Evidence map›Paper›PMID 30187017›Full record

ArticleJournal of the Endocrine Society2018

Insulin Resistance Probability Scores for Apparently Healthy Individuals.

Fahim Abbasi, Dov Shiffman, Carmen H Tong, James J Devlin, Michael J McPhaul

Open access · goldAbstract read
In one paragraph

Article in Journal of the Endocrine Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

15 citing papers in PubMed, 19 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Fahim AbbasiDivision of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California.
Dov ShiffmanQuest Diagnostics Nichols Institute, San Juan Capistrano, California.
Carmen H TongQuest Diagnostics Nichols Institute, San Juan Capistrano, California.
James J DevlinQuest Diagnostics Nichols Institute, San Juan Capistrano, California.
Michael J McPhaulQuest Diagnostics Nichols Institute, San Juan Capistrano, California.
Quest Diagnostics (United States) · USStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextInsulin resistance (IR) can progress to type 2 diabetes. Therefore, timely identification of IR could facilitate disease prevention efforts. However, direct measurement of IR is not feasible in a clinical setting.

objectiveDevelop a clinically practical probability score to assess IR in apparently healthy individuals based on levels of insulin, C-peptide, and other risk factors.

designCross-sectional study.

participantsApparently healthy individuals who volunteered to participate in studies of IR.

main outcome measureIR, defined as the top tertile of steady-state plasma glucose during an insulin-suppression test.

resultsIn a study of 535 participants, insulin, C-peptide, creatinine, body mass index (BMI), and triglycerides to high-density lipoprotein cholesterol ratio (TG/HDL-C) were independently associated with IR (all

conclusionsAn IR probability score based on insulin, C-peptide, creatinine, TG/HDL-C, and BMI or a score based on only insulin and C-peptide may help assess IR in apparently healthy individuals.

Indexed as

C-peptideinsulininsulin resistance

Identifiers

PMID30187017
PMCPMC6117401
OpenAlexW2887563989

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.