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
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The Triumvirate: β-Cell, Muscle, Liver: A Collusion Responsible for NIDDM
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Pathogenesis of NIDDM. A balanced overview.
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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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Mahwish, Saeed, F., Nosheen, F., Ain, Q., Niaz, B., Afzaal, M., Ehsan, K., Hussain, M., Imran, M., & Jbawi, E. M. A. (2023) · Cogent Food & Agriculture · doi:10.1080/23311932.2023.2242634 · Cited by 5
“Testing of blood samples The concentration of glucose was determined by GOD-PAP method (Katz et al., 2000).”
MethodJetton, T. L., Galbraith, O. T., Peshavaria, M., Bonney, E. A., Holmén, B. A., & Fukagawa, N. K. (2023) · Chemosphere · doi:10.1016/j.chemosphere.2023.140480 · Cited by 5
Bozbulut, R., Döğer, E., Çamurdan, M. O., & Bıdecı, A. (2023) · Hormone Research in Paediatrics · doi:10.1159/000535053 · Cited by 6
“The QUICKI index was calculated as 1/[log(fasting insulin in μ U/ml)+log(fasting glucose in mg/dL)] [27].”
Carobene, A., Kilpatrick, E. S., Bartlett, W. A., Fernández–Calle, P., Coşkun, A., Díaz–Garzón, J., Jonker, N., Locatelli, M., Sandberg, S., & Aarsand, A. K. (2024) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2024-0672 · Cited by 7
Zieleniewska, N. A., Jamiołkowski, J., Chlabicz, M., Łukasiewicz, A., Dubatówka, M., Kondraciuk, M., Sowa, P., Kowalska, I., & Kamiński, K. A. (2024) · PLoS ONE · doi:10.1371/journal.pone.0309896 · Cited by 5
“Quantitative insulin sensitivity check index (QUICKI) was defined as 1/[log(I 0 ) + log(G 0 )], where I 0 is the fasting insulin ( μ U/ml), and G 0 is the fasting glucose (mmol/l) [15].”
MethodSuzuki, K., Tsujiguchi, H., Hara, A., Takeshita, Y., Goto, H., Nakano, Y., Yamamoto, R., Takayama, H., Tajima, A., Yamashita, T., et al. (2024) · Journal of Diabetes Investigation · doi:10.1111/jdi.14351 · Cited by 5
Interaction of fetuin-A with obesity related insulin resistance and diabetes mellitus
Öner-İyidoğan, Y., & Koçak, H. (2024) · Turkish Journal of Biochemistry · doi:10.1515/tjb-2024-0235 · Cited by 6
Reproducibility of Fasting and OGTT-derived Insulin Resistance Indices in Normoglycemic Women
Çakır, M., Sarı, R., Tosun, Ö., et al. (2006) · Canadian Journal of Diabetes · doi:10.1016/s1499-2671(06)01001-x · Cited by 5
Potenza, M. A., Montagnani, M., Nacci, C., & Salvia, M. A. D. (2016) · Food & Nutrition Research · doi:10.3402/fnr.v60.28373 · Cited by 5
“Insulin sensitivity was determined by quantitative insulin sensitivity check index (QUICKI), calculated according to the following equation: 1/[Log (fasting insulin, mU/ml) Log (fasting glucose, mg/dl)] (16).”
MethodInfluentialDiabetes and Metabolic Syndrome
Mahfoud, F., Ewen, S., & Böhm, M. (2014) · Springer eBooks · doi:10.1007/978-1-4471-5223-1_23 · Cited by 5
Kim, H., Kang, J., Jung, D., Kang, B., Chang, D., & Yang, M. (2020) · Domestic Animal Endocrinology · doi:10.1016/j.domaniend.2020.106506 · Cited by 5
Olaniyi, K. S., Sabinari, I. W., & Olatunji, L. A. (2020) · Heliyon · doi:10.1016/j.heliyon.2020.e05863 · Cited by 5
Roumane, A., Mcilroy, G. D., Balci, A., Han, W., Delibegović, M., Baldassarre, M., Newsholme, P., & Rochford, J. J. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10030441 · Cited by 6
“The quantitative insulin sensitivity check index (QUICKI) was calculated as previously described [18].”
