Evidence map›Paper›PMID 37568534›Full record

ReviewJournal of clinical medicine2023

Unraveling the Links between Chronic Inflammation, Autoimmunity, and Spontaneous Cervicocranial Arterial Dissection.

Hao Li, Shiyao Xu, Beibei Xu, Yutong Zhang, Jun Yin, Yi Yang

Open access · goldAbstract readReview
In one paragraph

Review in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 9 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Hao LiDepartment of Neurology, The First Affiliated Hospital of Soochow University, Suzhou 215006, China.
Shiyao XuThe Institute of Neuroscience, Soochow University, Suzhou 215006, China.
Beibei XuDepartment of Neurology, The First Affiliated Hospital of Soochow University, Suzhou 215006, China.
Yutong ZhangThe Institute of Neuroscience, Soochow University, Suzhou 215006, China.
Jun YinDepartment of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou 215006, China.
Yi YangDepartment of Neurology, The First Affiliated Hospital of Soochow University, Suzhou 215006, China.
Soochow University · CNFirst Affiliated Hospital of Soochow University · CN

Funding

National Natural Science Foundation of China 82201446Natural Science Foundation of Jiangsu Province of China BK20220249
6 · The paper itself

Abstract

Advances in imaging techniques have led to a rise in the diagnosis of spontaneous cervicocranial arterial dissection (SCCAD), which is now considered a common cause of stroke in young adults. However, our understanding of the pathophysiological mechanisms underlying SCCAD remains limited. Prior studies have proposed various factors contributing to arterial wall weakness or stress as potential causes for SCCAD. A combination of biopsies, case reports, and case-control studies suggests that inflammatory changes and autoimmunity may play roles in the cascade of events leading to SCCAD. In this review, we examine the close relationship between SCCAD, chronic inflammation, and autoimmune diseases, aiming to explore potential underlying pathophysiological mechanisms connecting these conditions. While some relevant hypotheses and studies exist, direct evidence on this topic is still relatively scarce. Further investigation of the underlying mechanisms in larger clinical cohorts is needed, and the exploration of animal models may provide novel insights.

Indexed as

autoimmunecervicocranial arterial dissectioninflammatory

Identifiers

PMID37568534
PMCPMC10419694
OpenAlexW4385603045

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.