Evidence map›Paper›PMID 42952246›Full record

ArticleCNS spectrums2026

Global divergence of stroke and major depressive disorder: unveiling a potential "hidden stagnation" pattern through an integrated medicine perspective.

Kui Jia, Ling-Ling Qian, Fu-Cheng Zhao, Qian Sun, Meng-Meng Zhang, Yi-Fan Li

Abstract read
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Article in CNS spectrums, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Kui JiaHenan University of Chinese Medicine, China.ORCID https://orcid.org/0009-0008-4587-4306
Ling-Ling QianThe First Affiliated Hospital of Xinxiang Medical University, China.
Fu-Cheng ZhaoThe First Affiliated Hospital of Xinxiang Medical University, China.
Qian SunThe First Affiliated Hospital of Xinxiang Medical University, China.
Meng-Meng ZhangThe First Affiliated Hospital of Xinxiang Medical University, China.
Yi-Fan LiThe First Affiliated Hospital of Xinxiang Medical University, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMajor depressive disorder (MDD) is associated with increased stroke risk and can be conceptualized in Traditional Chinese Medicine (TCM) as emotional constraint or "Qi Stagnation" that may contribute to "Blood Stasis." However, the country-level ecological relationship between stroke burden and MDD prevalence remains unclear, and high-stroke settings may have under-recognized MDD because of differences in data availability, diagnostic practices, mental health services, and cultural symptom expression. This study quantifies this ecological association and interprets it through an Integrated Medicine framework.

methodsUsing Global Burden of Disease (GBD) 2023 data, we analyzed age-standardized stroke Disability-Adjusted Life Year (DALY) rates for all stroke and age-standardized prevalence rates for the GBD cause category of MDD across 204 countries and territories from 1990 to 2023. An exploratory Diagnostic Gap Score (ZStroke-ZMDD) was developed to identify countries and territories with disproportionate stroke burden relative to reported MDD prevalence.

resultsA negative ecological correlation emerged globally and strengthened over time (

conclusionsLow reported MDD prevalence in high-stroke countries and territories suggests a potential diagnostic, reporting, or data-quality mismatch rather than biological protection. These ecological findings do not prove that undiagnosed MDD causes stroke burden, but they support culturally adapted mental health screening in primary care, stroke-prevention clinics, and community health settings, with referral pathways for those who screen positive.

Indexed as

Major Depressive DisorderStrokeGlobal Burden of DiseaseGlobal HealthHumansIntegrative MedicinePrevalenceecological studyGlobal Burden of Diseaseintegrative medicinemajor depressive disorderstroke

Identifiers

PMID42952246
PMCPMC13732590

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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.