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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“5 [14], as well as the quantitative insulin sensitivity check index (QUICKI): [1/log (fasting insulin mU/mL) þ log (fasting glucose mg/dL)] [15].”
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“It is an alternative method to measure insulin sensitivity in large population studies and was calculated as follows: QUICKI = 1/(log FPI + log FBG), where FPI = fasting plasma insulin level expressed as mU/l, and FBG = fasting plasma glucose level expressed as mg/dL [24].”
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BackgroundMethodGlucose Use in Fasted Rats Under Sevoflurane Anesthesia and Propofol Anesthesia
Sato, K., Kitamura, T., Kawamura, G., Mori, Y., Sato, R., Araki, Y., & Yamada, Y. (2013) · Anesthesia & Analgesia · doi:10.1213/ane.0b013e31829e4028 · Cited by 28
Cui, Y., Liu, H., Liu, Y., Wu, Y.-M., & Liang, J. (2013) · European Journal of Anaesthesiology · doi:10.1097/eja.0b013e328360c6b9 · Cited by 29
Ohlsson, L., Alsalim, W., Carr, R. D., Tura, A., Pacini, G., Mari, A., & Åhrén, B. (2013) · Diabetes Obesity and Metabolism · doi:10.1111/dom.12062 · Cited by 30
“Following fat and protein administration, insulin sensitivity was determined using an extension of the QUICKI method [15] according to the equation 1/[log(AUCglucose/T) + log(AUCinsulin/T)], where AUC was calculated during the post challenge time interval T from 5 to 120 min.”
MethodVergotine, Z., Yako, Y. Y., Kengne, A. P., Erasmus, R. T., & Matsha, T. E. (2014) · BMC Genetics · doi:10.1186/1471-2156-15-10 · Cited by 30
“*, interaction; FIRI, fasting insulin resistance index; HOMA-IR, homeostatic model assessment of insulin resistance; IRS1, Insulin Substrate Receptor 1; PPARG, Peroxisome Proliferator-Activated Receptor Gamma; QUICKI, the quantitative insulin-sensitivity check index. to simple fasting indices of IR as they take post-l…”
MethodInfluentialWall‐Medrano, A., Ramos‐Jiménez, A., Hernández‐Torres, R. P., Villalobos‐Molina, R., Tapia-Pancardo, D. C., Jiménez-Flores, R., Méndez‐Cruz, A. R., Murguía‐Romero, M., Gallardo‐Ortíz, I. A., & Urquídez-Romero, R. (2016) · BMC Public Health · doi:10.1186/s12889-016-2896-1 · Cited by 30
“WCF showed practically the same prediction power like WCM (same Se and Sp) toward the same CMM: Lowest (HDL-C and LDL-C) and highest (UA, HTGW, MetS) Se, lowest (TC) and highest (FI, HOMAIR, QUICKI) Sp.”
MethodInfluentialStrong antineoplastic effects of metformin in preclinical models of liver carcinogenesis
Cauchy, F., Mebarki, M., Leporq, B., Laouirem, S., Albuquerque, M., Lambert, S. A., Bourgoin, P., Soubrane, O., BEERS, B. E. V., Faivre, S. J., et al. (2016) · Clinical Science · doi:10.1042/cs20160438 · Cited by 31
Vogel, C. E., Crovesy, L., Rosado, E. L., & Soares-Mota, M. (2020) · Food & Function · doi:10.1039/d0fo00872a · Cited by 30
Body Composition Changes with Long-term Pegvisomant Therapy of Acromegaly
Kuker, A. P., Shen, W., Jin, Z., Singh, S., Chen, J., Bruce, J. N., & Freda, P. U. (2021) · Journal of the Endocrine Society · doi:10.1210/jendso/bvab004 · Cited by 31
“Abbreviations: BMI, body mass index; HOMA IR, homeostasis model assessment insulin resistance; IGF, insulin-like growth factor; QUICKI, quantitative insulin sensitivity check index; ULN, upper limit of normal. aOn pegvisomant values were those at the last testing time point in the study. bHOMA IR = (fasting serum insu…”
