Evidence map›Paper›PMID 32218498›Full record

Observational studyScientific reports2020

Temporal trajectories of accompanying comorbidities in patients with type 2 diabetes: a Korean nationwide observational study.

Eugene Jeong, Namgi Park, Yujeong Kim, Ja Young Jeon, Wou Young Chung, Dukyong Yoon

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 16% of its field
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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Investigating the Antidiabetic Effects ofFood science & nutrition · 2026
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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

6 authors at 2 institutions in 2 countries.

Eugene JeongDepartment of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA.
Namgi ParkDepartment of Biomedical Informatics, Ajou University School of Medicine, Suwon, Gyeonggi-do, Republic of Korea.
Yujeong KimDepartment of Biomedical Informatics, Ajou University School of Medicine, Suwon, Gyeonggi-do, Republic of Korea.
Ja Young JeonDepartment of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, Gyeonggi-do, Republic of Korea.
Wou Young ChungDepartment of Pulmonology and Critical Care Medicine, Ajou University School of Medicine, Suwon, Gyeonggi-do, Republic of Korea.
Dukyong YoonDepartment of Biomedical Informatics, Ajou University School of Medicine, Suwon, Gyeonggi-do, Republic of Korea. d.yoon.ajou@gmail.com.
Ajou University · KRVanderbilt University · US

Funding

Vanderbilt Biomedical Informatics Training ProgramT15LM007450 · NLM · VANDERBILT UNIVERSITY · PI Jessica S. Ancker, Bradley A. Malin · 2002 to 2026
$19.7M
NLM NIH HHS T15 LM007450
6 · The paper itself

Abstract

Type 2 diabetes mellitus is a major concern globally and well known for increasing risk of complications. However, diabetes complications often remain undiagnosed and untreated in a large number of high-risk patients. In this study based on claims data collected in South Korea, we aimed to explore the diagnostic progression and sex- and age-related differences among patients with type 2 diabetes using time-considered patterns of the incidence of comorbidities that evolved after a diagnosis of type 2 diabetes. This study compared 164,593 patients who met the full criteria for type 2 diabetes with age group-, sex-, encounter type-, and diagnosis date-matched controls who had not been diagnosed with type 2 diabetes. We identified 76,423 significant trajectories of four diagnoses from the dataset. The top 30 trajectories with the highest average relative risks comprised microvascular, macrovascular, and miscellaneous complications. Compared with the trajectories of male groups, those of female groups included relatively fewer second-order nodes and contained hubs. Moreover, the trajectories of male groups contained diagnoses belonging to various categories. Our trajectories provide additional information about sex- and age-related differences in the risks of complications and identifying sequential relationships between type 2 diabetes and potentially complications.

Indexed as

AdultAgedComorbidityDiabetes ComplicationsDiabetes Mellitus, Type 2Disease ProgressionFemaleHumansIncidenceMaleMiddle AgedRepublic of KoreaSex CharacteristicsSpatio-Temporal Analysis

Identifiers

PMID32218498
PMCPMC7099011
OpenAlexW3014019752

What OpenQuestion 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 OpenQuestion graph.