{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,13]],"date-time":"2026-09-13T04:36:42Z","timestamp":1789274202574,"version":"build-2803163510"},"reference-count":22,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2025,5,29]],"date-time":"2025-05-29T00:00:00Z","timestamp":1748476800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001505","name":"Health Research Council of New Zealand","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001505","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J Paediatrics Child Health"],"published-print":{"date-parts":[[2025,8]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aim<\/jats:title>\n                    <jats:p>To develop and test a clinical prediction model based on demography and symptoms to assist in screening for scabies diagnosis in primary care.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Data from a scabies prevalence survey conducted in Auckland, New Zealand (NZ) were analysed using logistic regression to predict diagnosis, defined by either clinical criteria (International Alliance for the Control of Scabies, IACS) or quantitative polymerase chain reaction (qPCR) for scabies derived from a skin swab. Best subsets regression was used to select predictors in the final models, using Akaike's information criterion. Model performance was assessed using internal validation with bootstrap resampling.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>From a survey of 181 children aged between 8\u2009months and 14\u2009years, 105 were available for analysis with complete questionnaires. Age and symptoms of itch (in the child and their close contacts) were retained as predictors of the model where clinical scabies diagnosis was the outcome. In addition to these predictors, whether household members were affected by insect bites, skin sores or blisters was also retained as a predictor of qPCR\u2010based diagnosis. Accuracy was good for both models, with discrimination and calibration indices favourable (Harrell's concordance index 0.96 [IACS] and 0.85 [qPCR]; calibration slope 0.82 [IACS] and 0.77 [qPCR]).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Simple logistic models based on common symptoms of scabies, especially itch in the child and \u2018simultaneous itch in the family\u2019, accurately predict scabies status. Such tools have potential use in supporting screening and improving diagnosis of scabies in community and primary care settings.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/jpc.70100","type":"journal-article","created":{"date-parts":[[2025,5,29]],"date-time":"2025-05-29T07:49:34Z","timestamp":1748504974000},"page":"1216-1225","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["A Clinical Prediction Model to Assist Screening Patients for Scabies in Primary Care"],"prefix":"10.1111","volume":"61","author":[{"given":"Sanskruti","family":"Zaveri","sequence":"first","affiliation":[{"name":"Section of Epidemiology and Biostatistics, School of Population Health, Faculty of Medical and Health Sciences The University of Auckland  Auckland New Zealand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tarun","family":"Nambiar","sequence":"additional","affiliation":[{"name":"Section of Epidemiology and Biostatistics, School of Population Health, Faculty of Medical and Health Sciences The University of Auckland  Auckland New Zealand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Simon","family":"Thornley","sequence":"additional","affiliation":[{"name":"Section of Epidemiology and Biostatistics, School of Population Health, Faculty of Medical and Health Sciences The University of Auckland  Auckland New Zealand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vanessa","family":"Selak","sequence":"additional","affiliation":[{"name":"Section of Epidemiology and Biostatistics, School of Population Health, Faculty of Medical and Health Sciences The University of Auckland  Auckland New Zealand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7550-9096","authenticated-orcid":false,"given":"Gerhard","family":"Sundborn","sequence":"additional","affiliation":[{"name":"Department of Pacific Health School of Population Health, Faculty of Medical and Health Sciences, the University of Auckland  Auckland New Zealand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8367-0947","authenticated-orcid":false,"given":"Rachel","family":"Roskvist","sequence":"additional","affiliation":[{"name":"General Practice and Primary Healthcare, Faculty of Medical and Health Sciences, the University of Auckland  Auckland New Zealand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arthur J.","family":"Morris","sequence":"additional","affiliation":[{"name":"Clinical Microbiology, Laboratory, LABPLUS, Auckland City Hospital  Auckland New Zealand"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,5,29]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1111\/jpc.13851"},{"key":"e_1_2_11_3_1","doi-asserted-by":"publisher","DOI":"10.4269\/ajtmh.16-0753"},{"key":"e_1_2_11_4_1","unstructured":"World Health Organisation \u201cScabies \u201d(World Health Organisation Geneva: 2023) https:\/\/www.who.int\/news\u2010room\/fact\u2010sheets\/detail\/scabies."},{"key":"e_1_2_11_5_1","doi-asserted-by":"publisher","DOI":"10.1111\/jdv.12099"},{"key":"e_1_2_11_6_1","doi-asserted-by":"publisher","DOI":"10.26635\/6965.5610"},{"issue":"1","key":"e_1_2_11_7_1","article-title":"Sight the Mite: A Meta\u2010Analysis on the Diagnosis of Scabies","volume":"15","author":"Shoukat Q.","year":"2023","journal-title":"Cureus"},{"key":"e_1_2_11_8_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pntd.0009149"},{"key":"e_1_2_11_9_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pntd.0005726"},{"key":"e_1_2_11_10_1","doi-asserted-by":"publisher","DOI":"10.1111\/jpc.16512"},{"key":"e_1_2_11_11_1","doi-asserted-by":"publisher","DOI":"10.1111\/bjd.18943"},{"key":"e_1_2_11_12_1","doi-asserted-by":"publisher","DOI":"10.5114\/ada.2020.94275"},{"key":"e_1_2_11_13_1","doi-asserted-by":"publisher","DOI":"10.1093\/eurheartj\/ehu207"},{"key":"e_1_2_11_14_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12916\u2010014\u20100241\u2010z"},{"key":"e_1_2_11_15_1","first-page":"22","volume-title":"Model Selection and Model Averaging","author":"Claeskens G.","year":"2012"},{"key":"e_1_2_11_16_1","volume-title":"Tutorials in Biostatistics: Volume 2, Statistical Modelling of Complex Medical Data","author":"D'Agostino R. 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