Evidence map›Paper›PMID 36636252›Full record

ArticleJournal of the Endocrine Society2023

Lipoprotein Insulin Resistance Index: A Simple, Accurate Method for Assessing Insulin Resistance in South Asians.

Andin Fosam, Rashika Bansal, Amrita Ramanathan, Camila Sarcone, Indiresha Iyer, Meena Murthy, Alan T Remaley, Ranganath Muniyappa

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the Endocrine Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Andin FosamClinical Endocrine Section, Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Rashika BansalClinical Endocrine Section, Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Amrita RamanathanClinical Endocrine Section, Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Camila SarconeClinical Endocrine Section, Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Indiresha IyerDepartment of Cardiovascular Medicine, Cleveland Clinic, Akron, OH 44302, USA.
Meena MurthyDepartment of Endocrinology, Saint Peter's University Hospital, New Brunswick, NJ 08901, USA.
Alan T RemaleyLipoprotein Metabolism Section, Translational Vascular Medicine Branch, National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD 20892, USA.ORCID https://orcid.org/0000-0001-5839-7280
Ranganath MuniyappaClinical Endocrine Section, Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA.ORCID https://orcid.org/0000-0003-4198-1055
National Institutes of Health · USCleveland Clinic · USSaint Peter's University Hospital · US

Funding

Development and assessment of cardiovascular risk biomarkersZIAHL006275 · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · 2025 to 2025
$1.6M
6 · The paper itself

Abstract

Context: Identification of insulin resistance (IR) in South Asians, who are at a higher risk for type 2 diabetes, is important. Lack of standardization of insulin assays limits the clinical use of insulin-based surrogate indices. The lipoprotein insulin resistance index (LP-IR), a metabolomic marker, reflects the lipoprotein abnormalities observed in IR. The reliability of the LP-IR index in South Asians is unknown. Objective: We evaluated the predictive accuracy of LP-IR compared with other IR surrogate indices in South Asians. Methods: In a cross-sectional study (n = 55), we used calibration model analysis to assess the ability of the LP-IR score and other simple surrogate indices (Homeostatic Model Assessment of Insulin Resistance, Quantitative insulin sensitivity check index, Adipose insulin resistance index, and Matsuda Index) to predict insulin sensitivity (S Results: The simple surrogate indices showed moderate correlations with S Conclusion: The LP-IR index is a simple, accurate, and clinically useful test to assess IR in South Asians.

Indexed as

and diabetesinsulin resistancelipoproteinssouth Asian

Identifiers

PMID36636252
PMCPMC9830979
OpenAlexW4312045332

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.