The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index; 3 of the 17 sources its claims cite were checked for support.
Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans
Abstract
Insulin resistance plays an important role in the pathophysiology of diabetes and is associated with obesity and other cardiovascular risk factors. The "gold standard" glucose clamp and minimal model analysis are two established methods for determining insulin sensitivity in vivo, but neither is easily implemented in large studies. Thus, it is of interest to develop a simple, accurate method for assessing insulin sensitivity that is useful for clinical investigations. We performed both hyperinsulinemic isoglycemic glucose clamp and insulin-modified frequently sampled iv glucose tolerance tests on 28 nonobese, 13 obese, and 15 type 2 diabetic subjects. We obtained correlations between indexes of insulin sensitivity from glucose clamp studies (SI(Clamp)) and minimal model analysis (SI(MM)) that were comparable to previous reports (r = 0.57). We performed a sensitivity analysis on our data and discovered that physiological steady state values [i.e. fasting insulin (I(0)) and glucose (G(0))] contain critical information about insulin sensitivity. We defined a quantitative insulin sensitivity check index (QUICKI = 1/[log(I(0)) + log(G(0))]) that has substantially better correlation with SI(Clamp) (r = 0.78) than the correlation we observed between SI(MM) and SI(Clamp). Moreover, we observed a comparable overall correlation between QUICKI and SI(Clamp) in a totally independent group of 21 obese and 14 nonobese subjects from another institution. We conclude that QUICKI is an index of insulin sensitivity obtained from a fasting blood sample that may be useful for clinical research.
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3 of 17 cited sources checked · 2 supported · 0 flagged · accuracy not yet measured
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“A well accepted alternative for estimating insulin sensitivity involves minimal model analysis of a frequently sampled iv glucose tolerance test (FSIVGTT) (9 -11).”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > I NSULIN IS
What the sources say
- Supportedcites [9] Bergman, 1987, Equivalence of the insulin sensitivity index in man derived by the minimal model method and the euglycemic glucose clamp., J Clin Invest source
The Introduction describes minimal-model analysis of a frequently sampled intravenous glucose tolerance test as an alternative to the glucose clamp. The Discussion reports that it yielded an equivalent measure of insulin sensitivity in the study, while noting that wider validation would be needed before recommending general use. (LLM, conf=0.90)
- Not checked — no full text of the sourcecites [10] 1989, Lilly lecture 1989. Toward physiological understanding of glucose tolerance. Minimal-model approach., Diabetes source
- Not checked — no full text of the sourcecites [11] Saad, 1997, Differences between the tolbutamide-boosted and the insulin-modified minimal model protocols., Diabetes source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Supported
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Moreover, we observed a comparable overall correlation between QUICKI and SI Clamp in a totally independent group of 21 obese and 14 nonobese subjects from another institution.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Thus, as expected, the obese and diabetic subjects were significantly more insulin resistant than the nonobese subjects (P Ͻ 2 ϫ 10 Ϫ5 ).”
- Also stated in: § Glucose clamp and minimal model estimates of insulin sensitivity · plain
“As expected, when subjects were evaluated with the gold standard glucose clamp method, obese subjects were more insulin resistant, on the average, than nonobese subjects, and diabetics were the most insulin-resistant group.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Glucose clamp studies
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Also stated in: § Glucose clamp and minimal model estimates of insulin sensitivity · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We performed a sensitivity analysis on our data and discovered that physiological steady state values [i.e.fasting insulin (I 0 ) and glucose (G 0 )] contain critical information about insulin sensitivity.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In addition, the linear regression analysis of the subgroups corresponded more closely to the overall regression line when comparing QUICKI and SI Clamp .”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > QUICKI
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesThe paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“In addition, QUICKI derived from the average results of two fasting blood samples (over 10 min) was similar to QUICKI calculated from a single sample.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > QUICKI
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Interestingly, we found that the product of fasting insulin and glucose yielded an index of insulin sensitivity that was applicable to both dia-betic and nondiabetic subjects.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > QUICKI
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The basal glucose levels in the diabetic group were significantly elevated compared with those in the other groups (166 Ϯ 15 mg/dL; P Ͻ 4 ϫ 10 Ϫ5 ).”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Insulin-modified FSIVGTT studies
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Note that in contrast to the minimal model-derived SI MM , we were able to calculate meaningful values of QUICKI for all diabetic subjects studied.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Correlations between indexes of insulin sensitivity
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“QUICKI was calculated for all study subjects (mean, 0.382 Ϯ 0.007, 0.331 Ϯ 0.010, and 0.304 Ϯ 0.007 for nonobese, obese, and diabetic subjects, respectively).”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > QUICKI
