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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“Nevertheless, the authors disclose that QUICKI has limitations as the difficulty in applying it to type 1 diabetic individuals (without endogenous insulin secretion) or in patients with type 1 or type 2 decompensated diabetes (Katz et al., 2000).”
BackgroundYousuf, S. D., Ganie, M. A., Urwat, U., Ahmad, S. M., Zargar, M. A., Dar, M. A., Manzoor-ul-Rehman, M., Mudassar, S., & Rashid, F. (2023) · BMC Women s Health · doi:10.1186/s12905-023-02187-5 · Cited by 21
“Increased HOMA-IR, decreased QUICKI and decreased FGIR scores denote insulin resistance or reduced insulin sensitivity [29, 30].”
BackgroundJurado‐Fasoli, L., Osuna‐Prieto, F. J., Yang, W., Köhler, I., Di, X., Rensen, P. C. N., Castillo, M. J., Martínez‐Téllez, B., & Amaro‐Gahete, F. J. (2023) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2023.109331 · Cited by 21
Ziaei, R., Shahshahan, Z., Tehrani, H. G., Heidari, Z., Campbell, M. S., & Ghiasvand, R. (2023) · Food Science & Nutrition · doi:10.1002/fsn3.3899 · Cited by 23
“For assess - ing the degree of insulin sensitivity, the QUICKI was determined using the following formula: 1/(log fasting glucose + log fasting in - sulin) (Katz et al., 2000 ).”
MethodReis‐Barbosa, P. H., Marcondes‐de‐Castro, I. A., Marinho, T. D. S., Águila, M. B., & Mandarim‐de‐Lacerda, C. A. (2024) · Diabetes Obesity and Metabolism · doi:10.1111/dom.15820 · Cited by 21
Corgosinho, F. C., Ackel-D’Elia, C., Tufik, S. B., Dâmaso, A. R., de Piano, A., Sanches, P. D. L., Campos, R. M. D. S., da Silva, P. L., Carnier, J., Tock, L., et al. (2015) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2014.0110 · Cited by 20
Measurement of insulin action: a tribute to Sir Harold Himsworth
Kim, S. H. (2011) · Diabetic Medicine · doi:10.1111/j.1464-5491.2011.03409.x · Cited by 21
Werner, M., Tönjes, A., Stümvoll, M., Thiery, J., & Kratzsch, J. (2007) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm.2008.020 · Cited by 19
“calculated as 1/wlog FI (mU/mL)qlog FG (mg/dL)x (18).”
BackgroundEffects of simvastatin therapy on circulating adipocytokines in patients with hypercholesterolemia
Koh, K. K., Quon, M. J., Sakuma, I., Lee, Y., Lim, S. K., Han, S. H., & Shin, E. K. (2010) · International Journal of Cardiology · doi:10.1016/j.ijcard.2010.10.103 · Cited by 20
Self-citationExpanding the indication spectrum: renal denervation in diabetes
Mahfoud, F., Ewen, S., Ukena, C., Linz, D., Sobotka, P. A., Cremers, B., & Böhm, M. (2013) · EuroIntervention · doi:10.4244/eijv9sra20 · Cited by 19
Park, S. Y., Cho, Y. J., Lee, S. R., et al. (2015) · Yonsei Medical Journal · doi:10.3349/ymj.2015.56.3.785 · Cited by 20
Lee, Y. S., Kek, B. L. K., Poh, L. K. S., Saw, S., & Loke, K. Y. (2008) · Journal of Pediatric Gastroenterology and Nutrition · doi:10.1097/mpg.0b013e318162a0e5 · Cited by 20
“Subjects with elevated liver enzymes had significantly higher indices of insulin resistance (QUICKI, HOMA, fasting insulin, and C-peptide), higher triglycerides, and increased waist–hip ratio (Table 2).”
MethodInfluentialKim, S., Lee, H., Lee, D., Lee, H. S., & Lee, J. (2013) · Metabolism · doi:10.1016/j.metabol.2013.11.015 · Cited by 20
“[23] Katz A, Nambi SS, Mather K, et al.”