MethodEffects of Gynura bicolor on Glycemic Control and Antioxidant Ability in Prediabetes
Hsia, C., Tung, Y., Yeh, Y., & Chien, Y. (2021) · Applied Sciences · doi:10.3390/app11115066 · Cited by 4
“QUICKI is a novel, simple, accurate and reproductive method for determining insulin sensitivity in humans [30].”
MethodRao, M., Zumbro, E. L., Broughton, K. S., & LeMieux, M. J. (2021) · Nutrition Research · doi:10.1016/j.nutres.2021.06.005 · Cited by 5
RetractedMa, N., Xu, N., Yin, D., Zheng, P., Liu, W., Wang, G., Hui, Y., Zhang, J., Han, G., Yang, C., et al. (2021) · Therapeutic Advances in Endocrinology and Metabolism · doi:10.1177/20420188211049615 · Cited by 5
Jianjun, L., Liu, X., & Li, H. (2022) · Cellular and Molecular Biology · doi:10.14715/cmb/2021.67.4.22 · Cited by 5
Moshkovits, Y., Rott, D., Chetrit, A., & Dankner, R. S. (2022) · PLoS ONE · doi:10.1371/journal.pone.0272437 · Cited by 5
Byerley, L. O., Chang, H.-M., Lorenzen, B., et al. (2022) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2022.113728 · Cited by 5
“Blood glucose, insulin, and several measures of insulin responsiveness (HOMA-IR, Quicki, and FG-IR) were measured (Fig.”
MethodInfluentialAlbalwa, K., Kenawy, M., Elfallah, A. A., et al. (2022) · Journal of Cosmetic Dermatology · doi:10.1111/jocd.15545 · Cited by 5
Vergani, E., Bruno, C., Gavotti, C., Oliva, A., Currò, D., & Mancini, A. (2022) · Journal of Endocrinological Investigation · doi:10.1007/s40618-022-01974-5 · Cited by 6
“QUICKI index was calculated according to the formula 1/ log [fasting insulin (μUI/ml)] + log [fasting glucose (mg/dl)] [53].”
MethodBettahi, I., Krishnankutty, R., Jaganjac, M., Suleiman, N., Ramanjaneya, M., Jerobin, J., Hassoun, S., Alkasem, M., Abdelhakam, I., Iskandarani, A., et al. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.1024832 · Cited by 5
Beaudry, M., Bissonnette, S., Lamantia, V., Devaux, M., & Faraj, M. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24076130 · Cited by 5
“The quantitative insulin sensitivity check index (QUICKI) is another widely used model for IS, which is considered identical to HOMA-IR except that QUICKI uses a log transform of the glucose and insulin product [7].”
MethodSeegmiller, J. C., Schmit, D. J., Arends, V. L., Steffes, M. W., Kahn, S. E., & Younes, N. (2023) · Diabetes Obesity and Metabolism · doi:10.1111/dom.15072 · Cited by 5
Laupsa‐Borge, J., Grytten, E., Bohov, P., Bjørndal, B., Strand, E., Skorve, J., Nordrehaug, J. E., Berge, R. K., Rostrup, E., Mellgren, G., et al. (2023) · Frontiers in Nutrition · doi:10.3389/fnut.2023.1020678 · Cited by 5
“n-6: females 115 (102, 130) 119 (105, 135) +2.”
