Evidence map›Paper›PMID 41023180›Full record

ArticleScientific reports2025

Burden of subarachnoid hemorrhage in Asia and ARIMA model prediction trends from 1990 to 2021.

Yuntao Li, Minmin Wu, Luwen Zhu

Abstract read
In one paragraph

Article in Scientific reports, 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
  2. Review
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.

Yuntao LiHeilongjiang University of Traditional Chinese Medicine, Harbin, China.
Minmin WuHeilongjiang University of Traditional Chinese Medicine, Harbin, China.
Luwen ZhuRehabilitation Center, The Second Affiliated Hospital of Heilongjiang, University of Chinese Medicine, Harbin, China. zhuluwen1983@126.com.

Funding

the Natural Science Foundation of Heilongjiang Province LH2022H081
6 · The paper itself

Abstract

Subarachnoid hemorrhage (SAH) is a rare but serious stroke subtype that accounts for approximately 5% of all strokes. This study analyzed SAH epidemiology in Asia from 1990 to 2021 using the Global Burden of Disease (GBD) 2021 data. This study assessed the burden of SAH in Asia using four indicators: incidence, prevalence, mortality, and disability-adjusted life years (DALYs). An autoregressive integrated moving average (ARIMA) model was used to conduct a long-term trend analysis and forecast the changing trends of various indicators from 2022 to 2041. Between 1990 and 2021, the age-standardized incidence rates (ASIR) of SAH in Asia increased and then decreased, while the age-standardized prevalence rates (ASPR), age-standardized mortality rates (ASMR), and age-standardized disability-adjusted life years rates (ASDR) of SAH continued to decline. The Arima model predictions suggest that Asian age-standardized rates will typically show a decreasing trend over the next 20 years, except for the ASIR, which shows an increasing trend. Over the next 20 years, the ASIR of SAH in Asia is expected to increase. The ASPR, ASMR, and ASDR were expected to show decreasing trends. The burden of SAH in older patients remains high, highlighting the need to strengthen the health management of the older population.

Indexed as

Subarachnoid HemorrhageAdultAgedAsiaCost of IllnessDisability-Adjusted Life YearsFemaleGlobal Burden of DiseaseHumansIncidenceMaleMiddle AgedPrevalenceQuality-Adjusted Life YearsAsiaGlobal burden of diseaseStrokeSubarachnoid haemorrhage

Identifiers

PMID41023180
PMCPMC12479749

What OpenQuestion holds

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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.