Evidence map›Paper›PMID 35453911›Full record

ReviewDiagnostics (Basel, Switzerland)2022

MR Neuroimaging in Pediatric Inborn Errors of Metabolism.

Lillian M Lai, Andrea L Gropman, Matthew T Whitehead

Registry-linked trialAbstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2022. 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 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

16 citing papers in PubMed.

  1. Review
  2. Article
  3. Observational
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Examining Clinical Features and Severe Neurologic Disease of Parechovirus Infection in Young Infants: A Multistate Cohort Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Article
  14. Article
  15. Review
  16. 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

3 authors.

Lillian M LaiDepartment of Radiology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA.
Andrea L GropmanDepartment of Neurology, Children's National, Washington, DC 20010, USA.ORCID 0000-0002-2106-6776
Matthew T WhiteheadDepartment of Radiology, Children's National, Washington, DC 20010, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inborn errors of metabolism (IEM) are a group of disorders due to functional defects in one or more metabolic pathways that can cause considerable morbidity and death if not diagnosed early. While individually rare, the estimated global prevalence of IEMs comprises a substantial number of neonatal and infantile disorders affecting the central nervous system. Clinical manifestations of IEMs may be nonspecific. Newborn metabolic screens do not capture all IEMs, and likewise, genetic testing may not always detect pathogenic variants. Neuroimaging is a critical component of the work-up, given that imaging sometimes occurs before prenatal screen results are available, which may allow for recognition of imaging patterns that lead to early diagnosis and treatment of IEMs. This review will demonstrate the role of magnetic resonance imaging (MRI) and proton magnetic resonance spectroscopy (

Indexed as

errorsinbornmagneticmetabolismMRIMRSresonancespectroscopy

Identifiers

PMID35453911
PMCPMC9027484

What OpenQuestion holds

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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.