MethodInfluentialHosseini, A. M., Keshavarz, S. A., Nasli‐Esfahani, E., Amiri, F., & Janani, L. (2021) · European Journal of Nutrition · doi:10.1007/s00394-021-02492-5 · Cited by 31
“Also, insulin resistance index [23] and insulin sensitivity [24] were calculated according to the following formulas: HOMA-IR = [insulin (μmol/ml) x FSG (mg/dl)]/450 QUICKI = 1/[log (Fasting Insulin) + log (Fasting Glucose)]”
MethodMeasuring Insulin Resistance in Humans
Sharma, V. R., Matta, S. T., Haymond, M. W., & Chung, S. T. (2020) · Hormone Research in Paediatrics · doi:10.1159/000515462 · Cited by 30
Ruiz, H. H., Nguyen, A. T., Wang, C., He, L., Li, H., Hallowell, P. T., McNamara, C. A., & Schmidt, A. M. (2021) · International Journal of Obesity · doi:10.1038/s41366-021-00878-3 · Cited by 32
Qu, Z., Zhu, Y., Jiang, J., Shi, Y., & Chen, Z. (2013) · Europe PMC (PubMed Central) · Cited by 34
Soliman, A. T., Yasin, M., Elawwa, A., & Sanctis, V. D. (2013) · Indian Journal of Endocrinology and Metabolism · doi:10.4103/2230-8210.111647 · Cited by 30
Homayounfar, R., Jeddi‐Tehrani, M., Cheraghpour, M., Ghorbani, A., & Zand, H. (2014) · General and Comparative Endocrinology · doi:10.1016/j.ygcen.2014.06.029 · Cited by 32
“Also, a quantitative insulin sensitivity check index (QUICKI) was calculated which had substantially better correlation with insulin sensitivity (Katz et al., 2000).”
MethodPlatelet-derived microparticles in overweight/obese women with the polycystic ovary syndrome
Koiou, E., Τζιόμαλος, Κ., Katsikis, I., et al. (2012) · Gynecological Endocrinology · doi:10.3109/09513590.2012.743005 · Cited by 30
“The Quantitative insulin sensitivity check index (QUICKI) was calculated according to the following formula: QUICKI = 1/[log Insulin (μIU/ml) + log Glucose (mg/dl)] [13].”
MethodCardiometabolic Risk in Chinese Women with Prior Gestational Diabetes: A 15-Year Follow-Up Study
Tam, W. H., Ronald, C. W., Yang, X., Ko, G. T.-C., Lao, T. T.-H., Chan, M. H. M., Lam, C. W.-K., Cockram, C. S., & Chan, J. C. N. (2011) · Gynecologic and Obstetric Investigation · doi:10.1159/000329339 · Cited by 29
Aramă, V., Tilişcan, C., Streinu‐Cercel, A., Ion, D. A., Mihăilescu, R., Munteanu, D., Hristea, A., Aramă, Ș. S., & the SLD-ART study group (2013) · BMC Endocrine Disorders · doi:10.1186/1472-6823-13-4 · Cited by 30
“IR was determined using the Quantitative Insulin Sensitivity Check Index (QUICKI), calculated as 1/(log (fasting insulin μU/mL) + log(fasting glucose mg/dL) [12].”
MethodWu, S., Hsu, L., Cheng, S.-T., Teng, M., Yeh, C.-H., Sun, Y., Huang, H., & Ko, Y. (2014) · International Journal of Molecular Sciences · doi:10.3390/ijms151222421 · Cited by 30
“Quantitative insulin sensitivity check index (QUICKI), used as the measurement for insulin sensitivity, is defined as follows: QUICKI = 1/[(log(I0) + log(G0)], where I0 is the fasting plasma insulin level (μU/mL) and G0 is the fasting blood glucose level (mg/dL) [37].”
MethodFenofibrate reduces serum retinol-binding protein-4 by suppressing its expression in adipose tissue
Wu, H., Li, W., Bao, Y., Lu, J., Huang, P. C., Liu, Y., Jia, W., & Xiang, K. (2008) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.90526.2008 · Cited by 30
“(FPG)], where FINS is fasting serum insulin concentration (µU/ml) and FPG is fasting plasma glucose (mmol/l) ( 19 ).”
