Evidence map›Paper›PMID 38748378›Full record

ArticleTranslational stroke research2025

Unveiling the Hidden Impact: Hematoma Volumes Unravel Circuit Disruptions in Intracerebral Hemorrhage.

Yingqing Wu, Qin Deng, Ranran Wei, Sen Chen, Fusheng Ding, Haipeng Yu, Ning Hu, Shilei Hao, Bochu Wang

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Article 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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.

Yingqing WuKey Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, No. 174, Shapingba Main Street, Chongqing, 400030, China.
Qin DengAnalytical and Testing Center, Chongqing University, Chongqing, 400030, China.
Ranran WeiThe College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, 430000, Hubei, China.
Sen ChenSchool of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, 621000, Sichuan, China.
Fusheng DingSchool of Life Sciences, Anqing Normal University, Anqing, 246052, Anhui, China.
Haipeng YuDepartment of Neurobiology, Chongqing Key Laboratory of Neurobiology, Third Military Medical University, Chongqing, 400030, China.
Ning HuKey Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, No. 174, Shapingba Main Street, Chongqing, 400030, China.
Shilei HaoKey Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, No. 174, Shapingba Main Street, Chongqing, 400030, China. shilei_hao@cqu.edu.cn.
Bochu WangKey Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, No. 174, Shapingba Main Street, Chongqing, 400030, China. wangbc2000@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intracerebral hemorrhage (ICH) imposes a significant burden on patients, and the volume of hematoma plays a crucial role in determining the severity and prognosis of ICH. Although significant recent progress has been made in understanding the cellular and molecular mechanisms of surrounding brain tissue in ICH, our current knowledge regarding the precise impact of hematoma volumes on neural circuit damage remains limited. Here, using a viral tracing technique in a mouse model of striatum ICH, two distinct patterns of injury response were observed in upstream connectivity, characterized by both linear and nonlinear trends in specific brain areas. Notably, even low-volume hematomas had a substantial impact on downstream connectivity. Neurons in the striatum-ICH region exhibited heightened excitability, evidenced by electrophysiological measurements and changes in metabolic markers. Furthermore, a strong linear relationship (R

Indexed as

Cerebral HemorrhageCorpus StriatumHematomaAnimalsDisease Models, AnimalMaleMiceMice, Inbred C57BLNeuronsBrain-wide connectivityHematoma volumesMAPK signaling pathwayNeurofilament light chainNeuronal excitability

Identifiers

PMID38748378

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.