Dimaras, H., Corson, T. W., Cobrinik, D., et al. (2015). Retinoblastoma. Nature Reviews Disease Primers, 1(1), 15021. https://doi.org/10.1038/nrdp.2015.21.
Article
PubMed
PubMed Central
Google Scholar
Thériault, B. L., Dimaras, H., Gallie, B. L., & Corson, T. W. (2014). The genomic landscape of retinoblastoma: A review: The genomic landscape of retinoblastoma. Clinical & Experimental Ophthalmology, 42(1), 33–52. https://doi.org/10.1111/ceo.12132.
Article
Google Scholar
(2009). National retinoblastoma strategy Canadian guidelines for care. Canadian Journal of Ophthalmology, 44, S9–S47. https://doi.org/10.3129/i09-194.
Hill, J. A., Gedleh, A., Lee, S., Hougham, K. A., & Dimaras, H. (2018). Knowledge, experiences and attitudes concerning genetics among retinoblastoma survivors and parents. European Journal of Human Genetics, 26(4), 505–517. https://doi.org/10.1038/s41431-017-0027-9.
Article
PubMed
PubMed Central
Google Scholar
Ford, J. S., Chou, J. F., Sklar, C. A., et al. (2015). Psychosocial outcomes in adult survivors of retinoblastoma. Journal of Clinical Oncology, 33(31), 3608–3614. https://doi.org/10.1200/JCO.2014.60.5733.
Article
PubMed
PubMed Central
Google Scholar
Batra, A., Kumari, M., Paul, R., Patekar, M., Dhawan, D., & Bakhshi, S. (2016). Quality of life assessment in retinoblastoma: A cross-sectional study of 122 survivors from India: Quality of life in retinoblastoma survivors. Pediatric Blood & Cancer, 63(2), 313–317. https://doi.org/10.1002/pbc.25781.
Article
Google Scholar
Friedman, D. N., Chou, J. F., Francis, J. H., et al. (2018). Vision-targeted health-related quality of life in adult survivors of retinoblastoma. JAMA Ophthalmol, 136(6), 637. https://doi.org/10.1001/jamaophthalmol.2018.1082.
Article
PubMed
PubMed Central
Google Scholar
Dimaras, H., Kimani, K., Dimba, E. A., et al. (2012). Retinoblastoma. Lancet, 379(9824), 1436–1446. https://doi.org/10.1016/S0140-6736(11)61137-9.
Article
PubMed
Google Scholar
van Dijk, J., Oostrom, K. J., Huisman, J., et al. (2010). Restrictions in daily life after retinoblastoma from the perspective of the survivors. Pediatric Blood & Cancer, 54(1), 110–115. https://doi.org/10.1002/pbc.22230.
Article
Google Scholar
Patient-reported outcome measures (PROMs). Canadian Institute for Health Information. Accessed November 11, 2019. https://www.cihi.ca/en/patient-reported-outcome-measures-proms
Wilson, R. (2018). Patient led PROMs must take Centre stage in cancer research. Research Involvement and Engagement, 4(1), 7, s40900-018-0092-0094. https://doi.org/10.1186/s40900-018-0092-4.
Article
Google Scholar
Deshpande, P., Sudeepthi, B., Rajan, S., & Abdul Nazir, C. (2011). Patient-reported outcomes: A new era in clinical research. Perspectives in Clinical Research, 2(4), 137. https://doi.org/10.4103/2229-3485.86879.
Article
PubMed
PubMed Central
Google Scholar
Dawson, J., Doll, H., Fitzpatrick, R., Jenkinson, C., & Carr, A. J. (2010). The routine use of patient reported outcome measures in healthcare settings. BMJ, 340(jan18 1), c186. https://doi.org/10.1136/bmj.c186.
Article
PubMed
Google Scholar
Raine, R., Fitzpatrick, R., Barratt, H., et al. (2016). Challenges, solutions and future directions in the evaluation of service innovations in health care and public health. Health Services and Delivery Research, 4(16), 1–136. https://doi.org/10.3310/hsdr04160.
Article
Google Scholar
Morris C, Gibbons E, Fitzpatrick R. Child and parent reported outcome measures: A scoping report focusing on feasibility for routine use in the NHS. University of Oxford Accessed November 17, 2019. https://phi.uhce.ox.ac.uk/pdf/PROMs_WithChildren_Oxford_2009.pdf.