BackgroundOBESITY, HYPERTENSION AND INSULIN RESISTANCE IN CHILDHOOD - A PILOT STUDY
Pastucha, D., Talafa, V., Malinčíková, J., Cíhalík, C., Hyjánek, J., Horáková, D., & Janout, V. (2010) · Biomedical Papers · doi:10.5507/bp.2010.013 · Cited by 30
Glucose Metabolism in Primary Aldosteronism
Remde, H., Hanslik, G., Rayes, N., & Quinkler, M. O. (2015) · Hormone and Metabolic Research · doi:10.1055/s-0035-1565208 · Cited by 30
Carreras, N. L., Martorell, P., Chenoll, E., Genovés, S., Ramón, D., & Aleixandre, A. (2018) · Beneficial Microbes · doi:10.3920/bm2017.0141 · Cited by 32
Prevalence of hypoglycaemia in a random population after Roux-en-Y gastric bypass after a meal test
Emous, M., van den Broek, M., Wijma, R. B., de Heide, L. J. M., van Dijk, G., Laskewitz, A. J., Totté, E., Wolffenbuttel, B. H. R., & van Beek, A. P. (2019) · Endocrine Connections · doi:10.1530/ec-19-0268 · Cited by 30
Ho, R. C., Davy, K. P., Davy, B. M., & Melby, C. L. (2002) · Metabolism · doi:10.1053/meta.2002.35577 · Cited by 30
Portman, R. J., McNiece, K. L., Swinford, R. D., Braun, M., & Samuels, J. (2005) · Current problems in pediatric and adolescent health care · doi:10.1016/j.cppeds.2005.06.001 · Cited by 28
Crinò, A., Giorgio, G. D., Manco, M., Grugni, G., & Maggioni, A. (2007) · Hormone Research in Paediatrics · doi:10.1159/000100371 · Cited by 30
“QUICKI was calculated as 1/[log(I 0 ) + log(G 0 )], [”
Charbonnel, B. H., Roden, M., Urquhart, R., Mariz, S., Johns, D., Mihm, M., Widel, M., & Tan, M. H. (2005) · Diabetologia · doi:10.1007/s00125-004-1651-9 · Cited by 30
“Values for the quantitative insulin sensitivity check index (QUICKI, another surrogate for insulin sensitivity) were calculated as 1/ (log10 fasting serum insulin+log10 fasting plasma glucose) [14].”
MethodGünczler, P., & Lanes, R. (2006) · Journal of Pediatric Endocrinology and Metabolism · doi:10.1515/jpem.2006.19.3.259 · Cited by 30
“Our results are, however, in agreement with those of Katz et al.(20), who demonstrated, in a group of obese, non-obese and diabetic adults, that the overall correlation between the insulin-glucose clamp technique, which is considered the 'gold standard' method to identify insulin sensitivity, and the QUICKI index was…”
ResultFasting‐based Estimates of Insulin Sensitivity in Overweight and Obesity: A Critical Appraisal
Ruige, J. B., Mertens, I. L., Bartholomeeusen, E., Dirinck, E. L., Ferrannini, E., & Gaal, L. F. V. (2006) · Obesity · doi:10.1038/oby.2006.142 · Cited by 29
“QUICKI (30) 1/ log (insulin) log (glucose) 0.”
Influentiall’Allemand, D., Eiholzer, U., Schlumpf, M., Torresani, T., & Girard, J. (2003) · Hormone Research in Paediatrics · doi:10.1159/000070224 · Cited by 30
“in 158 obese children (age range 0.3–15 years, weight for height >2 SD, 88 boys and 70 girls) and in 70 normal lean children, matched for age and sex. Glucose was measured in plasma and insulin by competitive radioimmunoassay with polyclonal antibody according to the Yalow and Berson method. Biochemical Analyses Accur…”
InfluentialHo, R. C., Davy, K. P., Hickey, M. S., & Melby, C. L. (2005) · Cytokine · doi:10.1016/j.cyto.2004.10.015 · Cited by 33
Rationale and Methods for the Estimation of Insulin Secretion in a Given Patient
Vague, P., & Nguyen, L. T. K. (2002) · Diabetes · doi:10.2337/diabetes.51.2007.s240 · Cited by 30
“CIGMA, continuous infusion of glucose with model assessment; HOMA, homeostasis model assessment; MODY, maturity-onset diabetes of the young; OGTT, oral glucose tolerance test; OHA, oral hypoglycemic agent; QUICKI, quantitative insulin sensitivity index.”
