Evidence map›Paper›PMID 30667282›Full record

ArticleAIDS research and human retroviruses2019

Magnetic Resonance Imaging of Cerebral Small Vessel Disease in Men Living with HIV and HIV-Negative Men Aged 50 and Above.

Lewis J Haddow, Carole H Sudre, Magdalena Sokolska, Richard C Gilson, Ian G Williams, Xavier Golay, Sebastien Ourselin, Alan Winston, Caroline A Sabin, M Jorge Cardoso and 2 more

Open access · greenAbstract read
In one paragraph

Article in AIDS research and human retroviruses, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Serum albumin and white matter hyperintensities.Translational psychiatry · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Cerebral alterations in West African HIV and non-HIV adults aged ≥50: An MRI study.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021
    Article
  9. Article
  10. Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning.Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data : first MICCAI Workshop, DART 2019, and first International Workshop, MIL3ID 2019, Shenzhen, held in conjunction with MICCAI 20... · 2019
    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

12 authors at 3 institutions in 1 country.

Lewis J Haddow1 Centre for Clinical Research in Infection and Sexual Health, Institute for Global Health, University College London, London, United Kingdom.
Carole H Sudre3 Centre for Medical Image Computing, University College London, London, United Kingdom.
Magdalena Sokolska4 Department of Medical Physics and Biomedical Engineering, University College London Hospitals NHS Foundation Trust, London, United Kingdom.
Richard C Gilson1 Centre for Clinical Research in Infection and Sexual Health, Institute for Global Health, University College London, London, United Kingdom.
Ian G Williams1 Centre for Clinical Research in Infection and Sexual Health, Institute for Global Health, University College London, London, United Kingdom.
Xavier Golay5 Research Department of Brain Repair and Rehabilitation, University College London, London, United Kingdom.
Sebastien Ourselin3 Centre for Medical Image Computing, University College London, London, United Kingdom.
Alan Winston6 Department of Medicine, Imperial College London, London, United Kingdom.
Caroline A Sabin1 Centre for Clinical Research in Infection and Sexual Health, Institute for Global Health, University College London, London, United Kingdom.
M Jorge Cardoso3 Centre for Medical Image Computing, University College London, London, United Kingdom.
H Rolf Jäger5 Research Department of Brain Repair and Rehabilitation, University College London, London, United Kingdom.
Pharmacokinetics and clinical Observations in PeoPle over fiftY (POPPY) Study Group
University College London · GBImperial College London · GBCentral and North West London NHS Foundation Trust · GB

Funding

Medical Research Council MR/M004236/1
6 · The paper itself

Abstract

We assessed whether HIV status was associated with white matter hyperintensities (WMH), a neuroimaging correlate of cerebral small vessel disease (CSVD), in men aged ≥50 years. A cross-sectional substudy was nested within a larger cohort study. Virologically suppressed men living with HIV (MLWH) and demographically matched HIV-negative men aged ≥50 underwent magnetic resonance imaging (MRI) at 3 Tesla. Sequences included volumetric three-dimensional (3D) T1-weighted, fluid-attenuated inversion recovery and pseudocontinuous arterial spin labeling. Regional segmentation by automated image processing algorithms was used to extract WMH volume (WMHV) and resting cerebral blood flow (CBF). The association between HIV status and WMHV as a proportion of intracranial volume (ICV; log-transformed) was estimated using a multivariable linear regression model. Thirty-eight MLWH [median age 59 years (interquartile range, IQR 55-64)] and 37 HIV-negative [median 58 years (54-63)] men were analyzed. MLWH had median CD4

Indexed as

Magnetic Resonance ImagingAlgorithmsCerebral Small Vessel DiseasesCohort StudiesCross-Sectional StudiesHIV InfectionsHumansImage Processing, Computer-AssistedMaleMiddle AgedNeuroimagingRisk Factorsagingcerebral blood flowcerebral small vessel diseaseHIV infectionleukoencephalopathymagnetic resonance imaging

Identifiers

PMID30667282
PMCPMC6508064
OpenAlexW2913628594

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.