MethodHead, K. Z., Bolatimi, O. E., Gripshover, T. C., Tan, M., Li, Y., Audam, T. N., Jones, S. P., Klinge, C. M., Cave, M. C., & Wahlang, B. (2023) · Frontiers in Gastroenterology · doi:10.3389/fgstr.2023.1180712 · Cited by 6
Seva, D. C., Mônico‐Neto, M., Antunes, H. K. M., Pino, J. M. V., Bittencourt, L., Galvão, T. D., Dâmaso, A. R., Oyama, L. M., Shivappa, N., Hébert, J. R., et al. (2023) · Obesity Surgery · doi:10.1007/s11695-023-06743-8 · Cited by 5
“Moreover, in our results, there was a negative correlation between ∆DII® and ∆QUICKI, suggesting that a reduction in value of DII® is associated with an improvement in insulin sensibility and probably a reduction in the risk developing comorbidities.”
MethodInfluentialMohanraj, N., Prasanth, S., Rajapriya, P., et al. (2023) · International Archives of Occupational and Environmental Health · doi:10.1007/s00420-023-02007-1 · Cited by 5
“Insulin resistance is a crucial risk factor for developing type 2 diabetes mellitus in humans, and Homa-IR was used to measure insulin resistance (Katz et al. 2000).”
MethodYuan, K., Wu, B., Zeng, R., Zhou, F., Hu, R., & Wang, C. (2023) · Diabetes Obesity and Metabolism · doi:10.1111/dom.15303 · Cited by 5
Mancini, A., Vergani, E., Bruno, C., Giavoli, C., Spaziani, M., Isidori, A. M., Arosio, M., & Pontecorvi, A. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1298775 · Cited by 5
Šebeková, K., Gurecká, R., & Podracká, Ľ. (2024) · Children · doi:10.3390/children11010066 · Cited by 5
“Insulin sensitivity was estimated using the quantitative insulin sensitivity check index (QUICKI) [31], the atherogenic index of plasma (AIP) was calculated as log((TAG)/HDL-C) [32], and the continuous metabolic syndrome score (cMSS)—an estimate of cardiometabolic risk—was derived by incorporating…”
MethodPreclinical evaluation of tissue-selective gene therapies for congenital generalised lipodystrophy
Tiwari, M., Roumane, A., Sommer, N., Han, W., Delibegović, M., Rochford, J. J., & Mcilroy, G. D. (2024) · Gene Therapy · doi:10.1038/s41434-024-00471-z · Cited by 6
“Quantitative insulin sensitivity check index (QUICKI) was calculated as previously described [16].”
MethodAdams, M. S., Mensink, R. P., Plat, J., Winkens, B., & Joris, P. J. (2024) · European Journal of Nutrition · doi:10.1007/s00394-024-03566-w · Cited by 6
“…for insulin resistance, fasting glucose and insulin concentrations were taken to calculate the Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) and Homeostatic Model Assessment for Beta-cell function (HOMA-β) [24] and quantitative insulin-sensitivity check index (QUICKI) [25].”
Use of a simple liquid meal test to evaluate insulin sensitivity and beta‐cell function in children
Chandler-Laney, P. C., Higgins, P. B., Granger, W. M., Alvarez, J. A., Casazza, K., Fernández, J. R., Man, C. D., Cobelli, C., & Gower, B. A. (2013) · Pediatric Obesity · doi:10.1111/j.2047-6310.2013.00147.x · Cited by 5
“Surrogate indices of insulin resistance (HOMA-IR, (6)) and insulin sensitivity (QUICKI (7)) also were calculated in order to examine associations of these commonly used indices with SI-meal and SI-FSIGT.”
BackgroundMethodBoyer, W. R., Johnson, T. M., Fitzhugh, E. C., Richardson, M. R., & Churilla, J. R. (2015) · Diabetes and Vascular Disease Research · doi:10.1177/1479164115592637 · Cited by 5
The Diagnosis of Prediabetes in Adolescents
Zdravković, V., Sajić, S., Mitrović, J., Stefanovic, I., Pavićević, P., Nikolić, D. M., Dimić, J., & Lalić, N. (2014) · Journal of Medical Biochemistry · doi:10.2478/jomb-2014-0062 · Cited by 7
Han, S. H., Chin, B. S., Choi, H. K., et al. (2009) · The Tohoku Journal of Experimental Medicine · doi:10.1620/tjem.219.145 · Cited by 5
“Quantitative Insulin Sensitivity Check Index (QUICKI) as a marker for insulin sensitivity was calculated using the following formula: 1/[log(fasting insulin) (µU/mL) + log(fasting glucose) (mg/dL)] (Katz et al. 2000).”
