Abstract
Purpose
Cognitive dysfunction is a common concern for children with brain tumors (BTs) or those receiving central nervous system (CNS) toxic cancer treatments. Perceived cognitive function (PCF) is an economical screening that may be used to trigger full, formal cognitive testing. We assessed the potential clinical utility of PCF by comparing parent-reported scores for children with cancer with scores from the general US population.
Methods
Children (n = 515; mean age = 13.5 years; 57.0 % male) and one of their parents were recruited from pediatric oncology clinics. Most children (53.3 %) had a diagnosis of CNS tumor with an average time since diagnosis of 5.6 years. PCF was evaluated using the pediatric PCF item bank (pedsPCF), which was developed and normed on a sample drawn from the US general pediatric population. Children also completed computer-based neuropsychological tests. We tested relationships between PCF and clinical variables. Differential item functioning (DIF) was used to evaluate measurement bias between the samples.
Results
No item showed DIF, supporting the use of pedsPCF in the cancer sample. PedsPCF differentiated children with (vs. without) a BT, p < 0.01, and groups defined by years since diagnosis, p < 0.01. It significantly (p < 0.05) correlated with computerized neuropsychological tests in 40 of 60 comparisons. Children with BTs were rated as having worse pedsPCF scores than the norm, regardless of years since diagnosis.
Conclusions
PCF significantly differentiated cancer survivors with various clinical characteristics. It is brief and easy to implement. PCF should be considered for routine care of pediatric cancer survivors.
Similar content being viewed by others
References
Howlander, N., Noone, A. M., Krapcho, M., Neyman, N., Aminou, R., Waldron, W., et al. (2011). SEER cancer statistics review, 1975–2008. In N. C. Institute. (Ed.) (Vol. based on November 2010 SEER data submission, posted on the SEER web site). Bethesda, MD.
Oeffinger, K. C., Mertens, A. C., Sklar, C. A., Kawashima, T., Hudson, M. M., Meadows, A. T., et al. (2006). Chronic health conditions in adult survivors of childhood cancer. New England Journal of Medicine, 355(15), 1572–1582.
Waber, D. P., Carpentieri, S. C., Klar, N., Silverman, L. B., Schwenn, M., Hurwitz, C. A., et al. (2000). Cognitive sequelae in children treated for acute lymphoblastic leukemia with dexamethasone or prednisone. Journal of Pediatric Hematology/oncology, 22(3), 206–213.
Butler, R. W., & Mulhern, R. K. (2005). Neurocognitive interventions for children and adolescents surviving cancer. Journal of Pediatric Psychology, 30(1), 65–78.
Mulhern, R. K., Merchant, T. E., Gajjar, A., Reddick, W. E., & Kun, L. E. (2004). Late neurocognitive sequelae in survivors of brain tumours in childhood. Lancet Oncology, 5(7), 399–408.
Ris, M. D., Packer, R., Goldwein, J., Jones-Wallace, D., & Boyett, J. M. (2001). Intellectual outcome after reduced-dose radiation therapy plus adjuvant chemotherapy for medulloblastoma: A Children’s Cancer Group study. Journal of Clinical Oncology, 19(15), 3470–3476.
Moore, B. D., & II, I. (2005). Neurocognitive outcomes in survivors of childhood cancer. Journal of Pediatric Psychology, 30(1), 51–63.
Ellenberg, L., Liu, Q., Yasui, Y., Gioia, G., Packer, R. J., Mertens, A., et al. (2009). Neurocognitive status in long-term survivors of childhood CNS malignancies: A report from the Childhood Cancer Survivor Study. Neuropsychology, 23(6), 705–717.
Patenaude, A. F., & Kupst, M. J. (2005). Psychosocial functioning in pediatric cancer. Journal of Pediatric Psychology, 30(1), 9–27.
Zebrack, B. J., & Zeltzer, L. K. (2003). Quality of life issues and cancer survivorship. Current Problems in Cancer, 27(4), 198–211.
