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]
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“In people, insulin resistance can be assessed through several simplified formulas that can be easily calculated from insulin concentration (Katz et al. 2000; Sung et al. 2010).”
BackgroundAnoop, S., Jebasingh, F., Rebekah, G. J., et al. (2020) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2020.08.017 · Cited by 16
Tsaban, G., Meir, A. Y., Zelicha, H., Rinott, E., Kaplan, A., Shaleṿ, A., Katz, A., Brikner, D., Blüher, M., Ceglarek, U., et al. (2021) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgab681 · Cited by 16
Self-citationLuo, P., Cao, Y., Li, P., Wang, G., Song, Z. J., Li, W., Su, Z., Zhou, H., Yi, X., Fu, Z., et al. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2021.772577 · Cited by 16
“Disposition index (DI), calculated by multiplying the GDR by IGI30, was used to evaluate β-cell function (Lee et al., 2017; Lemieux et al., 2019).”
MethodInsulin secretion and action affect glucose variability in the early stages of glucose intolerance
Dimova, R. B., Chakarova, N. Y., Daniele, G., Bianchi, C., Dardano, A., Prato, S. D., & Tankova, T. I. (2022) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.3531 · Cited by 17
Le, T. D., Bui, T. M., Vu, T. H., Nguyen, N. P. T., Tran, T. T. H., Nguyen, S. T., Nguyen, L. H. T., Ngo, M. V., Duong, H. H., Vu, T. B., et al. (2022) · Clinical Medicine Insights Endocrinology and Diabetes · doi:10.1177/11795514221098403 · Cited by 16
Giannouli, A., Efthymiou, V., Konidari, M., Mani, I., Aravantinos, L., Dourakis, S. P., Antoniou, A., Deligeoroglou, E., & Bacopoulou, F. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12020557 · Cited by 17
Ma, M., Jiang, T., Zhen, W., et al. (2023) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s397528 · Cited by 17
“QUICKI was calculated by 1/[log insulin (μIU/mL) + log glucose (mg/dL)].(19) Homeostasis model assessment of beta cell function (HOMA-β) was calculated to assess beta cell function using the formula: HOMA-β = 20 × fasting insulin (μIU/mL) / [fasting plasma glucose (mmol/L) – 3.”
MethodBureš, J., Kohoutová, D., Škrha, J., Bunganič, B., Ngo, O., Suchánek, Š., Škrha, P., & Zavoral, M. (2023) · Cancers · doi:10.3390/cancers15143669 · Cited by 19
Atia, T. A., Abdelzaher, M. H., Nassar, S. A., Gafar, H. H., Husseini, M. A. M., Kaabi, A. M. Y., & Sakr, H. I. (2023) · Medicine · doi:10.1097/md.0000000000036322 · Cited by 16
Zethelius, B., & Cederholm, J. (2015) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2015.09.003 · Cited by 17
“Furthermore, Quicki (33) and log HOMA-IR (identical HR and OR per 1 SD according to formula) had similar risk effect for CVD and diabetes as HOMA-IR (data not given).”
BackgroundMethodInfluentialHioki, C., Yoshida, T., Kogure, A., Yoshimoto, K., & Shimatsu, A. (2010) · The Open Endocrinology Journal · doi:10.2174/1874216501004010003 · Cited by 17
“…body lengths (anal-tonasal distance) were measured daily for indirect computation of body composition via the Lee obesity index ([3 square root body weight (g) / nasoanal length (cm)] 1000) [18, 19] Food intake for each group was monitored by weighing the amount of chow consumed over a 24-h period.”
MethodDietary sucrose intake is related to serum leptin concentration in overweight pregnant women
Vähämiko, S., Isolauri, E., Pesonen, U., Koskinen, P. J., Ekblad, U., & Laitinen, K. (2009) · European Journal of Nutrition · doi:10.1007/s00394-009-0052-8 · Cited by 16
“Insulin sensitivity was determined using the quantitative insulin sensitivity check index (QUICKI), as previously described by Katz and co-workers [25] and insulin resistance by homeostasis model assessment (HOMA), according to Matthews and co-workers [29].”
