The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index; 3 of the 17 sources its claims cite were checked for support.
Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans
Abstract
Insulin resistance plays an important role in the pathophysiology of diabetes and is associated with obesity and other cardiovascular risk factors. The "gold standard" glucose clamp and minimal model analysis are two established methods for determining insulin sensitivity in vivo, but neither is easily implemented in large studies. Thus, it is of interest to develop a simple, accurate method for assessing insulin sensitivity that is useful for clinical investigations. We performed both hyperinsulinemic isoglycemic glucose clamp and insulin-modified frequently sampled iv glucose tolerance tests on 28 nonobese, 13 obese, and 15 type 2 diabetic subjects. We obtained correlations between indexes of insulin sensitivity from glucose clamp studies (SI(Clamp)) and minimal model analysis (SI(MM)) that were comparable to previous reports (r = 0.57). We performed a sensitivity analysis on our data and discovered that physiological steady state values [i.e. fasting insulin (I(0)) and glucose (G(0))] contain critical information about insulin sensitivity. We defined a quantitative insulin sensitivity check index (QUICKI = 1/[log(I(0)) + log(G(0))]) that has substantially better correlation with SI(Clamp) (r = 0.78) than the correlation we observed between SI(MM) and SI(Clamp). Moreover, we observed a comparable overall correlation between QUICKI and SI(Clamp) in a totally independent group of 21 obese and 14 nonobese subjects from another institution. We conclude that QUICKI is an index of insulin sensitivity obtained from a fasting blood sample that may be useful for clinical research.
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The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“A well accepted alternative for estimating insulin sensitivity involves minimal model analysis of a frequently sampled iv glucose tolerance test (FSIVGTT) (9 -11).”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > I NSULIN IS
What the sources say
- Supportedcites [9] Bergman, 1987, Equivalence of the insulin sensitivity index in man derived by the minimal model method and the euglycemic glucose clamp., J Clin Invest source
The Introduction describes minimal-model analysis of a frequently sampled intravenous glucose tolerance test as an alternative to the glucose clamp. The Discussion reports that it yielded an equivalent measure of insulin sensitivity in the study, while noting that wider validation would be needed before recommending general use. (LLM, conf=0.90)
- Not checked — no full text of the sourcecites [10] 1989, Lilly lecture 1989. Toward physiological understanding of glucose tolerance. Minimal-model approach., Diabetes source
- Not checked — no full text of the sourcecites [11] Saad, 1997, Differences between the tolbutamide-boosted and the insulin-modified minimal model protocols., Diabetes source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Supported
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Moreover, we observed a comparable overall correlation between QUICKI and SI Clamp in a totally independent group of 21 obese and 14 nonobese subjects from another institution.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Thus, as expected, the obese and diabetic subjects were significantly more insulin resistant than the nonobese subjects (P Ͻ 2 ϫ 10 Ϫ5 ).”
- Also stated in: § Glucose clamp and minimal model estimates of insulin sensitivity · plain
“As expected, when subjects were evaluated with the gold standard glucose clamp method, obese subjects were more insulin resistant, on the average, than nonobese subjects, and diabetics were the most insulin-resistant group.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Glucose clamp studies
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Also stated in: § Glucose clamp and minimal model estimates of insulin sensitivity · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We performed a sensitivity analysis on our data and discovered that physiological steady state values [i.e.fasting insulin (I 0 ) and glucose (G 0 )] contain critical information about insulin sensitivity.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In addition, the linear regression analysis of the subgroups corresponded more closely to the overall regression line when comparing QUICKI and SI Clamp .”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > QUICKI
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesThe paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“In addition, QUICKI derived from the average results of two fasting blood samples (over 10 min) was similar to QUICKI calculated from a single sample.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > QUICKI
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Interestingly, we found that the product of fasting insulin and glucose yielded an index of insulin sensitivity that was applicable to both dia-betic and nondiabetic subjects.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > QUICKI
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The basal glucose levels in the diabetic group were significantly elevated compared with those in the other groups (166 Ϯ 15 mg/dL; P Ͻ 4 ϫ 10 Ϫ5 ).”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Insulin-modified FSIVGTT studies
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Note that in contrast to the minimal model-derived SI MM , we were able to calculate meaningful values of QUICKI for all diabetic subjects studied.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Correlations between indexes of insulin sensitivity
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“QUICKI was calculated for all study subjects (mean, 0.382 Ϯ 0.007, 0.331 Ϯ 0.010, and 0.304 Ϯ 0.007 for nonobese, obese, and diabetic subjects, respectively).”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > QUICKI
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes
- Probably not a substantial claim. 6
- It may state two separate claims as one. 15
- The quote only partly states this claim. 2
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“Alternatively, periodic oscillations in insulin secretion (both ultradian and 10-to 15-min periods) have been reported in healthy subjects and may also contribute to the weaker correlation in this subgroup (21,22).”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > QUICKI
What the sources say
- Not checked — no full text of the sourcecites [21] Polonsky, 1998, Temporal profiles and clinical significance of pulsatile insulin secretion., Horm Res source
- Supportedcites [22] Polonsky, 1988, Twenty-four-hour profiles and pulsatile patterns of insulin secretion in normal and obese subjects., J Clin Invest source
The Discussion ('O Normal') describes rapid insulin pulsations in the 10–14-minute range and slower ultradian oscillations of 1–3 hours. It presents the slower oscillations in normal subjects as a finding of this study and reports the rapid pulsations from earlier studies, supporting the claim that both have been reported in healthy subjects. (LLM, conf=0.93)
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Alternatively, periodic oscillations in insulin secretion (both ultradian and 10-to 15-min periods) have been reported in healthy subjects and may also contribute to the weaker correlation in this subgroup (21,22).”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > QUICKI
What the sources say
- Not checked — no full text of the sourcecites [21] Polonsky, 1998, Temporal profiles and clinical significance of pulsatile insulin secretion., Horm Res source
- Partly supportedcites [22] Polonsky, 1988, Twenty-four-hour profiles and pulsatile patterns of insulin secretion in normal and obese subjects., J Clin Invest sourceExperimental — accuracy not yet measured
The discussion (section “O Normal”; page not provided) reports ultradian insulin-secretion oscillations in normal subjects and describes rapid 10–14-minute pulsations. It does not examine QUICKI, clamp-derived insulin sensitivity, or whether oscillations weaken the correlation between them in a nonobese subgroup. (LLM, conf=0.86)
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We obtained correlations between indexes of insulin sensitivity from glucose clamp studies (SI Clamp ) and minimal model analysis (SI MM ) that were com-parable to previous reports (r ϭ 0.57).”
