Evidence map›Paper›PMID 38740404›Full record

ArticleNeurosciences (Riyadh, Saudi Arabia)2024

Normative parameters of the Evans Index using Computer Tomography in the Saudi population.

Soha A Alomar, Aliaa H Ghoneim

Abstract read
In one paragraph

Article in Neurosciences (Riyadh, Saudi Arabia), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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

2 authors.

Soha A AlomarFrom the Division of Neurosurgery (Alomar), and from the Department of Radiology (Ghoneim), Faculty of Medicine, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia.ORCID https://orcid.org/0000-0001-5996-6764
Aliaa H GhoneimFrom the Division of Neurosurgery (Alomar), and from the Department of Radiology (Ghoneim), Faculty of Medicine, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo calculate The Evans Index (EI) in normal Individuals. Ventricular enlargement is referred to as hydrocephalus. Computer tomography (CT) scans are commonly used to investigate such intracranial pathologies. The EI is an important parameter for diagnosing hydrocephalus.

methodsWe included all patients who underwent Computer tomography (CT) scan of the brain that was reported as normal. The mean EI was calculated for the whole sample stratified by age, gender, and ethnicity. Patients with an initial report indicating any intracranial pathology, such as hydrocephalus, tumors, hemorrhages, or neurodegenerative disorders, were excluded.

resultsA total of 1,330 brain CT scans carried out at our institution were reviewed retrospectively from August 2021 to December 2021. A total of 423 CT scans were screened after excluding 25 patients with abnormal imaging findings and 14 repeated images for the same patients. A total of 384 patients were included. The mean EI for the entire sample was 0.2550±0.0277. There was a minimal but statistically significant difference based on gender, with a mean EI of 0.2588±0.0274 for males and 0.2517±0.0276 for females (

conclusionOur EI values were similar to many of those reported in other countries, which supports the use of the 0.3 cutoff for the diagnosis of hydrocephalus, regardless of gender, age, or ethnicity.

Indexed as

HydrocephalusTomography, X-Ray ComputedAdolescentAdultAgedAged, 80 and overChildChild, PreschoolFemaleHumansMaleMiddle AgedRetrospective StudiesSaudi ArabiaYoung Adult

Identifiers

PMID38740404
PMCPMC11305359

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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.