MethodEarly Pubertal Development and Insulin Sensitivity among School-Aged Girls: Mediation Via Adiposity
Hillman, J. B., Huang, B., Pinney, S. M., & Biro, F. M. (2012) · Journal of Pediatric and Adolescent Gynecology · doi:10.1016/j.jpag.2012.09.007 · Cited by 16
Kabel, A. M., Elmaaboud, M. A. A., & Albarraq, A. A. (2014) · Prostaglandins Leukotrienes and Essential Fatty Acids · doi:10.1016/j.plefa.2014.12.003 · Cited by 16
Eliasson, B., Smith, U., Mullen, S., Cushman, S. W., Sherman, A., & Yang, J. (2014) · Adipocyte · doi:10.4161/adip.34425 · Cited by 16
“QUICKI, an index of insulin sensitivity, was calculated by the equation 1 / [log(I0) C log(G0)]), where I0 is the fasting plasma insulin concentration and G0 is the fasting plasma glucose concentration as previously described.(27)”
BackgroundMethodEvaluation of various insulin sensitivity indices in lean idiopathic hirsutism patients
Uçak, S., Basat, O., Şatır, E., & Altuntaş, Y. (2012) · Endocrine Journal · doi:10.1507/endocrj.ej11-0101 · Cited by 16
Laurila, M., Santaniemi, M., Kesäniemi, Y. A., et al. (2014) · Peptides · doi:10.1016/j.peptides.2014.09.012 · Cited by 16
Mirzaei, K., Hossein‐Nezhad, A., Emamgholipour, S., Ansar, H., Khosrofar, M., Tootee, A., & Alatab, S. (2012) · Lifestyle Genomics · doi:10.1159/000337352 · Cited by 16
HEPATITIS C AND INSULIN RESISTANCE: MUTUAL INTERACTIONS. A REVIEW
Decock, S., Verslype, C., & Fevery, J. (2007) · Acta Clinica Belgica · doi:10.1179/acb.2007.019 · Cited by 14
“Another marker is the QUICKI index, based on the logarithmic transformation: 1/(log fasting insulin [ U/mL]+log fasting glucose [mg/ dL]) (11).”
MethodVirtual Systems Pharmacology (ViSP) software for simulation from mechanistic systems-level models
Ermakov, S., Forster, P., Pagidala, J., Miladinov, M., Wang, A., Baillie, R., Bartlett, D. W., Reed, M., & Leil, T. A. (2014) · Frontiers in Pharmacology · doi:10.3389/fphar.2014.00232 · Cited by 15
Raissouni, N., Kolesnikov, A., Purushothaman, R., SINHA, S. K., Bhandari, S., Bhangoo, A., Malik, S., Mathew, R. P., Baillargeon, J., Hernández, M. I., et al. (2012) · International Journal of Pediatric Endocrinology · doi:10.1186/1687-9856-2012-14 · Cited by 16
“Insulin resistance was estimated by the Homeostasis Model Assessment for Insulin Resistance (HOMA-IR), calculated as [fasting insulin (μU/ml) x fasting glucose (mg/dl)]/405] [26] and insulin sensitivity was estimated by Quantitative Insulin Sensitivity Check Index (QUICKI), calculated as [1/(log fasting insulin μU/ml)…”
MethodCiresi, A., Radellini, S., Guarnotta, V., & Giordano, C. S. D. S. (2016) · Endocrine · doi:10.1007/s12020-016-1076-5 · Cited by 16
“Actually, insulin resistance does not seem to be significantly affected during GHT if evaluated by the Homa index [43], while onlythe use of the QUICKI showed a trend toward reduction in insulin sensitivity in a previous study [46].”