BackgroundMethodSmart, M., Dedoussis, G. V., Yiannakouris, N., Grisoni, M.-L., Ken‐Dror, G., Yannakoulia, M., Papoutsakis, C., Louizou, E., Mantzoros, C. S., Melistas, L., et al. (2010) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2009.12.004 · Cited by 20
“QUICKI estimates have been shown to be lower in those who are overweight and diabetic when compared to nonobese and non-diabetic individulas [22].”
BackgroundKoiou, E., Τζιόμαλος, Κ., Katsikis, I., Delkos, D., Tsourdi, E. A., & Panidis, D. (2013) · HORMONES · doi:10.14310/horm.2002.1444 · Cited by 20
“The Quantitative insulin sensitivity check index (QUICKI) was calculated as follows: QUICKI=1 / [logInsulin (μIU/ml) + logGlucose (mg/dl)].(19)”
MethodMoura, F. A., de Carvalho, L. S. F., Cintra, R. M. R., Martins, N. V. G., Figueiredo, V. N., Silva, J. C. Q. E., Almeida, O. L. R., Coelho, O. R., & Sposito, A. C. (2013) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00566.2013 · Cited by 20
Todoric, J., Handisurya, A., Perkmann, T., Knapp, B., Wagner, O. F., Tura, A., Pacini, G., Esterbauer, H., & Kautzky‐Willer, A. (2012) · European Journal of Endocrinology · doi:10.1530/eje-12-0060 · Cited by 20
Krivošíková, Z., Gajdoš, M., & Šebeková, K. (2015) · PLoS ONE · doi:10.1371/journal.pone.0131753 · Cited by 20
“In non-diabetic medication-free adults central obesity (waist-to-height ratio > 0.5); elevated blood pressure (systolic BP 130 mm Hg and/or diastolic BP 85 mm Hg); increased atherogenic risk (log(TAG/HDL) 0.11); and insulin resistance (QUICKI < 0.322) were considered as cardiometabolic risk factors.”
MethodInfluentialDesign and Synthesis of Pyridazine Containing Compounds with Promising Anticancer Activity
Elmeligie, S. E., Ahmed, E. M., Abuel‐Maaty, S. M., Zaitone, S. A., & Mikhail, D. S. (2017) · Chemical and Pharmaceutical Bulletin · doi:10.1248/cpb.c16-00532 · Cited by 20
Healthy eating index and cardiovascular risk factors among Iranian elderly individuals.
Fard, N. R. P., Karimi, M., Saraf‐Bank, S., Baghaei, M. H., Haghighatdoost, F., & Azadbakht, L. (2017) · Europe PMC (PubMed Central) · Cited by 20
Sullivan, S. D., Nash, M. S., Tefara, E., Tinsley, E. A., & Groah, S. L. (2017) · PM&R · doi:10.1016/j.pmrj.2017.08.404 · Cited by 21
“Quantitative Insulin sensitivity Check Index (QUICKI), a validated estimate of insulin sensitivity, was calculated using the formula: 1/[log (fasting insulin) þ (log fasting glucose)] [29].”
MethodMicroRNA‑802 increases hepatic oxidative stress and induces insulin resistance in high‑fat fed mice
Yang, X., Xing, H., Liu, J., Yang, L., Ma, H., & Ma, H. (2019) · Molecular Medicine Reports · doi:10.3892/mmr.2019.10347 · Cited by 20
“The QuicKi method is a mathematical model that correlates well with the ‘gold standard’ in ir assays, the euglycemic clamp (14) and mice or rats with ir tend to have lower QuicKi or insulin sensitivity values.”
MethodL-glutamine ameliorates adipose-hepatic dysmetabolism in OC-treated female rats
Olaniyi, K. S., & Olatunji, L. A. (2020) · Journal of Endocrinology · doi:10.1530/joe-19-0582 · Cited by 20
Vieira-Neto, A., Zimpel, R., Lopes, F. R., Scheffler, T. L., Block, E., Thatcher, W. W., & Santos, J. E. P. (2020) · Journal of Dairy Science · doi:10.3168/jds.2020-18787 · Cited by 20
“Indices such as the QUICKI and RQUICKI have been proposed to determine insulin resistance in humans (Katz et al., 2000).”
