Evidence map›Paper›PMID 36860579›Full record

ArticleFrontiers in neurology2023

Effects of regional brain volumes on cognition in sickle cell anemia: A developmental perspective.

Shifa Hamdule, Melanie Kölbel, Hanne Stotesbury, Russell Murdoch, Jonathan D Clayden, Sati Sahota, Anna Marie Hood, Christopher A Clark, Fenella Jane Kirkham

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Quantitative Volumetric Analysis of the Brain Using Magnetic Resonance Imaging in Sickle Cell Anaemia.Nigerian medical journal : journal of the Nigeria Medical Association
    Review
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 2 institutions in 1 country.

Shifa HamduleDevelopmental Neurosciences Section, UCL Great Ormond Street Institute of Child Health, London, United Kingdom.
Melanie KölbelDevelopmental Neurosciences Section, UCL Great Ormond Street Institute of Child Health, London, United Kingdom.
Hanne StotesburyDevelopmental Neurosciences Section, UCL Great Ormond Street Institute of Child Health, London, United Kingdom.
Russell MurdochDepartment of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom.
Jonathan D ClaydenDevelopmental Neurosciences Section, UCL Great Ormond Street Institute of Child Health, London, United Kingdom.
Sati SahotaDevelopmental Neurosciences Section, UCL Great Ormond Street Institute of Child Health, London, United Kingdom.
Anna Marie HoodDevelopmental Neurosciences Section, UCL Great Ormond Street Institute of Child Health, London, United Kingdom.
Christopher A ClarkDevelopmental Neurosciences Section, UCL Great Ormond Street Institute of Child Health, London, United Kingdom.
Fenella Jane KirkhamDevelopmental Neurosciences Section, UCL Great Ormond Street Institute of Child Health, London, United Kingdom.
University College London · GBGreat Ormond Street Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objectives: Cognitive difficulties in people with sickle cell anemia (SCA) are related to lower processing speed index (PSI) and working memory index (WMI). However, risk factors are poorly understood so preventative strategies have not been explored. Brain volumes, specifically white matter volumes (WMV) which increases through early adulthood, have been associated with better cognition in healthy typically developing individuals. In patients with SCA, the reduced WMV and total subcortical volumes noted could explain cognitive deficits. We therefore examined developmental trajectories for regional brain volumes and cognitive endpoints in patients with SCA. Methods: Data from two cohorts, the Sleep and Asthma Cohort and Prevention of Morbidity in SCA, were available. MRI data included T1-weighted axial images, pre-processed before regional volumes were extracted using Free-surfer. PSI and WMI from the Weschler scales of intelligence were used to test neurocognitive performance. Hemoglobin, oxygen saturation, hydroxyurea treatment and socioeconomic status from education deciles were available. Results: One hundred and twenty nine patients (66 male) and 50 controls (21 male) aged 8-64 years were included. Brain volumes did not significantly differ between patients and controls. Compared with controls, PSI and WMI were significantly lower in patients with SCA, predicted by increasing age and male sex, with lower hemoglobin in the model for PSI but no effect of hydroxyurea treatment. In male patients with SCA only, WMV, age and socioeconomic status predicted PSI, while total subcortical volumes predicted WMI. Age positively and significantly predicted WMV in the whole group (patients + controls). There was a trend for age to negatively predict PSI in the whole group. For total subcortical volume and WMI, age predicted decrease only in the patient group. Developmental trajectory analysis revealed that PSI only was significantly delayed in patients at 8 years of age; the rate of development for the cognitive and brain volume data did not differ significantly from controls. Discussion: Increasing age and male sex negatively impact cognition in SCA, with processing speed, also predicted by hemoglobin, delayed by mid childhood. Associations with brain volumes were seen in males with SCA. Brain endpoints, calibrated against large control datasets, should be considered for randomized treatment trials.

Indexed as

brain volumecognitiondevelopmentprocessing speedsickle cell diseaseworking memory

Identifiers

PMID36860579
PMCPMC9968851
OpenAlexW4320495130

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.