MethodInfluentialGarber, A., Csizmadi, I., Friedenreich, C. M., Sajobi, T. T., Longman, R. S., Tyndall, A. V., Drogos, L. L., Davenport, M. H., & Poulin, M. J. (2017) · Clinical Nutrition · doi:10.1016/j.clnu.2017.07.011 · Cited by 18
Pérez‐Martínez, L., Ochoa‐Callejero, L., Rubio-Mediavilla, S., Narro-Íñiguez, J., Bernardo, I., Oteo, J. A., & Blanco, J. R. (2018) · Translational research · doi:10.1016/j.trsl.2018.01.004 · Cited by 17
do Nascimento, G. A., Leite, N., Alle, L. F., et al. (2018) · Journal of Obesity · doi:10.1155/2018/3134026 · Cited by 16
“5 [22], and the quantitative insulin sensitivity check index (QUICKI) was calculated using the formula 1/(log (fasting insulin) (mU/ml)× log (fasting blood glucose) (mMol/l)) [23].”
MethodOral Phenelzine Treatment Mitigates Metabolic Disturbances in Mice Fed a High-Fat Diet
Mercader, J., Sabater, A. G., Gonidec, S. L., Decaunes, P., Chaplin, A. M. L., Gómez‐Zorita, S., Milagro, F. I., & Carpéné, C. (2019) · Journal of Pharmacology and Experimental Therapeutics · doi:10.1124/jpet.119.259895 · Cited by 16
“8 check index (QUICKI = 1/log glucose (mg·dL) + log insulin (μU·mL) + log nonesterified fatty acids (NEFA, mmol·L) and revised-QUICKI (R-QUICKI = 1/log glucose (mg·dL) + log insulin (μU·mL) + log NEFA (mmol·L), as previously described (Matthews et al., 1985; Katz et al., 2000; Perseghin et al., 2001).”
MethodJochems, S. P., Jacquelin, B., Tchitchek, N., Busato, F., Pichon, F., Huot, N., Liu, Y., Ploquin, M. J.-Y., Roché, E., Cheynier, R., et al. (2020) · Clinical Epigenetics · doi:10.1186/s13148-020-00971-w · Cited by 16
Serbis, A., Giapros, V., Paschou, S. Α., & Siomou, E. C. (2021) · Endocrine · doi:10.1007/s12020-021-02762-6 · Cited by 16
Mahmoudinezhad, M., Farhangi, M. A., Kahroba, H., & Dehghan, P. (2021) · Scientific Reports · doi:10.1038/s41598-021-99077-3 · Cited by 17
Zheng, H. W., Qiu, Z., Chai, T., et al. (2022) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2021.732122 · Cited by 16
Zhang, Z., Liu, Z., Nie, Q., Zhang, X., Yang, L., Wang, C., Yang, L., & Song, G. (2022) · Experimental and Therapeutic Medicine · doi:10.3892/etm.2022.11261 · Cited by 16
“The insulin sensitivity method developed by Katz et al (16) was used, which defined the quantitative insulin sensitivity check index (QUICKI) as 1/[log (I0) + log(G0)], where I0 is the fasting insulin level and G0 is the fasting glucose level.”
Ko, J. M., Park, H. K., Yang, S., Kim, E. Y., Chung, S. C., & Hwang, I. T. (2012) · Endocrine Journal · doi:10.1507/endocrj.ej11-0358 · Cited by 16
“Calculation of insulin sensitivity indices Insulin resistance was calculated from basal fasting glucose and insulin values using the homeostasis model assessment for insulin resistance (HOMA-IR) [15] and the Quantitative Insulin Sensitivity Check Index (QUICKI) [16]: HOMA-IR = (insulin [mU/L] × glucose [mmol/L])/22.”
MethodChowdhury, S. M., Henshaw, M. H., Friedman, B., Saul, J. P., Shirali, G. S., Carter, J., Levitan, B. M., & Hulsey, T. C. (2014) · Journal of the American Society of Echocardiography · doi:10.1016/j.echo.2014.01.007 · Cited by 16
“The quantitative insulin sensitivity check index (QUICKI) was calculated as 1/{log[fasting insulin (mU/mL)] + log [fasting glucose (mg/dL)]}.(19) Insulin level was divided dichotomously as normal (< 20 mIU/mL) or abnormal ($20 mIU/mL).”