BackgroundGoulet, E. D. B., Lord, C., Chaput, J., Aubertin‐Leheudre, M., Brochu, M., & Dionne, I. J. (2007) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/h07-005 · Cited by 23
“where insulin level is measured in mU/mL, and glucose level is measured in mg/dL (Katz et al. 2000).”
BackgroundResultInteractions of Glucose Metabolism and Chronic Heart Failure
Clodi, M., Resl, M., Stelzeneder, D., Pacini, G., Tura, A., Mörtl, D., Struck, J., Morgenthaler, N. G., Bergmann, A., Riedl, M., et al. (2008) · Experimental and Clinical Endocrinology & Diabetes · doi:10.1055/s-2008-1081211 · Cited by 19
Karne, R. J., Chen, H., & Quon, M. J. (2004) · Diabetes Care · doi:10.2337/diacare.27.5.1247-a · Cited by 20
Self-citationInuit anthropometry and insulin resistance
Charbonneau, G., Young, K., & Egeland, G. M. (2007) · International Journal of Circumpolar Health · doi:10.3402/ijch.v66i2.18242 · Cited by 20
“Derived indices of insulin action The homeostasis model assessment for insulin resistance (IRHOMA) based on fasting insulin and glucose values and the insulin sensitivity index at 0 and 120 minutes (ISI0,120) were calculated (12-14).”
MethodVoruganti, V. S., Cai, G., Klohe-Lehman, D. M., Jordan, K. C., Lane, M. A., & FREELAND-GRAVES, J. H. (2010) · Journal of Trace Elements in Medicine and Biology · doi:10.1016/j.jtemb.2010.05.001 · Cited by 20
Liang, G., Cai, Q., Niu, Y.-M., Zheng, H., Gao, Z., Liu, D., & Xu, G. (2008) · Experimental Biology and Medicine · doi:10.3181/0801-rm-33 · Cited by 20
“In order to exclude the influence from blood dilution, blood glucose values were normalized with hematocrit (Hct) with the formula: prebypass Hct/sample Hct (18).”
MethodInsulin sensitivity in growth hormone‐deficient children: influence of replacement treatment
Radetti, G., Pasquino, B., Gottardi, E., Contadin, I. B., Rigon, F., & Aimaretti, G. (2004) · Clinical Endocrinology · doi:10.1111/j.1365-2265.2004.02113.x · Cited by 19
Pareyn, A., Allegaert, K., Verhamme, P. B., Vinckx, J., & Casteels, K. (2014) · Pediatric Diabetes · doi:10.1111/pedi.12139 · Cited by 20
“QUICKI was derived by calculating the inverse of the sum of logarithmically expressed fasting glucose (in mg/dL) and insulin concentrations (in mU/L) (12).”
MethodGhosh, C., Mukhopadhyay, P., Ghosh, S., et al. (2015) · Scientific Reports · doi:10.1038/srep11959 · Cited by 20
Postprandial response of trans fatty acids in prepubertal obese children
Larqué, E., Gil‐Campos, M., Ramírez-Tortosa, M. C., Linde, J., Cañete, R., & Gil, Á. (2006) · International Journal of Obesity · doi:10.1038/sj.ijo.0803403 · Cited by 20
Impact of antiretroviral therapy on visfatin and retinol‐binding protein 4 in HIV‐infected subjects
Schindler, K., Haider, D. G., Wolzt, M., Rieger, A., Gmeinhart, B., Luger, A., Nowotny, P., & Ludvik, B. H. (2006) · European Journal of Clinical Investigation · doi:10.1111/j.1365-2362.2006.01699.x · Cited by 20
Insulin Resistance in Type 2 Diabetes
Roden, M., Petersen, K. F., & Shulman, G. I. (2016) · Wiley eBooks · doi:10.1002/9781118924853.ch13 · Cited by 20
Lu, J., Ni, J., Su, H., He, X., Lu, W., Zhu, W., Wang, Y., Ma, X., Bao, Y., & Zhou, J. (2024) · Diabetes · doi:10.2337/db24-0652 · Cited by 19
Dairy consumption, cardiovascular risk factors and inflammation in elderly subjects.
