Evidence map›Paper›PMID 39767255›Full record

ArticleDiagnostics (Basel, Switzerland)2024

Health and Liver Diagnostic Markers Influencing Glycemia in Subjects with Prediabetes: Preview Study.

Omar Ramos-Lopez, Diego Martinez-Urbistondo, Santiago Navas-Carretero, Ruixin Zhu, Maija Huttunen-Lenz, Gareth Stratton, Teodora Handjieva-Darlenska, Svetoslav Handjiev, Jouko Ensio Sundvall, Marta P Silvestre and 13 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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 synthesis or guideline pooled it.

  1. Pooled it
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

23 authors.

Omar Ramos-LopezMedicine and Psychology School, Autonomous University of Baja California, Tijuana 22390, Baja California, Mexico.ORCID 0000-0002-2505-1555
Diego Martinez-UrbistondoInternal Medicine Department, Clinica Universidad de Navarra, 28027 Madrid, Spain.ORCID 0000-0002-0530-7349
Santiago Navas-CarreteroCentre for Nutrition Research, Department of Nutrition, Food Science, Physiology and Toxicology, University of Navarra, 31009 Pamplona, Spain.ORCID 0000-0002-5163-2230
Ruixin ZhuDepartment of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, DK-2200 Copenhagen, Denmark.
Maija Huttunen-LenzInstitute for Nursing Science, University of Education Schwäbisch Gmünd, 73525 Schwäbisch Gmünd, Germany.ORCID 0000-0002-1034-1613
Gareth StrattonApplied Sports, Technology, Exercise and Medicine (A-STEM) Research Centre, Swansea University, Swansea SA1 8EN, UK.ORCID 0000-0001-5618-0803
Teodora Handjieva-DarlenskaDepartment of Pharmacology and Toxicology, Medical University of Sofia, 1000 Sofia, Bulgaria.
Svetoslav HandjievDepartment of Pharmacology and Toxicology, Medical University of Sofia, 1000 Sofia, Bulgaria.
Jouko Ensio SundvallFinnish Institute for Health and Welfare, 00271 Helsinki, Finland.
Marta P SilvestreHuman Nutrition Unit, Department of Medicine, School of Biological Sciences, University of Auckland, Auckland 1024, New Zealand.ORCID 0000-0001-9327-2897
Elli JaloDepartment of Food and Nutrition, University of Helsinki, 00014 Helsinki, Finland.ORCID 0000-0002-9987-1716
Kirsi H PietiläinenObesity Research Unit, Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland.ORCID 0000-0002-8522-1288
Tanja C AdamDepartment of Nutrition and Movement Sciences, NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University, 6200 Maastricht, The Netherlands.
Margriet Westerterp-PlantengaDepartment of Nutrition and Movement Sciences, NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University, 6200 Maastricht, The Netherlands.ORCID 0000-0002-6326-3102
Elizabeth SimpsonMRC/ARUK Centre for Musculoskeletal Ageing Research, ARUK Centre for Sport, Exercise and Osteoarthritis, National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, Nottingham DE22 3DT, UK.
Ian MacDonaldMRC/ARUK Centre for Musculoskeletal Ageing Research, ARUK Centre for Sport, Exercise and Osteoarthritis, National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, Nottingham DE22 3DT, UK.
Moira A TaylorNIHR Nottingham Biomedical Research Centre at Nottingham University Hospitals NHS Trust and University of Nottingham, The David Greenfield Human Physiology Unit, Division of Physiology, Pharmacology and Neuroscience, School of Life Sciences, Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham NG1 5DU, UK.ORCID 0000-0003-4100-8343
Sally D PoppittHuman Nutrition Unit, Department of Medicine, School of Biological Sciences, University of Auckland, Auckland 1024, New Zealand.ORCID 0000-0002-2214-8378
Wolfgang SchlichtExercise and Health Sciences, University of Stuttgart, 70569 Stuttgart, Germany.ORCID 0000-0002-2134-2259
Jennie Brand-MillerSchool of Life and Environmental Sciences and Charles Perkins Centre, University of Sydney, Sydney, NSW 2006, Australia.ORCID 0000-0002-6797-8754
Mikael FogelholmDepartment of Food and Nutrition, University of Helsinki, 00014 Helsinki, Finland.ORCID 0000-0001-8110-102X
Anne RabenDepartment of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, DK-2200 Copenhagen, Denmark.ORCID 0000-0001-5229-4491
J Alfredo MartinezCentre for Nutrition Research, Department of Nutrition, Food Science, Physiology and Toxicology, University of Navarra, 31009 Pamplona, Spain.

Funding

European Research Council 312057
6 · The paper itself

Abstract

introductionGlucose homeostasis may be dependent on liver conditions and influence health-related markers and quality of life (QoL) objective measurements. This study aimed to analyze the interactions of glycemia with liver and health status in a prediabetic population. SUBJECTS AND

methodsThis study included 2220 overweight/obese prediabetics from the multinational PREVIEW project. Anthropometrics; clinical, metabolic and other health-related markers; and QoL variables were analyzed. Univariate and multilinear-adjusted regression models were run to explain the interrelationships and effect modification between glycemia, health-related QoL (applying SF-12) and metabolic/liver health (using the HSI, a putative marker of fatty liver).

resultsRelevant age/sex interactions were found concerning the levels of insulin, HOMA-IR, C peptide and transaminases in this prediabetic population. Multivariate models identified age, sex, glucose, WC and QoL as important predictors of HSI variability (adj. R value = 0.1393,

conclusionGlycemia associations with the QoL status and liver metabolism markers were evidenced, with clinical implications for diabetes and liver disease precision management given the modification of the QoL outcomes depending on the liver status and glycemia concentrations. Notably, independent associations of circulating glucose with age, sex, adiposity, inflammation and C peptide levels were found.

Indexed as

adiposityfatty liverprediabetesquality of life

Identifiers

PMID39767255
PMCPMC11675722

What OpenQuestion holds

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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.