Lavigne, J. V., & Faier-Routman, J. (1992). Psychological adjustment to pediatric physical disorders: A meta-analytic review. Journal of Pediatric Psychology, 17(2), 133–157.
Ferguson, R. J., McDonald, B. C., Saykin, A. J., & Ahles, T. A. (2007). Brain structure and function differences in monozygotic twins: Possible effects of breast cancer chemotherapy. Journal of Clinical Oncology, 25(25), 3866–3870.
Mahone, E. M., Zabel, T. A., Levey, E., Verda, M., & Kinsman, S. (2002). Parent and self-report ratings of executive function in adolescents with myelomeningocele and hydrocephalus. Child Neuropsychology, 8(4), 258–270.
Lai, J.-S., Butt, Z., Zelko, F., Cella, D., Krull, K., Kieran, M., et al. (2011). Development of a parent-report cognitive function item bank using item response theory and exploration of its clinical utility in computerized adaptive testing. Journal of Pediatric Psychology, 36(7), 766–779.
Hambleton, R. K., Swaminathan, H., & Rogers, H. J. (1991). Fundamentals of item response theory. Newbury Park, CA: SAGE Publications, Inc.
Reeve, B. B., Hays, R. D., Bjorner, J. B., Cook, K. F., Crane, P. K., Teresi, J. A., et al. (2007). Psychometric evaluation and calibration of health-related quality of life item banks: Plans for the patient-reported outcomes measurement information system (PROMIS). Medical Care, 45(5 Suppl 1), S22–S31.
Weiss, D. J., & Kingsbury, G. (1984). Application of computerized adaptive testing to educational problems. Journal of Educational Measurement, 21(4), 361–375.
Ichimura, S., Ohira, T., Kobayashi, M., Kano, T., Akiyama, T., Orii, M., et al. (2010). Assessment of cognitive function before and after surgery for posterior cranial fossa lesions using computerized and conventional tests. Neurologia Medico-Chirurgica, 50(6), 441–448.
Mollica, C. M., Maruff, P., & Vance, A. (2004). Development of a statistical approach to classifying treatment response in individual children with ADHD. Human Psychopharmacology, 19(7), 445–456.
Williams, J., Thomas, P. R., Maruff, P., Butson, M., & Wilson, P. H. (2006). Motor, visual and egocentric transformations in children with developmental coordination disorder. Child: Care, Health and Development, 32(6), 633–647.
Collie, A., Maruff, P., Makdissi, M., McCrory, P., McStephen, M., & Darby, D. (2003). CogSport: reliability and correlation with conventional cognitive tests used in postconcussion medical evaluations. Clinical Journal of Sport Medicine, 13(1), 28–32.
Cysique, L. A. J., Maruff, P., Darby, D., & Brew, B. J. (2006). The assessment of cognitive function in advanced HIV-1 infection and AIDS dementia complex using a new computerised cognitive test battery. Archives of Clinical Neuropsychology, 21(2), 185–194.
Lai, J. S., Zelko, F., Butt, Z., Cella, D., Kieran, M., Krull, K., et al. (2011). Perceived cognitive function reported by parents of the United States pediatric population. Child’s Nervous System, 27(2), 285–293.
Lai, J. S., Butt, Z., Zelko, F., Cella, D., Krull, K. R., Kieran, M. W., et al. (2011). Development of a parent-report cognitive function item bank using item response theory and exploration of its clinical utility in computerized adaptive testing. Journal of Pediatric Psychology, 36(7), 766–779.
Muthen, L. K., & Muthen, B. O. (2006). Mplus user’s guide. Los Angeles, CA: Muthen & Muthen.
Lai, J. S., Crane, P. K., & Cella, D. (2006). Factor analysis techniques for assessing sufficient unidimensionality of cancer related fatigue. Quality of Life Research, 15(7), 1179–1190.