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes
- Probably not a substantial claim. 6
- It may state two separate claims as one. 15
- The quote only partly states this claim. 2
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“Alternatively, periodic oscillations in insulin secretion (both ultradian and 10-to 15-min periods) have been reported in healthy subjects and may also contribute to the weaker correlation in this subgroup (21,22).”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > QUICKI
What the sources say
- Not checked — no full text of the sourcecites [21] Polonsky, 1998, Temporal profiles and clinical significance of pulsatile insulin secretion., Horm Res source
- Supportedcites [22] Polonsky, 1988, Twenty-four-hour profiles and pulsatile patterns of insulin secretion in normal and obese subjects., J Clin Invest source
The Discussion ('O Normal') describes rapid insulin pulsations in the 10–14-minute range and slower ultradian oscillations of 1–3 hours. It presents the slower oscillations in normal subjects as a finding of this study and reports the rapid pulsations from earlier studies, supporting the claim that both have been reported in healthy subjects. (LLM, conf=0.93)
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Alternatively, periodic oscillations in insulin secretion (both ultradian and 10-to 15-min periods) have been reported in healthy subjects and may also contribute to the weaker correlation in this subgroup (21,22).”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > QUICKI
What the sources say
- Not checked — no full text of the sourcecites [21] Polonsky, 1998, Temporal profiles and clinical significance of pulsatile insulin secretion., Horm Res source
- Partly supportedcites [22] Polonsky, 1988, Twenty-four-hour profiles and pulsatile patterns of insulin secretion in normal and obese subjects., J Clin Invest sourceExperimental — accuracy not yet measured
The discussion (section “O Normal”; page not provided) reports ultradian insulin-secretion oscillations in normal subjects and describes rapid 10–14-minute pulsations. It does not examine QUICKI, clamp-derived insulin sensitivity, or whether oscillations weaken the correlation between them in a nonobese subgroup. (LLM, conf=0.86)
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We obtained correlations between indexes of insulin sensitivity from glucose clamp studies (SI Clamp ) and minimal model analysis (SI MM ) that were com-parable to previous reports (r ϭ 0.57).”
- Also stated in: § Correlations between indexes of insulin sensitivity · plain
“The overall correlation coefficient (r) calculated from a linear least squares regression was 0.57 (P Ͻ 2 ϫ 10 Ϫ5 ).”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Abstract
Tests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Also stated in: § Correlations between indexes of insulin sensitivity · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, linear regression analysis for the subgroups revealed that the regression line for the diabetic and obese subgroups had a very different slope than that for the nonobese group.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Correlations between indexes of insulin sensitivity
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesThe quote only partly states this claim.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“When correlations between QUICKI and SI Clamp were calculated for each group separately, we found that r ϭ 0.49 for nonobese subjects (P Ͻ 0.01), r ϭ 0.89 for obese subjects (P Ͻ 2 ϫ 10 Ϫ5 ), and r ϭ 0.7 for diabetic subjects (P Ͻ 4 ϫ 10 Ϫ3 ).”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Correlations between indexes of insulin sensitivity
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Reassuringly, in these independent studies, we found that the overall correlation between QUICKI and SI Clamp was similar to that in our original analysis (r ϭ 0.77; P Ͻ 2 ϫ 10 Ϫ11 ).”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Correlations between indexes of insulin sensitivity
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesThe quote only partly states this claim.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Both obese and diabetic subjects had significantly greater BMIs and fasting insulin levels than the nonobese subjects (P Ͻ 6 ϫ 10 Ϫ6 ), consistent with the presence of obesity and insulin resistance.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Study subjects
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This analysis yielded r ϭ 0.74 for obese subjects (n ϭ 21) and r ϭ 0.91 for nonobese subjects (n ϭ 14), with an overall correlation coefficient of r ϭ 0.90 (n ϭ 35).”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Correlations between indexes of insulin sensitivity
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, the correlation coefficient for the nonobese subgroup was 0.49, and the greatest variability in the correlation between QUICKI and SI Clamp was observed among the most insulin-sensitive subjects.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > QUICKI
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“As expected, the fasting glucose levels for both nonobese and obese groups were normal, whereas the diabetic group had elevated levels.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Study subjects
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Similar to our results from glucose clamp studies (and in contrast to minimal model results), insulin sensitivity as assessed by QUICKI was highest in the nonobese group, intermediate in the obese group, and lowest in the diabetic group.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > QUICKI
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Insulin resistance plays an important role in the pathophysiology of diabetes and is associated with obesity and other cardiovascular risk factors.”
