Evidence map›Paper›PMID 42539564›Full record

ArticleFrontiers in neurology

Attenuation value of non-contrast computed tomography for spontaneous intracerebral hemorrhage: an important marker for the rapid identification of hematoma expansion.

Jing Wang, Chuyue Wu, Jing Guo, Zhenjie Yang, Lei He, Shengli Chen, Lina Zhang

Abstract read
In one paragraph

Article in Frontiers in neurology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Jing Wang *Department of Neurology, Chongqing University Three Gorges Hospital, Chongqing, China.
Chuyue Wu *Department of Neurology, Chongqing University Three Gorges Hospital, Chongqing, China.
Jing GuoDepartment of Neurology, Chongqing University Three Gorges Hospital, Chongqing, China.
Zhenjie YangDepartment of Radiology, Chongqing University Three Gorges Hospital, Chongqing, China.
Lei HeDepartment of Neurology, Chongqing University Three Gorges Hospital, Chongqing, China.
Shengli ChenDepartment of Neurology, Chongqing University Three Gorges Hospital, Chongqing, China.
Lina ZhangDepartment of Neurology, Chongqing University Three Gorges Hospital, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Patients with spontaneous intracerebral hemorrhage (sICH) are highly prone to early hematoma expansion (HE). However, current limitations in the ability to quantify hematoma density restrict the prediction of HE risk. This study investigated whether relative CT attenuation value can predict HE in patients with sICH. Methods: This study included patients with sICH treated between January 1, 2020, and December 31, 2023. All patients underwent a baseline CT scan within 24 h of symptom onset and a follow-up CT scan within 36 h. The critical threshold for HE prediction based on the relative CT attenuation value was determined by plotting receiver operating characteristic (ROC) curves. Results: Of the 351 patients with sICH included in this study, 91 (25.9%) exhibited HE. After adjusting for confounding factors, multivariate logistic regression analysis indicated that the relative CT attenuation value could independently predict HE ( Conclusion: Relative CT attenuation value of hematoma can independently predict HE in patients with sICH.

Indexed as

cerebrovascular diseaseshematoma expansionnonenhanced computed tomographyrelative CT attenuation valuespontaneous intracerebral hemorrhage

Identifiers

PMID42539564
PMCPMC13423861

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.