Evidence map›Paper›PMID 36200977›Full record

ArticleJournal of diabetes investigation2023

Sex differences in predictive factors for onset of type 2 diabetes in Japanese individuals: A 15-year follow-up study.

Mei Yoshimoto, Yukie Sakuma, Jun Ogino, Rie Iwai, Saburo Watanabe, Takeshi Inoue, Haruo Takahashi, Yoshifumi Suzuki, Daisuke Kinoshita, Koji Takemura and 5 more

Abstract read
In one paragraph

Article in Journal of diabetes investigation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. The Role of Adipokines in Inflammatory Mechanisms of Obesity.International journal of molecular sciences · 2022
    Review
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

15 authors.

Mei YoshimotoDepartment of Diabetes, Endocrine and Metabolic Diseases, Yachiyo Medical Center, Tokyo Women's Medical University, Yachiyo, Chiba, Japan.
Yukie SakumaClinical Research Support Center, Asahi General Hospital, Asahi, Chiba, Japan.
Jun OginoDepartment of Diabetes and Metabolic Diseases, Asahi General Hospital, Asahi, Chiba, Japan.
Rie IwaiDepartment of Clinical Laboratory, Asahi General Hospital, Asahi, Chiba, Japan.
Saburo WatanabeClinical Research Support Center, Asahi General Hospital, Asahi, Chiba, Japan.
Takeshi InoueClinical Research Support Center, Asahi General Hospital, Asahi, Chiba, Japan.
Haruo TakahashiClinical Research Support Center, Asahi General Hospital, Asahi, Chiba, Japan.
Yoshifumi SuzukiDepartment of Diabetes and Metabolic Diseases, Asahi General Hospital, Asahi, Chiba, Japan.
Daisuke KinoshitaDepartment of Diabetes and Metabolic Diseases, Asahi General Hospital, Asahi, Chiba, Japan.
Koji TakemuraDepartment of Diabetes and Metabolic Diseases, Asahi General Hospital, Asahi, Chiba, Japan.
Hidenori TakahashiPreventive Medicine Research Center, Asahi General Hospital, Asahi, Chiba, Japan.
Haruhisa ShimuraPreventive Medicine Research Center, Asahi General Hospital, Asahi, Chiba, Japan.
Tetsuya BabazonoDepartment of Medicine, Diabetes Center, School of Medicine, Tokyo Women's Medical University, Tokyo, Japan.ORCID https://orcid.org/0000-0001-8545-3604
Shouji YoshidaDepartment of Internal Medicine, Asahi General Hospital, Asahi, Chiba, Japan.
Naotake HashimotoPreventive Medicine Research Center, Asahi General Hospital, Asahi, Chiba, Japan.ORCID https://orcid.org/0000-0003-1377-1114

Funding

Japan Association for Diabetes Education and Care 2021-FND-005
6 · The paper itself

Abstract

AIMS/

introductionThe increase in the number of patients with type 2 diabetes mellitus is an important concern worldwide. The goal of this study was to investigate factors involved in the onset of type 2 diabetes mellitus, and sex differences in long-term follow up of people with normal glucose tolerance. MATERIALS AND

methodsOf 1,309 individuals who underwent screening at our facility in 2004, 748 individuals without diabetes were enrolled. Correlations of metabolic markers including serum adiponectin (APN) with onset of type 2 diabetes mellitus were examined over 15 years in these individuals.

resultsThe Kaplan-Meier curve for onset of type 2 diabetes mellitus for 15 years in the decreased APN group was examined. Hazard ratios for the APN concentration for onset of diabetes were 1.78 (95% confidence interval [CI] 1.20-2.63, P = 0.004) in all participants, 1.48 (95% CI 0.96-2.29, P = 0.078) for men and 3.01 (95% CI 1.37-6.59, P = 0.006) for women. During the follow-up period of 15 years, body mass index, estimated glomerular filtration rate, fatty liver, C-reactive protein and alanine aminotransferase in men were significant in univariate analysis, but only estimated glomerular filtration rate and fatty liver were significantly related to onset of type 2 diabetes mellitus in multivariate analysis. In women, body mass index, systolic blood pressure, triglyceride, fatty liver and APN were significant in univariate analysis, and APN was the only significant risk factor in multivariate analysis (P < 0.05).

conclusionsThere are differences between men and women with regard to targets for intervention to prevent the onset of type 2 diabetes mellitus. Individuals requiring intensive intervention should be selected with this finding to maximize the use of limited social and economic resources.

Indexed as

Diabetes Mellitus, Type 2Fatty LiverAdiponectinFemaleFollow-Up StudiesHumansJapanMaleRisk FactorsSex FactorsAdiponectinAdiponectinGender differenceOnset of type 2 diabetes

Identifiers

PMID36200977
PMCPMC9807159

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.