- Also stated in: § I NSULIN IS · plain
“plays an important pathophysiological role in diabetes (1,2).”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Abstract
What the sources say
- Not matchedcites [1] 1988, Lilly lecture 1987. The triumvirate: β-cell, muscle, liver. A collusion responsible for NIDDM., Diabetes
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Not checked — no full text of the sourcecites [2] DeFronzo, 1992, Pathogenesis of NIDDM. A balanced overview., Diabetes Care source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
- Also stated in: § I NSULIN IS · plain
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Steady state conditions were generally achieved about 2 h after the initiation of each study and were maintained for at least 60 min.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Glucose clamp studies
Load-bearingStrength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The overall correlation we obtained between SI Clamp and SI MM was comparable to previous reports whose study subjects included diabetics, suggesting that our studies were technically adequate.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Glucose clamp and minimal model estimates of insulin sensitivity
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Furthermore, QUICKI provides a reproducible and robust estimate of insulin sensitivity, because equally strong correlations with SI Clamp were obtained when fasting data from either the glucose clamp or FSIVGTT studies were used to calculate QUICKI.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > QUICKI
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, this effect is unlikely to be occurring in our studies, because fasting samples were obtained at the same time in the morning for each subject, and calculating QUICKI from the average of several blood samples (instead of a single sample) did not significantly affect our correlations.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > QUICKI
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, in analyzing an independent dataset, we observed very similar correlations between QUICKI and SI Clamp , strongly suggesting that QUICKI is a robust index of insulin sensitivity.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Relative merits of QUICKI
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“The inability of the minimal model to identify meaningful values for SI MM in a large fraction of our diabetic subjects is consistent with the experience of others and is most likely related to well described difficulties in estimating SI MM under conditions of inadequate insulin secretion (12).”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Glucose clamp and minimal model estimates of insulin sensitivity
What the sources say
- Not checked — no full text of the sourcecites [12] Saad, 1994, A comparison between the minimal model and the glucose clamp in the assessment of insulin sensitivity across the spectrum of glucose tolerance. Insulin Resistance Atherosclerosis Study., Diabetes source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Studies in the same subject were performed at least 1 week apart, and the order of the studies was randomized.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Subjects and Methods
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We conclude that QUICKI is an index of insulin sensitivity obtained from a fasting blood sample that may be useful for clinical research.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“QUICKI is a novel, simple, accurate, and reproducible method for determining insulin sensitivity in humans that may be a useful tool in large epidemiological investigations that study the role of insulin resistance in the pathophysiology of important public health problems such as obesity, cardiovascular diseases, and diabetes.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Relative merits of QUICKI
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Potential limitations to QUICKI include difficulty in applying it to subjects with type 1 diabetes who lack endogenous insulin secretion.”
§ Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans > Relative merits of QUICKI
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
The paper relies on this without support.
The glucose clamp is the gold standard method for directly measuring insulin sensitivity in vivo.
“Although the glucose clamp is considered to be the gold standard method for directly measuring insulin sensitivity in vivo, it can be implemented in a number of different ways.”
The paper relies on this without support.
The distribution of fasting insulin values is skewed.
“One rational for these transformations is the fact that the distribution of fasting insulin values is skewed.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“A recent placebo-controlled trial of ursodiol in NASH found that a proportion of patients receiving placebo had decreases in steatosis, but that improvements in inflammation and cell injury were uncommon.30”
From A pilot study of pioglitazone treatment for nonalcoholic steatohepatitis (2004) · cites this paper as [30]
In the citing paper
“ndirect estimates of insulin resistance, such as HOMA-IR 63 and QUICKI, 64 are derived from fasting S-insulin and glucose concentrations and have been widely used in both nondiabetic and type 2 diabetic subjects as surrogates of insulin sensitivity.65,66”
From Increased liver fat, impaired insulin clearance, and hepatic and adipose tissue insulin resistance in type 2 diabetes. (2008) · cites this paper as [64]
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“Insulin resistance was assessed using the homeostasis model assessment (HOMA) [29] and insulin sensitivity was evaluated using the quantitative insulin sensitivity check index (QUICKi) [30].”
MethodComparison of Insulin Sensitivity in Subclinical and Overt Hypothyroidism
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IS PALM MID FRACTION A HEALTHIER CHOICE AS A COCOA BUTTER EQUIVALENT?
Voon, P. T. (2020) · Journal of Oil Palm Research · doi:10.21894/jopr.2020.0100 · Cited by 2
“[1 / (log (fasting insulin) + log (fasting glucose)] (Katz et al., 2000) are normally used for fasting blood samples, these indices of insulin resistance were calculated for the 4 hr time-point following the three test meals, which may be considered as the early fasting phase in the study.”
MethodTriglyceride-Glucose Index As a Surrogate Marker for Insulin Resistance ın Obese Adolescents
Taştanoğlu, H., & Çelik, N. (2021) · Cumhuriyet Tıp Dergisi/Cumhuriyet Üniversitesi Tıp Fakültesi dergisi · doi:10.7197/cmj.1022934 · Cited by 2
Insulin Resistance and Diabetes in Chronic Renal Disease
Simonson, D. C. (2009) · Elsevier eBooks · doi:10.1016/b978-0-12-373870-7.00025-9 · Cited by 2
Laaksonen, D. E., NISKANEN, L. K., Mykkänen, H. M., Juntunen, K. S., Schwab, U., Kolehmainen, M., Rauramaa, R., Tuomilehto, J. O., & Uusitupa, M. I. J. (2008) · Annals of Medicine · doi:10.1080/07853890701879808 · Cited by 2
“The QUICKI insulin sensitivity index was calculated as (log(insulin concentration)) log(glucose concentration)) 1 (25).”