- Also stated in: § Correlations between indexes of insulin sensitivity · plain
“The overall correlation coefficient (r) calculated from a linear least squares regression was 0.57 (P Ͻ 2 ϫ 10 Ϫ5 ).”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Abstract
Tests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Also stated in: § Correlations between indexes of insulin sensitivity · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, linear regression analysis for the subgroups revealed that the regression line for the diabetic and obese subgroups had a very different slope than that for the nonobese group.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Correlations between indexes of insulin sensitivity
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesThe quote only partly states this claim.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“When correlations between QUICKI and SI Clamp were calculated for each group separately, we found that r ϭ 0.49 for nonobese subjects (P Ͻ 0.01), r ϭ 0.89 for obese subjects (P Ͻ 2 ϫ 10 Ϫ5 ), and r ϭ 0.7 for diabetic subjects (P Ͻ 4 ϫ 10 Ϫ3 ).”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Correlations between indexes of insulin sensitivity
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Reassuringly, in these independent studies, we found that the overall correlation between QUICKI and SI Clamp was similar to that in our original analysis (r ϭ 0.77; P Ͻ 2 ϫ 10 Ϫ11 ).”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Correlations between indexes of insulin sensitivity
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesThe quote only partly states this claim.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Both obese and diabetic subjects had significantly greater BMIs and fasting insulin levels than the nonobese subjects (P Ͻ 6 ϫ 10 Ϫ6 ), consistent with the presence of obesity and insulin resistance.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Study subjects
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This analysis yielded r ϭ 0.74 for obese subjects (n ϭ 21) and r ϭ 0.91 for nonobese subjects (n ϭ 14), with an overall correlation coefficient of r ϭ 0.90 (n ϭ 35).”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Correlations between indexes of insulin sensitivity
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, the correlation coefficient for the nonobese subgroup was 0.49, and the greatest variability in the correlation between QUICKI and SI Clamp was observed among the most insulin-sensitive subjects.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > QUICKI
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“As expected, the fasting glucose levels for both nonobese and obese groups were normal, whereas the diabetic group had elevated levels.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Study subjects
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Similar to our results from glucose clamp studies (and in contrast to minimal model results), insulin sensitivity as assessed by QUICKI was highest in the nonobese group, intermediate in the obese group, and lowest in the diabetic group.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > QUICKI
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Insulin resistance plays an important role in the pathophysiology of diabetes and is associated with obesity and other cardiovascular risk factors.”
- Also stated in: § I NSULIN IS · plain
“plays an important pathophysiological role in diabetes (1,2).”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Abstract
What the sources say
- Not matchedcites [1] 1988, Lilly lecture 1987. The triumvirate: β-cell, muscle, liver. A collusion responsible for NIDDM., Diabetes
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Not checked — no full text of the sourcecites [2] DeFronzo, 1992, Pathogenesis of NIDDM. A balanced overview., Diabetes Care source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
- Also stated in: § I NSULIN IS · plain
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Steady state conditions were generally achieved about 2 h after the initiation of each study and were maintained for at least 60 min.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Glucose clamp studies
Load-bearingStrength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The overall correlation we obtained between SI Clamp and SI MM was comparable to previous reports whose study subjects included diabetics, suggesting that our studies were technically adequate.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Glucose clamp and minimal model estimates of insulin sensitivity
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Furthermore, QUICKI provides a reproducible and robust estimate of insulin sensitivity, because equally strong correlations with SI Clamp were obtained when fasting data from either the glucose clamp or FSIVGTT studies were used to calculate QUICKI.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > QUICKI
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, this effect is unlikely to be occurring in our studies, because fasting samples were obtained at the same time in the morning for each subject, and calculating QUICKI from the average of several blood samples (instead of a single sample) did not significantly affect our correlations.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > QUICKI
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, in analyzing an independent dataset, we observed very similar correlations between QUICKI and SI Clamp , strongly suggesting that QUICKI is a robust index of insulin sensitivity.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Relative merits of QUICKI
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“The inability of the minimal model to identify meaningful values for SI MM in a large fraction of our diabetic subjects is consistent with the experience of others and is most likely related to well described difficulties in estimating SI MM under conditions of inadequate insulin secretion (12).”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Glucose clamp and minimal model estimates of insulin sensitivity
What the sources say
- Not checked — no full text of the sourcecites [12] Saad, 1994, A comparison between the minimal model and the glucose clamp in the assessment of insulin sensitivity across the spectrum of glucose tolerance. Insulin Resistance Atherosclerosis Study., Diabetes source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Studies in the same subject were performed at least 1 week apart, and the order of the studies was randomized.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Subjects and Methods
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We conclude that QUICKI is an index of insulin sensitivity obtained from a fasting blood sample that may be useful for clinical research.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“QUICKI is a novel, simple, accurate, and reproducible method for determining insulin sensitivity in humans that may be a useful tool in large epidemiological investigations that study the role of insulin resistance in the pathophysiology of important public health problems such as obesity, cardiovascular diseases, and diabetes.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Relative merits of QUICKI
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Potential limitations to QUICKI include difficulty in applying it to subjects with type 1 diabetes who lack endogenous insulin secretion.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Relative merits of QUICKI
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
The paper relies on this without support.