MethodParekh, S., Bodicoat, D. H., Brady, E., Webb, D., Mani, H., Mostafa, S., Levy, M. J., Khunti, K., & Davies, M. J. (2014) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2014.02.013 · Cited by 16
Çağlar, G. S., Öztaş, E., Karadağ, D., et al. (2010) · European Journal of Obstetrics & Gynecology and Reproductive Biology · doi:10.1016/j.ejogrb.2010.08.024 · Cited by 16
“5), and quantitative insulin sensitivity check index (QUICK) [16] (1/log insulin + log glycemia in mg/dL) were estimated.”
MethodEvaluation of insulin sensitivity status in polycystic ovarian syndrome
Wilma Delphine Silvia, C. R., Kavya, N., & Sweta, K. (2011) · Asian Pacific Journal of Tropical Disease · doi:10.1016/s2222-1808(11)60017-0 · Cited by 16
Zhou, P., Schechter, C. B., Cai, Z., et al. (2011) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2010.11.034 · Cited by 16
Rajala, U., Päivänsalo, M. J., Laakso, M., et al. (2003) · Journal of Human Hypertension · doi:10.1038/sj.jhh.1001594 · Cited by 16
Telmisartan Improves Cardiometabolic Profile in Obese Patients with Arterial Hypertension
Kubik, M., Chudek, J. T., Adamczak, M., & Więcek, A. (2012) · Kidney & Blood Pressure Research · doi:10.1159/000334951 · Cited by 17
Rajala, U., Laakso, M., Päivänsalo, M. J., et al. (2004) · Journal of Human Hypertension · doi:10.1038/sj.jhh.1001779 · Cited by 16
Lekva, T., Bollerslev, J., Sahraoui, A., Scholz, H., Bøyum, H., Evang, J. A., Godang, K., Aukrust, P., & Ueland, T. (2013) · PLoS ONE · doi:10.1371/journal.pone.0064247 · Cited by 13
“Interleukin 8 (IL-8) in supernatants was measured by EIA from R&D Systems (Minneapolis, MN), homeostasis model assessment index of IR (HOMA-IR) and quantitative insulin sensitivity check index (QUICKI) were estimated based on fasting glucose and insulin [26,27].”
MethodEffect of curative parathyroidectomy on insulin resistance
Putnam, R., Dhibar, D. P., Varshney, S., Behera, A., Mittal, B. R., Bhansali, A., Rao, S. D., & Bhadada, S. K. (2016) · Indian Journal of Endocrinology and Metabolism · doi:10.4103/2230-8210.192916 · Cited by 16
“[18] The reference normal value for HOMA-IR and QUICKI were 2.”
BackgroundMiranda‐Lora, A. L., Cruz, M., Aguirre‐Hernández, J., Molina‐Díaz, M., Padilla‐Gutiérrez, J. R., Flores‐Huerta, S., & Klünder‐Klünder, M. (2017) · Acta Diabetologica · doi:10.1007/s00592-017-0987-9 · Cited by 17
“Finally, insulin sensitivity was obtained with QUICKI (1/[log fasting insulin in lU/ mL] ? [log fasting glucose in mg/dL]) [19].”
MethodKim, K. E., Heo, J. S., Han, S., Kwon, S., Kim, S., Kim, J., Baek, K., & Sheen, Y. H. (2018) · Clinica Chimica Acta · doi:10.1016/j.cca.2018.07.042 · Cited by 15
An association of urinary sodium-potassium ratio with insulin resistance among Korean adults
Park, Y. M., Kwock, C. K., Park, S., Eicher‐Miller, H. A., & Yang, Y. J. (2018) · Nutrition Research and Practice · doi:10.4162/nrp.2018.12.5.443 · Cited by 16
“QUICKI = 1 / {[log fasting insulin (uIU/mL)] + [log fasting glucose (μIU/mL)]} [29].”
Lee, S.-E., Choi, Y., Jun, J. E., Lee, Y., Jin, S., Hur, K. Y., Ko, G. P., & Lee, M. (2019) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2018.0090 · Cited by 16
“Disposition index values were also evaluated [22-24].”
