Evidence map›Paper›PMID 40455444›Full record

ArticleJAMA network open2025

Income and Severe Hypoglycemia in Type 2 Diabetes.

Misook Kim, Kyungdo Han, Kyuna Lee, Bongseong Kim, Kyuho Kim, Seung-Hyun Ko, Yu-Bae Ahn, Seung Yeon Kim, Seung-Hwan Lee, Jae-Seung Yun

Abstract read
In one paragraph

Article in JAMA network open, 2025. 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. Article
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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

10 authors.

Misook KimDivision of Endocrinology and Metabolism, Department of Internal Medicine, Seoul St Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Kyungdo HanDepartment of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea.
Kyuna LeeDepartment of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea.
Bongseong KimDepartment of Biomedicine and Health Science, The Catholic University of Korea, Seoul, Korea.
Kyuho KimDivision of Endocrinology and Metabolism, Department of Internal Medicine, St Vincent's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Seung-Hyun KoDivision of Endocrinology and Metabolism, Department of Internal Medicine, St Vincent's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Yu-Bae AhnDivision of Endocrinology and Metabolism, Department of Internal Medicine, St Vincent's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Seung Yeon KimDivision of Endocrinology and Metabolism, Department of Internal Medicine, Seoul St Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Seung-Hwan LeeDivision of Endocrinology and Metabolism, Department of Internal Medicine, Seoul St Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Jae-Seung YunDivision of Endocrinology and Metabolism, Department of Internal Medicine, St Vincent's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Socioeconomic disparities are increasingly recognized as key factors in health outcomes among patients with type 2 diabetes. Understanding how income level and its changes are associated with severe hypoglycemia risk may inform targeted interventions and policy decisions. Objective: To evaluate the association between income level, including changes in income status, and the risk of severe hypoglycemia, and to assess whether this association varies across key subgroups in middle-aged adults. Design, Setting, and Participants: This retrospective cohort study included adults aged 40 to 70 years with type 2 diabetes from the Korean National Health Information Database (NHID) who underwent health examinations from 2015 to 2016. Participants aged 40 to 70 years with type 2 diabetes and valid income information were recruited between 2006 and 2010 from the UK Biobank (UKBB) and were included for sensitivity analysis. Data were analyzed from January 2023 to September 2024. Exposures: Participants were categorized into annual income quartiles (NHID) or self-reported income brackets (UKBB). In the NHID, medical aid beneficiaries (ie, those receiving government medical aid due to income below 40% of the median income and limited assets) were identified, and income changes over a 5-year period were assessed. Main Outcomes and Measures: Severe hypoglycemia requiring medical intervention. Results: Among 1 838 362 adults with type 2 diabetes from the NHID (mean [SD] age, 57.1 [8.1] years; 1 157 263 [63.0%] male) and 17 287 participants from the UKBB (mean [SD] age, 56.9 [6.8] years; 11 522 [66.7%] male), lower income was associated with a higher risk of severe hypoglycemia (NHID: hazard ratio [HR], 2.50; 95% CI, 2.33-2.57; UKBB: HR, 5.38; 95% CI, 1.72-16.85). In the NHID, individuals whose income increased from the lowest quartile or medical aid status to the fourth quartile over 5 years had a significantly lower risk (HR, 0.74; 95% CI, 0.67-0.81; P for trend <.001), whereas receiving medical aid for at least 1 year was associated with a significantly higher risk (HR, 1.71; 95% CI, 1.54-1.89). The association between income and severe hypoglycemia was consistently greater in men, individuals not using insulin, those without chronic kidney disease, and those with a shorter duration of diabetes. Conclusions and Relevance: In this cohort study of adults with type 2 diabetes, low income was found to be a significant factor associated with risk for severe hypoglycemia. Addressing socioeconomic disparities and implementing targeted interventions may help reduce the incidence and severity of hypoglycemia.

Indexed as

Diabetes Mellitus, Type 2HypoglycemiaIncomeAdultAgedFemaleHumansMaleMiddle AgedRepublic of KoreaRetrospective StudiesRisk Factors

Identifiers

PMID40455444
PMCPMC12131101

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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.