The glucose clamp is the gold standard method for directly measuring insulin sensitivity in vivo.
“Although the glucose clamp is considered to be the gold standard method for directly measuring insulin sensitivity in vivo, it can be implemented in a number of different ways.”
The paper relies on this without support.
The distribution of fasting insulin values is skewed.
“One rational for these transformations is the fact that the distribution of fasting insulin values is skewed.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“A recent placebo-controlled trial of ursodiol in NASH found that a proportion of patients receiving placebo had decreases in steatosis, but that improvements in inflammation and cell injury were uncommon.30”
From A pilot study of pioglitazone treatment for nonalcoholic steatohepatitis (2004) · cites this paper as [30]
In the citing paper
“ndirect estimates of insulin resistance, such as HOMA-IR 63 and QUICKI, 64 are derived from fasting S-insulin and glucose concentrations and have been widely used in both nondiabetic and type 2 diabetic subjects as surrogates of insulin sensitivity.65,66”
From Increased liver fat, impaired insulin clearance, and hepatic and adipose tissue insulin resistance in type 2 diabetes. (2008) · cites this paper as [64]
Citations
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Quantifying Obesity in Economic Research: How Misleading is the Body Mass Index?Preprint
Parks, J. C., Smith, A. D., & Alston, J. M. (2010) · RePEc: Research Papers in Economics · doi:10.22004/ag.econ.61841 · Cited by 7
Insulin Resistance After Renal Transplantation
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Circulating asprosin concentrations in individuals with new-onset type 2 diabetes and prediabetes
Diao, H., Fan, X., Li, Z., Hou, L., Dong, Z., & Pang, S. (2024) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2024.111730 · Cited by 6
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“…insulin ( IU ) ×Fasting glucose ( mg ) mL dL 405 (Matthews et al., 1985) QUICKI: 1 Log fasting insulin ( IU ) +Log fasting glucose ( mg ) mL dL (Katz et al., 2000) The serum insulin concentrations were measured us-ing a radioimmunoassay (ADVIA Centaur), whereas FBG levels were analyzed…”
Role of Retinol-Binding Protein 4 in Obese Asian Indians with Metabolic Syndrome
Shivakumar, N., Kumar, M. J., Aswathanarayan, M. N., et al. (2011) · Journal of Medical Biochemistry · doi:10.2478/v10011-011-0032-4 · Cited by 6
“5] (18) and the Quan titative insulin sensitivity check index [QUICKI =1/[log (fas ting insulin (mU/L) + log (fasting glucose (mg/dL)] (19) were calculated.”
Dimitroulas, T., Hodson, J. A., Sandoo, A., Smith, J., Douglas, K., & Kitas, G. D. (2015) · Mediators of Inflammation · doi:10.1155/2015/796562 · Cited by 6
“Insulin resistance was determined by using the Homeostasis Model Assessment Insulin Resistance (HOMA-IR) andQuantitative Insulin Sensitivity Check Index (QUICKI), as previously described [21, 22].”
MethodWu, Q., Liang, X., Hou, X., et al. (2022) · PNAS Nexus · doi:10.1093/pnasnexus/pgac306 · Cited by 6
“Insulin resistance was assessed via HOMA-IR and QUICKI as described earlier (71, 72).”
MethodJeon, S., Lee, J., Shin, Y., & Yoon, M. (2023) · Canadian Journal of Physiology and Pharmacology · doi:10.1139/cjpp-2022-0339 · Cited by 7
Nagagata, B. A., Ajackson, M., Ornellas, F., Mandarim‐de‐Lacerda, C. A., & Águila, M. B. (2023) · Journal of Developmental Origins of Health and Disease · doi:10.1017/s2040174423000168 · Cited by 6
Lunesu, M. F., Atzori, A. S., Manca, C., et al. (2023) · Journal of Dairy Science · doi:10.3168/jds.2023-23225 · Cited by 6
Al-Busaidi, A., Alabri, O., Alomairi, J., Elsharaawy, A., Lawati, A. A., Lawati, H. A., & Das, S. (2024) · Current Diabetes Reviews · doi:10.2174/0115733998281910231231051814 · Cited by 7
Brazil nut consumption reduces DNA damage in overweight type 2 diabetes mellitus patients
Macan, T. P., Magenis, M. L., Damiani, A. P., Monteiro, I. D. O., Silveira, G. D. B., Zaccaron, R. P., Silveira, P. C. L., Teixeira, J. P., Gajski, G., & de Andrade, V. M. (2024) · Mutation Research/Genetic Toxicology and Environmental Mutagenesis · doi:10.1016/j.mrgentox.2024.503739 · Cited by 6
Shepherd, A. I., James, T. J., Gould, A. A. M., Mayes, H. S., Neal, R., Shute, J. K., Tipton, M., Massey, H. C., SAYNOR, Z. L., Perissiou, M., et al. (2024) · The Journal of Physiology · doi:10.1113/jp285322 · Cited by 6
“Fasting blood samples were taken for the measurement of plasma [glucose] and [insulin], with these data being used to calculate fasting insulin sensitivity via the quantitative insulin sensitivity check index (Katz et al., 2000).”