Mahrooz, A., Qujeq, D., Alizadeh, A., & Boorank, R. (2018) · Journal of Research in Medical Sciences · doi:10.4103/jrms.jrms_88_18 · Cited by 16
Kakutani‐Hatayama, M., Kadoya, M., Morimoto, A., Miyoshi, A., Kosaka‐Hamamoto, K., Kusunoki, Y., Shoji, T., & Koyama, H. (2020) · Metabolism Open · doi:10.1016/j.metop.2020.100033 · Cited by 16
“0376 BMI)] [32], Matsuda index 1⁄4 10,000/[sqrt(Glu0 mmol/L IRI0 pmol/L mean PG mmol/L mean IRI pmol/L)] as an index of insulin sensitivity [33], QUICKI 1⁄4 1/(log IRI0 pmol/ L þ log Glu0 mmol/L) [34], and Disposition index 1⁄4 Insulinogenic index QUICKI.”
BackgroundPreoperative Chemerin Level Is Predictive of Inflammatory Status 1 Year After Bariatric Surgery
Jouan, Y., Blasco, H., Bongrani, A., Couet, C., Dupont, J., & Maillot, F. (2020) · Obesity Surgery · doi:10.1007/s11695-020-04584-3 · Cited by 16
“Insulin sensitivity was evaluated using the QUICKI (quantitative insulin sensitivity check index) formula based on insulinemia and fasting glycemia [30].”
MethodEffect of hypoxic exercise on glucose tolerance in healthy and prediabetic adults
Groote, E. D., Britto, F. A., Balan, E., Warnier, G., Thissen, J., Nielens, H., Sylow, L., & Deldicque, L. (2020) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00263.2020 · Cited by 16
Chatree, S., Sitticharoon, C., Maikaew, P., Pongwattanapakin, K., Keadkraichaiwat, I., Churintaraphan, M., Sripong, C., Sririwichitchai, R., & Tapechum, S. (2021) · Scientific Reports · doi:10.1038/s41598-021-81606-9 · Cited by 20
Pei, D., Kuo, S.-W., Wu, D., Lin, T., Hseih, M.-C., Lee, C., Hsu, W.-L., Chen, S.-P., Sheu, W. H., & Jc, L. (2005) · International Journal of Clinical Practice · doi:10.1111/j.1368-5031.2005.00661.x · Cited by 16
Altuntaş, Y., Bilir, M., Ozturk, B., & Gündoğdu, S. (2003) · Fertility and Sterility · doi:10.1016/s0015-0282(03)00497-7 · Cited by 16
A computational model of the human glucose-insulin regulatory system
Shiang, K., & Kandeel, F. (2010) · Journal of Biomedical Research · doi:10.1016/s1674-8301(10)60048-6 · Cited by 17
“Moreover, a worth mentioning index, Quantita - tive Insulin Sensitivity Check Index (QUICKI) [15] , is derived by calculating the inverse of the sum of loga - rithmically expressed values of fasting glucose and fasting insulin: in which G 0 is the fasting glucose level and I 0 is the fasting…”
MethodNonalcoholic fatty liver disease in subjects with adrenal incidentaloma
Papanastasiou, L., Παππά, Θ., Samara, C., Apostolopoulou, G., Tsiavos, V., Markou, Α., Alexandraki, K., Piaditis, G. P., Chrousos, G. P., & Kaltsas, G. (2012) · European Journal of Clinical Investigation · doi:10.1111/j.1365-2362.2012.02707.x · Cited by 17
Bonin‐Guillaume, S., Herrmann, F. R., Boillat, D., Szántó, I., Michel, J.-P., Rohner‐Jeanrenaud, F., & Vischer, U. M. (2006) · Diabetes & Metabolism · doi:10.1016/s1262-3636(07)70274-4 · Cited by 16
Yoshimura, K., Hirano, S., Takata, H., Funakoshi, S., Ohmi, S., Amano, E., Nishi, Y., Inoue, M., Fukuda, Y., Hayashi, H., et al. (2017) · Journal of Diabetes Investigation · doi:10.1111/jdi.12622 · Cited by 16
Dahan, M. H., & Goldstein, J. S. (2006) · Fertility and Sterility · doi:10.1016/j.fertnstert.2006.02.108 · Cited by 16
Woods, M. N., WANKE, C. A., Ling, P., Hendricks, K. M., Tang, A., Andersson, C. E., Dong, K. R., Sheehan, H. M. B., & Bistrian, B. R. (2009) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.2009.27444 · Cited by 16
“QUICKI was determined by using measurements from fasting blood collected at baseline (12).”
