Evidence map›Paper›PMID 35916347›Full record

Trial reportJournal of the American Heart Association2022

Prediction of Neurological Deterioration After Intracerebral Hemorrhage: The SIGNALS Score.

Quanwei He, Hongxiu Guo, Rentang Bi, Shaoli Chen, Jing Shen, Chunnan Long, Man Li, Yuanpeng Xia, Lei Zhang, Zhou Sun and 7 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of the American Heart Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Quanwei HeDepartment of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China.ORCID 0000-0002-8318-6976
Hongxiu GuoDepartment of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China.
Rentang BiDepartment of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China.
Shaoli ChenDepartment of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China.
Jing ShenDepartment of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China.
Chunnan LongDepartment of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China.
Man LiDepartment of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China.
Yuanpeng XiaDepartment of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China.
Lei ZhangDepartment of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China.
Zhou SunDepartment of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China.
Xiaolu ChenDepartment of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China.
Zhaowei WangDepartment of Neurology Qianjiang Central Hospital Qianjiang Hubei Province China.
Daokai GongDepartment of Neurology Jingzhou Central Hospital Jingzhou Hubei Province China.
Jingwen XuDepartment of Neurology Honghu People's Hospital Honghu Hubei Province China.
Dondya ZhuSchool of Pharmacy Nanjing Medical University Nanjing Jiangsu Province China.
Yan WanDepartment of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China.ORCID 0000-0002-1864-0714
Bo HuDepartment of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China.ORCID 0000-0003-1462-8854

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Intracerebral hemorrhage is the most disabling and lethal form of stroke. We aimed to develop a novel clinical score for neurological deterioration during hospitalization after intracerebral hemorrhage. Methods and Results We analyzed data from the CHERRY (Chinese Cerebral Hemorrhage: Mechanism and Intervention) study. Two-thirds of eligible patients were randomly allocated into the training cohort (n=1027) and one-third into the validation cohort (n=515). Multivariable logistic regression was used to identify factors associated with neurological deterioration (an increase in National Institutes of Health Stroke Scale of ≥4 or death) within 15 days after symptom onset. A prediction score was developed based on regression coefficients derived from the logistic model. The site, size, gender, National Institutes of Health Stroke Scale, age, leukocyte, sugar (SIGNALS) score was developed as a sum of individual points (0-8) based on site (1 point for infratentorial location), size (3 points for >20 mL of supratentorial hematoma volume or 2 points for >10 mL of infratentorial hematoma volume), sex (1 point for male sex), National Institutes of Health Stroke Scale score (1 point for >10), age (1 point for ≥70 years), white blood cell (1 point for>9.0×10

Indexed as

Cerebral HemorrhageStrokeAgedCohort StudiesHematomaHumansLogistic ModelsMaleintracerebral hemorrhageneurological deteriorationprognosisSIGNALS score

Identifiers

PMID35916347
PMCPMC9375508

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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.