HOMA-IR as a Predictor of PAI-1 Levels in Women with Severe Obesity
Kattah, F. M., Janjusevic, M., Figueiredo, N., Oliveira, E. S., Lima, G. C., Dâmaso, A. R., Oyama, L. M., Fluca, A. L., de Melo, P. R. E., Horst, M. A., et al. (2024) · Biomedicines · doi:10.3390/biomedicines12061222 · Cited by 6
“The homeostasis model assessment-beta (HOMA-beta) and QUICKI were calculated from blood glucose and insulin values as reported in the literature [16,17].”
MethodThe undervalued league of insulin resistance testing: uncovering their importance
Rani, K., Patil, P. P., Bharti, P. S., et al. (2024) · Hormone Molecular Biology and Clinical Investigation · doi:10.1515/hmbci-2023-0061 · Cited by 6
Ramessur, V., Hunma, S., Joonas, N., Ramessur, B. N., Schütz, Y., Montani, J., & Dulloo, A. G. (2025) · Obesity Facts · doi:10.1159/000543332 · Cited by 8
“The Quantitative Insulin Sensitivity Check Index (QUICKI) was also used to calculate insulin sensitivity [42].”
KAHL, S., Nowotny, B., Straßburger, K., Bierwagen, A., Klüppelholz, B., Hoffmann, B. H., Giani, G., Nowotny, P., Wallscheid, F., Hatziagelaki, E. E., et al. (2017) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2017-01773 · Cited by 6
Bouziana, S. D., Τζιόμαλος, Κ., Goulas, A., Vyzantiadis, T., Papadopoulou, M., Panderi, A., & Hatzitolios, A. I. (2019) · International Journal of Neuroscience · doi:10.1080/00207454.2019.1596906 · Cited by 6
Antidiabetic Effects of Bisamide Derivative of Dicarboxylic Acid in Metabolic Disorders
Pakhomova, A. V., Nebolsin, V. E., Pershina, О. V., Krupin, V. A., Sandrikina, L. A., Pan, E. S., Ermakova, N. N., Ваизова, О. Е., Widera, D., Grimm, W., et al. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21030991 · Cited by 6
“Tissue insulin sensitivity was determined by Quantitative Insulin Sensitivity Check Index (QUICKI) (Figure 3C) [20].”
MethodInfluentialHyun, J., Park, M. H., Lee, Y. H., Lee, Y., Jeong, S. J., Choi, S. S., Khim, K. W., Eom, H. J., Hur, J., Park, C. Y., et al. (2021) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2021.114238 · Cited by 6
Šebeková, K., Gurecká, R., Csongová, M., Koborová, I., Repiská, G., & Podracká, Ľ. (2022) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2022.109217 · Cited by 7
Hare, K. S., Penner, G. B., Steele, M. A., & Wood, K. M. (2022) · Journal of Animal Science · doi:10.1093/jas/skac101 · Cited by 8
Fu, C., Oczypok, E. A., Ali, H., DeLany, J. P., Reeves, V. L., Chang, R., & Kershaw, E. E. (2022) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2022.04.006 · Cited by 7
Łagowska, K., & Kapczuk, K. (2022) · Women & Health · doi:10.1080/03630242.2022.2072048 · Cited by 7
“…resistance (HOMA-IR), the homeostatic model assessment of beta cell function (HOMA-β), and the quantitative insulin sensitivity check index (QUICKI) were calculated as in previous studies (Avignon et al. 1999; Bastard et al. 2007; Katz et al. 2000; Matthews et al. 1985; Stumvoll et al. 2000).”
MethodRocha, L. V., Macdonald, I. A., Alssema, M., & Færch, K. (2022) · Nutrients · doi:10.3390/nu14102036 · Cited by 8
“QUICKI is calculated from fasting glucose and insulin concentrations and is mathematically equivalent to the inverse of the logarithm of HOMA‐IR plus a constant [15].”
MethodYuzbashian, E., Zani, S. C. D. C., Zarkash, M., et al. (2022) · Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity · doi:10.1007/s40519-022-01476-6 · Cited by 6
“The quantitative insulin-sensitivity check index (QUICKI) was calculated based on the formula proposed by Katz et al.[13]: 1/[log(fasting insulin in μU/ ml) + log(fasting glucose in mg/dl)].”
MethodPopescu, M. S., Drocaș, A. I., Osman, A., Firu, D.-M., Pădureanu, V., Mărginean, C. M., Pîrvu, D.-C., Mitruţ, R., Mărgăritescu, D. N., Radu, A., et al. (2022) · Reports — Medical Cases Images and Videos · doi:10.3390/reports5040042 · Cited by 6
“For IR examination, a 12-h overnight fast is necessary [5].”
Seifollahi, A., fazl, M. R., Setayesh, L., Javanbakht, M. H., Daneshpazhooh, M., Shab‐Bidar, S., & Yaseri, M. (2022) · Clinical Nutrition Research · doi:10.7762/cnr.2022.11.4.289 · Cited by 6
“Moreover, insulin sensitivity was calculated by the following formulas according to quantitative insulin sensitivity check index (QUICKI = 1/(log(fasting insulin, μU/mL) + log(fasting glucose, mg/ dL)) [32], and homeostatic model assessment for insulin resistance (HOMA-IR = (fasting insulin, μm/mL) + (fasting glucose,…”
MethodMasquio, D. C. L., Campos, R. M. D. S., Netto, B. D. M., de Carvalho‐Ferreira, J. P., Júnior, C. R. B., Alouan, S., Poletto, G. T., de Piano, A., Tufik, S., de Mello, M. T., et al. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20237114 · Cited by 6
“The assessment of insulin sensitivity was obtained using the quantitative insulin sensitivity check index (QUICKI) [26], described by the equation 1/[log fasting insulin ( µ U/mL) + log fasting glucose (mg/dL)].”