BackgroundMethodInfluentialTura, A., Pacini, G., Winhofer, Y., Bozkurt, L., Di Benedetto, G., Morbiducci, U., Roden, M., & Kautzky‐Willer, A. (2012) · Diabetic Medicine · doi:10.1111/j.1464-5491.2011.03477.x · Cited by 15
Bolatimi, O. E., Hua, Y., Ekuban, F. A., Gripshover, T. C., Ekuban, A., Luulay, B., Watson, W. H., Hardesty, J., & Wahlang, B. (2024) · Environment International · doi:10.1016/j.envint.2024.109152 · Cited by 15
“Quantitative insulin sensitivity check index (QUICKI) was also calculated using fasting blood glucose and plasma insulin concentrations (Katz et al., 2000).”
Insulin resistance and coronary microvascular dysfunction: a complex interplay
Magistri, M., Portolan, L., Trevisanello, A., Tosi, F., Locatelli, A., Piana, S., Rubinelli, M., Molinaroli, E., Mantovani, A., Ribichini, F. L., et al. (2026) · Cardiovascular Diabetology · doi:10.1186/s12933-025-03068-x · Cited by 16
Amirkhizi, F., Shahraki, S. H., Hosseinpour-Arjmand, S., & Ebrahimi‐Mameghani, M. (2018) · Iranian Red Crescent Medical Journal · doi:10.5812/ircmj.65925 · Cited by 15
Geidenstam, N., Hsu, Y.-H. H., Astley, C. M., Mercader, J. M., Ridderstråle, M., Gonzalez, M. E., González, C., Hirschhorn, J. N., & Salem, R. M. (2019) · PLoS ONE · doi:10.1371/journal.pone.0222445 · Cited by 16
Izumo, W., Higuchi, R., Yazawa, T., Uemura, S., Shiihara, M., & Yamamoto, M. (2020) · Pancreatology · doi:10.1016/j.pan.2020.08.005 · Cited by 15
Yao, J., Fan, S., Shi, X., Gong, X., Zhao, J. W., & Fan, G. (2021) · PLoS ONE · doi:10.1371/journal.pone.0253492 · Cited by 16
Jamka, M., Morawska, A., Krzyżanowska-Jankowska, P., et al. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18168540 · Cited by 15
“Besides, glucose, insulin levels, homeostatic model assessment for insulin resistance (HOMA-IR) and quantitative insulin sensitivity check index (QUICKI) were also measured.”
MethodEbrahimi-Mousavi, S., Alavian, S. M., Sohrabpour, A. A., Dashti, F., Djafarian, K., & Esmaillzadeh, A. (2022) · BMC Gastroenterology · doi:10.1186/s12876-022-02176-2 · Cited by 17
“Glucose homeostasis assessment Homeostatic Model Assessment of Insulin Resistance (HOMA) and Quantitative Insulin Sensitivity Check Index (QUICKI) will be calculated based on suggested formulas [33, 34]”
MethodSabaratnam, R., Skov, V., Paulsen, S. K., Petersson, S. J., Kruse, R., Hansen, T. T., Halkier, C., Kristensen, J. M., Vind, B. F., Richelsen, B., et al. (2022) · Cells · doi:10.3390/cells11132005 · Cited by 15
Zhang, D., Zhong, X., Cheng, C., Su, Z., Xue, Y., Liu, Y., Zhang, Y., Feng, M., Xu, Z., Zhao, T., et al. (2022) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.2c05469 · Cited by 17
Stein, R., Koutny, F., Riedel, J., Dörr, N., Meyer, K., Colombo, M., Vogel, M., Anderwald, C. H., Blüher, M., Kieß, W., et al. (2023) · Metabolites · doi:10.3390/metabo13010100 · Cited by 17
“Thus, less time-consuming and simpler approaches, such as the quantitative insulin sensitivity check index (QUICKI), or its reciprocal, the QUICKI-IR [14], as well as the homeostatic model assessment of insulin resistance (HOMA-IR) [15], have been developed.”
