Evidence map›Paper›PMID 36894326›Full record

ArticleJournal of obesity & metabolic syndrome2023

Glucose Control in Korean Patients with Type 2 Diabetes Mellitus according to Body Mass Index.

Ye-Lim Shin, Heesoh Yoo, Joo Young Hong, Jooeun Kim, Kyung-do Han, Kyu-Na Lee, Yang-Hyun Kim

Abstract read
In one paragraph

Article in Journal of obesity & metabolic syndrome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Ye-Lim ShinDepartment of Medicine, Korea University College of Medicine, Seoul, Korea.
Heesoh YooDepartment of Medicine, Korea University College of Medicine, Seoul, Korea.
Joo Young HongDepartment of Medicine, Korea University College of Medicine, Seoul, Korea.
Jooeun KimDepartment of Medicine, Korea University College of Medicine, Seoul, Korea.
Kyung-do HanDepartment of Statistics and Actuarial Science, Soongsil University, Seoul, Korea.
Kyu-Na LeeDepartment of Biomedicine & Health Science, The Catholic University of Korea, Seoul, Korea.
Yang-Hyun KimDepartment of Family Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-3548-8758

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The prevalence of type 2 diabetes mellitus has continued to rise. Although many studies have focused on the connection between weight loss and glucose control, only a few studies have investigated the association between body mass index (BMI) and glucose control status. We examined the association between glucose control and obesity. Methods: We analyzed 3,042 participants with diabetes mellitus who were aged ≥19 years when they participated in the 2014 to 2018 Korean National Health and Nutrition Examination Survey. The participants were divided into four groups according to their BMI (<18.5, 18.5-23, 23-25, and ≥25 kg/m Results: Overweight males aged ≥60 years had a high odds ratio (OR) for degraded glucose control (OR, 1.706; 95% confidence interval [CI], 1.151 to 2.527). Among obese females, those in the ≥60 years age group showed an increased OR for uncontrolled diabetes (OR, 1.516; 95% CI, 1.025 to 1.892). Moreover, in females, the OR for uncontrolled diabetes tended to increase as the BMI increased ( Conclusion: Obesity is associated with uncontrolled diabetes in female patients with diabetes who are aged ≥60 years. Physicians should closely monitor this group for diabetes control.

Indexed as

Body mass indexDiabetes mellitusGlucose controlGlycated hemoglobinObesity

Identifiers

PMID36894326
PMCPMC10088554

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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.