MethodCoquart, J. B., Boitel, G., Borel, B., Matran, R., Mounier‐Véhier, C., & Garcin, M. (2014) · Journal of Exercise Science & Fitness · doi:10.1016/j.jesf.2014.09.002 · Cited by 5
Estimation of the disposition index based on components of metabolic syndrome
Lin, J., Hsieh, C. H., Liu, C. C., Lian, W., Wu, C., Hsu, C., Pei, D., Hsia, T., & Chen, Y. (2014) · Endocrine Journal · doi:10.1507/endocrj.ej13-0510 · Cited by 5
“Previous studies have predicted IS based on demographic characteristics and routine biochemical data [6, 12-14, 16-18].”
BackgroundMethodBahia, L., Kraemer‐Aguiar, L. G., Villela, N. R., Bottino, D. A., Godoy‐Matos, A. F., & Bouskela, E. (2006) · Arquivos Brasileiros de Cardiologia · doi:10.1590/s0066-782x2006000500007 · Cited by 5
The influence of fitness on insulin resistance in obese children
Carrel, A. L., & Allen, D. B. (2009) · Reviews in Endocrine and Metabolic Disorders · doi:10.1007/s11154-009-9109-5 · Cited by 5
“Since measurement of IR appears to serve as a reliable “marker” for associated risks of obesity [ 13 , 25], targeting IR may provide a more effective population health strategy than weight alone in an environment which promotes childhood obesity [26].”
BackgroundBrandão, M., Lopes, C. M. M., & Ramos, E. (2013) · Preventive Medicine · doi:10.1016/j.ypmed.2013.06.028 · Cited by 5
“001 t1:7QUICKI b 0.38 (0.09) 0.39 (0.09) 0.36 (0.08) b0.”
MethodInfluentialSong, Y., Lee, K., & Sung, J. (2014) · Twin Research and Human Genetics · doi:10.1017/thg.2014.23 · Cited by 5
“The QUICKI, a robust index of insulin sensitivity, was computed as follows: 1/[log(fasting insulin IU/mL) + log(fasting glucose mg/dL)] (Katz et al., 2000).”
Hioki, C., Yoshida, T., Kogure, A., Yoshimoto, K., & Shimatsu, A. (2010) · The Open Endocrinology Journal · Cited by 5
Hernández, I. A., Martínez, R. G., García, E. G., et al. (2017) · Pediatric Diabetes · doi:10.1111/pedi.12533 · Cited by 5
“5)(27) and the QUICKI was calculated as (1/log [fasting insulin] + log [fasting glucose]).(28) IR, hyperglycaemia, and hypertriglyceridaemia were defined as insulinaemia > 90th percentile,(29) glycaemia > 90th percentile, and triglyceridaemia > 90th percentile, respectively, by age and sex of the study population, as…”
MethodSeo, D. H., Cho, Y., Lee, S. J., Park, S., Kim, S. I., Park, B., & Rhee, Y. (2017) · The Korean Journal of Internal Medicine · doi:10.3904/kjim.2016.205 · Cited by 5
Kamble, P. G., Gustafsson, S., Pereira, M. J., Lundkvist, P., Cook, N. L., Lind, L., Franks, P. W., Fall, T., Eriksson, J. W., & Ingelsson, E. (2017) · Upsala Journal of Medical Sciences · doi:10.1080/03009734.2017.1405127 · Cited by 5
Zafaranieh, S., Choobineh, S., & Soori, R. (2018) · Sport Sciences for Health · doi:10.1007/s11332-018-0430-9 · Cited by 5
“Insulin sensitivity was measured using HOMA-IS formula [34]: HOMA-IR = Fasting insulin (micro U∕L)”
MethodSchmidt, H., Sydlik, C., Weißenbacher, C., et al. (2019) · Indian Journal of Endocrinology and Metabolism · doi:10.4103/ijem.ijem_91_18 · Cited by 5
“5 × 18,[27] for QUICKI = 1/(log(FPI) + log(FPG)),[28] and for ISI = 10.”
