Evidence map›Paper›PMID 33328859›Full record

ArticleFrontiers in neuroscience2020

Hematoma Ventricle Distance on Computed Tomography Predicts Poor Outcome in Intracerebral Hemorrhage.

Lan Deng, Yun-Dong Zhang, Jian-Wen Ji, Wen-Song Yang, Xiao Wei, Yi-Qing Shen, Rui Li, Shu-Qiang Zhang, Xin-Ni Lv, Xin-Hui Li and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 28% of its field
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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. More severe initial manifestations and worse short-term functional outcome of intracerebral hemorrhage in the plateau than in the plain.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
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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

15 authors at 5 institutions in 1 country.

Lan DengDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yun-Dong ZhangDepartment of Neurology and Neurosurgery, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jian-Wen JiDepartment of Neurology and Neurosurgery, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Wen-Song YangDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xiao WeiDepartment of Medical Technology, Chongqing Medical and Pharmaceutical College, Chongqing, China.
Yi-Qing ShenDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Rui LiDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Shu-Qiang ZhangDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xin-Ni LvDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xin-Hui LiDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Zhou-Ping TangDepartment of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Guo-Feng WuEmergency Department, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Li-Bo ZhaoChongqing Key Laboratory of Cerebrovascular Disease Research, Yongchuan Hospital of Chongqing Medical University, Chongqing, China.
Peng XieDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Qi LiDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
First Affiliated Hospital of Chongqing Medical University · CNChongqing Medical University · CNAffiliated Hospital of Guizhou Medical University · CNChongqing Medical and Pharmaceutical College · CNTongji Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the relationship between hematoma ventricle distance (HVD) and clinical outcome in patients with intracerebral hemorrhage (ICH).

methodsWe prospectively enrolled consecutive patients with ICH in a tertiary academic hospital between July 2011 and April 2018. We retrospectively reviewed images for all patients receiving a computed tomography (CT) within 6 h after onset of symptoms and at least one follow-up CT scan within 36 h. The minimum distance of hematoma border to nearest ventricle was measured as HVD. Youden index was used to evaluate the cutoff of HVD predicting functional outcome. Logistic regression model was used to assess the HVD data and clinical poor outcome (modified Rankin Scale 4-6) at 90 days.

resultsA total of 325 patients were included in our final analysis. The median HVD was 2.4 mm (interquartile range, 0-5.7 mm), and 119 (36.6%) patients had poor functional outcome at 3 months. After adjusting for age, admission Glasgow coma scale, intraventricular hemorrhage, baseline ICH volume, admission systolic blood pressure, blood glucose, hematoma expansion, withdrawal of care, and hypertension, HVD ≤ 2.5 mm was associated with increased odds of clinical poor outcome [odd ratio, 3.59, (95%CI = 1.72-7.50);

conclusionHematoma ventricle distance allows physicians to quickly select and stratify patients in clinical trials and thereby serve as a novel and useful addition to predict ICH prognosis.

Indexed as

hematoma ventricle distanceintracerebral haemorrhageneuroimagingoutcomestroke

Identifiers

PMID33328859
PMCPMC7711135
OpenAlexW3105953595

What OpenQuestion 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 OpenQuestion graph.