BackgroundInfluentialGlucocorticoid receptor polymorphism in obesity and glucose homeostasis
Majer-Łobodzińska, A., & Adamiec-Mroczek, J. (2017) · Advances in Clinical and Experimental Medicine · doi:10.17219/acem/41231 · Cited by 29
Lerchbaum, E., Trummer, C., Theiler-Schwetz, V., Kollmann, M., Wölfler, M., Pilz, S., & Obermayer-Pietsch, B. (2019) · Nutrients · doi:10.3390/nu11081894 · Cited by 29
“QUICKI was used to estimate insulin sensitivity and calculated as 1/log fasting insulin (μU/mL) + log fasting glucose (mg/dL) [19].”
MethodSoares, J. M., Hayashida, S. A. Y., Marcondes, J. A. M., Maciel, G. A. R., Barcellos, C. R. G., Maffazioli, G. D. N., Monteiro, K. K. A. C., Turri, J. A. O., Azziz, R., & Baracat, E. C. (2023) · Biomedicines · doi:10.3390/biomedicines11123262 · Cited by 29
Impaired β Cell Function in Chinese Newly Diagnosed Type 2 Diabetes Mellitus with Hyperlipidemia
Ma, Y., Wang, Y., Huang, Q., Ren, Q., Chen, S., Zhang, A., Zhao, L., Zhen, Q., & Peng, Y. (2014) · Journal of Diabetes Research · doi:10.1155/2014/493039 · Cited by 29
“5, and QUICKI = 1/(log (FPGmg/dL)) + log (FINS μU/mL)) [9, 10].”
InfluentialSex-Specific Differences in an ApoE−/−:Ins2+/Akita Mouse Model of Accelerated Atherosclerosis
Venegas-Pino, D. E., Wang, P., Stoute, H., Pickersgill, N. A., Hong, B. Y., Khan, M. I., Shi, Y., & Werstuck, G. H. (2015) · American Journal Of Pathology · doi:10.1016/j.ajpath.2015.09.009 · Cited by 30
“where QUICKI is Quantitative Insulin Sensitivity Check Index, I0 is fasting insulin (mIU/mL) and G0 is fasting glucose (mg/dL).(24,25)”
BackgroundGeetha, R., Priya, C. S., & Anuradha, C. V. (2017) · Chemico-Biological Interactions · doi:10.1016/j.cbi.2017.09.012 · Cited by 29
Insulin resistance and bone age advancement in girls with central precocious puberty
Hur, J. H., Park, S., Jung, M. K., Kang, S. J., Kwon, A., Chae, H. W., Kim, H.-S., & Kim, D. H. (2017) · Annals of Pediatric Endocrinology & Metabolism · doi:10.6065/apem.2017.22.3.176 · Cited by 30
Alshareef, S. A., Rayis, D. A., Adam, I., & Gasim, G. I. (2018) · BMC Research Notes · doi:10.1186/s13104-018-3642-9 · Cited by 29
Wong, Q. H. Y., Li, R., Lam, K. S. L., Tam, S., Shek, C. C., Lee, C. Y. V., Yeung, W. S. B., Ho, P. C., & Ng, E. H. Y. (2018) · Clinical Endocrinology · doi:10.1111/cen.13816 · Cited by 29
Mehanna, E. T., El-Sayed, N. M., Ibrahim, A. K., Ahmed, S. A., & Abo–Elmatty, D. M. (2018) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2018.09.126 · Cited by 28
Al‐Daghri, N. M., Wani, K., Yakout, S. M., Al‐Hazmi, H., Amer, O. E., Hussain, S. D., Sabico, S., Ansari, M. G. A., Al-Musharaf, S., Alenad, A. M. H., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-46006-0 · Cited by 30
Rashti, B. A., Mehrabani, J., Damirchi, A., & Babaei, P. (2019) · Menopause Review/Przegląd Menopauzalny · doi:10.5114/pm.2019.90810 · Cited by 28
Relationship between plasma S-Klotho and cardiometabolic risk in sedentary adults
Amaro‐Gahete, F. J., Jurado‐Fasoli, L., Sánchez‐Delgado, G., Garcı́a-Lario, J. V., Castillo, M. J., & Ruiz, J. R. (2020) · Aging · doi:10.18632/aging.102771 · Cited by 30
“Insulin sensitivity was estimated via the quantitative insulin sensitivity check index (QUICKI) [41] and the”
MethodInfluentialHbA1c during early pregnancy reflects beta-cell dysfunction in women developing GDM
Bozkurt, L., Göbl, C. S., Leitner, K., Pacini, G., & Kautzky‐Willer, A. (2020) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2020-001751 · Cited by 32
Li, L., Yao, H., Dai, W., et al. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.988257 · Cited by 29
“The Homeostatic Model Assessment (HOMA-IR) and the Quantitative Insulin Sensitivity Check method (QUIC) are alternatives to the glucose clamp method for determining IR using insulin and glucose levels (19, 20), but it is difficult for most laboratories to perform insulin testing in underdeveloped countries, limiting t…”
MethodJiménez‐Pavón, D., Ruiz, J. R., Ortega, F. B., Martínez‐Gómez, D., Moreno, S., Urzanqui, A., Gottrand, F., Molnár, D., Castillo, M. J., Sjöstróm, M., et al. (2013) · Pediatric Diabetes · doi:10.1111/pedi.12000 · Cited by 31
“The quantitative insulin sensitivity check index (QUICKI) was calculated as QUICKI = 1/[log insulin (μIU/mL) + log glucose(mg/dL)] (33).”
