Evidence map›Paper›PMID 42237626›Full record

ArticleJournal of stroke2026

ABCD-GENE Score Stratifying Risk-Benefit Profile of Clopidogrel-Aspirin Therapy in Ischemic Stroke Within 24-72 Hours.

Yun Chen, Lingling Jiang, Ying Gao, Weiqi Chen, Hongyi Yan, Tingting Wang, Yingying Yang, Yuesong Pan, Yilong Wang

Abstract read
In one paragraph

Article in Journal of stroke, 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.

Yun ChenDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Lingling JiangDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Ying GaoDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Weiqi ChenDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Hongyi YanDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Tingting WangDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yingying YangDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yuesong PanDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. yuesongpan@aliyun.com.
Yilong WangDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. yilong528@aliyun.com.

Funding

Beijing Municipal Science & Technology Commission Z231100004823036Capital Funds for Health Improvement and Research 2022-2-2045National Key R&D Program of China 2022YFF1501500National Key R&D Program of China 2022YFF1501501National Key R&D Program of China 2022YFF1501502National Key R&D Program of China 2022YFF1501503National Key R&D Program of China 2022YFF1501504National Key R&D Program of China 2022YFF1501505National Key R&D Program of China 2024YFC3044800National Natural Science Foundation of China 82425101Noncommunicable Chronic Diseases-National Science and Technology Major Project 2023ZD0504800Noncommunicable Chronic Diseases-National Science and Technology Major Project 2023ZD0504801Noncommunicable Chronic Diseases-National Science and Technology Major Project 2023ZD0504802Noncommunicable Chronic Diseases-National Science and Technology Major Project 2023ZD0504803Noncommunicable Chronic Diseases-National Science and Technology Major Project 2023ZD0504804
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID42237626
PMCPMC13243845

What OpenQuestion holds

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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.