Fard, N. R. P., Karimi, M., Baghaei, M. H., Haghighatdoost, F., Rouhani, M. H., Esmaillzadeh, A., & Azadbakht, L. (2015) · PubMed Central · Cited by 19
Cree‐Green, M., Cai, N. M., Thurston, J. E., Coe, G. V., Newnes, L., Garcia‐Reyes, Y., Baumgartner, A., Pyle, L. L., & Nadeau, K. J. (2018) · Pediatric Diabetes · doi:10.1111/pedi.12778 · Cited by 19
Kotzaeridi, G., Blätter, J., Eppel, D., Rosicky, I., Falcone, V., Adamczyk, G., Linder, T., Yerlikaya‐Schatten, G., Weißhaupt, K., Henrich, W., et al. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10204794 · Cited by 19
“The degree of insulin sensitivity was assessed by the quantitative insulin sensitivity check index calculated from insulin (QUICKIi) and C-peptide (QUICKIc) [11].”
MethodYi, W., Keun-young Kim, A., Im, M., Ryang, S., Kim, E. H., Kim, M., Jeon, Y. K., Kim, S. S., Kim, B. H., Pak, K., et al. (2022) · Scientific Reports · doi:10.1038/s41598-021-04402-5 · Cited by 21
Pulsatile Basal Insulin Secretion Is Driven by Glycolytic Oscillations
Fletcher, P. A., Marinelli, I., Bertram, R., Satin, L. S., & Sherman, A. (2022) · Physiology · doi:10.1152/physiol.00044.2021 · Cited by 19
“It occurs years before basal glucose increases and is a marker of insulin resistance, as embodied in the widely used indexes homeostatic model assessment for insulin resistance (HOMAIR) and quantitative insulin-sensitivity check index (QUICKI) (46, 47).”
MethodOda, T., Satoh, M., Nagasawa, K., et al. (2022) · Diabetes Therapy · doi:10.1007/s13300-022-01298-w · Cited by 19
“In addition to basic research, clinical treatment with imeglimin for 24 weeks was reported to have significantly altered the Quantitative Insulin Sensitivity Check Index (QUICKI) values [8], an indicator of insulin sensitivity [18].”
BackgroundInsulin Resistance and Diabetes Mellitus in Patients with Systemic Lupus Erythematosus
García‐Carrasco, M., Pinto, C. M., Munguía‐Realpozo, P., Etchegaray‐Morales, I., Vélez-Pelcastre, S. K., Méndez‐Martínez, S., Zamora‐Ginez, I., de Lara, L. G. V., Gálvez-Romero, J. L., & Escamilla-Márquez, M. A. (2022) · Endocrine Metabolic & Immune Disorders - Drug Targets · doi:10.2174/1871530322666220908154253 · Cited by 20
Lecorguillé, M., Mcauliffe, F., Twomey, P., Viljoen, K., Mehegan, J., Kelleher, C., Suderman, M., & Phillips, C. (2022) · Journal of Clinical Endocrinology and Metabolism · doi:10.1210/clinem/dgac553 · Cited by 14
Mazza, E. A., Calesella, F., Paolini, M., Pasquasio, C. D., Poletti, S., Lorenzi, C., Falini, A., Zanardi, R., Colombo, C., & Benedetti, F. (2022) · Bipolar Disorders · doi:10.1111/bdi.13270 · Cited by 19
Shen, F., Lin, H. Y., Tsai, W., Kuo, I., Chen, Y.-K., Chao, Y.-L., Niu, S., Hung, C., & Chang, J. (2023) · Frontiers in Nutrition · doi:10.3389/fnut.2023.1136284 · Cited by 21
“Alternative methods of IR measurement include insulin-based approaches, such as homeostasis model assessment of IR (HOMA-IR) (17) and the quantitative insulin sensitivity check index (18), and non-insulin-based approaches, such as the triglyceride (TG)–glucose (TyG) index (19), TyG–body mass index (BMI) (20), TG-to-hi…”
MethodLytrivi, M., Cauduro, C. G. D. S., Kibanda, J., Kristanto, P., Paesmans, M., & Cnop, M. (2023) · American Journal of Clinical Nutrition · doi:10.1016/j.ajcnut.2023.07.018 · Cited by 20
Zeng, M., Hodges, J. K., Pokala, A., Khalafi, M., Sasaki, G. Y., Pierson, J. T., Cao, S., Brock, G. N., Yu, Z., Zhu, J., et al. (2024) · Nutrition Research · doi:10.1016/j.nutres.2024.02.001 · Cited by 20
Insulin Resistance and Impaired Glucose Tolerance in Overweight and Obese Costa Rican Schoolchildren
Holst-Schumacher, I. I., Núñez-Rivas, H. P., Monge‐Rojas, R., & Barrantes-Santamaría, M. (2008) · Food and Nutrition Bulletin · doi:10.1177/156482650802900206 · Cited by 19
“5), QUICKI (1/log fasting insulin [mIU/L] + log fasting glucose [mg/dL]), and FGIR (fasting glucose [mg/dL]/fasting insulin [mIU/L]) [11, 17, 18].”