Silverman, L. R., Demakos, E. P., Peterson, B. L., et al. (2002). Randomized controlled trial of Azacitidine in patients with the Myelodysplastic syndrome: A study of the Cancer and leukemia group B. Journal of Clinical Oncology, 20(10), 2429–2440. https://doi.org/10.1200/JCO.2002.04.117.
Article
CAS
PubMed
Google Scholar
Grant, A. M., Wileman, S. M., Ramsay, C. R., et al. (2008). Minimal access surgery compared with medical management for chronic gastro-oesophageal reflux disease: UK collaborative randomised trial. BMJ, 337(dec15 2), a2664. https://doi.org/10.1136/bmj.a2664.
Article
PubMed
PubMed Central
Google Scholar
Detmar, S. B., Muller, M. J., Schornagel, J. H., Wever, L. D. V., & Aaronson, N. K. (2002). Health-related quality-of-life assessments and patient-physician communication: A randomized controlled trial. JAMA., 288(23), 3027–3034. https://doi.org/10.1001/jama.288.23.3027.
Article
PubMed
Google Scholar
Williams, O., Fitzpatrick, R., Hajat, S., et al. (2002). Mortality, morbidity, and 1-year outcomes of primary elective total hip arthroplasty. The Journal of Arthroplasty, 17(2), 165–171. https://doi.org/10.1054/arth.2002.29389.
Article
PubMed
Google Scholar
Malchau, H., Garellick, G., Eisler, T., Kärrholm, J., & Herberts, P. (2005). PRESIDENTIAL GUEST ADDRESS: The Swedish Hip Registry: Increasing the Sensitivity by Patient Outcome Data. Clinical Orthopaedics, 441(NA), 19–29. https://doi.org/10.1097/01.blo.0000193517.19556.e4.
Article
Google Scholar
Zanoli, G., Nilsson, L. T., & Strömqvist, B. (2006). Reliability of the prospective data collection protocol of the Swedish spine register: Test-retest analysis of 119 patients. Acta Orthopaedica, 77(4), 662–669. https://doi.org/10.1080/17453670610012764.
Article
PubMed
Google Scholar
Black, N. (2013). Patient reported outcome measures could help transform healthcare. BMJ, (jan28 1), 346, f167. https://doi.org/10.1136/bmj.f167.
Engelen, V., van Zwieten, M., Koopman, H., et al. (2012). The influence of patient reported outcomes on the discussion of psychosocial issues in children with cancer. Pediatric Blood & Cancer, 59(1), 161–166. https://doi.org/10.1002/pbc.24089.
Article
Google Scholar
Tadic, V., Hogan, A., Sobti, N., Knowles, R. L., & Rahi, J. S. (2013). Patient-reported outcome measures (PROMs) in paediatric ophthalmology: A systematic review. The British Journal of Ophthalmology, 97(11), 1369–1381. https://doi.org/10.1136/bjophthalmol-2013-303350.
Article
PubMed
Google Scholar
Papadakos, J. K., Charow, R. C., Papadakos, C. J., Moody, L. J., & Giuliani, M. E. (2019). Evaluating cancer patient–reported outcome measures: Readability and implications for clinical use. Cancer., 125(8), 1350–1356. https://doi.org/10.1002/cncr.31928.
Article
PubMed
Google Scholar
Zhang, B., Lloyd, W., Jahanzeb, M., & Hassett, M. J. (2018). Use of patient-reported outcome measures in quality oncology practice initiative–registered practices: Results of a National Survey. Journal of Oncology Practice/ American Society of Clinical Oncology, 14(10), e602–e611. https://doi.org/10.1200/JOP.18.00088.
Article
Google Scholar
Denniston, A. K., Kyte, D., Calvert, M., & Burr, J. M. (2014). An introduction to patient-reported outcome measures in ophthalmic research. Eye., 28(6), 637–645. https://doi.org/10.1038/eye.2014.41.
Article
CAS
PubMed
PubMed Central
Google Scholar
Bramer, W. M., Rethlefsen, M. L., Mast, F., & Kleijnen, J. (2018). Evaluation of a new method for librarian-mediated literature searches for systematic reviews. Research Synthesis Methods, 9(4), 510–520. https://doi.org/10.1002/jrsm.1279.