MethodBahijri, S., Eldakhakhny, B. M., Enani, S. M., Ajabnoor, G., Al-Mowallad, A. S., Alsheikh, L., Alhozali, A. M., Alamoudi, A. A., Borai, A., & Tuomilehto, J. O. (2023) · Cureus · doi:10.7759/cureus.50524 · Cited by 6
“The QUICKI was calculated using the following formula: (1/log (fasting insulin) + log (fasting blood glucose) [29].”
MethodFernández-Cardero, Á., Sierra-Cinos, J. L., López-Jiménez, A., Cuadrado, C., de Miguel, B. B., García‐Conesa, M., Bravo, L., & Sarriá, B. (2024) · Nutrients · doi:10.3390/nu16081143 · Cited by 6
“…were adequate according to the reference limits, but glycosylated haemoglobin (HbA1c) was higher than recommended (<5.7) in both sexes and could be indicative of predisposition to prediabetes, although the QUICKI values were comparable to those reported by Katz et al. [23] in obese subjects.”
MethodResultInfluentialReis‐Barbosa, P. H., & Mandarim‐de‐Lacerda, C. A. (2024) · Fundamental and Clinical Pharmacology · doi:10.1111/fcp.13024 · Cited by 6
Metabolically healthy obesity in adults with X-linked hypophosphatemia
Lecoq, A.-L., Schilbach, K., Rocher, L., Trabado, S., Briot, K., Herrou, J., Forbes, A., Garnier, A., Piketty, M., Bidlingmaier, M., et al. (2024) · European Journal of Endocrinology · doi:10.1093/ejendo/lvae089 · Cited by 6
Markers of insulin resistance in a case of Launois-Bensaude syndrome.
Cojocaru, D.-C., Cozma, C. D., & Postolache, P. A. (2013) · The Medical-Surgical Journal · Cited by 6
Chu, M. P., Klopfenstein, B. J., Krisky, C. M., Urbanski, H. F., Rooney, W. D., Kohama, S. G., & Purnell, J. Q. (2013) · Obesity · doi:10.1002/oby.20339 · Cited by 6
“Nineteen female Rhesus macaques (Macaca mulatta) maintained at the Oregon National Primate Research Center (ONPRC) with a mean (range) age of 25 (23-30) years were included in this study.”
MethodVolp, A. C. P., Hermsdorff, H. H. M., & Bressan, J. (2008) · Journal of Physiology and Biochemistry · doi:10.1007/bf03168238 · Cited by 6
“En el estudio participaron mujeres con normopeso [grupo G1, n=6, IMC= 21,4 (20,2-22,8) kg/m 2 ] y con sobrepeso/obesidad [grupo G2, n=6, BMI 28,6 (25, 1-32 ,1) kg/m 2 ]. Las dietas DRS (59% de hidratos de carbono con 23% de sacarosa, 28% en lipidos) y DRL (42% hidratos de carbono con 1,3% en sacarosa, 45% lipidos) se…”
BackgroundMethodJaved, A., Kumar, S., Simmons, P. S., & Lteif, A. N. (2015) · Hormone Research in Paediatrics · doi:10.1159/000435883 · Cited by 6
Aquaglyceroporin-7 Overexpression in Women with the Polycystic Ovary Syndrome
Seow, K., Lin, Y., Wang, P., Hwang, J., Ho, L., & Juan, C. (2012) · Gynecologic and Obstetric Investigation · doi:10.1159/000345069 · Cited by 6
Elbert, A. E., Schreier, L. E., Galli, C., et al. (2006) · Journal of Renal Nutrition · doi:10.1053/j.jrn.2006.04.023 · Cited by 6
Resistencia a la insulina, obesidad y síndrome metabólico en el síndrome del ovario poliquístico
Gambineri, A., & Pasquali, R. (2006) · Endocrinología y Nutrición · doi:10.1016/s1575-0922(06)71168-8 · Cited by 6
Validating a Dimensionless Number for Glucose Homeostasis in Humans
Klinke, D. J. (2009) · Annals of Biomedical Engineering · doi:10.1007/s10439-009-9733-y · Cited by 6
Sharif, A., Ravindran, V. K., Dunseath, G. J., Luzio, S. D., Owens, D. R., & Baboolal, K. (2010) · Transplantation · doi:10.1097/tp.0b013e3181d9e1d8 · Cited by 6
“• Fasting glucose/insulin ratio (11) • Homeostasis model assessment (HOMA): (glucose [in millimoles per liter] insulin [in picomoles per liter])/135 (12) • 1/HOMA • Log (HOMA) • Quantitative insulin sensitivity check index: 1/(log glucose [in milligrams per decilitre] log insulin [in microunits per millilitre]) (13) •…”
MethodWang, Y., Fedorcsák, P., Dale, P. O., Storeng, R., Åbyholm, T., & Tanbo, T. G. (2001) · Gynecological Endocrinology · doi:10.1080/gye.15.3.192.197 · Cited by 6
Chen, Q., Cai, Z., Mao, P., Zhai, Y.-M., Mitchell, P. B., & Tang, Y. (2008) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2008.03.004 · Cited by 6
Raskauskiene, D., Jones, P. W., Govind, A., Obhrai, M. S., & Clayton, R. N. (2005) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2004-0569 · Cited by 6
Pintaudi, B., Vieste, G. D., Corrado, F., et al. (2013) · Journal of Diabetes Research · doi:10.1155/2013/486593 · Cited by 6
“The quantitative insulin sensitivity check index (QUICKI) was also calculated to estimate the insulin resistance [16].”