MethodVentilation and Its Control during Incremental Exercise in Obesity
Salvadori, A., Fanari, P., Tovaglieri, I. M. A., Giacomotti, E., Nibbio, F., Belardi, F., & Longhini, E. (2006) · Respiration · doi:10.1159/000097245 · Cited by 29
“In line with these considerations, the present study focuses on ventilation in obese subjects during progressive exercise testing, ventilatory adaptations to increasing effort, the changes in lactic acid and potassium levels and possible correlations. Methods Patients Twelve sedentary obese subjects (6 males and 6 fem…”
MethodInfluentialMetabolic syndrome: A review of emerging markers and management
Singh, B. K., Arora, S., Goswami, B., & Mallika, V. (2009) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2009.04.012 · Cited by 29
Elion, R., DeJesus, E., Sension, M., et al. (2008) · HIV Clinical Trials · doi:10.1310/hct0903-152 · Cited by 29
Pontiroli, A. E., Pizzocri, P., Caumo, A., Perseghin, G., & Luzi, L. (2004) · Acta Diabetologica · doi:10.1007/s00592-004-0147-x · Cited by 29
“homeostasis model assessment (HOMA), 1/HOMA [6, 7], QUICKI [8] derived from fasting glucose and insulin levels, models derived from IVGTT [9], and more sophisticated approaches such as hyperinsulinaemic euglycaemic clamp [10] or the low-dose-insulin glucose infusion test (LDIGIT) [11].”
MethodOlza, J., Mesa, M. D., Aguilera, C. M., Moreno‐Torres, R., Jimenez, A. A., de la Cruz, A. P., & Gil, Á. (2009) · Clinical Nutrition · doi:10.1016/j.clnu.2009.06.003 · Cited by 29
Short‐term Training Effects on Diastolic Function in Obese Persons With the Metabolic Syndrome
Baynard, T., Carhart, R. L., Ploutz‐Snyder, L. L., Weinstock, R. S., & Kanaley, J. A. (2008) · Obesity · doi:10.1038/oby.2008.212 · Cited by 29
“Insulin resistance was calculated from the quantitative insulin sensitivity check index (19).”
MethodIntolerancia a la glucosa en niños y adolescentes obesos
Yeste, D., Betancourth, S., Gussinyé, M., Potau, N., & Carrascosa, A. (2005) · Medicina Clínica · doi:10.1157/13079381 · Cited by 29
Jiao, K., Liu, H., Chen, J., Tian, D., Hou, J., & Kaye, A. D. (2008) · Cytokine · doi:10.1016/j.cyto.2007.12.002 · Cited by 29
“[21,22] with the formula: QUICKI = 1/(log [FIRI in mU/l] + log [FPG in mg/dl]).”
Daoussis, D., Panoulas, V. F., Toms, T. E., et al. (2009) · Arthritis Research & Therapy · doi:10.1186/ar2775 · Cited by 29
“The above-mentioned variables, apart from QUICKI, were inversely associated with GFR.”
