Evidence map›Paper›PMID 36029437›Full record

ArticleActa neurologica Belgica2023

Prognostic predictive value of intracranial pressure and cerebral oxygen metabolism monitoring in patients with spontaneous intracerebral hemorrhage.

Zhen Sun, Jing Liu, Shengpu Dong, Xianglong Duan, Fei Xue, Xingyu Miao

Open access · hybridAbstract read
In one paragraph

Article in Acta neurologica Belgica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Zhen SunShaanxi Provincial People's Hospital, Xi'an, 710086, Shaanxi, China.
Jing LiuZhujiang Hospital of Southern Medical University, Guangzhou, 510280, Guangdong, China.
Shengpu DongShaanxi Provincial People's Hospital, Xi'an, 710086, Shaanxi, China.
Xianglong DuanShaanxi Provincial People's Hospital, Xi'an, 710086, Shaanxi, China.
Fei Xue *Shaanxi Provincial People's Hospital, Xi'an, 710086, Shaanxi, China.
Xingyu Miao *Shaanxi Provincial People's Hospital, Xi'an, 710086, Shaanxi, China. sz950404@163.com.ORCID http://orcid.org/0000-0003-1351-1523
Shanxi Medical University · CNZhujiang Hospital · CN

Funding

Systematic study of artificial intelligence technology in the diagnosis and treatment of patients with spontaneous cerebral hemorrhage S2022-YF-YBSF-1399
6 · The paper itself

Abstract

objectiveOur study aimed to investigate the predictive value of intracranial pressure (ICP) and cerebral oxygen metabolism monitoring in the postoperative prognosis of patients with spontaneous intracerebral hemorrhage (SICH).

methodsThe clinical data of 55 patients with SICH treated by neurosurgery were analyzed retrospectively. These patients were divided into two groups based on postoperative Glasgow Outcome Scale (GOS) scores, i.e., the poor prognosis group (GOS I-III) and the good prognosis group (GOS IV and V). Next, the ICP and cerebral oxygen metabolism indexes, such as brain temperature (BT), cerebral perfusion pressure (CPP), internal jugular venous oxygen saturation (SjvO

resultsThe results showed that the average ICP and BT in the good prognosis group were lower than those in the poor prognosis group. However, the CPP and SjvO

conclusionsOur results demonstrated that the average ICP, BT, CPP, SjvO

Indexed as

Cerebral HemorrhageIntracranial PressureCerebrovascular CirculationHumansOxygenPrognosisRetrospective StudiesOxygenCerebral oxygen metabolic indexesCombined prognosis predictionIntracranial pressureSpontaneous intracerebral hemorrhage

Identifiers

PMID36029437
PMCPMC10505100
OpenAlexW4293354546

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.