ResultDifferences in omentin-1 levels in term newborns according to birth weight
Hernández-Rodríguez, C. E., Estrada-Zúñiga, C. M., de la O-Cavazos, M. E., Rodríguez, F. G., Rodríguez‐Balderrama, I., Zapata-Castilleja, C. A., & Treviño‐Garza, C. (2019) · Early Human Development · doi:10.1016/j.earlhumdev.2019.104842 · Cited by 5
Polycystic Ovary Syndrome and Hyperandrogenic States
Chang, R. J. (2013) · Elsevier eBooks · doi:10.1016/b978-1-4557-2758-2.00022-6 · Cited by 4
Walczak, M., Szalecki, M., Horneff, G., et al. (2021) · Therapeutic Advances in Endocrinology and Metabolism · doi:10.1177/20420188211013121 · Cited by 5
Sánchez-Rodríguez, E., Vázquez, A., Biel-Glesson, S., Fernandez-Navarro, J. R., Espejo-Calvo, J. A., Olmo-Peinado, J. M., de la Torre, R., Fito-Colomer, M., Covas, M. I., Romero, C., et al. (2021) · Journal of Functional Foods · doi:10.1016/j.jff.2021.104561 · Cited by 5
Lee, J., Chang, Y., Kim, Y., et al. (2022) · Breast Cancer Research and Treatment · doi:10.1007/s10549-022-06513-7 · Cited by 5
“Forth, although HOMA-IR has been well correlated with euglycemic insulin clamp data [44], IR, in our study, was determined based on insulin or HOMA-IR levels, but not on euglycemic insulin clamp analyses, the reference methods to assess insulin action, which are not practical for population studies including a low-ris…”
MethodAkan, O. Y., & Bilgir, O. (2022) · Revista da Associação Médica Brasileira · doi:10.1590/1806-9282.20211215 · Cited by 7
Ha, M., Lee, J., Jeong, W.-M., Kim, H. R., & Son, W. H. (2022) · Metabolites · doi:10.3390/metabo12100970 · Cited by 5
“For the QUICKI, the interaction effect was also significant (p = 0.002) and the within-group analysis showed a significant decrease in the CON group from 0.62 ± 0.44 to 0.21 ± 0.12 (p = 0.005) and a significant increase in the EX group from 0.14 ± 0.82 to 0.41 ± 0.27 (p = 0.046, Table S4).”
MethodInfluentialSokooti, S., Szili‐Török, T., Heerspink, H. J. L., Dullaart, R. P. F., & Bakker, S. J. L. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12237296 · Cited by 6
“…including homeostasis model assessment–insulin resistance (HOMA-IR), visceral adiposity index (VAI), lipid accumulation product (LAP), or triglycerides-and-glucose (TyG) index, are accepted for epidemiological or clinical studies in the general population because of their simplicity [12–14].”
BackgroundAzziz, R. (2007) · Humana Press eBooks · doi:10.1007/978-1-59745-310-3_1 · Cited by 5
Lai, Y. ‐., Li, H., Hung, C. S., Lin, M. ‐., Shih, S., Ma, W. ‐., Hua, C., Chuang, L., Sung, F., & Wei, J. (2012) · Diabetic Medicine · doi:10.1111/dme.12008 · Cited by 5
Lin, Y.-C., Su, C., Shiue, H.-S., Chen, W., Chen, Y., Choy, C.-S., Chiou, H., Han, B., & Hsueh, Y. (2017) · Scientific Reports · doi:10.1038/s41598-017-03084-2 · Cited by 5
Celada, P., Olmedilla‐Alonso, B., Delgado‐Pando, G., Raposo, R., Jiménez-Colmenero, F., Garcimartín, A., & Sánchez-Muniz, F. J. (2019) · Journal of the American College of Nutrition · doi:10.1080/07315724.2018.1513345 · Cited by 6
“Insulin resistance or sensitivity was tested using the Quantitative Insulin Sensitivity Check Index (QUICKI) (22), and Homostatic Model Assessment–insulin resistance (HOMA-IR) (23).”