MethodInfluentialSumida, Y., Yonei, Y., Kanemasa, K., Hara, T., Inada, Y., Sakai, K., Imai, S., Hibino, S., Yamaguchi, K., Mitsuyoshi, H., et al. (2010) · Hepatology Research · doi:10.1111/j.1872-034x.2010.00704.x · Cited by 29
Jung, A. D., Kim, W., Park, S., Park, J. S., Cho, S. C., Hong, S. B., Hwang, S. H., & Kim, W. (2009) · Korean Circulation Journal · doi:10.4070/kcj.2009.39.5.180 · Cited by 30
Does metformin induce ovulation in normoandrogenic anovulatory women?
Carmina, E., & Løbo, R. A. (2004) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2004.05.030 · Cited by 29
Polymorphisms of the Insulin Receptor Subtrate-2 in Patients with Type 2 Diabetes
D’Alfonso, R., Marini, M. A., Frittitta, L., Sorge, R. P., Frontoni, S., Porzio, O., Mariani, L. M., Lauro, D., Gambardella, S., Trischitta, V., et al. (2003) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2002-020807 · Cited by 28
Chien, K., Hsu, H., Su, T., Chen, M.-F., Lee, Y., & Hu, F. B. (2008) · American Heart Journal · doi:10.1016/j.ahj.2008.06.019 · Cited by 29
“QUICKI was calculated as inverse of sum logarithm fasting insulin and glucose.(6) ISI0,120 estimated the disposition of plasma glucose, given body weight and ambient insulin levels.”
MethodCorona, G., Cipriani, S., Rastrelli, G., Sforza, A., Mannucci, E., & Maggi, M. (2016) · The Journal of Sexual Medicine · doi:10.1016/j.jsxm.2016.07.004 · Cited by 29
Boyer, W. R., Wolff‐Hughes, D. L., Bassett, D. R., Churilla, J. R., & Fitzhugh, E. C. (2016) · Preventing Chronic Disease · doi:10.5888/pcd13.160159 · Cited by 29
Polyphenols activate energy sensing network in insulin resistant models
KRISHNAMOORTHY, R., & Anuradha, C. V. (2017) · Chemico-Biological Interactions · doi:10.1016/j.cbi.2017.07.016 · Cited by 31
Torres, A. C. M. B. G., Leite, N., Tureck, L. V., de Souza, R. L. R., Titski, A. C. K., Milano, G. E., Lazarotto, L., da Silva, L. R., & Alle, L. F. (2018) · Gene · doi:10.1016/j.gene.2018.11.065 · Cited by 32
Tang, L., Tong, Y., Zhang, F., Chen, G., Zhang, Y. C., Jobin, J., & Tong, N. (2019) · BMC Endocrine Disorders · doi:10.1186/s12902-019-0479-8 · Cited by 30
Relationships of Insulin Sensitivity with Fatness and Fitness and in Older Men and Women
Ouyang, P., Sung, J., Kelemen, M. D., Hees, P. S., DeRegis, J. R., Turner, K. L., Bacher, A. C., & Stewart, K. J. (2004) · Journal of Women s Health · doi:10.1089/154099904322966164 · Cited by 30
“32 QUICKI is defined as 1/[log (I 0 ) 1 log (G 0 )] (0 5 fasting), and a lower index indicates a greater degree of insulin resistance.”
Circulating adiponectin levels and cardiovascular risk factors in acromegalic patients
Ronchi, C. L., Corbetta, S., Cappiello, V., et al. (2004) · European Journal of Endocrinology · doi:10.1530/eje.0.1500663 · Cited by 29
Sokup, A., Ruszkowska-Ciastek, B., Góralczyk, K., Walentowicz, M., Szymański, M., & Rość, D. (2013) · BMC Endocrine Disorders · doi:10.1186/1472-6823-13-21 · Cited by 31
“It is commonly used as a parameter of the severity of insulin resistance and it strongly correlates with direct assessment of insulin resistance using the euglycemic clamp technique [11].”
MethodBirthweight and risk factors for cardiovascular diseases in Japanese schoolchildren
Kaneshi, T., Yoshida, T., Ohshiro, T., et al. (2007) · Pediatrics International · doi:10.1111/j.1442-200x.2007.02333.x · Cited by 29
IGF‐I concentrations are positively associated with carotid artery atherosclerosis in women
Hietaniemi, M., Pöykkö, S. M., Ukkola, O. H., Päivänsalo, M. J., & Kesäniemi, Y. A. (2005) · Annals of Medicine · doi:10.1080/07853890510011967 · Cited by 29
“Insulin sensitivity was assessed by the quick index (1 / [ log(fasting insulin) + log(fasting glucose)]) (11).”
