Evidence map›Paper›PMID 38558011›Full record

ReviewTranslational stroke research2025

Evolving Therapeutic Landscape of Intracerebral Hemorrhage: Emerging Cutting-Edge Advancements in Surgical Robots, Regenerative Medicine, and Neurorehabilitation Techniques.

Danyang Chen, Zhixian Zhao, Shenglun Zhang, Shiling Chen, Xuan Wu, Jian Shi, Na Liu, Chao Pan, Yingxin Tang, Cai Meng and 7 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Translational stroke research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

17 authors.

Danyang ChenDepartment of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Zhixian ZhaoDepartment of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Shenglun ZhangSchool of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Shiling ChenDepartment of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Xuan WuDepartment of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Jian ShiSchool of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Na LiuDepartment of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Chao PanDepartment of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Yingxin TangDepartment of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Cai MengSchool of Astronautics, Beihang University, Beijing, China.
Xingwei ZhaoSchool of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Bo TaoSchool of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Wenjie LiuBeijing WanTeFu Medical Instrument Co., Ltd., Beijing, China.
Diansheng ChenInstitute of Robotics, School of Mechanical Engineering and Automation, Beihang University, Beijing, China.
Han DingSchool of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Ping ZhangDepartment of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China. ppkitty0609@163.com.
Zhouping TangDepartment of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China. ddjtzp@163.com.

Funding

National Natural Science Foundation of China 92148206Research Fund of Tongji Hospital 2022B37
6 · The paper itself

Abstract

Intracerebral hemorrhage (ICH) is the most serious form of stroke and has limited available therapeutic options. As knowledge on ICH rapidly develops, cutting-edge techniques in the fields of surgical robots, regenerative medicine, and neurorehabilitation may revolutionize ICH treatment. However, these new advances still must be translated into clinical practice. In this review, we examined several emerging therapeutic strategies and their major challenges in managing ICH, with a particular focus on innovative therapies involving robot-assisted minimally invasive surgery, stem cell transplantation, in situ neuronal reprogramming, and brain-computer interfaces. Despite the limited expansion of the drug armamentarium for ICH over the past few decades, the judicious selection of more efficacious therapeutic modalities and the exploration of multimodal combination therapies represent opportunities to improve patient prognoses after ICH.

Indexed as

Cerebral HemorrhageNeurological RehabilitationRegenerative MedicineRoboticsRobotic Surgical ProceduresAnimalsBrain-Computer InterfacesHumansStem Cell TransplantationBrain-computer interfacesIntracerebral hemorrhageMinimally invasive surgeryNeuronal reprogrammingStem cell transplantationSurgical robots

Identifiers

PMID38558011
PMCPMC12045821

What Socratic 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 Socratic graph.