Evidence map›Paper›PMID 30498850›Full record

ReviewPediatric radiology2019

Human immunodeficiency virus-related cerebral white matter disease in children.

Christelle Ackermann, Ronald van Toorn, Savvas Andronikou

Abstract readReview
PubMed Publisher
In one paragraph

Review in Pediatric radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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 at 2 institutions in 2 countries.

Christelle AckermannDepartment of Radiology, Faculty of Medicine and Health Sciences, University of Stellenbosch, Tygerberg, South Africa. ca@sun.ac.za.
Ronald van ToornDepartment of Pediatrics and Child Health, Faculty of Medicine and Health Sciences, University of Stellenbosch, Tygerberg, South Africa.
Savvas AndronikouDepartment of Pediatric Radiology, Children's Hospital Philadelphia, University of Pennsylvania, Philadelphia, PA, USA.
Stellenbosch University · ZAChildren's Hospital of Philadelphia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human immunodeficiency virus (HIV) epidemic seems largely controlled by anti-retroviral treatment with resultant large numbers of children growing up with the disease on long-term treatment, placing them at higher risk to develop HIV-related brain injury, ongoing cognitive impairment and treatment-related neurological complications. Cerebral white matter involvement is a common radiologic finding in HIV infection and the causes of this have overlapping appearances, ranging from diffuse widespread involvement to focal lesions. The varied pathophysiology is broadly grouped into primary effects of HIV, opportunistic infection, vascular disease and neoplasms. White matter changes in children can be different from those in adults. This review provides guidance to radiologists with the diagnostic dilemma of nonspecific cerebral white matter lesions in children with HIV. The authors discuss common causes of HIV-related cerebral white matter disease as well as the role of neuroimaging in the management of these children.

Indexed as

ChildDiagnosis, DifferentialHIV InfectionsHumansLeukoencephalopathiesCentral nervous systemChildrenComputed tomographyHuman immunodeficiency virusMagnetic resonance imagingWhite matter

Identifiers

PMID30498850
OpenAlexW2902452453

What OpenQuestion holds

Textmetadata
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.