Evidence map›Paper›PMID 35306495›Full record

ArticleAnnals of nutrition & metabolism2022

Higher Inflammation Is Associated with Cardiometabolic Phenotype and Biochemical Health in Women with Obesity.

Sarah Louise Killeen, David F Byrne, Aisling A Geraghty, Mark T Kilbane, Patrick J Twomey, Malachi J McKenna, Cara A Yelverton, Radka Saldova, Douwe Van Sinderen, Paul D Cotter and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Annals of nutrition & metabolism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

12 authors at 4 institutions in 1 country.

Sarah Louise KilleenUCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin, Ireland, sarah.louise.killeen@ucdconnect.ie.
David F ByrneUCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin, Ireland.
Aisling A GeraghtyUCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin, Ireland.
Mark T KilbaneDepartment of Clinical Chemistry, St Vincent's University Hospital, Dublin, Ireland.
Patrick J TwomeyDepartment of Clinical Chemistry, St Vincent's University Hospital, Dublin, Ireland.
Malachi J McKennaUCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin, Ireland.
Cara A YelvertonUCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin, Ireland.
Radka SaldovaThe National Institute for Bioprocessing, Research, and Training (NIBRT), Dublin, Ireland.
Douwe Van SinderenAPC Microbiome Ireland, National University of Ireland, Cork, Ireland.
Paul D CotterAPC Microbiome Ireland, National University of Ireland, Cork, Ireland.
Eileen F MurphyPrecisionBiotics Group Ltd., Cork Airport Business Park, Cork, Ireland.
Fionnuala M McAuliffeUCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin, Ireland.
University College Dublin · IESt. Vincent's University Hospital · IENational University of Ireland · IETeagasc - The Irish Agriculture and Food Development Authority · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMetabolic or inflammatory markers may predict adverse outcomes in women with obesity. We sought to describe metabolic-obesity phenotypes of women using novel staging tools and investigate relationships with inflammation.

methodsIn a cross-sectional study, we collected fasting blood samples from sixty-four females with body mass index (BMI) ≥28 kg/m2. Participants were classified as metabolically healthy or metabolically unhealthy obesity (MUO) using the cardiometabolic disease staging system (CMDS) and Edmonton obesity staging system (EOSS). Data were analyzed using independent sample t tests, Pearson's correlations, and multiple logistic regression.

resultsMean (SD) age was 40.2 (9.3) years with median (IQR) BMI 31.8 (30.3-35.7) kg/m2. The prevalence of MUO was 46.9% and 81.3% using CMDS and EOSS criteria, respectively. Women with raised CMDS scores had higher C3 (1.34 [0.20] vs. 1.18 [0.15], p = 0.001) and C-reactive protein (CRP) (2.89 [1.31-7.61] vs. 1.39 [0.74-3.60], p = 0.034). C3 correlated with insulin (r = 0.52), hemoglobin A1c (r = 0.37), and C-peptide (r = 0.58), all p < 0.05. C3 above the median (>1.23 g/L) increased odds of raised CMDS score, when controlled for age, BMI, ethnicity, and smoking (OR = 6.56, 95% CI: 1.63, 26.47, p = 0.008).

conclusionThe prevalence of MUO was lower using CMDS than EOSS. C3 and CRP may be useful clinical biomarkers of risk or treatment targets in women with obesity.

Indexed as

Cardiovascular DiseasesMetabolic SyndromeBiomarkersBody Mass IndexC-Reactive ProteinCross-Sectional StudiesFemaleHumansInflammationObesityPhenotypeRisk FactorsBiomarkersC-Reactive ProteinInflammationMetabolic healthObesityWomen’s health

Identifiers

PMID35306495
PMCPMC9533462
OpenAlexW4221008811

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.