MethodInfluentialPathogenesis of Insulin Resistance
Zaman, G. S. (2020) · IntechOpen eBooks · doi:10.5772/intechopen.92864 · Cited by 6
Sajjadi, S. F., Mirzababaei, A., Abdollahi, A., Shiraseb, F., & Mirzaei, K. (2021) · BMC Research Notes · doi:10.1186/s13104-021-05582-z · Cited by 5
“Insulin sensitivity quantitative insulin sensitivity check index (ISQUICKI) was assessed by: ISQUICKI = 1/[log (fasting insulin) + log (fasting glucose) [20].”
MethodHsu, W., Tseng, C.-W., Huang, Y.-T., Liang, C., Lee, M., & Chen, S. (2021) · Healthcare · doi:10.3390/healthcare9081010 · Cited by 5
“It has been shown to be a reproducible, reliable, accurate and validated index of insulin sensitivity with good positive predictive power [31].”
BackgroundInsulin Resistance and the Metabolic Syndrome
Banerji, M. A., Lam, M. L., & Chaiken, R. L. (2017) · Springer eBooks · doi:10.1007/978-3-319-20797-1_34-2 · Cited by 5
Diabetes Mellitus and Magnesium
Emoto, M., & Nishizawà, Y. (2007) · Springer eBooks · doi:10.1007/978-1-84628-483-0_16 · Cited by 5
Insulin resistance and schizophrenia: Results from the Northern Finland 1966 Birth Cohort
Timonen, M., Saari, K. M., Jokelainen, J. J., Meyer‐Rochow, V. B., Räsänen, P. K., & Koponen, H. (2009) · Schizophrenia Research · doi:10.1016/j.schres.2009.05.010 · Cited by 5
Evidence that the association between exercise intensity and insulin sensitivity is sex dependent
Hougham, K. A., & Ross, R. (2011) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/h11-093 · Cited by 5
Massin, N., Galey, J., Basille, C., Théron-Gérard, L., Bry‐Gauillard, H., Cédrin‐Durnerin, I., & Hugues, J. (2003) · Gynécologie Obstétrique & Fertilité · doi:10.1016/s1297-9589(03)00046-8 · Cited by 5
García-Díaz, J. D. D., de Guzmán, A. L., Monzó, L. S., et al. (2008) · Medicina Clínica · doi:10.1157/13116327 · Cited by 5
Rajala, U., Laakso, M., Päivänsalo, M. J., et al. (2005) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2005.01.001 · Cited by 5
Assessment of Insulin Resistance and Its Clinical Application
Kim, J.-H., Lee, L. Y., & Lee, S. (2009) · Journal of Korean Endocrine Society · doi:10.3803/jkes.2009.24.2.75 · Cited by 5
“‘QUICKI = 1 / [log (공복 혈중인슐린, uU/mL) + log (공복 혈당, mg/dL)]'의 공식으로 얻어진 QUICKI는 글 루코스 클램프에서 얻어진 SIClamp 지표와 HOMA-IR이나 최소 모델에서 얻어진 SI보다 우수한 선형 관계를 보여준 다[18~21].”
InfluentialKotler, D. P., He, Q. W., Engelson, E. S., Albu, J., & Glesby, M. J. (2014) · Antiviral Therapy · doi:10.3851/imp2927 · Cited by 5
“There also was no correlation between change in hepatic fat content and change in QUICKI (P=0.6) or frequently sampled IV glucose tolerance test (FSIVGTT; P=0.57).”