MethodPrevalence of insulin resistance in obese Cameroonian women
Yangoua, H. C. M., Boris, A. K., Franccedil, N., Raiuml, O., Laure, N. J., & Oben, J. E. (2010) · Journal of Diabetes and Endocrinology · doi:10.5897/jde.9000018 · Cited by 5
Body composition of lean women with polycystic ovary syndrome
Zabulienė, L., Urbonienė, J., & Tutkuvienė, J. (2013) · Anthropological Review · doi:10.2478/anre-2013-0018 · Cited by 6
“(mmol/l)/0,0555)) (Katz et al. 2000).”
InfluentialComparing Simple Insulin Sensitivity Indices to the Oral Minimal Model Postexercise
Rynders, C. A., Weltman, J. Y., Malin, S. K., Jiang, B., Breton, M. D., Barrett, E. J., & WELTMAN, A. L. (2015) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000000728 · Cited by 7
High-calorie diet inflates steatogenic effects of valproic acid in mice
Priya, C. S., Bhavani, K., & Anuradha, C. V. (2016) · Toxicology Mechanisms and Methods · doi:10.3109/15376516.2015.1128034 · Cited by 6
“, 1985), quantitative insulin sensitivity check index (QUICKI) (Katz et al., 2000) and”
BackgroundMethodInfluentialLeutner, M., Göbl, C. S., Wielandner, A., Howorka, E., Prünner, M., Bozkurt, L., Schlager, O., Charwat‐Resl, S., & Kautzky‐Willer, A. (2016) · Lipids in Health and Disease · doi:10.1186/s12944-016-0180-0 · Cited by 7
“The correlation between waist circumference and HOMA-IR (p 0.001), as well as the correlation between waist circumference and QUICKI-test (p = 0.001) was significant.”
MethodInfluentialModeling glucose and free fatty acid kinetics in glucose and meal tolerance test
Li, Y., Chow, C. C., Courville, A. B., Sumner, A. E., & Periwal, V. (2016) · Theoretical Biology and Medical Modelling · doi:10.1186/s12976-016-0036-3 · Cited by 6
“The insulin sensitivity index (SI) is the most frequently used, as directly measured by glucose clamp [9], or indirectly by a mathematical MM analysis of data from the insulin-modified frequently-sampled intravenous glucose tolerance test (IM-FSIGT) [10–13].”
MethodLazourgui, M.-A., El-Aoufi, S., Labsi, M., & Maouche, B. (2016) · Biological Trace Element Research · doi:10.1007/s12011-016-0617-3 · Cited by 6
Zhong, W., Tang, Y. G., Zhao, X., Yan‐Go, F. L., Harper, R. M., & Hui, H. (2014) · Pancreas · doi:10.1097/mpa.0000000000000083 · Cited by 6
“Increased sympathetic nervous system activity has been linked to IR.”
MethodInfluentialFichna, M., Żurawek, M., Gryczyńska, M., Sowińska, A., Nowak, J., & Ruchała, M. (2016) · European Journal of Internal Medicine · doi:10.1016/j.ejim.2016.03.027 · Cited by 6
Gruzdeva, O. V., Каретникова, В. Н., Евгеньевна, А. О., et al. (2013) · Annals of the Russian academy of medical sciences · doi:10.15690/vramn.v68i7.706 · Cited by 6
“(2000), среднее значение QUICKI, равное 0,382+0,007, соответствует нормальной тканевой чувствительности к инсулину; значение QUICKI равное 0,331+0,010 и 0,304+0,007 — умеренной и выраженной степени тканевой ИР [2].”
InfluentialA study to evaluate surrogate markers of insulin resistance in forty euglycemic healthy subjects.
Gupta, A., & Jain, S. K. (2004) · PubMed · Cited by 6
Cabrera‐Rode, E., Rodríguez, J., Álvarez, A. Á., Valdés, R. E., Reyes, A. D., Cubas‐Dueñas, I., Tristá, S. E. T., & Díaz, Ó. D. (2017) · Journal of Dietary Supplements · doi:10.1080/19390211.2017.1304482 · Cited by 5
“They were calculated according to the following formulae: QUICKI index (quantitative insulin sensitivity check index [QUICKI]) = [1/[log insulin0 + log glucose0] (Katz et al., 2000).”
MethodGermain, N., Khalfallah, Y., Estour, B., & Galusca, B. (2017) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2017.12.006 · Cited by 6
Leite, N., da Silva, L. R., de Jesus, Í. C., Lopes, W. A., Cavaglieri, C. R., Consentino, C. L. M., Radominski, R. B., de Souza, R. L. R., Tureck, L. V., & Alle, L. F. (2018) · Motriz Revista de Educação Física · doi:10.1590/s1980-6574201700si0017 · Cited by 6
Tilişcan, C., Aramă, V., Mihăilescu, R., Munteanu, D., Iacob, D. G., Popescu, C., Catană, R., Negru, A. R., Lobodan, A., & Aramă, Ș. S. (2018) · Endocrine Research · doi:10.1080/07435800.2018.1439058 · Cited by 6
“Resistance to insulin was assessed by calculating the Quantitative Insulin Sensitivity Check Index (QUICKI), computed as 1/ (log(fasting insulin μU/mL) + log(fasting glucose mg/dL).(9)”
MethodCirculating SCUBE1 levels in women with polycystic ovary syndrome
Erol, O., Elli̇dağ, H. Y., Özel, M. K., Uysal, A., Eren, E., & Yılmaz, N. (2018) · Journal of Turkish Society of Obstetric and Gynecology · doi:10.4274/tjod.25826 · Cited by 6
“Insulin sensitivity was calculated using the quantitative insulin-sensitivity check index (QUICKI), according to the following formula: 1/[log (fasting insulin level (μU/mL) + log (fasting glucose level (mg/dL)](16).”
