The University of Southampton
University of Southampton Institutional Repository

Screening for cognitive deficit in 8 to 14 year old children with cerebellar tumors using self-report measures of executive and behavioral functioning and health-related quality of life

Screening for cognitive deficit in 8 to 14 year old children with cerebellar tumors using self-report measures of executive and behavioral functioning and health-related quality of life
Screening for cognitive deficit in 8 to 14 year old children with cerebellar tumors using self-report measures of executive and behavioral functioning and health-related quality of life
Background We aimed to identify a brief screening measure for detection of cognitive deficit in children treated for cerebellar tumors that would be useful in clinical practice.

Methods A sample of 72 children aged 8-14 years and within three years post-diagnosis for standard risk medulloblastoma (n=37) or low grade cerebellar astrocytoma (n=35) and 38 in a non-tumor group were assessed using teacher-, parent-, and child-report of the Behavior Rating Inventory of Executive Function (BRIEF), Strengths and Difficulties Questionnaire (SDQ), and Pediatric Quality of Life Inventory (PedsQL). The accuracy of these scores as a screen for a full scale Intelligence Quotient (FSIQ) <80 on the Wechsler Intelligence Scale for Children (WISC®-IV UK) was assessed using their receiver operating characteristic (ROC) curves.

Results The questionnaires with the highest areas under the ROC curves were the child- and parent-report PedsQL and the teacher-report BRIEF and SDQ. At optimal cut-off scores, their sensitivities (95% CIs) to cases of FSIQ<80 were 84 (60-96)%, 65 (41-84)%, 79 (54-93)%, and 84 (60-96)% and their specificities (95% CIs) were 79 (68-86)%, 87 (77-93)%, 77 (66-86)%, and 71 (64-84)% respectively. All cases of FSIQ<80 screened positive on either teacher-report SDQ or self-report PedsQL.

Conclusions The PedsQL child- and parent-report and the teacher-report BRIEF and SDQ have moderately good accuracy to discriminate between children with and without a FSIQ<80. The PedsQL could be used in a clinical setting, and the BRIEF and SDQ in an educational setting, to screen for cases with FSIQ<80 in children treated for brain tumors.
screening, cognitive deficit, children, cerebellar tumors, health-related quality of life
1522-8517
1628-1636
Bull, Kim S.
751f8b25-29ba-4d4f-96e2-6c339a83a47f
Liossi, Christina
fd401ad6-581a-4a31-a60b-f8671ffd3558
Peacock, Janet
62df4239-ae7e-44cf-aa3c-3c2e7f1e511c
Yuen, Ho Ming
b1df4c57-0c2a-44ac-ab40-22b88e8effe8
Kennedy, Colin
7c3aff62-0a86-4b44-b7d7-4bc01f23ec93
Bull, Kim S.
751f8b25-29ba-4d4f-96e2-6c339a83a47f
Liossi, Christina
fd401ad6-581a-4a31-a60b-f8671ffd3558
Peacock, Janet
62df4239-ae7e-44cf-aa3c-3c2e7f1e511c
Yuen, Ho Ming
b1df4c57-0c2a-44ac-ab40-22b88e8effe8
Kennedy, Colin
7c3aff62-0a86-4b44-b7d7-4bc01f23ec93

Bull, Kim S., Liossi, Christina, Peacock, Janet, Yuen, Ho Ming and Kennedy, Colin (2015) Screening for cognitive deficit in 8 to 14 year old children with cerebellar tumors using self-report measures of executive and behavioral functioning and health-related quality of life. Neuro-Oncology, 17 (12), 1628-1636. (doi:10.1093/neuonc/nov129).

Record type: Article

Abstract

Background We aimed to identify a brief screening measure for detection of cognitive deficit in children treated for cerebellar tumors that would be useful in clinical practice.

Methods A sample of 72 children aged 8-14 years and within three years post-diagnosis for standard risk medulloblastoma (n=37) or low grade cerebellar astrocytoma (n=35) and 38 in a non-tumor group were assessed using teacher-, parent-, and child-report of the Behavior Rating Inventory of Executive Function (BRIEF), Strengths and Difficulties Questionnaire (SDQ), and Pediatric Quality of Life Inventory (PedsQL). The accuracy of these scores as a screen for a full scale Intelligence Quotient (FSIQ) <80 on the Wechsler Intelligence Scale for Children (WISC®-IV UK) was assessed using their receiver operating characteristic (ROC) curves.

Results The questionnaires with the highest areas under the ROC curves were the child- and parent-report PedsQL and the teacher-report BRIEF and SDQ. At optimal cut-off scores, their sensitivities (95% CIs) to cases of FSIQ<80 were 84 (60-96)%, 65 (41-84)%, 79 (54-93)%, and 84 (60-96)% and their specificities (95% CIs) were 79 (68-86)%, 87 (77-93)%, 77 (66-86)%, and 71 (64-84)% respectively. All cases of FSIQ<80 screened positive on either teacher-report SDQ or self-report PedsQL.

Conclusions The PedsQL child- and parent-report and the teacher-report BRIEF and SDQ have moderately good accuracy to discriminate between children with and without a FSIQ<80. The PedsQL could be used in a clinical setting, and the BRIEF and SDQ in an educational setting, to screen for cases with FSIQ<80 in children treated for brain tumors.

Text
Accepted ROC paper Bull et al Neuro-oncology - Accepted Manuscript
Download (1MB)

More information

Accepted/In Press date: 12 June 2015
e-pub ahead of print date: 22 July 2015
Published date: 1 December 2015
Keywords: screening, cognitive deficit, children, cerebellar tumors, health-related quality of life
Organisations: Faculty of Medicine, Psychology

Identifiers

Local EPrints ID: 379176
URI: http://eprints.soton.ac.uk/id/eprint/379176
ISSN: 1522-8517
PURE UUID: dfc5b919-4679-4bbe-967a-c91df9574a00
ORCID for Kim S. Bull: ORCID iD orcid.org/0000-0002-5541-4556
ORCID for Christina Liossi: ORCID iD orcid.org/0000-0003-0627-6377

Catalogue record

Date deposited: 15 Jul 2015 14:04
Last modified: 15 Mar 2024 03:24

Export record

Altmetrics

Contributors

Author: Kim S. Bull ORCID iD
Author: Janet Peacock
Author: Ho Ming Yuen
Author: Colin Kennedy

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×