Article
PubMed
Google Scholar
Bramer, W. M., Giustini, D., Kleijnen, J., & Franco, O. H. (2018). Searching Embase and MEDLINE by using only major descriptors or title and abstract fields: A prospective exploratory study. Systematic Reviews, 7(1), 200. https://doi.org/10.1186/s13643-018-0864-9.
Article
PubMed
PubMed Central
Google Scholar
Mokkink, L. B., Terwee, C. B., Patrick, D. L., et al. (2010). The COSMIN checklist for assessing the methodological quality of studies on measurement properties of health status measurement instruments: An international Delphi study. Quality of Life Research, 19(4), 539–549. https://doi.org/10.1007/s11136-010-9606-8.
Article
PubMed
PubMed Central
Google Scholar
Mokkink, L. B., de Vet, H. C. W., Prinsen, C. A. C., et al. (2018). COSMIN risk of Bias checklist for systematic reviews of patient-reported outcome measures. Quality of Life Research, 27(5), 1171–1179. https://doi.org/10.1007/s11136-017-1765-4.
Article
CAS
PubMed
Google Scholar
Buscemi, N., Hartling, L., Vandermeer, B., Tjosvold, L., & Klassen, T. P. (2006). Single data extraction generated more errors than double data extraction in systematic reviews. Journal of Clinical Epidemiology, 59(7), 697–703. https://doi.org/10.1016/j.jclinepi.2005.11.010.
Article
PubMed
Google Scholar
Interrater Reliability. In: Encyclopedia of Research Design. SAGE Publications, Inc.; 2010. doi:https://doi.org/10.4135/9781412961288.n194
Tang, E., Ekundayo, O., Peipert, J. D., et al. (2019). Validation of the patient-reported outcomes measurement information system (PROMIS)-57 and −29 item short forms among kidney transplant recipients. Quality of Life Research, 28(3), 815–827. https://doi.org/10.1007/s11136-018-2058-2.
Article
PubMed
Google Scholar
Cella, D., Riley, W., Stone, A., et al. (2010). The patient-reported outcomes measurement information system (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005–2008. Journal of Clinical Epidemiology, 63(11), 1179–1194. https://doi.org/10.1016/j.jclinepi.2010.04.011.
Article
PubMed
PubMed Central
Google Scholar
DeWalt, D. A., Gross, H. E., Gipson, D. S., et al. (2015). PROMIS() pediatric self-report scales distinguish subgroups of children within and across six common pediatric chronic health conditions. Quality of Life Research International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation, 24(9), 2195–2208. https://doi.org/10.1007/s11136-015-0953-3.
Article
Google Scholar
Juniper, E. F., Thompson, A. K., Ferrie, P. J., & Roberts, J. N. (1999). Validation of the standardized version of the Rhinoconjunctivitis quality of life questionnaire. The Journal of Allergy and Clinical Immunology, 104(2 Pt 1), 364–369. https://doi.org/10.1016/s0091-6749(99)70380-5.
Article
CAS
PubMed
Google Scholar
Juniper, E. F., Howland, W. C., Roberts, N. B., Thompson, A. K., & King, D. R. (1998). Measuring quality of life in children with rhinoconjunctivitis. The Journal of Allergy and Clinical Immunology, 101(2 Pt 1), 163–170. https://doi.org/10.1016/s0091-6749(98)70380-x.
Article
CAS
PubMed
Google Scholar
Matsumoto, H., Williams, B., Park, H. Y., et al. (2018). The final 24-item early onset scoliosis questionnaires (EOSQ-24): Validity, Reliability and Responsiveness. Journal of Pediatric Orthopedics, 38(3), 144–151. https://doi.org/10.1097/BPO.0000000000000799.
Article
PubMed
PubMed Central
Google Scholar
Corona, J., Matsumoto, H., Roye, D. P., & Vitale, M. G. (2011). Measuring quality of life in children with early onset scoliosis: Development and initial validation of the early onset scoliosis questionnaire. Journal of Pediatric Orthopedics, 31(2), 180–185. https://doi.org/10.1097/BPO.0b013e3182093f9f.
