Evidence map›Paper›PMID 31581351›Full record

ArticleJournal of diabetes investigation2020

Absolute risk of acute coronary syndrome after severe hypoglycemia: A population-based 2-year cohort study using the National Database in Japan.

Yuichi Nishioka, Sadanori Okada, Tatsuya Noda, Tomoya Myojin, Shinichiro Kubo, Shosuke Ohtera, Genta Kato, Tomohiro Kuroda, Hitoshi Ishii, Tomoaki Imamura

Open access · goldAbstract read
In one paragraph

Article in Journal of diabetes investigation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
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  3. Review
  4. Review
  5. Article
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  8. Article
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  11. Cardiovascular disease in patients with type 2 diabetes.Journal of diabetes investigation · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Inpatient Hypoglycemia: The Challenge Remains.Journal of diabetes science and technology · 2020
    Review
  18. 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

10 authors at 2 institutions in 1 country.

Yuichi NishiokaDepartment of Public Health, Health Management and Policy, Nara Medical University, Nara, Japan.ORCID https://orcid.org/0000-0002-1956-3925
Sadanori OkadaDepartment of Diabetology, Nara Medical University, Nara, Japan.
Tatsuya NodaDepartment of Public Health, Health Management and Policy, Nara Medical University, Nara, Japan.ORCID https://orcid.org/0000-0002-3652-7547
Tomoya MyojinDepartment of Public Health, Health Management and Policy, Nara Medical University, Nara, Japan.
Shinichiro KuboDepartment of Public Health, Health Management and Policy, Nara Medical University, Nara, Japan.
Shosuke OhteraDivision of Medical Information Technology and Administration Planning, Kyoto University Hospital, Kyoto, Japan.
Genta KatoSolutions Center for Health Insurance Claims, Kyoto University Hospital, Kyoto, Japan.
Tomohiro KurodaDivision of Medical Information Technology and Administration Planning, Kyoto University Hospital, Kyoto, Japan.
Hitoshi IshiiDepartment of Diabetology, Nara Medical University, Nara, Japan.ORCID https://orcid.org/0000-0002-6214-0557
Tomoaki ImamuraDepartment of Public Health, Health Management and Policy, Nara Medical University, Nara, Japan.
Nara Medical University · JPKyoto University Hospital · JP

Funding

Japan Agency for Medical Research and Development and Japan Society for the Promotion of Science KAKENHI JP18K17390Research for Infrastructure Construction of Studies with the Next Generation NDB Data to Create New Evidence from the Japan Agency for Medical Research and Development
6 · The paper itself

Abstract

AIMS/

introductionAlthough the epidemiological relationship between hypoglycemia and increased risk of acute coronary syndrome (ACS) has been well established, the time period for increased risk of ACS after a severe hypoglycemic episode remains unknown. The present study aimed to determine the ACS risk after a severe hypoglycemic episode. MATERIALS AND

methodsWe carried out a retrospective population-based cohort study based on national claims data in Japan. We retrieved data of diabetes patients aged ≥35 years collected from April 2014 to March 2016. The absolute risk of ACS was defined as the occurrence of an emergency percutaneous coronary intervention after a severe hypoglycemic episode.

resultsIn total, data of 7,909,626 patients were included in the analysis. The absolute risk of ACS was 2.9 out of 1,000 person-years in all patients. ACS risk in patients with severe hypoglycemic episodes was 3.0 out of 1,000 person-years. Severe hypoglycemic episodes increased the absolute risk of ACS in patients aged ≥70 years, but not in patients aged <70 years. The absolute risk of ACS was 10.6 out of 1,000 person-years within 10 days of a severe hypoglycemic episode. There was a significant trend between shorter duration after an episode and higher ACS risk.

conclusionsSevere hypoglycemia was associated with an increased risk of ACS in elderly diabetes patients. ACS risk increased with a shorter period after a severe hypoglycemic episode, suggesting that severe hypoglycemia leads to an increased risk of ACS in diabetes patients. These findings show that it is important to avoid severe hypoglycemia while treating diabetes, particularly in elderly patients.

Indexed as

Acute Coronary SyndromeAdultAgedAged, 80 and overCohort StudiesFemaleHumansHypoglycemiaJapanMaleMiddle AgedProportional Hazards ModelsRetrospective StudiesRisk AssessmentRisk FactorsAcute coronary syndromeDiabetesHypoglycemia

Identifiers

PMID31581351
PMCPMC7078084
OpenAlexW2977754847

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.