MethodThe patient with growth hormone deficiency: issues in the transition from childhood to adulthood
Quigley, C. A. (2003) · Current Opinion in Endocrinology & Diabetes · doi:10.1097/00060793-200308000-00009 · Cited by 2
Non-Alcoholic Fatty Liver Disease : A clinical and histopathological study
Ekstedt, M. (2008) · KTH Publication Database DiVA (KTH Royal Institute of Technology) · Cited by 2
Revised vs original QUICKI index during diet + rosiglitazone treatment in obese subjects
Brunani, A., Caumo, A., Graci, S., Margarini, C., Viberti, G., & Liuzzi, A. (2004) · Diabetes & Metabolism · doi:10.1016/s1262-3636(07)70134-9 · Cited by 2
“It has been shown to be well correlated with insulin sensitivity across the entire spectum of glucose tolerance, but its performance is less satisfactory in normal subjects [1].”
BackgroundCuri, D. D. G. (2007) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.5.2007.tde-04102007-121316 · Cited by 2
Jamaludin, U. K. (2013) · UMP Institutional Repository (Universiti Malaysia Pahang) · doi:10.26021/3488 · Cited by 2
“Overall, as a result, several studies have shown an ambiguous correlation between and the gold standard EIC (R=0.44-0.92) (Bergman et al. 1987; Finegood et al. 1984; Foley et al. 1985; 21 Galvin et al. 1992; Katz et al. 2000) with more results in the lower range.”
ResultInfluentialNutritional risk factors for the metabolic syndrome in overweight children
Herter‐Aeberli, I. (2008) · doi:10.3929/ethz-a-005633355 · Cited by 2
Fat oxidation during exercise: significance, determinants and response to nutrition
Robinson, S. (2016) · Cited by 2
Lan‐Pidhainy, X. (2012) · TSpace (University of Toronto) · Cited by 2
The effects of a Kenyan antidiabetic plant on insulin homeostasis
Suleiman, K. Y. (2009) · Nelson Mandela University Research Repository · Cited by 2
Grangeiro, É. D., Trigueiro, M. S., Siais, L. D. O., Paiva, H. M., Sola‐Penna, M., & Rosado, E. L. (2020) · Preprints.org · doi:10.20944/preprints202005.0436.v1 · Cited by 2
“Insulin sensitivity (IS) was estimated using the Quantitative Insulin Sensitivity Check Index (QUICKI), QUICKI = 1 / (LOG (fasting serum insulin) + LOG (fasting blood glucose) [36].”
MethodMonti, L., Møller, N., Ng, L. L., Coppack, S. W., Nagasaka, S., Nakaishi, S., Tokuyama, K., Gower, B., Lovegrove, S. S., Cuomo, et al. (2005) · Cited by 2
Contribution of de novo lipogenesis to the progression of nonalcoholic fatty liver disease
Abdul, M. M. S. (2020) · MOspace Institutional Repository (University of Missouri) · doi:10.32469/10355/81575 · Cited by 2
Richardson, C. E., Krishnan, S., Gray, I. J., Keim, N. L., & Newman, J. W. I. (2021) · medRxiv · doi:10.1101/2021.09.22.21263899 · Cited by 2
“315 [34]; homeostasis model assessment of insulin resistance 96 (HOMA-IR) >3.”
BackgroundLin, C.-W. (2011) · doi:10.17077/etd.9huqp2h8 · Cited by 2
Patterson, M. A. (2014) · Cited by 2
Avaliação da resistência insulínica e do perfil lipídico na síndrome de turner
Armani, M. C. D. A., Baldin, A. D., de Lemos‐Marini, S. H. V., Baptista, M. T. M., Maciel‐Guerra, A. T., & Guerra‐Júnior, G. (2005) · Arquivos Brasileiros de Endocrinologia & Metabologia · doi:10.1590/s0004-27302005000200015 · Cited by 1
Jeong, D. W., Lee, J. G., Lee, S. Y., Kim, Y. J., Bae, J. H., Kim, D., Yi, Y. H., Cho, Y. H., & Chae, U. (2012) · International Journal of Diabetes in Developing Countries · doi:10.1007/s13410-012-0069-z · Cited by 1
“Insulin resistance HOMA-IR- a well known index of insulin resistance-and QUICKI-a quantitative standard for insulin sensitivity-were calculated by using the following formulae: [HOMA-IR 0 fasting plasma insulin (μU/mL) × FPG (mg/dL) / 22.5× 18.182] [13], QUICKI 0 1/[log fasting insulin(μU/mL) + log FPG(mg/dL)] [14].”
MethodInfluentialRosiglitazone maleate increases weight gain and body fat content in growing lambs
Fahri, F. T., Clarke, I. J., Pethick, D. W., Warner, R. D., & Dunshea, F. R. (2015) · Animal Production Science · doi:10.1071/an14885 · Cited by 1
“However, Kushibiki et al. (2001) found that intravenous TZD administration improved insulin-dependent glucose utilisation in beef steers that had been made insulin-resistant through treatment with tumour necrosis factor a.”
BackgroundComparative Informativity of Computing Methods of Insulin Resistance Assessment
Ксенева, С. И., Бородулина, Е. В., Trifonova, O. Y., et al. (2022) · Bulletin of Experimental Biology and Medicine · doi:10.1007/s10517-022-05398-2 · Cited by 1
“Some authors think that the QUICKI index better correlates with the results of the glucose insulin clamp test than the HO-MA-R index [11], therefore, it reflects the degree of insulin sensitivity to a greater extent.”