MethodGriffen, C., Cullen, T., Hattersley, J. G., Weickert, M. O., Dallaway, A., Duncan, M. J., & Renshaw, D. W. (2024) · Experimental Gerontology · doi:10.1016/j.exger.2024.112477 · Cited by 16
“Using conventional formulae, insulin concentration and fasting plasma glucose were used to determine insulin resistance (homeostatic model assessment of insulin resistance; HOMA-IR) and insulin sensitivity (quantitative insulin sensitivity check index; QUICKI) (Katz et al., 2000; Matthews et al., 1985).”
InfluentialCEFALO, C. M. A., Riccio, A., Fiorentino, T. V., Succurro, E., Perticone, M., Sciacqua, A., Andreozzi, F., & Sesti, G. (2024) · European Journal of Internal Medicine · doi:10.1016/j.ejim.2024.09.008 · Cited by 16
Jelínek, D., Castillo, J., & Garver, W. S. (2013) · Gene · doi:10.1016/j.gene.2013.05.080 · Cited by 15
Ho, J. H., Lee, O. K., Fu, Y.-J., Shih, H.-T., Tseng, C.-Y., Chung, C., Han, C., & Chen, Y. (2013) · Journal of Proteome Research · doi:10.1021/pr300662j · Cited by 15
Jin, C., O'Boyle, S., Kleven, D. T., Pollock, J. S., Pollock, D. M., & White, J. J. (2014) · Clinical and Experimental Pharmacology and Physiology · doi:10.1111/1440-1681.12250 · Cited by 15
“Insulin sensitivity was calculated by quantitative insulin sensitivity check index (QUICKI) models.(63)”
MethodEL-Mesallamy, H. O., El-Razek, R. S. A., & El‐Refaie, T. A. (2013) · European Journal of Obstetrics & Gynecology and Reproductive Biology · doi:10.1016/j.ejogrb.2013.01.015 · Cited by 15
“The quantitative insulin sensitivity check index (QUICKI) was calculated using the following equation: 1/log FI (uIU/ml) + log FBG (mg/dl) [24].”
MethodOh, T. J., Jung, H. S., Bae, J. H., Kim, Y. G., Park, K. S., Cho, Y. M., Park, K. S., & Kim, S. Y. (2013) · Journal of Korean Medical Science · doi:10.3346/jkms.2013.28.6.881 · Cited by 15
“Our analysis using HOMA-IR and QUICKI did not suggest any relations between insulin resistance and DPP4i efficacy (Tables 2, 4).”
MethodInfluentialGlucagon secretion after metabolic surgery in diabetic rodents
Eickhoff, H., Louro, T. M., Matafome, P. N., Seiça, R. M. F., & Sousa, F. C. E. (2014) · Journal of Endocrinology · doi:10.1530/joe-14-0445 · Cited by 15
The prevalence of glucose metabolism abnormalities in Greek women with polycystic ovary syndrome
Trakakis, E., Basios, G., Peppa, Μ., Simeonidis, G., Labos, G., Creatsa, M. G., Misailidou, M., Boutati, E. I., Vaggopoulos, V., Παναγόπουλος, Π., et al. (2012) · Gynecological Endocrinology · doi:10.3109/09513590.2012.683058 · Cited by 15
“Our study revealed that HOMA-IR, QUICKI and MATSUDA are sensitive in describing the IR changes and whole-body insulin sensitivity in the age, BMI and waist circumference subgroups, results that are in agreement with other studies using QUICKI in patients with t2DM [26,27].”
