ArticlePediatric blood & cancer2023
Identifying patterns of neurocognitive dysfunction through direct comparison of children with leukemia, central nervous system tumors, and sickle cell disease.
Article in Pediatric blood & cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
The trial behind it
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Who cites it
1 citing paper in PubMed, 2 citations in OpenAlex.
- Shared Sociodemographic Risk Factors for Neurocognitive Dysfunction in Children With Cancer and Blood Disorders.Pediatric blood & cancer · 2026Article
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
Abstract
purposeTo quantify and compare the magnitude and type of neurocognitive dysfunction in at-risk children with central nervous system (CNS) tumors, acute lymphoblastic leukemia (ALL), and sickle cell disease (SCD) using a common instrument and metric to directly compare these groups with each other.
methodsFifty-three participants between the ages of 7 and 12 years (n = 27 ALL, n = 11 CNS tumor, n = 15 SCD) were enrolled and assessed using the NIH Toolbox Cognition Battery (NIHTCB). Participants with ALL or CNS tumor were 0-18 months posttherapy, while participants with SCD possessed the SS or Sβ
resultsIndependent sample t-tests showed that participants with ALL and CNS tumor experienced greatest deficits in processing speed (ALL d = -0.96; CNS tumor d = -1.2) and inhibitory control and attention (ALL d = -0.53; CNS tumor d = -0.97) when compared with NIHTCB normative data. Participants with SCD experienced deficits in cognitive flexibility only (d = -0.53). Episodic memory was relatively spared in all groups (d = -0.03 to -0.32). There were no significant differences in function when groups were compared directly with each other by analysis of variance.
conclusionsUse of a common metric to quantify the magnitude and type of neurocognitive dysfunction across at-risk groups of participants by disease shows that participants perform below age-expected norms in multiple domains and experience dysfunction differently than one another. This approach highlights patterns of dysfunction that can inform disease- and domain-specific interventions.
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Registered trials
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