ResultAbdou, M., Hassan, M. M., ELatty, S. A., Aiad, D. N., & Ibrahim, A. (2022) · Open Access Macedonian Journal of Medical Sciences · doi:10.3889/oamjms.2022.8877 · Cited by 1
“5) - IR sensitivity was measured using the quantitative Insulin sensitivity check index (QUICKI; 1/[log I0–log G0], where I0 is fasting Insulin [in mIU/L] and G0 is fasting glucose [mg/dl]) [24].”
MethodKhodarahmi, M., Khah, A. S., Farhangi, M. A., et al. (2022) · Egyptian Journal of Medical Human Genetics · doi:10.1186/s43042-022-00328-3 · Cited by 1
Heo, S., & Yang, S. J. (2023) · Journal of Nutrition and Health · doi:10.4163/jnh.2023.56.4.349 · Cited by 1
Clinical and prognostic value of leptin resistance in the hospital period of myocardial infarction
Gorbatovskaya, E., Dyleva, Y. A., Belik, E. V., et al. (2023) · Bulletin of Siberian Medicine · doi:10.20538/1682-0363-2023-3-14-24 · Cited by 1
Hoang, B. B., Nguyen, K. N. V., & Ngo, T. T. K. (2024) · Indian Journal of Nephrology · doi:10.25259/ijn_31_2024 · Cited by 1
Tadiotto, M. C., Corazza, P. R. P., de Menezes-Junior, F. J., Tozo, T. A. A., Lopes, M. D. F. A., Pizzi, J., da Silva, L. R., Lopes, W. A., & Leite, N. (2024) · European Journal of Pediatrics · doi:10.1007/s00431-024-05761-7 · Cited by 1
“Homeostasis metabolic assessment insulin resistance (HOMA-IR) [27] and the quantitative insulin sensitivity check index (QUICKI) [28] were determined.”
Chronic whole-body heat treatment in obese insulin-resistant C57BL/6J mice
Schroeder, H. T., Muller, C. H. D. L., Rodrigues, M. I. L., de Azevedo, M. A., Borges, V. D. S., Sponchiado, C. M., & de Bittencourt, P. I. H. (2024) · Archives of Physiology and Biochemistry · doi:10.1080/13813455.2024.2406904 · Cited by 1
“The quantitative insulin-sensitivity check index (QUICKI; Katz et al. 2000) was determined by the equation: QUICKI = 1/[log(I 0 ) + log(G 0 )], with I 0 representing fasting insulin (μU/mL) and G 0 being fasting glycaemia (mg/dL).”
Insulin Resistance and Its Detection
Manwani, T., Wanjari, A., & Acharya, S. (2024) · Journal of Datta Meghe Institute of Medical Sciences University · doi:10.4103/jdmimsu.jdmimsu_171_23 · Cited by 1
Effect of Zinc on Blood Biochemical and mTOR Gene Expression in Rats with Polycystic Ovarian
Torshizi, F. F., Heravi, R. M., & Javadmanesh, A. (2024) · Biological Trace Element Research · doi:10.1007/s12011-024-04452-6 · Cited by 1
“The QUICKI surrogate index of insulin sensitivity has been proposed as the most thoroughly validated and accurate surrogate indicator of insulin sensitivity; hence, an increase in this index indicates an increase in insulin sensitivity [41].”
From Calories to Nutrients: The Role of Lifestyle Changes for Addressing Obesity
Shakir, N. (2024) · Tikrit Journal of Pure Science · doi:10.25130/tjps.v29i6.1675 · Cited by 3
“Growth hormone concentration in the serum was estimated in serum by using Enzyme Linked Immunosorbent Assay (ELISA) kit prepared from fortress company from United Kingdom glucose is expressed in S.I. units) [9].”
Lou, Y., Chen, H., Man, F., et al. (2025) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-025-01669-w · Cited by 1
“Participants who selected other reasons or reported no fractures were included in the non-fragility fracture group [1, 24].”
Göbl, C. S., Linder, T., Eppel, D., Kotzaeridi, G., Weidinger, L., Zarotti, S., Fischer, T., Bernasconi, M. T., Kunze, M., Ochsenbein-Koelble, N., et al. (2025) · Acta Diabetologica · doi:10.1007/s00592-025-02490-7 · Cited by 3
“…model of insulin resistance, HOMA-IR [23]; the quantitative insulin sensitivity check index from insulin (QUICKI-I) and C-Peptide (QUICKI-C) [ 24]; the triglyc-eride-glucose index, TyG [ 25]; the improved triglyceride-glucose-insulin-sensitivity index, TyGIS [ 21]; the Bennett (ISI Bennett)…”
Dietary Insulinogenic Amino Acid Restriction Improves Glucose Metabolism in a Neonatal Piglet Model
Gorton, M. W., Goodarzi, P., Lei, X., Anderson, M. C., Habibi, M., Wilson, N. F., & Pezeshki, A. (2025) · Nutrients · doi:10.3390/nu17101675 · Cited by 1
“The quantitative insulin sensitivity check index (QUICKI) was calculated as 1/[log(I0) + log(G0)], where I0 is fasting insulin ( µ U/mL) and G0 is fasting glucose (mg/dL) [62].”
