UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Diagnostic timeliness in teenagers and young adults with cancer: Cross-sectional findings from the BRIGHTLIGHT cohort

Lyratzopoulos, G; Herbert, A; Whelan, J; Taylor, RM; Barber, J; Gibson, F; Fern, L; (2018) Diagnostic timeliness in teenagers and young adults with cancer: Cross-sectional findings from the BRIGHTLIGHT cohort. The Lancet Child and Adolescent Health , 2 (3) pp. 180-190. 10.1016/S2352-4642(18)30004-X. Green open access

[img]
Preview
Text
Lyratzopoulos_PIIS235246421830004X.pdf - Published version

Download (713kB) | Preview

Abstract

BACKGROUND: Adolescents and young adults (AYAs) are thought to experience prolonged intervals to cancer diagnosis, but evidence quantifying this hypothesis and identifying high-risk patient subgroups is insufficient. We aimed to investigate diagnostic timeliness in a cohort of AYAs with incident cancers and to identify factors associated with variation in timeliness. METHODS: We did a cross-sectional analysis of the BRIGHTLIGHT cohort, which included AYAs aged 12–24 years recruited within an average of 6 months from new primary cancer diagnosis from 96 National Health Service hospitals across England between July 1, 2012, and April 30, 2015. Participants completed structured, face-to-face interviews to provide information on their diagnostic experience (eg, month and year of symptom onset, number of consultations before referral to specialist care); demographic information was extracted from case report forms and date of diagnosis and cancer type from the national cancer registry. We analysed these data to assess patient interval (time from symptom onset to first presentation to a general practitioner [GP] or emergency department), the number of prereferral GP consultations, and the symptom onset-to-diagnosis interval (time from symptom onset to diagnosis) by patient characteristic and cancer site, and examined associations using multivariable regression models. FINDINGS: Of 1114 participants recruited to the BRIGHTLIGHT cohort, 830 completed a face-to-face interview. Among participants with available information, 204 (27%) of 748 had a patient interval of more than a month and 242 (35%) of 701 consulting a general practitioner had three or more prereferral consultations. The median symptom onset-to-diagnosis interval was 62 days (IQR 29–153). Compared with male AYAs, female AYAs were more likely to have three or more consultations (adjusted odds ratio [OR] 1·6 [95% CI 1·1–2·3], p=0·0093) and longer median symptom onset-to-diagnosis intervals (adjusted median interval longer by 24 days [95% CI 11–37], p=0·0005). Patients with lymphoma or bone tumours (adjusted OR 1·2 [95% CI 0·6–2·1] compared with lymphoma) were most likely to have three or more consultations and those with melanoma least likely (0·2 [0·1–0·7] compared with lymphoma). The adjusted median symptom onset-to-diagnosis intervals were longest in AYAs with bone tumours (51 days [95% CI 29–73] longer than for lymphoma) and shortest in those with leukaemia (33 days [17–49] shorter than for lymphoma). INTERPRETATION: The findings provide a benchmark for diagnostic timeliness in young people with cancer and help to identify subgroups at higher risk of a prolonged diagnostic journey. Further research is needed to understand reasons for these findings and to prioritise and stratify early diagnosis initiatives for AYAs.

Type: Article
Title: Diagnostic timeliness in teenagers and young adults with cancer: Cross-sectional findings from the BRIGHTLIGHT cohort
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/S2352-4642(18)30004-X
Publisher version: https://doi.org/10.1016/S2352-4642(18)30004-X
Language: English
Additional information: © The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.
Keywords: Cancer, Diagnosis, Adolescent, Young Adult, Symptom Assessment, BRIGHTLIGHT
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Cancer Institute
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Behavioural Science and Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL EGA Institute for Womens Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL EGA Institute for Womens Health > Maternal and Fetal Medicine
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science
URI: https://discovery.ucl.ac.uk/id/eprint/10040884
Downloads since deposit
41Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item