Article
PubMed
Google Scholar
Mladenov, K., Braunschweig, L., Behrend, J., Lorenz, H. M., von Deimling, U., & Hell, A. K. (2019). Validation of the German version of the 24-item early-onset scoliosis questionnaire. Journal of Neurosurgery. Pediatrics, 23(6), 688–693. https://doi.org/10.3171/2019.1.PEDS18704.
Article
Google Scholar
Davis, A. M., Wright, J. G., Williams, J. I., Bombardier, C., Griffin, A., & Bell, R. S. (1996). Development of a measure of physical function for patients with bone and soft tissue sarcoma. Quality of Life Research: an International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation, 5(5), 508–516. https://doi.org/10.1007/bf00540024.
Article
CAS
Google Scholar
Carr, T., Harris, D., & James, C. (2000). The Derriford appearance scale (DAS-59): A new scale to measure individual responses to living with problems of appearance. British Journal of Health Psychology, 5(2), 201–215. https://doi.org/10.1348/135910700168865.
Article
Google Scholar
Harris, D. L., & Carr, A. T. (2001). The Derriford appearance scale (DAS59): A new psychometric scale for the evaluation of patients with disfigurements and aesthetic problems of appearance. British Journal of Plastic Surgery, 54(3), 216–222. https://doi.org/10.1054/bjps.2001.3559.
Article
CAS
PubMed
Google Scholar
Leske, D. A., Hatt, S. R., & Holmes, J. M. (2010). Test-retest reliability of health-related quality-of-life questionnaires in adults with strabismus. American Journal of Ophthalmology, 149(4), 672–676. https://doi.org/10.1016/j.ajo.2009.11.004.
Article
PubMed
PubMed Central
Google Scholar
Mangione, C. M., Lee, P. P., Gutierrez, P. R., et al. (2001). Development of the 25-item National Eye Institute Visual Function Questionnaire. Archives of ophthalmology, 119(7), 1050–1058. https://doi.org/10.1001/archopht.119.7.1050.
Article
CAS
PubMed
Google Scholar
Angeles-Han, S. T., & Rabinovich, C. E. (2016). Uveitis in children. Current Opinion in Rheumatology, 28(5), 544–549. https://doi.org/10.1097/BOR.0000000000000316.
Article
PubMed
PubMed Central
Google Scholar
Angeles-Han, S. T., Yeh, S., McCracken, C., et al. (2015). Using the effects of youngsters’ eyesight on quality of life questionnaire to measure visual outcomes in children with uveitis: EYE-Q measures vision in children with uveitis. Arthritis Care and Research, 67(11), 1513–1520. https://doi.org/10.1002/acr.22627.
Article
PubMed
Google Scholar
Robertson, A., Tadic, V., Hundt, G., & Rahi, J. S. (2016). Patient-reported outcome measures (PROMs) of vision-related quality of life (VQoL) and functional vision (FV) for children and young people (CYP) aged 8-18 years. Investigative Ophthalmology & Visual Science, 57(12), 5605.
Google Scholar
Tadic, V., Robertson, A., Lewando-Hundt, G., & Rahi, J. S. (2016). Measuring vision-related quality of life (VQoL) of children and young people with visual impairment. Quality of Life Research, 25(1 Supplement 1), 90. https://doi.org/10.1007/s11136-016-1390-7.
Article
Google Scholar
Cochrane, G. M., Marella, M., Keeffe, J. E., & Lamoureux, E. L. (2011). The impact of vision impairment for children (IVI_C): Validation of a vision-specific pediatric quality-of-life questionnaire using Rasch analysis. Investigative Ophthalmology & Visual Science, 52(3), 1632. https://doi.org/10.1167/iovs.10-6079.
Article
Google Scholar
Cochrane, G., Lamoureux, E., & Keeffe, J. (2008). Defining the content for a new quality of life questionnaire for students with low vision (the impact of vision impairment on children: IVI_C). Ophthalmic Epidemiology, 15(2), 114–120. https://doi.org/10.1080/09286580701772029.
Article
PubMed
Google Scholar
Tadić, V., Cooper, A., Cumberland, P., Lewando-Hundt, G., & Rahi, J. S. (2013). Development of the functional vision questionnaire for children and young people with visual impairment. Ophthalmology., 120(12), 2725–2732. https://doi.org/10.1016/j.ophtha.2013.07.055.
