Evidence map›Paper›PMID 40124476›Full record

ArticleiScience2025

Nomogram to predict 1-year cognitive decline after stent placement for unruptured intracranial aneurysms.

Wenqiang Li, Chao Wang, Yuzhao Lu, Junfan Chen, Wenbin Li, Yunpeng Liu, Ziqing Zhang, Zeping Jin, Yiqi Liu, Song Tan and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

17 authors.

Wenqiang LiDepartment of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Chao WangDepartment of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Yuzhao LuDepartment of Neurosurgery, The First Affiliated Hospital of Nanchang University, Nanchang University, Nanchang, China.
Junfan ChenDepartment of Interventional Neuroradiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China.
Wenbin LiDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China.
Yunpeng LiuDepartment of Neurosurgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Ziqing ZhangDepartment of Neurosurgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Zeping JinDepartment of Neurosurgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Yiqi LiuDepartment of Neurosurgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Song TanDepartment of Neurosurgery, The First Affiliated Hospital of Nanchang University, Nanchang University, Nanchang, China.
Zhiwei ZhangSingularityFlow Co. Ltd., Beijing, China.
Xiaofei HuangDepartment of Neurosurgery, The First Affiliated Hospital of Nanchang University, Nanchang University, Nanchang, China.
Cong DingDepartment of Neurosurgery, The First Affiliated Hospital of Nanchang University, Nanchang University, Nanchang, China.
Linfeng ZhangDepartment of Neurosurgery, The First Affiliated Hospital of Nanchang University, Nanchang University, Nanchang, China.
Jian LiuDepartment of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
David M HasanDepartment of Neurosurgery, Duke University, Durham, NC, USA.
Yang WangDepartment of Neurosurgery, The First Affiliated Hospital of Nanchang University, Nanchang University, Nanchang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New iatrogenic cerebral infarcts (NICIs) are common findings on diffusion-weighted magnetic resonance imaging (DWI) following stent placement for unruptured intracranial aneurysms (UIAs) and may contribute to cognitive decline (CD). Using posttreatment DWI and clinical features, we developed a deep learning radiomics nomogram (DLRN) to predict 1-year CD in NICI patients. In a multicenter cohort of 526 patients, CD rates at 1 year were 18.7% (47/251) in the training cohort, 19.8% (33/167) in the external validation cohort, and 20.4% (22/108) in the prospective cohort. The DLRN achieved excellent predictive performance with areas under the curve of 0.975, 0.942, and 0.841 for the respective cohorts. Calibration and decision curve analyses confirmed its reliability and clinical utility. This tool could facilitate early identification of high-risk patients, enabling timely, and tailored interventions to protect cognitive function.

Indexed as

Clinical neuroscienceNeurology

Identifiers

PMID40124476
PMCPMC11927714

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.