MethodSidiropoulou, E. J., Paltoglou, G., Valsamakis, G., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-34075-6 · Cited by 6
Physical activity: the key to cardiometabolic risk reduction in obstructive sleep apnoea
Mendelson, M., & Flore, P. (2018) · European Respiratory Journal · doi:10.1183/13993003.01775-2018 · Cited by 6
Oinonen, L., Koskela, J., Eräranta, A., Tikkakoski, A., Kähönen, M. A. P., Niemelä, O. J., Mustonen, J. T., & Pörsti, I. H. (2019) · Blood Pressure · doi:10.1080/08037051.2019.1696180 · Cited by 6
Zakaria, S., Hasan, R. A., Mahmoud, M. F., Fayoumi, H. M. E., & Mahmoud, A. A. A. (2020) · Clinical and Experimental Pharmacology and Physiology · doi:10.1111/1440-1681.13257 · Cited by 6
Papadakis, E. P., Sarigianni, M., Τζιόμαλος, Κ., Mavromatidis, G., & Panidis, D. (2020) · HORMONES · doi:10.1007/s42000-020-00182-1 · Cited by 6
Nowacka-Chmielewska, M., Liśkiewicz, D., Liśkiewicz, A., Marczak, Ł., Wojakowska, A., Barski, J. J., & Małecki, A. (2020) · Nutritional Neuroscience · doi:10.1080/1028415x.2020.1770433 · Cited by 7
“tivity index (QUICKY = 1/(log(I) + log(G)) where I is the fasting serum insulin concentration and G is the fasting glucose concentration [26].”
BackgroundLu, W.-A., Chen, Y., Wang, C.-H., & Kuo, C. (2020) · Life · doi:10.3390/life10080145 · Cited by 6
“QUICKI, as the index of insulin sensitivity, was calculated using the following Equation (2) [16]:”
MethodLewandowski, K., Głuchowska, M., Garnysz, K., Horzelski, W., Grzesiak, M., & Lewiński, A. (2021) · Endokrynologia Polska · doi:10.5603/ep.a2021.0095 · Cited by 6
Murdock, D. K., Olson, K. J., Juza, R. M., & Hendricks, B. L. (2006) · Journal of the CardioMetabolic Syndrome · doi:10.1111/j.1559-4564.2006.05807.x · Cited by 6
Akbarzadeh, M., Moradi, F., Dabbaghmanesh, M. H., Jafari, P., & Parsanezhad, M. E. (2013) · Journal of Endocrinology Metabolism and Diabetes of South Africa · doi:10.1080/22201009.2013.10872312 · Cited by 6
Mayoral, L. P.-C., Pérez‐Campos, E., Zenteno, E., Majluf‐Cruz, A., Pérez-Ortega, E., Matías-Pérez, D., Rodal-Canales, F. J., Martínez-Cruz, R., Pina-Canseco, M. D. S., Franco, M., et al. (2014) · Diabetology & Metabolic Syndrome · doi:10.1186/1758-5996-6-93 · Cited by 6
“Both MS patients and those in the healthy group were screened for insulin levels, assessed by the (HOMA-IR) [13], the quantitative insulin sensitivity check index (QUICKI) [14], and by the lipid-parameter-based index (Mffm/I) [15-17].”
MethodAguirre, M., Briceño, Y., Gómez‐Pérez, R., Zerpa, Y., Camacho, N. I., & Paoli, M. (2017) · Endocrinología Diabetes y Nutrición · doi:10.1016/j.endinu.2017.10.010 · Cited by 6
Murata, M., Adachi, H., Oshima, S., & Kurabayashi, M. (2018) · International Heart Journal · doi:10.1536/ihj.17-245 · Cited by 6
“20 Family CVD hx 23 (20) 16 (18) 7 (25) 0.”
Glucose and Insulin Responses to an Intravenous Glucose Load in Thoroughbred and Paso Fino Horses
Breuhaus, B. A. (2019) · Journal of Equine Veterinary Science · doi:10.1016/j.jevs.2019.102793 · Cited by 6
MicroRNA-802 regulates hepatic insulin sensitivity and glucose metabolism.
Zhen, Y., Zhang, Y., Zhao, H., et al. (2018) · PubMed · Cited by 6
Plasma Levels of Neudesin and Glucose Metabolism in Obese and Overweight Children
Vergani, E., Bruno, C., Cipolla, C., Currò, D., & Mancini, A. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.881524 · Cited by 8
“QUICKI index was calculated according to the formula 1/log [fasting insulin (mUI/ml)] + log [fasting glucose (mg/dl)] (27).”