MethodInfluentialWu, C., Pei, D., Su, C., Hsiao, F., Chu, Y., Lee, L.-H., Wang, K., Hsieh, A., Lin, J.-D., & Hsia, T. (2010) · Annals of the Academy of Medicine Singapore · doi:10.47102/annals-acadmedsg.v39n1p4 · Cited by 5
Inside out the Ragbag of Glucose Intolerance in Obese Adolescents
Brufani, C., Tura, A., Bedogni, G., Luciano, R., Sbrignadello, S., Fintini, D., Cappa, M., Weiss, R., & Manco, M. (2017) · Hormone Research in Paediatrics · doi:10.1159/000464144 · Cited by 5
González-Albarrán, O., & García‐Robles, R. (2001) · Diabetes Care · doi:10.2337/diacare.24.11.1998 · Cited by 5
Regulation of glucose metabolism in dairy cattle
Stanley, C. C. (2005) · Louisiana State University · doi:10.31390/gradschool_dissertations.31 · Cited by 7
Zarkesh, M., Saba, R., Aghazadeh, H., Teymoori, F., Akbarzadeh, M., Asghari, G., Montazeri, M., Ghasemi, A., Yuzbashian, E., Zadeh–Vakili, A., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-05233-4 · Cited by 5
“The quantitative insulin-sensitivity check index (QUICKI) was calculated based on the formula proposed by Katz et al. 36 = 1/[log(fasting insulin (µU/mL) + log(fasting glucose (mg/dL)].”
Weight loss mediates improvement in proinsulin processing during GLP-1 receptor agonist treatment
Liu, R., Hou, D., Leng, M., Li, Z., Zhang, Y., Liu, L., Wang, X., & Li, C. (2025) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-025-01765-x · Cited by 4
“Quantitative insulin sensitivity check index (QUICKI)[18] was calculated as 1/(Log FPG (mg/dl) + Log FINS((μU/mL)).”
Wang, X., He, Z., Ji, J., Zhang, S., Li, J., Zhang, J., Yu, W., Yang, H., Han, Z., Mi, Y., et al. (2025) · BMC Medicine · doi:10.1186/s12916-025-04281-x · Cited by 4
Laskou, M., Delbare, S., Gildea, M., Weinstock, A., Virginio, V. D. M., Forest, M. L., Krautter, F., Donahoe, C., Amadori, L., Eberhardt, N., et al. (2025) · JCI Insight · doi:10.1172/jci.insight.193593 · Cited by 4
Zhang, D., Wen, Z., Jiang, T., & Sun, Y. (2021) · Peptides · doi:10.1016/j.peptides.2021.170595 · Cited by 4
Soleimani, E., Rashnoo, F., Farhangi, M. A., Hosseini, B., Jafarzadeh, F., Shakarami, A., & Sadabadi, Y. (2023) · BMC Endocrine Disorders · doi:10.1186/s12902-023-01459-3 · Cited by 4
“The homeostatic model of insulin resistance (HOMA-IR) was assessed using the formula fasting insulin (µIU/mL) × fasting blood glucose (mmol/L)/22.5, and quantitative insulin sensitivity index (QUICKI) as 1/ [log fasting insulin (mU/L) + log (fasting plasma glucose (mmol/L) × 18.0182)] [52, 53].”
MethodInfluentialGlasgow, A. C., Heckel, A. R., Cho, W., & Kim, J. Y. (2024) · Obesity Research & Clinical Practice · doi:10.1016/j.orcp.2024.11.001 · Cited by 5
Abou‐El‐Naga, A. M., Mansour, H. A. E., El-Sawi, M. R., El-Dein, M. A., Tag, Y. M., Ghanem, R. A., & Shawki, M. A. (2025) · PLoS ONE · doi:10.1371/journal.pone.0321022 · Cited by 6
“The homeostasis model assessment of IR (HOMA-IR) and insulin sensitivity check index (QUICKI) were calculated by equations described by Katz et al. [18], respectively.”
