Evidence map›Paper›PMID 35528813›Full record

ArticleThe Malaysian journal of medical sciences : MJMS2022

Risk Prediction of Cerebral Infarction after Anterior Circulation Aneurysm Rupture in an Under-Equipped Centre.

Vayara Perumall Vinodh, Abdul Rahman Izaini Ghani, Regunath Kandasamy, Pulivendhan Sellamuthu, Mohd Sofan Zenian, Thamron Keowmani

Open access · diamondAbstract read
In one paragraph

Article in The Malaysian journal of medical sciences : MJMS, 2022. 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
0.1field-weighted citation impact, top 55% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

6 authors at 2 institutions in 1 country.

Vayara Perumall VinodhDepartment of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.
Abdul Rahman Izaini GhaniDepartment of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.
Regunath KandasamyDepartment of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.
Pulivendhan SellamuthuDepartment of Neurosurgery, Queen Elizabeth 2 Hospital, Sabah, Malaysia.
Mohd Sofan ZenianDepartment of Neurosurgery, Queen Elizabeth 2 Hospital, Sabah, Malaysia.
Thamron KeowmaniClinical Research Centre, Queen Elizabeth Hospital, Sabah, Malaysia.
Queen Elizabeth Hospital · MYUniversiti Sains Malaysia · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Morbidity and mortality is high among aneurysm rupture patients. Despite surviving the initial rupture, morbidity is high as they suffer from vasospasm and cerebral infarction (CI). Most prediction tools for CI after aneurysmal subarachnoid haemorrhage (SAH) are complex and are not routinely available in all neurosurgical centres. Current therapies for prevention of CI are still debatable and selective usage among high-risk patients is advised. These factors necessitate a simple prediction model for identifying patients in the high risk group to initiate early preventive treatment of CI. Methods: Patients with anterior circulation aneurysm rupture who underwent surgical clipping were included. Demographic data and factors related to CI were collected to determine significance and were used to develop VINODH score (VS). Results: Two hundred patients were included with a median age of 51 years old. Multivariate analysis proved only four predictors were significant ( Conclusion: VS is a reliable tool for early identification of patients at risk of CI after aneurysmal SAH.

Indexed as

cerebral infarctintracranial aneurysm rupturepredictive modelsubarachnoid haemorrhageVINODH score

Identifiers

PMID35528813
PMCPMC9036933
OpenAlexW4224284014

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.