Evidence map›Paper›PMID 32351650›Full record

ArticleWorld journal of emergency medicine2020

Prognostic value of intracranial pressure monitoring for the management of hypertensive intracerebral hemorrhage following minimally invasive surgery.

Xiao-Ru Che, Yong-Jie Wang, Hai-Yan Zheng

Open access · bronzeAbstract read
In one paragraph

Article in World journal of emergency medicine, 2020. 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
1.1field-weighted citation impact, top 19% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 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

3 authors at 3 institutions in 1 country.

Xiao-Ru CheDepartment of Cardiology, Zhejiang Province People's Hospital, Hangzhou, China.
Yong-Jie WangDepartment of Neurosurgery, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Hai-Yan ZhengDepartment of Cardiology, Zhejiang Province People's Hospital, Hangzhou, China.
Hangzhou Medical College · CNSecond Affiliated Hospital of Zhejiang University · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe incidence of hypertensive intracerebral hemorrhage (HICH) has been increasing during the recent years in low- and middle-income countries. With high mortality and morbidity rates, it brings huge burden to the families. It lacks evidence regarding the application of intracranial pressure (ICP) monitoring in HICH. In the current study, the authors aimed to evaluate whether ICP monitoring could make any difference on the prognosis of HICH patients after minimally invasive surgery.

methodsA retrospective review of 116 HICH patients admitted to the Second Affiliated Hospital of Zhejiang University School of Medicine, between 2014 and 2016, was performed. The effects of ICP monitoring on 6-month mortality and favorable outcomes were evaluated by univariate and logistic regression analysis.

resultsICP monitors were inserted into 50 patients. Patients with ICP monitoring had a significantly better outcome (

conclusionICP monitoring is associated with a better 6-month functional outcome compared with no ICP monitoring. Future study is still needed to confirm our results and elucidate which subgroup of HICH patients will benefit most from the minimally invasive surgical intervention and ICP monitoring.

Indexed as

Hypertensive intracerebral hemorrhageIntracranial pressureMinimally invasive surgery

Identifiers

PMID32351650
PMCPMC7183917
OpenAlexW3016767132

What OpenQuestion holds

Textmetadata
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.