BackgroundPark, M. H., Nam, Y. H., & Han, J.-S. (2015) · Nutrition Research and Practice · doi:10.4162/nrp.2015.9.5.472 · Cited by 19
“(1): HOMA-IR = [fasting glucose (mmol/L) × fasting insulin (IU/mL)]/22.51 QUICKI was derived by using the inverse of the sum of the logarithms of fasting insulin and fasting glucose as follows: Eq.”
MethodInfluentialInsulin resistance and levels of adipokines in patients with untreated early rheumatoid arthritis
Arija, S. M., Garnica, I. U., Valdivielso, P., Rioja, J., Jiménez-Núñez, F. G., Irigoyen, M. V., & Fernández‐Nebro, A. (2015) · Clinical Rheumatology · doi:10.1007/s10067-015-3106-8 · Cited by 22
“According to these analysis models, both total fat and symptom duration were the only predictors of the HOMA-IR, HOMA-β, and QUICKI scores.”
BackgroundMethodInfluentialPrevalence of diabetes and pre‐diabetes in a cohort of Italian young adults with Williams syndrome
Masserini, B., Bedeschi, M. F., Bianchi, V., Scuvera, G., Beck‐Peccoz, P., Lalatta, F., Selicorni, A., & Orsi, E. (2013) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.35655 · Cited by 19
“…state with HOMA-IR¼ FI(mU/L) FG(mmol/L)/22.5 [Matthews et al., 1985], and Quantitative Insulin Check Index (QUICKI)¼ 1/[log FG (mg/dl)þ log FI (mU/L)] [Katz et al., 2000] and during OGTT with composite insulin sensitivity index [ISI¼ 10,000/square root of (FG FI) (mean glucose mean insulin during…”
BackgroundInfluentialУчасова, Е. Г., Gruzdeva, O. V., Dyleva, Y. A., et al. (2013) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s37830 · Cited by 19
“007 correlate with moderate and intensive IR.(11)”
InfluentialHan, S. H., Chung, W., Kang, W. C., Lee, K., Park, Y. M., Shin, M., Ahn, T. H., Choi, I. S., & Shin, E. K. (2011) · International Journal of Cardiology · doi:10.1016/j.ijcard.2011.01.030 · Cited by 18
The susceptibility of three strains of Chinese minipigs to diet-induced type 2 diabetes mellitus
Chen, H., Liu, Y., Li, C., Guo, X.-M., & Huang, L. (2009) · Lab Animal · doi:10.1038/laban1109-355 · Cited by 18
Innate Small Babies Are Metabolically Healthy Children
Milovanovic, I., Njuieyon, F., Deghmoun, S., Chevenne, D., Lévy‐Marchal, C., & Beltrand, J. (2012) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2012-1993 · Cited by 19
Panidis, D., Τζιόμαλος, Κ., Μacut, D., Kandaraki, E., Tsourdi, E. A., Papadakis, E. P., & Katsikis, I. (2013) · Gynecological Endocrinology · doi:10.3109/09513590.2013.819079 · Cited by 18
“This finding is in agreement with a smaller study (n1⁄4 493) [24] but contrasts another small study (n1⁄4 207), where normal weight women with PCOS showed a higher prevalence of MetS than”
MethodResultβ‐Cell Function and Insulin Sensitivity in Adolescents From an OGTT
Sunehag, A. L., Man, C. D., TOFFOLO, G. M., Haymond, M. W., Bier, D. M., & Cobelli, C. (2008) · Obesity · doi:10.1038/oby.2008.496 · Cited by 19
Association of estrogen receptor alpha gene polymorphisms with metabolic syndrome in Egyptian women.