MethodDE SOUSA, G., SCHLÜTER, B., MENKE, T., TROWITZSCH, E., ANDLER, W., & REINEHR, T. (2011) · Journal of Sleep Research · doi:10.1111/j.1365-2869.2010.00902.x · Cited by 28
“A quantitative Insulin Sensitivity Check Index (QUICKI) was calculated as follows (Katz et al., 2000): QUICKI = 1 ⁄ [log (fasting insulin in mU l) + log (fasting glucose in mmol l)].”
MethodElmorsy, E. A., Elsisi, H. A., Alkhamiss, A. S., Alsoqih, N. S., Khodeir, M. M., Alsalloom, A. A., Almeman, A. A., Elghandour, S. R., Nadwa, E. H., Khalifa, A. K., et al. (2025) · European Journal of Pharmaceutical Sciences · doi:10.1016/j.ejps.2025.107002 · Cited by 32
Ciresi, A., Amato, M. C., & Giordano, C. S. D. S. (2014) · Journal of Endocrinological Investigation · doi:10.1007/s40618-014-0184-4 · Cited by 28
“As surrogate estimates of insulin sensitivity, we considered the homeostasis model assessment estimate of insulin resistance (Homa-IR) [17], the quantitative insulin sensitivity check index (QUICKI) [19] and the insulin sensitivity index (ISI), a composite index derived from the OGTT and validated by Matsuda and DeFro…”
MethodInfluentialCaspar‐Bauguil, S., Fioroni, A., Galinier, A., Allenbach, S., Pujol, M., Salvayre, R., Cartier, A., Lemieux, I., Richard, D., Biron, S., et al. (2012) · Obesity Surgery · doi:10.1007/s11695-012-0633-0 · Cited by 28
“5 [31], whereas the “Quantitative Insulin Check Index” (QUICKI) which reflects insulin sensitivity was calculated as follows: 1/log [(fasting insulin) (μUI/mL)×(fasting glucose) (mg/dL)] [32].”
MethodKoh, K. K., Lim, S. K., Choi, H., Lee, Y., Han, S. H., Lee, K., Oh, P. C., Sakuma, I., Shin, E. K., & Quon, M. J. (2013) · Diabetes · doi:10.2337/db13-0566 · Cited by 28
“Quantitative Insulin-Sensitivity Check Index (QUICKI) was calculated (15,16).”
MethodSelf-citationde Rooij, S. R., Dekker, J. M., Kozàkovà, M., Mitrakou, A., Melander, O., Gabriel, R., Guidone, C., Højlund, K., Murphy, M. S., Nijpels, G., et al. (2009) · European Journal of Endocrinology · doi:10.1530/eje-09-0058 · Cited by 26
Ursini, F., Russo, E., Ruscitti, P., Giacomelli, R., & Sarro, G. D. (2018) · Autoimmunity Reviews · doi:10.1016/j.autrev.2017.11.030 · Cited by 26
Orhan, C., Küçük, O., Tuzcu, M., Şahin, N., Komorowski, J. R., & Şahin, K. (2018) · Food Science & Nutrition · doi:10.1002/fsn3.851 · Cited by 30
Antioxidants for Pancreatic Functions in Chronic Pancreatitis
Singh, N., Ahuja, V., Sachdev, V., et al. (2019) · Journal of Clinical Gastroenterology · doi:10.1097/mcg.0000000000001178 · Cited by 28
“046 Duration of alcohol intake (y) 16 (8-41) 13 (7-24) 0.”
