Evidence map›Paper›PMID 37757966›Full record

ArticleClinical biochemistry2023

Glycated serum proteins and albumin but not glycated albumin show negative correlation with BMI in an overweight/obese, diabetic population from the United States.

Jennifer Powers Carson, Jyoti Arora

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Clinical biochemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02519309 (Dietary Intervention in Type-2 Diabetics and Pre-Diabetics Emphasizing Personalized Carbohydrate Intake), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 17% 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.

NCT02519309 nacompletednot on this map

Dietary Intervention in Type-2 Diabetics and Pre-Diabetics Emphasizing Personalized Carbohydrate Intake

TypeinterventionalSponsorVirta HealthRan2015 to 2021Enrolled465ConditionsDiabetes Mellitus, Type 2, Pre-diabetes, Metabolic SyndromeArmsVirta Program
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 7 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

2 authors at 1 institution in 1 country.

Jennifer Powers CarsonDivision of Endocrinology, Metabolism, and Lipid Research, Department of Medicine, 660 S. Euclid Ave., Washington University School of Medicine, St. Louis, MO 63110, USA. Electronic address: powers.jennifer.l@wustl.edu.
Jyoti AroraCenter for Biostatistics and Data Science, Washington University School of Medicine, 660 S. Euclid Ave., St. Louis, MO 63110, USA.
Washington University in St. Louis · US

Funding

Washington University Nutrition Obesity Research CenterP30DK056341 · NIDDK · WASHINGTON UNIVERSITY · PI Dominic N Reeds · 1999 to 2026
$30.2M
WU P&FP30DK020579 · NIDDK · WASHINGTON UNIVERSITY · PI Clay F. Semenkovich · 2013 to 2026
$27.1M
NIDDK NIH HHS P30 DK020579NIDDK NIH HHS P30 DK056341
6 · The paper itself

Abstract

BACKGROUND AND

aimsMultiple previously published studies have shown a weak to medium, negative correlation between BMI and glycated albumin (GA). However, many of these studies were in populations with a narrow range of BMI. It is unknown whether this trend exists if a wider BMI range is used. This is an important question for proper interpretation of GA levels in obese populations. MATERIALS AND

methodsA retrospective analysis of clinical trial data (NCT02519309) was performed. After appropriate exclusions, 334 subjects remained. These included 73.7% with type 2 diabetes (T2D) diagnosis and 26.3% with prediabetes. BMI ranged from 24.8-86.9 kg/m

resultsNo significant, negative correlation was seen between GA and BMI. However, individual components (glycated serum proteins and albumin) as well as the GA/HbA1c ratio show a weak, negative correlation with BMI for all subjects and those with T2D. The strongest negative correlation was with albumin. Examination by traditional BMI subgroups also showed statistically significant differences for those with T2D, but not for the prediabetic cohort. Correlations between BMI and C-reactive protein were similar in those with diabetes and prediabetes; however, correlation between BMI and insulin was stronger in those with diabetes.

conclusionNegative correlations between BMI and albumin or BMI and glycated serum proteins persist in diabetic populations that are obese and overweight, even when a statistically significant negative correlation is not observed between BMI and GA. Inflammation or insulin-mediated changes in protein synthesis could be contributors to these negative correlations, but BMI-related changes to the glomerulus could also affect clearance of albumin or glycated proteins and should be examined.

Indexed as

Diabetes Mellitus, Type 2Prediabetic StateBlood GlucoseBody Mass IndexGlycated HemoglobinGlycated Serum AlbuminGlycated Serum ProteinsGlycation End Products, AdvancedHumansInsulinObesityOverweightRetrospective StudiesSerum AlbuminUnited StatesBlood GlucoseGlycated HemoglobinGlycated Serum AlbuminGlycated Serum ProteinsGlycation End Products, AdvancedInsulinSerum AlbuminBMIDiabetesGlycated albuminNegative correlationObeseOverweight

Identifiers

PMID37757966
PMCPMC10809425
OpenAlexW4387026719

What OpenQuestion holds

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LicenceTDM
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Registered trials

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.