Evidence map›Paper›PMID 38506972›Full record

ArticleNeurocritical care2024

Added Value of Frequency of Imaging Markers for Prediction of Outcome After Intracerebral Hemorrhage: A Secondary Analysis of Existing Data.

Lianghong Kuang, Shinuan Fei, Hang Zhou, Le Huang, Cailian Guo, Jun Cheng, Wenmin Guo, Yu Ye, Rujia Wang, Hui Xiong and 6 more

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Article in Neurocritical care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

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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

16 authors.

Lianghong Kuang *Department of Neurology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Huangshi, China.
Shinuan Fei *Department of Pediatrics, Huangshi Maternity and Children's Health Hospital, Affiliated Maternity and Children's Health Hospital of Hubei Polytechnic University, Huangshi, China.
Hang ZhouDepartment of Radiology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, China.
Le HuangPostgraduate Joint Training Base of Huangshi Central Hospital, Wuhan University of Science and Technology, Huangshi, China.
Cailian GuoPostgraduate Joint Training Base of Huangshi Central Hospital, Wuhan University of Science and Technology, Huangshi, China.
Jun ChengComputer School, Hubei Polytechnic University, Huangshi, China.
Wenmin GuoDepartment of Radiology, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, China.
Yu YeDepartment of Radiology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, No. 141, Tianjin Road, Huangshigang District, Huangshi, 435000, China.
Rujia WangDepartment of Radiology, Tangshan Gongren Hospital, Tangshan, China.
Hui XiongDepartment of Radiology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, No. 141, Tianjin Road, Huangshigang District, Huangshi, 435000, China.
Ji ZhangDepartment of Clinical Laboratory, Xiangyang Central Haspital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, China.
Dongfang TangDepartment of Neurosurgery, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, China.
Liwei ZouDepartment of Radiology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
Xiaoming QiuDepartment of Radiology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, No. 141, Tianjin Road, Huangshigang District, Huangshi, 435000, China.
Yongqiang YuDepartment of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Lei SongDepartment of Radiology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, No. 141, Tianjin Road, Huangshigang District, Huangshi, 435000, China. song580lei@163.com.ORCID 0000-0001-8975-5060

Funding

Hubei Provincial Natural Science Foundation Innovation and Development Joint Fund 2023AFD016
6 · The paper itself

Abstract

backgroundFrequency of imaging markers (FIM) has been identified as an independent predictor of hematoma expansion in patients with intracerebral hemorrhage (ICH), but its impact on clinical outcome of ICH is yet to be determined. The aim of the present study was to investigate this association.

methodsThis study was a secondary analysis of our prior research. The data for this study were derived from six retrospective cohorts of ICH from January 2018 to August 2022. All consecutive study participants were examined within 6 h of stroke onset on neuroimaging. FIM was defined as the ratio of the number of imaging markers on noncontrast head tomography (i.e., hypodensities, blend sign, and island sign) to onset-to-neuroimaging time. The primary poor outcome was defined as a modified Rankin Scale score of 3-6 at 3 months.

resultsA total of 1253 patients with ICH were included for final analysis. Among those with available follow-up results, 713 (56.90%) exhibited a poor neurologic outcome at 3 months. In a univariate analysis, FIM was associated with poor prognosis (odds ratio 4.36; 95% confidence interval 3.31-5.74; p < 0.001). After adjustment for age, Glasgow Coma Scale score, systolic blood pressure, hematoma volume, and intraventricular hemorrhage, FIM was still an independent predictor of worse prognosis (odds ratio 3.26; 95% confidence interval 2.37-4.48; p < 0.001). Based on receiver operating characteristic curve analysis, a cutoff value of 0.28 for FIM was associated with 0.69 sensitivity, 0.66 specificity, 0.73 positive predictive value, 0.62 negative predictive value, and 0.71 area under the curve for the diagnosis of poor outcome.

conclusionsThe metric of FIM is associated with 3-month poor outcome after ICH. The novel indicator that helps identify patients who are likely within the 6-h time window at risk for worse outcome would be a valuable addition to the clinical management of ICH.

Indexed as

Cerebral HemorrhageNeuroimagingAgedAged, 80 and overFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesTomography, X-Ray ComputedComputed tomographyIntracerebral hemorrhageMarkerOutcome

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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.