Evidence map›Paper›PMID 36727163›Full record

ArticleDiabetes & metabolism journal2023

Cardiovascular Outcomes according to Comorbidities and Low-Density Lipoprotein Cholesterol in Korean People with Type 2 Diabetes Mellitus.

Min Kyong Moon, Junghyun Noh, Eun-Jung Rhee, Sang Hyun Park, Hyeon Chang Kim, Byung Jin Kim, Hae Jin Kim, Seonghoon Choi, Jin Oh Na, Young Youl Hyun and 3 more

Open access · goldAbstract read
In one paragraph

Article in Diabetes & metabolism journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 10 institutions in 1 country.

Min Kyong MoonDepartment of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea.
Junghyun NohDivision of Endocrinology and Metabolism, Department of Internal Medicine, Inje University Ilsan Paik Hospital, Goyang, Korea.
Eun-Jung RheeDivision of Endocrinology and Metabolism, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.
Sang Hyun ParkDepartment of Medical Statistics, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Hyeon Chang KimDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea.
Byung Jin KimDivision of Cardiology, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.
Hae Jin KimDepartment of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, Korea.
Seonghoon ChoiDivision of Cardiology, Department of Internal Medicine, Hallym University Kangnam Sacred Heart Hospital, Seoul, Korea.
Jin Oh NaCardiovascular Center, Division of Cardiology, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Korea.
Young Youl HyunDivision of Nephrology, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.
Bum Joon KimDepartment of Neurology, Stroke Center, Asan Medical Center, Seoul, Korea.
Kyung-Do HanDepartment of Statistics and Actuarial Science, Soongsil University, Seoul, Korea.
In-Kyung JeongDivision of Endocrinology and Metabolism, Department of Internal Medicine, Kyung Hee University Hospital at Gangdong, College of Medicine, Kyung Hee University, Seoul, Korea.
Asan Medical Center · KRKangbuk Samsung Hospital · KRYonsei University · KRCatholic University of Korea · KRHallym University Kangnam Sacred Heart Hospital · KRInje University Ilsan Paik Hospital · KRKorea University Medical Center · KRKyung Hee University Hospital at Gangdong · KRSeoul National University · KRSoongsil University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are no clear data to support the cardiovascular (CV) risk categories and low-density lipoprotein cholesterol (LDL-C) treatment goals in Korean people with type 2 diabetes mellitus (T2DM). We evaluated the incidence of cardiovascular disease (CVD) according to comorbidities and suggested LDL-C treatment goals in Korean people with T2DM in nationwide cohort data.

methodsUsing the Korean National Health Insurance Service database, 248,002 people aged 30 to 90 years with T2DM who underwent routine health check-ups during 2009 were included. Subjects with previous CVD were excluded from the study. The primary outcome was incident CVD, defined as a composite of myocardial infarction and ischemic stroke during the follow-up period from 2009 to 2018.

resultsThe mean age of the study participants was 59.6±10.9 years, and median follow-up period was 9.3 years. CVD incidence increased in the order of DM duration of 5 years or more (12.04/1,000 person-years), hypertension (HT) (12.27/1,000 personyears), three or more CV risk factors (14.10/1,000 person-years), and chronic kidney disease (18.28/1,000 person-years). The risk of incident CVD increased linearly from an LDL-C level of ≥70 mg/dL in most patients with T2DM. In T2DM patients without HT or with a DM duration of less than 5 years, the CVD incidence increased from LDL-C level of ≥100 mg/dL.

conclusionFor primary prevention of CVD in Korean adults with T2DM, it can be helpful to lower LDL-C targets when there are chronic kidney disease, HT, a long duration of diabetes mellitus, or three or more CV risk factors.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2HypertensionAdultAgedCholesterol, LDLHumansMiddle AgedRepublic of KoreaRisk FactorsCholesterol, LDLCardiovascular diseasesCholesterolDiabetes mellitusDyslipidemiasKorea

Identifiers

PMID36727163
PMCPMC9925148
OpenAlexW4318924375

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.