Evidence map›Paper›PMID 35732472›Full record

ArticleNeurointervention2022

Trends in Mortality from Hemorrhagic Stroke in Korea from 2012 to 2020.

Kwang-Chun Cho, Hasung Kim, Sang Hyun Suh

Open access · diamondAbstract read
In one paragraph

Article in Neurointervention, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  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

3 authors at 2 institutions in 1 country.

Kwang-Chun ChoDepartment of Neurosurgery, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea.
Hasung KimData Science Team, Hanmi Pharm. Co., Ltd., Seoul, Korea.
Sang Hyun SuhDepartment of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Yonsei University · KRHanmi Pharmaceutical (South Korea) · KR

Funding

Korean Society of Interventional Neuroradiology
6 · The paper itself

Abstract

purposeTo analyze trends in mortality rates from hemorrhagic stroke (HS) according to HS subtypes, using nationwide data from January 2012 to December 2020. MATERIALS AND

methodsWe used data from the National Health Claims Database provided by the National Health Insurance Service for 2012-2020 using the International Classification of Disease. The age-adjusted mortality rates of HS, which included subarachnoid hemorrhage (SAH) and intracerebral hemorrhage (ICH), were calculated, and additional analyses were conducted according to age and sex.

resultsThe age-adjusted mortality rates for HS, SAH, and ICH decreased substantially in both sexes between 2012 and 2020. During the study period, mortality rates for HS decreased from 8.87 deaths per 100,000 inhabitants to 6.27 deaths per 100,000 inhabitants. Regarding SAH, mortality rates decreased from 3.72 deaths per 100,000 inhabitants to 2.57 deaths per 100,000 inhabitants. Concerning ICH, mortality rates decreased from 6.91 deaths per 100,000 inhabitants to 4.75 deaths per 100,000 inhabitants. The average annual percentage change for HS, SAH, and ICH was -0.04, -0.04, and -0.05, respectively. Mortality rates from HS, SAH, and ICH in both sexes decreased from 2012 to 2020 in all age groups.

conclusionIn Korea, the age-adjusted mortality rate of HS, SAH, and ICH demonstrated a declining trend in both sexes and across all age groups. These results may aid in the design and improvement of preventive strategies.

Indexed as

Hemorrhagic strokeKoreaMortality rateTrends

Identifiers

PMID35732472
PMCPMC9256467
OpenAlexW4283332824

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

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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.