Evidence map›Paper›PMID 42410678›Full record

ArticleJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2026

Endothelial estrogen receptor alpha (ESR1) regulates cerebral cavernous malformation pathogenesis via MEKK3-KLF signaling pathway.

Hamidreza Sadegh, Liwenyu Chen, Suyun Yu, Sobia Idrees, Matthew Foley, Keshav Raj Paudel, Jia Li, Yang Zhao, Jaesung P Choi

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Article in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Hamidreza SadeghFaculty of Science, School of Life Sciences, Centre for Inflammation, Centenary Institute and University of Technology Sydney (UTS), Sydney NSW, Australia.
Liwenyu ChenSchool of Medicine, Nanjing University of Chinese Medicine, Nanjing, China.
Suyun YuSchool of Medicine, Nanjing University of Chinese Medicine, Nanjing, China.
Sobia IdreesFaculty of Science, School of Life Sciences, Centre for Inflammation, Centenary Institute and University of Technology Sydney (UTS), Sydney NSW, Australia.
Matthew FoleySydney Microscopy & Microanalysis, The University of Sydney, Camperdown, NSW, Australia.
Keshav Raj PaudelFaculty of Science, School of Life Sciences, Centre for Inflammation, Centenary Institute and University of Technology Sydney (UTS), Sydney NSW, Australia.
Jia LiCurtin Medical School, Curtin Medical Research Institute, Curtin University, Bentley, WA, Australia.
Yang ZhaoSchool of Medicine, Nanjing University of Chinese Medicine, Nanjing, China.
Jaesung P ChoiFaculty of Science, School of Life Sciences, Centre for Inflammation, Centenary Institute and University of Technology Sydney (UTS), Sydney NSW, Australia.ORCID 0000-0002-0135-8632

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cerebral cavernous malformations (CCMs) are common brain hemangioma that can occur sporadically or be inherited. CCM is one of the major causes of hemorrhagic stroke and neurological deficits in children. There are no pharmacological treatments for CCM. Clinical observations suggest that estrogen may have important roles in CCM, however, it has not been investigated. Hence, we investigated the role of estrogen and its nuclear receptors estrogen receptor-α (

Indexed as

Cerebral cavernous malformationESR1estrogenKRIT1stroke

Identifiers

PMID42410678
PMCPMC13388494

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.