Evidence map›Paper›PMID 30890169›Full record

Observational studyCardiovascular diabetology2019

Weight change and mortality and cardiovascular outcomes in patients with new-onset diabetes mellitus: a nationwide cohort study.

Mee Kyoung Kim, Kyungdo Han, Eun Sil Koh, Eun Sook Kim, Min-Kyung Lee, Ga Eun Nam, Hyuk-Sang Kwon

Abstract readComparative StudyObservational Study
In one paragraph

Observational study in Cardiovascular diabetology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 3 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

35 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Glucagon-like Peptide-1 Receptor Agonists and Cardioprotective Benefit in Patients with Type 2 Diabetes Without Baseline Metformin: A Systematic Review and Update Meta-analysis.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2021 · on this map
    Pooled it
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  8. Weight change and diabetes risk following breast cancer: a nationwide cohort study.Journal of cancer survivorship : research and practice · 2025
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  12. Review
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  15. Factors Affecting High Body Weight Variability.Journal of obesity & metabolic syndrome · 2023
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  19. Weight Change, Lifestyle, and Mortality in Patients With Type 2 Diabetes.The Journal of clinical endocrinology and metabolism · 2022
    Observational
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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.

Mee Kyoung KimDivision of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, #10 63-ro, Yeongdeungpo-gu, Seoul, 07345, South Korea.
Kyungdo HanDepartment of Medical Statistics, College of Medicine, The Catholic University of Korea, Seoul, 06591, South Korea.
Eun Sil KohDivision of Nephrology, Department of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, 07345, South Korea.
Eun Sook KimDivision of Endocrinology and Metabolism, Department of Internal Medicine, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Incheon, 21431, South Korea.
Min-Kyung LeeDivision of Endocrinology and Metabolism, Department of Internal Medicine, Myongji Hospital, Goyang-Si, Gyeonggi-do, 10475, South Korea.
Ga Eun NamDepartment of Family Medicine, Sahmyook Medical Center, Seoul, 02500, South Korea.
Hyuk-Sang KwonDivision of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, #10 63-ro, Yeongdeungpo-gu, Seoul, 07345, South Korea. drkwon@catholic.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBecause weight control is a cornerstone of diabetes management, it is important to understand the relationship of weight change to risk of cardiovascular disease (CVD) among patients with type 2 diabetes mellitus (DM). We aimed to investigate whether changes in weight early after diagnosis influence the incidence of CVD and all-cause mortality in patients with type 2 DM.

methodsUsing nationally representative data from the Korean National Health Insurance System, 173,246 subjects with new-onset DM who underwent health examinations during 2007-2012 were included. Weight was measured at the time of diabetes diagnosis and 2 years later. Weight change over 2 years was divided into five categories of 5% weight change, from weight loss ≥ - 10% to weight gain ≥ 10%.

resultsThere were 3113 deaths (1.8%), 2060 cases of stroke (1.2%), and 1767 myocardial infarctions (MIs) (1.0%) during a median follow-up of 5.5 years. Subjects with weight gain ≥ 10% had a significantly higher risk of stroke (hazard ratio [HR] 1.51, 95% confidence interval [CI] 1.23-1.84), compared with the group with stable weight. There was no significant association between weight change after diagnosis of DM and incident MI. All-cause mortality showed a U-shaped curve according to weight change. The group with weight loss ≥ - 10% had the highest HR for all-cause mortality (HR 1.86; 95% CI 1.61-2.14) and the HR for weight gain ≥ 10% was 1.61 (95% CI 1.37-1.89).

conclusionsWeight changes of more than 10% after diabetes diagnosis were associated with higher mortality and over 10% weight gain was associated with increased risk of stroke.

Indexed as

Weight GainWeight LossAdultAgedCardiovascular DiseasesCause of DeathDatabases, FactualDiabetes Mellitus, Type 2FemaleHumansHypoglycemic AgentsIncidenceInsulinMaleMiddle AgedObesityHypoglycemic AgentsInsulinCardiovascular diseaseType 2 diabetes mellitusWeight changes

Identifiers

PMID30890169
PMCPMC6423842

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.