Oe, Y., Nakamura, A., Cho, K. Y., Takase, T., Ogawa, K., Ebihara, Y., Yoshikawa, M., Miya, A., Nomoto, H., Kameda, H., et al. (2025) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00484.2024 · Cited by 1
Ciardullo, S., Dodesini, A. R., Muraca, E., Invernizzi, P., Trevisan, R., & Perseghin, G. (2025) · Diabetology · doi:10.3390/diabetology6060050 · Cited by 2
“…also calculated another score of insulin sensitivity known as the Quantitative Insulin Sensitivity Check Index (QUICKI) as proposed by Katz et al. [32], who showed that by taking both the logarithm and the reciprocal of the insulin-glucose product, one can improve the correlation with the…”
Islam, M. R., Yang, J., Li, M., Mokshagundam, S. P., Cai, L., & Li, J. (2025) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2025.112188 · Cited by 1
Ateş, H. A., & Bulut, T. B. (2025) · Scientific Reports · doi:10.1038/s41598-025-02458-1 · Cited by 1
Impact of aging on cardiovascular dynamics and heart rate variability during passive head‐up tilt
Choudhary, M. K., Holmström, K., Bouquin, H., Saarinen, T. P., Koskela, J., Pietilä, E., Suojanen, L. J., Mustonen, J. T., Nevalainen, P. I., & Pörsti, I. H. (2025) · Physiological Reports · doi:10.14814/phy2.70477 · Cited by 3
“The Quantitative Insulin Sensitivity Check Index (QUICKI) was calculated based on fasting plasma glucose and insulin levels (Katz et al., 2000).”
Sreevallabhan, S., Jose, S. P., Ratheesh, M., et al. (2025) · Journal of Pharmaceutical Innovation · doi:10.1007/s12247-025-10046-z · Cited by 1
Tripathi, P., Tiwari, D., KADAM, N. S., VYAWAHARE, A. R., Sharma, B., Kathrikolly, T., GANLA, M. H., & Saboo, B. (2025) · Journal of Diabetes Research · doi:10.1155/jdr/6172692 · Cited by 1
“The homeostatic model assessment of insulin resistance (HOMA-IR), homeostatic model assessment of beta-cell function (HOMA-B), and quantitative insulin sensitivity check index (QUICKI) at both baseline and the end of 1 year were calculated using standard formulas [25, 26].”
Touzani, S., Al-Waili, N., Laaroussi, H., Aboulghazi, A., Hamas, N., Imtara, H., Ghouizi, A. E., Arabi, I. E., Al-Waili, A., & Lyoussi, B. (2025) · World Journal of Experimental Medicine · doi:10.5493/wjem.v15.i3.99330 · Cited by 1
Simultaneous Pancreas and Kidney Transplantation in Patients With Type 2 Diabetes Mellitus
Owen, R. V., Reynard, J., Thompson, E., Kourounis, G., Snowden, C. P., Maillo-Nieto, A., Shaw, J., Wilson, C. H., & White, S. A. (2025) · Transplant International · doi:10.3389/ti.2025.14772 · Cited by 2
“Other predictive models include QUICKI [27] and METS-IR [28].”
Diagnostic Tools For Insulin Resistance: A Narrative Review
Sahoo, S. S., Madhu, S. V., Mehndiratta, M., Almeida, E. A., & Garg, S. (2025) · Journal of Diabetology · doi:10.4103/jod.jod_43_25 · Cited by 2
Tang, J., Zhou, J., Zhu, L., Zhao, Y., Yin, G., & Zhang, R. (2025) · Medicine · doi:10.1097/md.0000000000044319 · Cited by 1
“HOMA-IR and QUICKI were calculated using the following formulas [22,23] : HOMA-IR = fasting insulin (µIU/mL) × fasting glucose (mmol/L)/22.5, and QUICKI = 1/(log [fasting insulin [µIU/mL]] + log [fasting glucose [mg/dL]]).”