Article
PubMed
Google Scholar
Khadka, J., Ryan, B., Margrain, T. H., Court, H., & Woodhouse, J. M. (2010). Development of the 25-item Cardiff visual ability questionnaire for children (CVAQC). The British Journal of Ophthalmology, 94(6), 730–735. https://doi.org/10.1136/bjo.2009.171181.
Article
PubMed
Google Scholar
Mokkink, L. B., Terwee, C. B., Gibbons, E., et al. (2010). Inter-rater agreement and reliability of the COSMIN (COnsensus-based standards for the selection of health status measurement instruments) checklist. BMC Medical Research Methodology, 10(1), 82. https://doi.org/10.1186/1471-2288-10-82.
Article
PubMed
PubMed Central
Google Scholar
McNeill, N. A., Kors, W. A., Bosscha, M. I., et al. (2017). Feasibility of RetinoQuest: E-health application to facilitate and improve additional care for retinoblastoma survivors. J Cancer Survivorship Reseach Practice, 11(6), 683–690. https://doi.org/10.1007/s11764-017-0642-z.
Article
Google Scholar
Rothrock, N. E., Kaiser, K. A., & Cella, D. (2011). Developing a valid patient-reported outcome measure. Clinical Pharmacology and Therapeutics, 90(5), 737–742. https://doi.org/10.1038/clpt.2011.195.
Article
CAS
PubMed
PubMed Central
Google Scholar
for the Child Vision PROMs group, Tadić, V., & Rahi, J. S. (2017). One size doesn’t fit all: Time to revisit patient-reported outcome measures (PROMs) in paediatric ophthalmology? Eye., 31(4), 511–518. https://doi.org/10.1038/eye.2016.316.
Article
Google Scholar
Anker, S. D., Agewall, S., Borggrefe, M., et al. (2014). The importance of patient-reported outcomes: A call for their comprehensive integration in cardiovascular clinical trials. European Heart Journal, 35(30), 2001–2009. https://doi.org/10.1093/eurheartj/ehu205.
Article
PubMed
Google Scholar
Brod, M., Tesler, L. E., & Christensen, T. L. (2009). Qualitative research and content validity: Developing best practices based on science and experience. Quality of Life Research International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation, 18(9), 1263–1278. https://doi.org/10.1007/s11136-009-9540-9.
Article
Google Scholar
Wiering, B., de Boer, D., & Delnoij, D. (2017). Patient involvement in the development of patient-reported outcome measures: The developers’ perspective. BMC Health Services Research, 17(1), 635. https://doi.org/10.1186/s12913-017-2582-8.
Article
PubMed
PubMed Central
Google Scholar
Staniszewska, S., Adebajo, A., Barber, R., et al. (2011). Developing the evidence base of patient and public involvement in health and social care research: The case for measuring impact: Patient and public involvement in health and social care research. International Journal of Consumer Studies, 35(6), 628–632. https://doi.org/10.1111/j.1470-6431.2011.01020.x.
Article
Google Scholar
Canadian Institutes of Health Research. Canada’s Strategy for Patient-Oriented Research. Accessed September 16, 2019. http://www.cihr-irsc.gc.ca/e/45851.html
Patient-Reported Outcome Measures: Use in Medical Product Development to Support Labeling Claims. Administration. US FDA. https://www.fda.gov/regulatory-information/search-fda-guidance-documents/patient-reported-outcome-measures-use-medical-product-development-support-labeling-claims. Accessed 5 Feb 2020.
Mokkink, L. B., Terwee, C. B., Patrick, D. L., et al. (2010). The COSMIN study reached international consensus on taxonomy, terminology, and definitions of measurement properties for health-related patient-reported outcomes. Journal of Clinical Epidemiology, 63(7), 737–745. https://doi.org/10.1016/j.jclinepi.2010.02.006.
Article
PubMed
Google Scholar
Bialocerkowski, A. E., & Bragge, P. (2008). Measurement error and reliability testing: Application to rehabilitation. International Journal of Therapy and Rehabilitation, 15(10), 422–427. https://doi.org/10.12968/ijtr.2008.15.10.31210.
Article
Google Scholar
Hays, R. D., & Hadorn, D. (1992). Responsiveness to change: An aspect of validity, not a separate dimension. Quality of Life Research, 1(1), 73–75. https://doi.org/10.1007/BF00435438.
