Evidence map›Paper›PMID 37190589›Full record

ArticleBrain sciences2023

Application of Quantitative Computed Tomographic Perfusion in the Prognostic Assessment of Patients with Aneurysmal Subarachnoid Hemorrhage Coexistent Intracranial Atherosclerotic Stenosis.

Jun Yang, Heze Han, Yu Chen, Fa Lin, Runting Li, JunLin Lu, Ruinan Li, Zhipeng Li, Guangzhi Shi, Shuo Wang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Brain sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 37% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
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

13 authors at 2 institutions in 1 country.

Jun YangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.ORCID 0000-0002-7261-4955
Heze HanDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
Yu ChenDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
Fa LinDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
Runting LiDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
JunLin LuDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu 610000, China.
Ruinan LiDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
Zhipeng LiDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
Guangzhi ShiDepartment of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
Shuo WangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
Yuanli ZhaoDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
Xiaolin ChenDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
Jizong ZhaoDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.ORCID 0000-0001-7304-0255
Capital Medical University · CNSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The comorbidity of aneurysmal subarachnoid hemorrhage (aSAH) with intracranial atherosclerotic stenosis (ICAS) has been suggested to increase the risk of postoperative ischemic stroke. Logistic regression models were established to explore the association between computed tomography perfusion (CTP) parameters and 3-month neurological outcomes and delayed cerebral ischemia (DCI). Prognostic-related perfusion parameters were added to the existing prognostic prediction models to evaluate model performance improvement. Tmax > 4.0 s volume > 0 mL was significantly associated with 3-month unfavorable neurological outcomes after adjusting for potential confounders (OR 3.90, 95% CI 1.11-13.73), whereas the stenosis degree of ICAS was not. Although the cross-validated area under the curve (AUC) was similar after the addition of the Tmax > 4.0 s volume > 0 mL (SAHIT:

Indexed as

aneurysmal subarachnoid hemorrhagecomputed tomography perfusiondelayed cerebral ischemiaintracranial atherosclerotic stenosis

Identifiers

PMID37190589
PMCPMC10137244
OpenAlexW4362667684

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.