InfluentialGuo, Q., Lv, L., Yang, X., et al. (2026) · Frontiers in Endocrinology · doi:10.3389/fendo.2025.1671040 · Cited by 1
Steiner, A., Rieder, A., Strutz, J., Weiß, E., Tocantins, C., Amtmann, B., Moustafa, T., Stern, C., Kulovic‐Sissawo, A., & Hiden, U. (2026) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00404.2025 · Cited by 1
Ojeda‐Rodríguez, A., López‐Gil, J. F., Catalán-Lambán, A., Azcona, C., & del Moral, A. A. M. (2026) · Frontiers in Nutrition · doi:10.3389/fnut.2026.1753345 · Cited by 1
Insulin resistance and metabolic health predict cardiorespiratory fitness: cohort study
Muñoz-Hernández, L., Rivera, A. L., Soto-Mota, A., Paez‐Mayorga, J., Flores‐Brito, J., Reséndiz‐Carrillo, E., Álvarez, G. R., Lopez‐Carreola, L., Zamora‐Gutierrez, S., Alpizar‐Chacon, P., et al. (2026) · European Heart Journal Open · doi:10.1093/ehjopen/oeag029 · Cited by 1
“…resistance; however, they rely on direct insulin measurements, which are expensive and highly variable depending on the immunoassay technique used 21,22 The metabolic score for insulin resistance (METS-IR) is an indirect method for detecting insulin resistance, validated against the…”
Knapper, E., Kladt, L. V., Avalos-Rosario, I., Dean, S. E., Silva, W., Serão, N. V. L., Hergenreder, J., Neto, E. L., Wood, K. M., Steele, M. A., et al. (2026) · Animal Feed Science and Technology · doi:10.1016/j.anifeedsci.2026.116776 · Cited by 1
Kado, A., Okushin, K., Tsutsumi, T., Kishida, T., Ikeuchi, K., Yotsuyanagi, H., Moriya, K., Koike, K., & Fujishiro, M. (2026) · JCI Insight · doi:10.1172/jci.insight.200231 · Cited by 3
“IL-10 also increased QUICKI, which were decreased by HFD; these results suggest that IL-10 suppresses IR.”
InfluentialSánchez‐Delgado, G., Marlatt, K. L., Beyl, R. A., Sparks, J. R., Flanagan, E. W., Greenway, F. L., & Ravussin, É. (2026) · Diabetes Obesity and Metabolism · doi:10.1111/dom.70802 · Cited by 1
Combining glycine with thymoquinone offers a promising strategy for diabetes treatment
Bash, N. N., Saad, E. A., El-Sayed, I. H., & Radwan, K. H. (2026) · Scientific Reports · doi:10.1038/s41598-026-52735-w · Cited by 2
“Quantitative insulin sensitivity check index (QUICKI) was calculated according to the report by Katz et al. 27 with the formula QUICKI = 1/(log [fasting insulin in µU/L] + log [fasting glucose in mg/ dL]).”
A sweet danger: the silent link between hyperinsulinemia and gastric cancer
Laurenziello, P., Luongo, M., Severini, F. L., Russi, S., Falco, G., Calabrese, C., & Laurino, S. (2026) · Molecular Cancer · doi:10.1186/s12943-026-02693-8 · Cited by 3
“…assessment of insulin resistance (HOMA-IR) and the Quantitative Insulin Sensitivity Check Index (QUICKI) leverage fasting glucose and insulin levels, with QUICKI demonstrating a more linear correlation with gold-standard clamp techniques across a broad spectrum of insulin sensitivity [61, 70, 71].”
Choudhary, M. K., Saarinen, T., Oivo, M., Tietäväinen, J., Tikkakoski, A., Mustonen, J. T., Pörsti, I. H., & Koskela, J. (2026) · Blood Pressure · doi:10.1080/08037051.2026.2703350 · Cited by 1
Glycemia, Insulin Sensitivity Markers and Arterial Stiffness: The Framingham Heart Study
Noumegni, S. R., Juraschek, S. P., Cohen, J. B., & Echouffo-Tcheugui, J. B. (2026) · Hypertension · doi:10.1161/hypertensionaha.125.26375 · Cited by 1
Quantifying Obesity in Economic Research
Parks, J. C., Smith, A. D., & Alston, J. M. (2010) · Cited by 1
Rosiglitazone reverses increased duodenal inhibitory response in spontaneously hypertensive rats
Benedictis, L. D., Potenza, M. A., Gagliardi, S., et al. (2011) · Neurogastroenterology & Motility · doi:10.1111/j.1365-2982.2011.01798.x · Cited by 1
Evidence to Support a Putative Role for Insulin Resistance in Chronic Kidney Disease
Shehab-Eldin, W. A., Ragheb, A., Gazarin, S. S., & Shoker, A. (2010) · Arab Journal of Nephrology and Transplantation · doi:10.4314/ajnt.v2i3.58879 · Cited by 1
TNF Antagonists, The Prevention of Myocardial Infarction in Rheumatoid Arthritis Patients?
Yeo, L. T. (2013) · Res Medica · doi:10.2218/resmedica.v21i1.185 · Cited by 1
Kakita, A., Suzuki, A., Nagata, M., & Itoh, M. (2008) · Anti-aging Medicine · doi:10.3793/jaam.5.82 · Cited by 1
Lazaro, K., Luz, V. A., & Sapang, B. (2012) · Journal of the ASEAN Federation of Endocrine Societies · doi:10.15605/jafes.027.02.11 · Cited by 1
Díez, J. J., Grande, C., Méndez, J., et al. (2006) · Clinical Endocrinology · doi:10.1111/j.1365-2265.2006.02541.x · Cited by 1
The clinical relevance of fasting serum insulin levels in obese subjects
Crowther, N. J. (2004) · Journal of Endocrinology Metabolism and Diabetes of South Africa · doi:10.1080/16089677.2004.11073591 · Cited by 1
“The HOMA and QUICKI methods are quicker, easier and cheaper to perform and give results that have been shown to correlate with data obtained from the clamp technique.(1,2)”
MethodEstimer la sensibilité à l’insuline : trop d’outils tuent-ils l’outil ?