Article
CAS
PubMed
Google Scholar
McKenna, S. P. (2011). Measuring patient-reported outcomes: Moving beyond misplaced common sense to hard science. BMC Medicine, 9(1), 86. https://doi.org/10.1186/1741-7015-9-86.
Article
PubMed
PubMed Central
Google Scholar
Nijsten, T., Meads, D., & McKenna, S. (2006). Dimensionality of the dermatology life quality index (DLQI): A commentary. Acta Dermato-Venereologica, 86(3), 284–285. https://doi.org/10.2340/00015555-0075.
Article
PubMed
Google Scholar
Bjorner, J. B., & Pejtersen, J. H. (2010). Evaluating construct validity of the second version of the Copenhagen Psychosocial Questionnaire through analysis of differential item functioning and differential item effect. Scandinavian Journal of Public Health, 38(3_suppl), 90–105. https://doi.org/10.1177/1403494809352533.
Article
PubMed
Google Scholar
Braithwaite, T., Calvert, M., Gray, A., Pesudovs, K., & Denniston, A. (2019). The use of patient-reported outcome research in modern ophthalmology: Impact on clinical trials and routine clinical practice. Patient Relat Outcome Meas, 10, 9–24. https://doi.org/10.2147/PROM.S162802.
Article
PubMed
PubMed Central
Google Scholar
Khadka, J., Fenwick, E., Lamoureux, E., & Pesudovs, K. (2016). Methods to Develop the Eye-tem Bank to Measure Ophthalmic Quality of Life. Optometry and Vision Science, 93(12), 1485–1494. https://doi.org/10.1097/OPX.0000000000000992.
Article
PubMed
Google Scholar
Haywood, K., Lyddiatt, A., Brace-McDonnell, S. J., Staniszewska, S., & Salek, S. (2017). Establishing the values for patient engagement (PE) in health-related quality of life (HRQoL) research: An international, multiple-stakeholder perspective. Quality of Life Research, 26(6), 1393–1404. https://doi.org/10.1007/s11136-016-1465-5.
Article
PubMed
Google Scholar
Anthony, S. J., Selkirk, E., Sung, L., et al. (2014). Considering quality of life for children with cancer: A systematic review of patient-reported outcome measures and the development of a conceptual model. Quality of life research, 23(3), 771–789. https://doi.org/10.1007/s11136-013-0482-x.
Article
PubMed
Google Scholar
Davis, E., Waters, E., Mackinnon, A., et al. (2006). Paediatric quality of life instruments: A review of the impact of the conceptual framework on outcomes. Developmental Medicine and Child Neurology, 48(04), 311. https://doi.org/10.1017/S0012162206000673.
Article
PubMed
Google Scholar
Colenbrander, A. (2010). Assessment of functional vision and its rehabilitation. Acta Ophthalmologica, 88(2), 163–173. https://doi.org/10.1111/j.1755-3768.2009.01670.x.
Article
PubMed
Google Scholar
Fayed, N., De Camargo, O. K., Kerr, E., et al. (2012). Generic patient-reported outcomes in child health research: A review of conceptual content using World Health Organization definitions: Review. Developmental Medicine and Child Neurology, 54(12), 1085–1095. https://doi.org/10.1111/j.1469-8749.2012.04393.x.
Article
PubMed
Google Scholar
Ashing-Giwa, K. T. (2005). The contextual model of HRQoL: A paradigm for expanding the HRQoL framework. Quality of Life Research, 14(2), 297–307. https://doi.org/10.1007/s11136-004-0729-7.
Article
PubMed
Google Scholar
Sabri, K., Knapp, C. M., Thompson, J. R., & Gottlob, I. (2006). The VF-14 and psychological impact of amblyopia and strabismus. Investigative Ophthalmology & Visual Science, 47(10), 4386. https://doi.org/10.1167/iovs.05-1365.
Article
Google Scholar
Pesudovs, K., Burr, J. M., Harley, C., & Elliott, D. B. (2007). The development, Assessment, and Selection of Questionnaires. Optometry and Vision Science, 84(8), 663–674. https://doi.org/10.1097/OPX.0b013e318141fe75.
Article
PubMed
Google Scholar