Evidence map›Paper›PMID 39140764›Full record

ArticleJournal of diabetes investigation2024

Association of biomarkers and Barthel Index with occurrence of age-related adverse health outcomes in individuals with diabetes.

Kotaro Umamoto, Ryotaro Bouchi, Kotaro Soeda, Shosuke Satake, Tohru Hosoyama, Mitsuru Ohsugi, Kohjiro Ueki, Hiroshi Kajio

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of diabetes investigation, 2024. 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
–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. 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.

Kotaro UmamotoDepartment of Diabetes, Endocrinology and Metabolism, Center Hospital, National Center for Global Health and Medicine, Tokyo, Japan.
Ryotaro BouchiDepartment of Diabetes, Endocrinology and Metabolism, Center Hospital, National Center for Global Health and Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-7664-4342
Kotaro SoedaDiabetes Research Center, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan.
Shosuke SatakeDepartment of Geriatric Medicine, National Center for Geriatrics and Gerontology, Aichi, Japan.
Tohru HosoyamaDepartment of Musculoskeletal Disease, The Geroscience Research Center, National Center for Geriatrics and Gerontology, Aichi, Japan.
Mitsuru OhsugiDepartment of Diabetes, Endocrinology and Metabolism, Center Hospital, National Center for Global Health and Medicine, Tokyo, Japan.
Kohjiro UekiDepartment of Diabetes, Endocrinology and Metabolism, Center Hospital, National Center for Global Health and Medicine, Tokyo, Japan.
Hiroshi KajioDepartment of Diabetes, Endocrinology and Metabolism, Center Hospital, National Center for Global Health and Medicine, Tokyo, Japan.

Funding

Japan Agency for Medical Research and Development JP22ek0210173Japan Agency for Medical Research and Development JP22tm0724606Japan Agency for Medical Research and Development JP23ek0210173Japan Agency for Medical Research and Development JP23tm0724608Japan Health Research Promotion Bureau 2021-B-01
6 · The paper itself

Abstract

AIMS/

introductionThe clinical significance of age-related biomarkers in patients with diabetes has not been fully elucidated. In this study, we aimed to establish models to predict the progression of aging in patients with diabetes using biomarkers. MATERIALS AND

methodsThis single-center, retrospective cohort study included 115 Japanese patients with diabetes aged ≥60 years. Age-related adverse health outcomes were defined as emergency hospitalization, any increase in the level of nursing care certification, admission to a nursing home or death. The associations of age-related biomarker levels (adiponectin, growth differentiation factor 15 [GDF15], C-X-C motif chemokine ligand 9 and apelin) and clinical indicators with age-related adverse health outcomes were evaluated. Factors that predominantly influenced the occurrence of age-related adverse health outcomes were explored using the Cox proportional hazards model.

resultsThe mean age of the 115 participants was 73 years, 50.6% were men, the mean body mass index and hemoglobin A1c level were 25.3 kg/m

conclusionsThe measurement of GDF15 and adiponectin levels and the Barthel Index might be useful for predicting age-related adverse health outcomes in patients with diabetes.

Indexed as

BiomarkersDiabetes MellitusGrowth Differentiation Factor 15AdiponectinAgedAged, 80 and overAgingFemaleHumansJapanMaleMiddle AgedPrognosisRetrospective StudiesAdiponectinBiomarkersGDF15 protein, humanGrowth Differentiation Factor 15AgingBiomarkerDiabetes

Identifiers

PMID39140764
PMCPMC11527827

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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.