| Title |
Parent-reported cognitive function is associated with leukoencephalopathy in children with brain tumors
|
|---|---|
| Published in |
Quality of Life Research, April 2017
|
| DOI | 10.1007/s11136-017-1583-8 |
| Pubmed ID | |
| Authors |
Jin-Shei Lai, Corey Bregman, Frank Zelko, Cindy Nowinski, David Cella, Jennifer J. Beaumont, Stewart Goldman |
| Abstract |
Cognitive dysfunction is a major concern for children with brain tumors. A valid, user-friendly screening tool could facilitate prompt referral for comprehensive neuropsychological assessments and therefore early intervention. Applications of the pediatric perceived cognitive function item bank (pedsPCF) such as computerized adaptive testing can potentially serve as such a tool given its brevity and user-friendly nature. This study aimed to evaluate whether pedsPCF was a valid indicator of cerebral compromise using the criterion of structural brain changes indicated by leukoencephalopathy grades. Data from 99 children (mean age = 12.6 years) with brain tumors and their parents were analyzed. Average time since diagnosis was 5.8 years; time since last treatment was 4.3 years. Leukoencephalopathy grade (range 0-4) was based on white matter damage and degree of deep white matter volume loss shown on MRI. Parents of patients completed the pedsPCF. Scores were based on the US general population-based T-score metric (mean = 50; SD = 10). Higher scores reflect better function. Leukoencephalopathy grade distributions were as follows: 36 grade 0, 27 grade 1, 22 grade 2, 13 grade 3, and 1 grade 4. The mean pedsPCF T-score was 48.3 (SD = 8.3; range 30.5-63.7). The pedsPCF scores significantly discriminated patients with different leukoencephalopathy grades, F = 4.14, p = 0.0084. Effect sizes ranged from 0.09 (grade 0 vs. 1) to 1.22 (grade 0 vs. 3/4). This study demonstrates that the pedsPCF is a valid indicator of leukoencephalopathy and provides support for its use as a screening tool for more comprehensive neurocognitive testing. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 74 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 16% |
| Student > Bachelor | 10 | 14% |
| Researcher | 9 | 12% |
| Student > Ph. D. Student | 6 | 8% |
| Student > Doctoral Student | 5 | 7% |
| Other | 12 | 16% |
| Unknown | 20 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 24 | 32% |
| Medicine and Dentistry | 10 | 14% |
| Nursing and Health Professions | 6 | 8% |
| Neuroscience | 2 | 3% |
| Social Sciences | 2 | 3% |
| Other | 6 | 8% |
| Unknown | 24 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 August 2017.
All research outputs
#14,344,573
of 22,968,808 outputs
Outputs from Quality of Life Research
#1,519
of 2,910 outputs
Outputs of similar age
#172,416
of 309,828 outputs
Outputs of similar age from Quality of Life Research
#33
of 72 outputs
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