica · doi:10.1111/j.1399-6576.2007.01350.x · Cited by 26
“For detection of insulin resistance, the QUICKI index was calculated from values of fasting insulin and glucose, which is considered to give the same information as a glucose clamp test, which is golden standard, but not suitable for field studies (24).”
MethodGermain, N., Viltart, O., Loyens, A., Bruchet, C., Nadin, K., Wolowczuk, I., Estour, B., & Galusca, B. (2016) · PLoS ONE · doi:10.1371/journal.pone.0161890 · Cited by 26
“HOMA and QUICKI index were calculated in OB population [29].”
MethodBiomarkers of insulin sensitivity/resistance
Kosmas, C. E., Sourlas, A., Oikonomakis, K., Zoumi, E.-A., Papadimitriou, A., & Kostara, C. E. (2024) · Journal of International Medical Research · doi:10.1177/03000605241285550 · Cited by 31
Cefis, M., Marcangeli, V., Hammad, R., Granet, J., Leduc‐Gaudet, J., Gaudreau, P., Trumpff, C., Huang, Q., Picard, M. A., Aubertin‐Leheudre, M., et al. (2025) · Cell Reports Medicine · doi:10.1016/j.xcrm.2025.101968 · Cited by 26
Serum Acylated Ghrelin Is Negatively Correlated with the Insulin Resistance In the CODING study
Amini, P., Wadden, D., Cahill, F., Randell, E. W., Vasdev, S., Chen, X., Gulliver, W. P., Zhang, W., Zhang, H., Yi, Y., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0045657 · Cited by 26
“It is determined by this mathematical equation [24]:”
BackgroundInsulin resistance and inflammation markers in myocardial infarction
Учасова, Е. Г., Gruzdeva, O. V., Шурыгина, Dyleva, Y. A., Belik, E. V., & Барбараш, О. Л. (2013) · Journal of Inflammation Research · doi:10.2147/jir.s43081 · Cited by 25
“005, which according to Katz et al corresponded to severe IR.(14) Analysis of FFA concentration changes in MI patients showed significant differences compared to the controls both at day 1 and at day 12 of the disease (Table 4).”
BackgroundKopprasch, S., Dheban, S., Bergmann, S., Graessler, J., Schwarz, P. E. H., & Bornstein, S. R. (2015) · Clinical Endocrinology · doi:10.1111/cen.12811 · Cited by 25
Daghestani, M. H., Daghestani, M. H., Warsy, A. S., El-Ansary, A. K., Omair, M. A., Omair, M. A., Hassen, L. M., Al-Humaidhi, E. M. H., Alqahtani, B., & Harrath, A. H. (2021) · Frontiers in Endocrinology · doi:10.3389/fendo.2021.665446 · Cited by 23
“To evaluate insulin resistance in the PCOS and control groups, the value of Quantitative Insulin Sensitivity Check Index (QUICKI) (24) was calculated applying the formula: QUICKI = 1=½(log fasting Insulin (mU=ml)) + (log fasting glucose (mg=ml)) , The value of QUICKI for the PCOS and controls is presented in Table 1.”
BackgroundMethodInfluentialHannemann, J., Laing, A., Middleton, B., Schwedhelm, E., Marx, N., Federici, M., Kastner, M., Skene, D. J., & Böger, R. H. (2023) · Pharmacological Research · doi:10.1016/j.phrs.2023.107011 · Cited by 26
Khamseh, M. E., Malek, M., Jahangiri, S., Nobarani, S., Hekmatdoost, A., Salavatizadeh, M., Soltanieh, S., Chehrehgosha, H., Taheri, H., Montazeri, Z., et al. (2024) · Digestive Diseases and Sciences · doi:10.1007/s10620-024-08309-9 · Cited by 26
“2.2 [19, 20]; The Quantitative Insulin Sensitivity Check Index (QUICKI): 1/[log fasting insulin (µU/mL) + log fasting glucose (mg/dL)] [21]; Bennett index: 1/[log fasting insulin (µU/mL) × log fasting glucose (mmol/L)] [22]; Glucose-insulin Ratio: fasting glucose (mg/dL)/fasting insulin (µU/mL)…”
InfluentialAudı́, L., Carrascosa, A., Esteban, C., Fernández‐Cancio, M., Andaluz, P., Yeste, D., Espadero, R., Granada, M., Wollmann, H. A., Fryklund, L., et al. (2008) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2008-0150 · Cited by 25
Nasry, M., Abo‐Youssef, A. M., & El‐Latif, H. A. A. (2013) · Beni-Suef University Journal of Basic and Applied Sciences · doi:10.1016/j.bjbas.2013.09.008 · Cited by 25
“Insulin sensitivity was calculated using quantitative insulin sensitivity check index (QISCKI) (Katz et al., 2000).”
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).
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