Ghattas, M., Mehanna, E., Mesbah, N., & Abo-elmatty, D. (2013) · Metabolism: Clinical and Experimental · doi:10.1016/j.metabol.2013.05.014 · Cited by 20
“of insulin resistance (HOMA-IR) [16] and the quantitative insulin sensitivity check index (QUICKI) [17] were calculated.”
BackgroundMethodPro12Ala PPAR γ2 gene polymorphism in PCOS women: the role of compounds regulating satiety
Bidzińska−Speichert, B., Lenarcik, A., Tworowska-Bardzińska, U., et al. (2011) · Gynecological Endocrinology · doi:10.3109/09513590.2011.593670 · Cited by 19
“The neuropeptide galanin is involved in the control of fat intake [4,5,19] and insulin secretion [6,20].”
BackgroundYılmaz, M., Yurtçu, E., Demirci, H., Ergün, M. A., Ersoy, R., Karakoç, A., Yetkin, İ., Çakır, N., Ayvaz, G., & Arslan, M. (2009) · Journal of Endocrinological Investigation · doi:10.1007/bf03345671 · Cited by 19
Protein Intake as a Risk Factor of Overweight/Obesity in 8– to 12–Year-Old Children
Bibiloni, M. D. M., Tur, J. A., Morandi, A., et al. (2015) · Medicine · doi:10.1097/md.0000000000002408 · Cited by 19
Metabolic safety of the etonogestrel contraceptive implant in healthy women over a 3-year period
Villas-Boas, J., Vilodre, L. C. F., Malerba, H., Salcedo, M. P., Jiménez, M. F., & Beitune, P. E. (2016) · European Journal of Obstetrics & Gynecology and Reproductive Biology · doi:10.1016/j.ejogrb.2016.04.025 · Cited by 18
Impact of body fat percentage change on future diabetes in subjects with normal glucose tolerance
Zhao, T., Lin, Z., Zhu, H., Wang, C., & Jia, W. (2017) · IUBMB Life · doi:10.1002/iub.1693 · Cited by 19
“sensitivity check index (QUICKI) 5 1/(log [FINS] 1 log [FPG]) (21).”
Four Plasma Glucose and Insulin Responses to a 75 g OGTT in Healthy Young Japanese Women
Takahashi, K., Nakamura, H., Sato, H., Matsuda, H., Takada, K., & Tsuji, T. (2018) · Journal of Diabetes Research · doi:10.1155/2018/5742497 · Cited by 19
“HOMA-IR, HOMA-β, II, and QUICKI were calculated using the following formulas: insulin0× glucose0/405, insulin0× 360/(glucose0− 63), Δinsulin30/Δglucose30, and 1/[log(insulin0) + log(glucose0)], respectively, with insulin expressed in μU/mL and glucose in mg/dL.”
MethodInfluentialQuatrin, A., Conte, L., da Silva, D. T., Figueiredo, C. G., Somacal, S., Roehrs, M., Teixeira, C. F., Barbisan, F., Augusti, P. R., Maróstica, M. R., et al. (2018) · Journal of Nutrition and Metabolism · doi:10.1155/2018/9794629 · Cited by 19
“,is lowest dose of JPP improved insulin signalling as indicated by the increased insulin sensitivity (QUICKI) and decreased insulin resistance (FIRI).”
MethodInfluentialKuhlman, A. B., Morville, T. H., Dohlmann, T. L., Hansen, M., Kelly, B., Helge, J. W., & Dela, F. (2018) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2018-0488 · Cited by 19
“2004) and HOMA2-%S (insulin sensitivity expressed as the reciprocal of HOMA2-IR) and indices for β-cell function: HOMA2-%B (calculated on C-peptide concentrations) and QUICKI (quantitative insulin sensitivity check index) (Katz et al. 2000) were calculated from the OGTT and basal blood samples.”