Ceciliano, T. C., Dutra, R. R., Águila, M. B., & Mandarim‐de‐Lacerda, C. A. (2019) · The Journal of Steroid Biochemistry and Molecular Biology · doi:10.1016/j.jsbmb.2019.105399 · Cited by 30
Carmina, E., Stanczyk, F. Z., & Løbo, R. A. (2013) · Elsevier eBooks · doi:10.1016/b978-1-4557-2758-2.00034-2 · Cited by 30
Jayanthy, G., & Subramanian, S. P. (2015) · RSC Advances · doi:10.1039/c5ra04605j · Cited by 28
Herter‐Aeberli, I., Beljean, N., Lehmann, R., et al. (2008) · International Journal of Obesity · doi:10.1038/ijo.2008.128 · Cited by 28
de Almeida, A. R., Alegre, S. M., Zanini, M. B., de Souza, A. L., Etchebehere, M., & Gontijo, J. A. R. (2014) · Nutrition & Metabolism · doi:10.1186/1743-7075-11-25 · Cited by 30
“Reciprocally, the QUICKI index, a measure of insulin sensitivity, was significantly decreased in HI obese subjects when compared with LS and NI volunteers (P < 0.0001) (Figure 3C).”
MethodInfluentialMackenzie, J., Koekemoer, T., van de Venter, M., Dealtry, G., & Roux, S. (2009) · Phytotherapy Research · doi:10.1002/ptr.2830 · Cited by 28
“HOMA-IR and QUCKI were significantly altered in the HFD + S.f. group at week 2 (p 0.025 for both) and week 12 (p 0.025 for HOMA-IR and p 0.05 for QUICKI) when compared with the HFD group (Fig.”
MethodInfluentialAlternative Methods of Insulin Sensitivity Assessment in Obese Children and Adolescents
Rössner, S. M., Neovius, M., Montgomery, S., Marcus, C., & Norgren, S. (2008) · Diabetes Care · doi:10.2337/dc07-1655 · Cited by 28
Koiou, E., Τζιόμαλος, Κ., Katsikis, I., Kandaraki, E., Kalaitzakis, E., Delkos, D., Vosnakis, C., & Panidis, D. (2011) · Gynecological Endocrinology · doi:10.3109/09513590.2011.588745 · Cited by 28
“The quantitative insulin sensitivity check index (QUICKI) was calculated as 1/[log(fasting glucose (mg/dl)) + log(fasting insulin (mIU/l [23]))].”
MethodSpanos, N., Τζιόμαλος, Κ., Μacut, D., Koiou, E., Kandaraki, E., Delkos, D., Tsourdi, E. A., & Panidis, D. (2012) · Obesity Facts · doi:10.1159/000341579 · Cited by 28
Huhn, E. A., Fischer, T., Göbl, C. S., Bernasconi, M. T., Kreft, M., Kunze, M., Schoetzau, A., Dölzlmüller, E., Eppel, W., Husslein, P. W., et al. (2016) · BMJ Open · doi:10.1136/bmjopen-2016-012115 · Cited by 28
Metadata
- Authors
- Katz, A., Nambi, S. S., Mather, K., Baron, A. D., Follmann, D. A., Sullivan, G., & Quon, M. J.
- Affiliations
- National Institutes of Health (US)
- Indiana University Indianapolis (US)
- Venue
- The Journal of Clinical Endocrinology & Metabolism
- Publisher
- The Endocrine Society
- Published
- 2000-07-01
- Volume
- 85
- Issue
- 7
- Pages
- 2402-2410
- ISSN
- 0021-972X (ISSN-L)
- 1945-7197
- OpenAlex
- W2126327417
- Cited by
- 3,931
- References
- 48
- Citations by year
- 2026: 97 · 2025: 129 · 2024: 142 · 2023: 174 · 2022: 188 · 2021: 173 · 2020: 184 · 2019: 145 · 2018: 153 · 2017: 174 · 2016: 170 · 2015: 164 · 2014: 184 · 2013: 219 · 2012: 169
- FWCI
- 33.24
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Journal of Clinical Endocrinology & Metabolism (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Heart, Lung, and Blood Institute
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Pancreatic function and diabetes
- Keywords
- QUICKI, insulin sensitivity, insulin resistance, fasting insulin, fasting blood glucose, glucose clamp, minimal model analysis, type 2 diabetes, obesity, insulin resistance index
- MeSH terms
- Adult, Blood Glucose, Diabetes Mellitus, Female, Glucose Tolerance Test, Humans, Insulin, Insulin Resistance, Male, Middle Aged, Models, Biological, Obesity, Glucose Clamp Technique
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
A language model drew the claims from the paper on 2026-10-11, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-10-11 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
Cited sources are checked with a language model’s help (gpt-6-sol).
Statistics and arithmetic are recomputed, not judged.
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