Orlando, M., & Thissen, D. (2003). Further examination of the performance of S-X2, an item fit index for dichotomous item response theory models. Applied Psychological Measurement, 27, 289–298.
Samejima, F. (1997). The graded response model. In W. J. van der Linden & R. Hambleton (Eds.), Handbook of modern item response theory (pp. 85–100). New York: Springer.
Lai, J-S, Cella, D., Choi, S., Junghaenel, D. U., Christodoulou, C., Gershon, R., & Stone, A. (2011) How item banks and their application can influence measurement practice in rehabilitation medicine: A PROMIS fatigue item bank example. Archives of Physical Medicine and Rehabilitation, 92(Suppl 1), S20–S27.
Lai, J. S., Teresi, J. A., & Gershon, R. (2005). Procedures for the analysis of differential item functioning (DIF) for small sample sizes. Evaluation and the Health Professions, 28, 283–294.
Teresi, J. A., Ramirez, M., Lai, J. S., & Silver, S. (2008). Occurrences and sources of differential item functioning (DIF) in patient-reported outcome measures: Description of DIF methods, and review of measures of depression, quality of life and general health. Psychology Science Quarterly, 50(4), 538–612.
Crane, P. K., Gibbons, L. E., Jolley, L., & van Belle, G. (2006). Differential item functioning analysis with ordinal logistic regression techniques: DIFdetect and difwithpar. Medical Care, 44(11 Suppl 3), S115–S123.
Crane, P. K., Gibbons, L. E., Ocepek-Welikson, K., Cook, K., Cella, D., Narasimhalu, K., et al. (2007). A comparison of three sets of criteria for determining the presence of differential item functioning using ordinal logistic regression. Quality of Life Research, 16(Suppl 1), 69–84.
Choi, S. W., Gibbons, L. E., & Crane, P. K. (2011). lordif: An R package for detecting differential item functioning using iterative hybrid ordinal logistic regression/item response theory and Monte Carlo simulations. Journal of Statistical Software, 39(8), 1–30.
Stevens, J. (1996). Applied multivariate statistics for the social sciences. Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1(2), 130–149.
Silver, C. H. (2000). Ecological validity of neuropsychological assessment in childhood traumatic brain injury. The Journal of head trauma rehabilitation, 15(4), 973–988.
Gioia, G. A., & Isquith, P. K. (2004). Ecological assessment of executive function in traumatic brain injury. Developmental Psychology, 25(1–2), 135–158.
Chaytor, N., & Schmitter-Edgecombe, M. (2003). The ecological validity of neuropsychological tests: A review of the literature on everyday cognitive skills. Neuropsychology Review, 13(4), 181–197.
Spooner, D. M., & Pachana, N. A. (2006). Ecological validity in neuropsychological assessment: A case for greater consideration in research with neurologically intact populations. Archives of Clinical Neuropsychology, 21(4), 327–337.
Schwartz, B. L., Perfect, T. J., & Perfect, T. (2002). Introduction: Toward an applied metacognition. In T. J. Perfect and B. L. Schwartz (Eds.), Applied metacognition (pp. 1–10). West Nyack, NY: Cambridge University Press.
Flavell, J. H. (1979). Metacognitive and cognitive monitoring: A new area of cognitive developmental inquiry. American Psychologist, 34, 906–911.
Schneider, W., Lockl, K., & Perfect, T. (2002). The development of metacognition knowledge in children and adolescents. T. J. Perfect and B. L. Schwartz (Eds.), Applied metacognition (pp. 224–259). West Nyack, NY: Cambridge University Press.
Acknowledgments
This study was supported by the National Cancer Institute at the National Institutes of Health (R01CA174452; Principle Investigator: Jin-Shei Lai).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Lai, JS., Zelko, F., Krull, K.R. et al. Parent-reported cognition of children with cancer and its potential clinical usefulness. Qual Life Res 23, 1049–1058 (2014). https://doi.org/10.1007/s11136-013-0548-9
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11136-013-0548-9