ResultChoi, S.-I., Lee, H. A., & Han, J.-S. (2016) · Nutrition Research and Practice · doi:10.4162/nrp.2016.10.5.507 · Cited by 15
“QUICKI is an index of insulin sensitivity, with values that decrease with increasing insulin resistance [36].”
BackgroundRetractedRannelli, L., MacRae, J. M., Mann, M. C., Ramesh, S., Hemmelgarn, B. R., Rabi, D. M., Sola, D. Y., & Ahmed, S. B. (2016) · Canadian Journal of Physiology and Pharmacology · doi:10.1139/cjpp-2016-0122 · Cited by 15
Espiau, M., Yeste, D., Noguera‐Julián, A., Soler‐Palacín, P., Fortuny, C., Ferrer, R., Comas, I., Martín‐Nalda, A., Deyà‐Martínez, À., Figueras, C., et al. (2016) · The Pediatric Infectious Disease Journal · doi:10.1097/inf.0000000000001394 · Cited by 14
Pediatric Visceral Adiposity Index Adaptation Correlates with Homa-Ir, Matsuda, and Transaminases
Hernández, M. I. A. E. E. S., Klünder‐Klünder, M., Garibay-Nieto, N., Alvarenga, J. C. L., Vilchis‐Gil, J., Huerta, S. F., Siccha, R. E., & Hernández-Ruiz, J. (2018) · Endocrine Practice · doi:10.4158/ep-2017-0086 · Cited by 15
Circulating microRNA-155 is associated with insulin resistance in chronic hepatitis C patients
Samaloty, N. M. E., Hassan, Z. A., Hefny, Z. M., et al. (2019) · Arab Journal of Gastroenterology · doi:10.1016/j.ajg.2019.01.011 · Cited by 14
Płaczkowska, S., Pawlik-Sobecka, L., Kokot, I., et al. (2019) · Annals of Agricultural and Environmental Medicine · doi:10.26444/aaem/109225 · Cited by 15
Yeste, D., Clemente, M., Campos-Martorell, A., Fábregas, A., Mogas, E., Soler, L., & Carrascosa, A. (2020) · Anales de Pediatría · doi:10.1016/j.anpedi.2020.04.004 · Cited by 19
Ho, C., Chang, P., Chen, H.-W., Lee, P.-F., Chang, Y.-C., Tseng, C.-Y., & Lin, P. (2020) · Antioxidants · doi:10.3390/antiox9090823 · Cited by 16
“5; and QUICKI (quantitative insulin sensitivity check index) = 1/[log insulin (μU/mL) + log glucose (mg/dL)] [16,17].”
BackgroundOlaniyi, K. S., Badejogbin, O. C., Saliu, S. B., & Olatunji, L. A. (2021) · Biochimie · doi:10.1016/j.biochi.2021.02.004 · Cited by 16
Tavakoli‐Rouzbehani, O. M., Abbasnezhad, M., Kheirouri, S., et al. (2021) · Phytotherapy Research · doi:10.1002/ptr.7115 · Cited by 15
“The QUICKI was calculated by formula as an index of insulin sensitivity obtained from FBS (Katz et al., 2000).”
MethodAzizian, H., Khaksari, M., Asadikaram, G., et al. (2021) · Biomedical Journal · doi:10.1016/j.bj.2020.03.002 · Cited by 15
“[17] Katz A, Nambi SS, Mather K, Baron AD, Follmann DA, Sullivan G, et al.”
BackgroundMethodFarkas, G. J., Gordon, P., Trewick, N., Gorgey, A. S., Dolbow, D. R., Tiozzo, E., Berg, A. S., & Gater, D. R. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10235591 · Cited by 16
“[17] reported QUICKI was significantly associated to Si of the IVGTT over a range of normal and abnormal insulin sensitivities in nondisabled persons with and without T2DM.”
BackgroundMethodInfluential
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
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