Bae, J. H., Kim, Y.-E., Jung, K. J., Jee, S. H., & Lee, B. (2025) · Nutrition and Diabetes · doi:10.1038/s41387-025-00364-z · Cited by 5
Grošelj, U., Kafol, J., Šikonja, J., Mlinarič, M., Šket, R., Remec, Ž. I., Kovač, J., Torkar, A. D., Omladič, J. Š., Lampret, B. R., et al. (2025) · American Journal of Preventive Cardiology · doi:10.1016/j.ajpc.2025.101016 · Cited by 4
You, Y., Li, X., Guo, Z., Hong, X., & Yu, Q. (2025) · Gynecological Endocrinology · doi:10.1080/09513590.2025.2537275 · Cited by 4
“The formulas for some variables were as follows [8,12, 19–23]:”
Diet-induced obesity disrupts sexually dimorphic gene expression in mice
Ribas, V., Morón‐Ros, S., Marí, H., Gracia-Batllori, A., Brugnara, L., Herrero-Gómez, A., Eyre, E., Claret, M., Marco‐Rius, I., Novials, A., et al. (2025) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00098.2025 · Cited by 4
Warnier, G., de ten Ryen, S. V. D., Lannoy, C., Mahy, T., Antoine, N., Boyer, E., Kienlen‐Campard, P., Verboven, K., Copine, S., Francaux, M., et al. (2025) · Journal of Extracellular Biology · doi:10.1002/jex2.70087 · Cited by 4
Kamenova, P., Atanasova, I., & Кirilov, G. (2016) · Cited by 4
Chaychenko, T., Argente, J., Spiliotis, B. E., Wabitsch, M., & Marcus, C. (2020) · Hormone Research in Paediatrics · doi:10.1159/000515730 · Cited by 4
Galal, A., El-Bakly, W. M., El-Kilany, S. S., Ali, A. A., & El-Demerdash, E. (2021) · Behavioural Pharmacology · doi:10.1097/fbp.0000000000000656 · Cited by 4
“While quantitative insulin sensitivity check index (QUICKI) was calculated according to Katz et al. (2000), using the formula; QUICKI = 1/[log (FSI in µIU/mL) + log (FSG in mmol/L ×18)].”
MethodRasoolzadeh, E. A., Nazarali, P., & Alizadeh, R. (2021) · Physiology and Pharmacology · doi:10.52547/phypha.26.3.5 · Cited by 4
Insulin resistance parameters in children born very preterm and adequate for gestational age
García, H., Loureiro, C., Helena Poggi, M., D’Apremont, I., Moore, R., Ossa, J. T., Bruera, M. J., Peredo, S., Carvajal, J., Claudia Trincado, G., et al. (2022) · Endocrinology Diabetes & Metabolism · doi:10.1002/edm2.329 · Cited by 4
McGraw, M. B., Kohler, L. N., Shaibi, G. Q., Mandarino, L. J., & Coletta, D. K. (2022) · Frontiers in Pediatrics · doi:10.3389/fped.2022.1020901 · Cited by 4
Sekar, G. (2022) · Bioinformation · doi:10.6026/973206300181098 · Cited by 4
Dashti, F., Alavian, S. M., Sohrabpour, A. A., Mousavi, S. E., Keshavarz, S. A., & Esmaillzadeh, A. (2023) · BMJ Open · doi:10.1136/bmjopen-2022-063988 · Cited by 4
Aishwarya, J., Bobby, Z., Nair, P. P., Sunitha, V. C., Menon, V., & Thalapalliyil, K. (2023) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2023.109326 · Cited by 4
Fernández-Fígares, I., Haro, A., Lachica, M., et al. (2023) · Animals · doi:10.3390/ani13162650 · Cited by 4
“The quantitative insulin sensitivity check index (QUICKI [28]) was estimated following the formula: QUICKI = 1/[Log(I0) + Log(G0)]”
Method
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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