Evidence map›Paper›PMID 34012862›Full record

ReviewTranslational pediatrics2021

Clinico-radiological phenotyping and diagnostic pathways in childhood neurometabolic disorders-a practical introductory guide.

Asthik Biswas, Mukul Malhotra, Kshitij Mankad, Olivia Carney, Felice D'Arco, Karthik Muthusamy, Sniya Valsa Sudhakar

Open access · diamondAbstract readReview
In one paragraph

Review in Translational pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

9 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Intracranial calcifications in DEGS1-Related Leukodystrophy: a potentially under-recognised neuroimaging feature.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
  3. Article
  4. Newly discovered variants in unexplained neonatal encephalopathy.Molecular genetics & genomic medicine · 2024
    Article
  5. Review
  6. Article
  7. MR Neuroimaging in Pediatric Inborn Errors of Metabolism.Diagnostics (Basel, Switzerland) · 2022
    Review
  8. Review
  9. 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

7 authors at 3 institutions in 3 countries.

Asthik BiswasDepartment of Diagnostic Imaging, The Hospital for Sick Children, Toronto, Ontario, Canada.
Mukul MalhotraDepartment of Neurology, Christian Medical College, Vellore, India.
Kshitij MankadNeuroradiology Unit, Great Ormond Street Hospital NHS Foundation Trust, London, UK.
Olivia CarneyNeuroradiology Unit, Great Ormond Street Hospital NHS Foundation Trust, London, UK.
Felice D'ArcoNeuroradiology Unit, Great Ormond Street Hospital NHS Foundation Trust, London, UK.
Karthik MuthusamyDepartment of Neurology, Christian Medical College, Vellore, India.
Sniya Valsa SudhakarNeuroradiology Unit, Great Ormond Street Hospital NHS Foundation Trust, London, UK.
Great Ormond Street Hospital for Children NHS Foundation Trust · GBChristian Medical College & Hospital · INHospital for Sick Children · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inborn errors of metabolism (IEM) although individually rare, together constitute a significant proportion of childhood neurological disorders. Majority of these disorders occur due to deficiency of an enzyme in a specific metabolic pathway, leading to damage by accumulation of a toxic substrate or deficiency of an essential metabolite. Early diagnosis is crucial in many of these conditions to prevent or minimise brain damage. Whilst many of the neuroimaging features are nonspecific, certain disorders demonstrate specific patterns due to selective vulnerability of different structures to different insults. Along with clinical and biochemical profile, neuroimaging thus plays a pivotal role in differentiating metabolic disorders from other causes, in providing a differential diagnosis or suggesting a metabolic pathway derangement, and on occasion also helps make a specific diagnosis. This allows initiation of targeted metabolic and genetic work up and treatment. Familiarity with the clinical features, relevant biochemical features and neuroimaging findings of common metabolic disorders to facilitate a prompt diagnosis cannot thus be overemphasized. In this article, we describe the latest classification scheme, the clinical and biochemical clues and common radiological patterns. The diagnostic algorithm followed in daily practice after clinico-radiological phenotyping is alluded to and illustrated by clinical vignettes. Focused sections on neonatal metabolic disorders and mitochondrial disorders are also provided. The purpose of this article is to provide a brief overview and serve as a practical primer to clinical and radiological phenotypes and diagnostic aspects of IEM.

Indexed as

brainchildhoodInborn errors of metabolism (IEM)magnetic resonance imaging (MRI)neuroimaging

Identifiers

PMID34012862
PMCPMC8107844
OpenAlexW3157258489

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.