Disse, E., Elisha, B., Fellahi, S., RABASA-LHORET, R. P. R., Laville, M., & Bastard, J. (2013) · Obésité · doi:10.1007/s11690-013-0367-8 · Cited by 1
The metabolic aspects of polycystic ovary syndrome
Yasmin, E., & Balen, A. H. (2011) · Expert Review of Obstetrics & Gynecology · doi:10.1586/eog.11.18 · Cited by 1
Insulin Resistance Study in Diabetes Mellitus Type II and Its Correlation with Obesity
Usman, S. (2014) · American Journal of Life Sciences · doi:10.11648/j.ajls.20140202.20 · Cited by 1
Rasmussen, M. H., Juul, A., Main, K. M., & Hilsted, J. (2011) · International Journal of Endocrinology · doi:10.1155/2011/493840 · Cited by 1
Relationship between Visceral Adiposity and Plasma Adiponectin Concentration: Effect of Weight Loss
Nasseri, E., Djalali, M., Keshavarz, S. A., Hosseini, M., Dorosty, A., & Chamari, M. (2007) · Cited by 1
Original Article: Indices of insulin resistance in paediatric obesity
Chandrasekhar, T., Suchitra, M. M., Sachan, A., Bitla, A. R. R., & Rao, S. (2014) · Cited by 1
Forouzan, Z., Pishkar, L., Soheila, Y., & Asadi, F. (2014) · Cited by 1
Early Phase Metabolic Research with Reference to Special Populations
Morrow, L., & Krentz, A. J. (2014) · Springer eBooks · doi:10.1007/978-1-4471-4920-0_9 · Cited by 1
Marcadores clínicos e bioquímicos de gravidade do diabetes mellitus gestacional
de Souza, B. V., Aita, C. A. M., Silva, J. C., & Baggenstoss, R. (2012) · Cited by 1
Una Formica Nuova Italiana Spettante Ad Un Nuovo Genere.
Emery, C. (1907) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.25507 · Cited by 1
Abdel-Aziz, T., Azab, N. I., Odah, M., et al. (2011) · Indian Journal Of Applied Research · doi:10.15373/2249555x/aug2013/28 · Cited by 1
Ogasawara, H., Tanaka, G., Horiguchi, M., et al. (2011) · The Japanese Journal of Health Psychology · doi:10.11560/jahp.24.2_42 · Cited by 1
Kanamori, R., & Aihara, R. (2016) · Journal of Anesthesia & Clinical Research · doi:10.4172/2155-6148.1000608 · Cited by 1
“In addition, our patients had been given an enough amount of opioids during surgery because of the use of remifentanil, and postoperative pain was properly managed with epidural anesthesia, which suppressed the secretion of catecholamines and cortisol [18-20].”
BackgroundThe association of sex hormones and the metabolic syndrome in apparently healthy Korean male adults
김석, 이은정, 석효선, 최영길, 정원길, 이도영, 김세연, 정찬희, 박철영, Lee, W., et al. (2007) · The Korean Journal of Internal Medicine · Cited by 1
Interaction of Insulin Hormone with Microalbuminuria and Blood Pressure in Type 2 Diabetic Patients.
Mohsen, I. H., Zaidan, H. K., & Al-Saadi, A. H. (2016) · Journal of Babylon University · Cited by 1
Al-Dahr, M. H. S. (2018) · Endocrinology&Metabolism International Journal · doi:10.15406/emij.2018.06.00176 · Cited by 1
Honma, Y., Sumida, K., Ogino, N., et al. (2018) · Case Reports in Gastroenterology · doi:10.1159/000492423 · Cited by 1
Ghani, Z. A. R. A., Mukhtar, R. S., Fadhel, M. A., & Turki, K. M. (2015) · Journal of the Faculty of Medicine Baghdad · doi:10.32007/med.1936/jfacmedbagdad.v57i1.12 · Cited by 1
Neuschwander‐Tetri, B. A. (2006) · Elsevier eBooks · doi:10.1016/b978-1-4160-3258-8.50060-7 · Cited by 2
Pre-Exercise Maltodextrin Ingestion and Transient Hypoglycemia in Cycling and Running
CHRYSSANTHOPOULOS, C. (2020) · International journal of exercise science · doi:10.70252/oprj4508 · Cited by 1
Sarhan, W. M., Ismail, N. A., Zidan, N., et al. (2021) · Zagazig University Medical Journal · doi:10.21608/zumj.2021.80189.2260 · Cited by 1
“Insulin resistance was measured using Homeostasis model assessment (HOMA-IR) calculation: [(FBG X fasting insulin)/405] [16] and Quantitative insulin sensitivity check index (QUICKI) - calcualtion: 1/[log FI (μIU/ml) + log FBG (mg/dl)] [17].”
MethodAl-Naemi, A. H. (2022) · Open Access Macedonian Journal of Medical Sciences · doi:10.3889/oamjms.2022.7928 · Cited by 2
“3X ln [Tgs]) [19], and QUICKI as the reciprocal of the sum of log values of fasting insulin (μU/mL) and glucose (mg/dL) [20].”
Background
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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