Evidence map›Paper›PMID 33459289›Full record

Observational studyNeurosciences (Riyadh, Saudi Arabia)2020

Inherited paediatric neurometabolic disorders, can brain magnetic resonance imaging predict?

Ali Al Orf, Khawaja B Waheed, Elsayed M Ali, Abdulrahim K Muhammad, Faisal M Al Zahrani, Saad A Seth, Nawaf N Al Jubair, Hassan S Harisi, Zechariah J Arulanantham

Registry-linked trialOpen access · diamondAbstract readObservational Study
In one paragraph

Observational study in Neurosciences (Riyadh, Saudi Arabia), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06682624 (Magnetic Resonance Imaging Pattern Recognition Approach in Pediatric Inherited Neurodegenerative Diseases), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 50% 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.

NCT06682624 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

Magnetic Resonance Imaging Pattern Recognition Approach in Pediatric Inherited Neurodegenerative Diseases

Typeobservational_patient_registrySponsorSohag UniversityRan2025 to 2026Enrolled40ConditionsPediatric Neurological DisorderArmsMRI
3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

9 authors at 1 institution in 1 country.

Ali Al OrfDepartment of Radiology Department, King Fahad Military Medical Complex, Dhahran, Kingdom of Saudi Arabia.
Khawaja B Waheed
Elsayed M Ali
Abdulrahim K Muhammad
Faisal M Al Zahrani
Saad A Seth
Nawaf N Al Jubair
Hassan S Harisi
Zechariah J Arulanantham
King Fahd Military Medical Complex · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate diagnostic capability of brain magnetic resonance imaging (MRI) in detection of inherited neurometabolic disorders.

methodsThis retrospective observational study was performed in Radiology Department at our Hospital in Dhahran, from January 2013 to January 2020. We evaluated brain MRIs of children (under 5) who were referred to pediatric neurology for clinical suspicion of neuro-developmental delay and metabolic disease. Known perinatal ischemia and birth trauma cases were excluded. Imaging criteria included: (i) bilateral symmetric white matter signal abnormality, (ii) diffusion restriction affecting bilateral deep grey nuclei with or without brainstem involvement, (iii) brain atrophy or edema with abnormal white matter signal, (iv) characteristic MR spectroscopic finding. Presence of any one of these findings was considered positive for neurometabolic disease. Two neuroradiologists interpreted MRIs with substantial interobserver agreement. Diagnoses were confirmed on biochemical/ metabolic screening and genetic testing. A 2 x 2 contingency table was used for results. Chi square test was used to determine association.

resultsOut of 133 cases, 72 (49 males, 90% AR) were found to have neurometabolic disorders. Sensitivity, specificity, positive and negative predictive values were calculated as 81.94% (CI, 71.11-90.02), 67.21% (CI, 54.00-78.69), 74.68% (CI, 66.96-81.11) and 75.93% (CI, 65.16-84.17) respectively. Findings were found significant (p-value=0.0001).

conclusionBrain MRI can help to predict inherited neurometabolic disorders considering certain findings.

Indexed as

Brain Diseases, MetabolicChild, PreschoolFemaleHumansInfantMagnetic Resonance ImagingMaleMetabolism, Inborn ErrorsNeuroimagingRetrospective Studies

Identifiers

PMID33459289
PMCPMC8015596
OpenAlexW3096053413

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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.