MethodMicić, D., Cvijović, G., Doknić, M., Kendereski, A., & POPOVIC, V. M. (2002) · PubMed · Cited by 6
Liu, Y., Spreng, T., Lehr, M., Yang, B., Karau, A., Gebhardt, H., & Steinacker, J. M. (2015) · Food & Function · doi:10.1039/c5fo00263j · Cited by 6
Effect of regional fat loss assessed by DXA on insulin resistance and dyslipidaemia in obese women
Aasen, G., Fagertun, H., & Halse, J. (2010) · Scandinavian Journal of Clinical and Laboratory Investigation · doi:10.3109/00365511003628328 · Cited by 6
“The reductions (Δ) in total FM, trunk FM and leg FM (Table III) were favourably and similarly correlated with the improvements in most indices of insulin resistance i.e., Δ HOMA-IR ( p 0.01–0.001), Δ QUICKI ( p 0.05–0.001), Δ insulin ( p 0.05–0.01), Δ C-peptide ( P 0.05–0.001), Δ MCRestOGTT ( p 0.02 for total FM and l…”
MethodInfluentialKoponen, H., Vuononvirta, J., Maki, P. M., Miettunen, J., Moilanen, I., Taanila, A. M., Ruokonen, A., & Veijola, J. M. (2008) · Schizophrenia Research · doi:10.1016/j.schres.2008.05.021 · Cited by 6
High Incidence of Insulin Resistance and Dysglycemia Amongst Nondiabetic Cardiac Surgical Patients
Hofferberth, S. C., Newcomb, A. E., Ryan, M. C., Yii, M. Y., Nixon, I. K., Rosalion, A., Boston, R. C., Ward, G. M., & Wilson, A. (2012) · The Annals of Thoracic Surgery · doi:10.1016/j.athoracsur.2012.01.101 · Cited by 6
“log (fasting plasma insulin) [13]; fasting insulin [14],”
A study on glucose metabolism in a small cohort of children and adolescents with kidney transplant
Giordano, M., Colella, V., Dammacco, A., Torelli, C., Grandaliano, G., Teutonico, A., Depalo, T., Caringella, D. A., & Paolo, S. D. (2006) · Journal of Endocrinological Investigation · doi:10.1007/bf03344104 · Cited by 5
Stéatopathie métabolique : prise en charge
Pariente, A. E. (2009) · Gastroentérologie Clinique et Biologique · doi:10.1016/j.gcb.2009.02.028 · Cited by 5
Ten, S., Bhangoo, A., Ramchandani, N., Mueller, C., Vogiatzi, M. G., New, M. I., LESSER, M. L., & Maclaren, N. K. (2007) · Journal of Pediatric Endocrinology and Metabolism · doi:10.1515/jpem.2007.20.9.989 · Cited by 6
Trujillo-Murillo, K. D. C. (2011) · The Open Hepatology Journal · doi:10.2174/1876517301103010001 · Cited by 6
Lerman, I. G., Villa, A. R., Torres, J., Tamez-Gutiérrez, L. E., Pérez, F. G., Velasco, S. L. D. V., & Rodrigo, J. A. R. (2003) · Journal of Diabetes and its Complications · doi:10.1016/s1056-8727(02)00201-5 · Cited by 6
“Two other equations were calculated from the fasting insulin and glucose values; the Quantitative Insulin Sensitivity Check Index (QUICKI formula) is based on a logarithmic and reciprocal transformation of these two values (Katz et al., 2000) [1/log fasting insulin (mU/ml) + log fasting glucose (mg/dl)] and the formul…”
BackgroundMethodFerrer-Martínez, A., Marotta, M., Turini, M. E., Macé, K., & Gómez-Foix, A. M. (2006) · Lipids · doi:10.1007/s11745-006-5070-1 · Cited by 6
Rivas‐Crespo, M. F. (2015) · Diabetes Care · doi:10.2337/dc15-1172 · Cited by 6
“For this purpose, the authors estimated the logarithm of HOMA-IR and the inverse of QUICKI, proceeding finally to an equalization of equations.”
MethodInfluential[Care of insulin resistance in polycystic ovary syndrome].
Hernández-Valencia, M., Hernández-Rosas, M., & Zárate, A. (2010) · PubMed · Cited by 6
Mousavinasab, F. (2007) · Cited by 6
Leite, N., Tadiotto, M. C., de Moraes-Junior, F. B., de Menezes-Junior, F. J., Corazza, P. R. P., da Silva, L. R., Lopes, W. A., de Matos, O., Radominski, R. B., & Coelho-e-Silva, M. J. (2024) · Scientific Reports · doi:10.1038/s41598-024-61805-w · Cited by 9
“Homeostasis metabolic assessment insulin resistance (HOMA-IR) 33 and quantitative insulin sensitivity check index (QUICKI) 34 were determined.”
MethodInfluentialZin, R. M. W. M., Jalaludin, M. Y., Zain, F. M., et al. (2024) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-024-01493-8 · Cited by 5
Du, R., Wang, F., Li, L., & Wang, Q. (2025) · Obesity Reviews · doi:10.1111/obr.70048 · Cited by 9
“• Quantitative Insulin Sensitivity Check Index (QUICKI): calculated as 1 / [log (fasting insulin μU/mL) + log (fasting glucose mg/dL)] [35].”
Sainath, P., Satyam, S. M., Bharati, S., Shetty, P., Rehman, A., El‐Tanani, M., Bairy, L. K., Ahmed, A. Z., Densil, T., Fathima, S., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-26559-z · Cited by 5
“The formula for the calculation of QUICKI is as follows: QUICKI = 1/[log(I o ) + log(G o )] Where: I o is fasting insulin (µU/mL) and G o is fasting glucose (mg/dL) 56 .”
Comparing surrogate indexes for insulin resistance as predictors of type 2 diabetes
Vazquez, L., Arreola, E. V., NAGUL, M., Krakoff, J. A., & Hanson, R. L. (2026) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgag101 · Cited by 7
Khosrowbeygi, A., & Ahmadvand, H. (2020) · Clinical Diabetology · doi:10.5603/dk.2020.0038 · Cited by 5
“Insulin resistance and insulin sensitivity were estimated using the homeostasis model assessment of insulin resistance (HOMA-IR) index [14] and the quantitative insulin sensitivity check index (QUICKI) [15] formulas, respectively.”
MethodLiu, C., Zhao, Q., Ma, X., Cheng, Y., Sun, Y., Zhang, D., Liu, X., & Zhou, Y. (2023) · Reviews in Cardiovascular Medicine · doi:10.31083/j.rcm2401002 · Cited by 6
“HOMA-IR has been widely used clinically due to its simplicity, low cost and effectiveness [43,44], and has shown a high correlation with poor prognosis in CVD patients [45–47].”
Result
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
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