MethodMortensen, L. J., Lorenzen, M., Jørgensen, N., Andersson, A., Nielsen, J. E., Petersen, L. I., Lanske, B., Juul, A., Hansen, J. B., & Jensen, M. B. (2019) · Bone · doi:10.1016/j.bone.2019.03.022 · Cited by 20
Deng, Y., Xue, W., Wang, Y., Liu, X., Zhu, S., Ma, X., Zuo, H., Jiang, J., Zheng, T.-P., & Sun, A. (2019) · Chinese Journal of Integrative Medicine · doi:10.1007/s11655-018-2947-1 · Cited by 19
Lim, S. K., Ku, E. J., Lee, S. Y., Lee, J. H., Lee, J.-E., Kim, K. M., & Davies, M. J. (2020) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2019-000807 · Cited by 19
Yuan, T., Liu, S., Dong, Y., Fu, Y., Tang, Y., & Zhao, W. (2020) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-020-00600-9 · Cited by 19
Ehehalt, F., Sturm, D., Rösler, M., Distler, M., Weitz, J., Kersting, S., Ludwig, B., Schwanebeck, U., Saeger, H., Solimena, M., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0134140 · Cited by 21
“β-cell function was estimated using the homeostatic model assessment of β-cell function (HOMA-B) index [19,20].”
MethodRelationship Between Lipid Abnormalities and Insulin Resistance in Japanese School Children
Asato, Y., Katsuren, K., Ohshiro, T., Kikawa, K., Shimabukuro, T., & Ohta, T. (2006) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/01.atv.0000245804.56871.31 · Cited by 19
Barac, A., Campia, U., Matuskey, L. A., Li, L., & Panza, J. A. (2008) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2007.11.058 · Cited by 18
Roden, M., Mariz, S., Brazzale, A. R., & Pacini, G. (2008) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2008.02040.x · Cited by 19
Gómez‐Ambrosi, J., Pastor, C., Salvador, J., Silva, C., Rotellar, F., Gil, M. J. C., Catalán, V., Rodrı́guez, A., Cienfuegos, J. A., & Frühbeck, G. (2007) · Obesity Surgery · doi:10.1007/s11695-007-9101-7 · Cited by 19
Meng, C., Sun, M., Wang, Z., et al. (2013) · Journal of Diabetes Research · doi:10.1155/2013/151675 · Cited by 19
“A 75 g OGTT was performed with plasma glucose sampling done at 0, 30, and 120min.”
MethodInfluentialDokras, A., Spaczyński, R., Behrman, H. R., & Dulęba, A. J. (2003) · Fertility and Sterility · doi:10.1016/s0015-0282(02)04764-7 · Cited by 19
Kempa, A., Krzyzanowska-Świniarska, B., Miazgowski, T., & Pilarska, K. (2007) · Journal of Endocrinological Investigation · doi:10.1007/bf03347446 · Cited by 17
Perseghin, G., Caumo, A., Sereni, L. P., Battezzati, A., & Luzi, L. (2002) · Diabetes Care · doi:10.2337/diacare.25.12.2207 · Cited by 19
Association of MicroRNA-146a rs2910164 Gene Polymorphism with Metabolic Syndrome
Et, M., Ghattas, M. H., Mesbah, N. M., Sm, S., & Abo–Elmatty, D. M. (2015) · Folia Biologica · doi:10.14712/fb2015061010043 · Cited by 20
“Phone: (+2) 010- 26671785; Fax: (+2) 0643230741; e-mail: emanmehanna22@ yahoo.com Abbreviations: ANOVA – analysis of variance, BMI – body mass index, CAD – coronary artery diseases, FBG – fasting blood glucose, HDL-C – high-density lipoprotein cholesterol, HOMA-IR – homeostasis model assessment of insulin resistance,…”
BackgroundMethodInfluentialAssessing progression to impaired glucose tolerance and type 2 diabetes mellitus
Guerrero‐Romero, F., & Rodríguez‐Morán, M. (2006) · European Journal of Clinical Investigation · doi:10.1111/j.1365-2362.2006.01728.x · Cited by 19
beta3-Adrenergic receptor polymorphism and metabolic syndrome in postmenopausal women
Dunajska, K., Lwow, F., Milewicz, A., et al. (2008) · Gynecological Endocrinology · doi:10.1080/09513590801921686 · Cited by 19
“Based on the serum insulin and glucose levels, the quantitative insulin sensitivity check index was calculated as: QUICKI 1⁄4 1/[log I (mIU/ml)þ log G (mg/dl)], where I is insulin level and G is glucose level [27].”
MethodKo, J. M., Park, H. K., Yang, S., & Hwang, I. T. (2012) · Endocrine Journal · doi:10.1507/endocrj.ej12-0080 · Cited by 19
Katakura, M., Komatsu, M., Sato, Y., Hashizume, K., & Aizawa, T. (2004) · Metabolism · doi:10.1016/j.metabol.2004.02.024 · Cited by 19
Diabetogenic effect of tacrolimus in South African patients undergoing kidney transplantation1
Panz, V. R., Bonegio, R. G. B., Raal, F. J., et al. (2002) · Transplantation · doi:10.1097/00007890-200202270-00019 · Cited by 19
Koika, V., Georgopoulos, N. A., Piouka, A., Roupas, N. D., Karela, A., Armeni, A. K., Katsantoni, E. Z., & Panidis, D. (2012) · European Journal of Endocrinology · doi:10.1530/eje-11-0894 · Cited by 18
Mellor‐Pita, S., Yebra‐Bango, M., Martínez, J. J. A., & Suarez, E. (2002) · Clinical Infectious Diseases · doi:10.1086/323747 · Cited by 19
“The insulin sensitivity score, as determined by use of the Quantitative Insulin Sensitivity Check Index [4] was 0.25, which indicates high insulin resistance.”
MethodInfluentialLeonetti, F., Iacobellis, G., Zappaterreno, A., Ribaudo, M. C., Tiberti, C., Vecci, E., & Mario, U. D. (2004) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/s0939-4753(04)80027-9 · Cited by 20
Modelling and control of hyperglycemia in critical care patients
Doran, C. V. (2004) · UC Research Repository (University of Canterbury) · doi:10.26021/2983 · Cited by 20
Cardiometabolic risk assessment by anthropometric and biochemical indices in mexican population
Quirino-Vela, L. M., Mayoral-Chávez, M. A., Pérez-Cervera, Y., Idelfonso-García, O. G., Cruz-Altamirano, E., Ruiz-García, M., & Alpuche, J. J. (2025) · Frontiers in Endocrinology · doi:10.3389/fendo.2025.1588469 · Cited by 22
Gibson, C. D., Atalayer, D., Flancbaum, L., & Geliebter, A. (2012) · PubMed · Cited by 18
Metadata
- Authors
- Katz, A., Nambi, S. S., Mather, K., Baron, A. D., Follmann, D. A., Sullivan, G., & Quon, M. J.
- Affiliations
- National Institutes of Health (US)
- Indiana University Indianapolis (US)
- Venue
- The Journal of Clinical Endocrinology & Metabolism
- Publisher
- The Endocrine Society
- Published
- 2000-07-01
- Volume
- 85
- Issue
- 7
- Pages
- 2402-2410
- ISSN
- 0021-972X (ISSN-L)
- 1945-7197
- OpenAlex
- W2126327417
- Cited by
- 3,931
- References
- 48
- Citations by year
- 2026: 97 · 2025: 129 · 2024: 142 · 2023: 174 · 2022: 188 · 2021: 173 · 2020: 184 · 2019: 145 · 2018: 153 · 2017: 174 · 2016: 170 · 2015: 164 · 2014: 184 · 2013: 219 · 2012: 169
- FWCI
- 33.24
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Journal of Clinical Endocrinology & Metabolism (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Heart, Lung, and Blood Institute
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Pancreatic function and diabetes
- Keywords
- QUICKI, insulin sensitivity, insulin resistance, fasting insulin, fasting blood glucose, glucose clamp, minimal model analysis, type 2 diabetes, obesity, insulin resistance index
- MeSH terms
- Adult, Blood Glucose, Diabetes Mellitus, Female, Glucose Tolerance Test, Humans, Insulin, Insulin Resistance, Male, Middle Aged, Models, Biological, Obesity, Glucose Clamp Technique
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
A language model drew the claims from the paper on 2026-10-11, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-10-11 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
Cited sources are checked with a language model’s help (gpt-6-sol).
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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