Head and neck cancer risk calculator (HaNC-RC)-V.2. Adjustments and addition of symptoms and social history factors.


Journal

Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery
ISSN: 1749-4486
Titre abrégé: Clin Otolaryngol
Pays: England
ID NLM: 101247023

Informations de publication

Date de publication:
05 2020
Historique:
received: 03 12 2019
accepted: 20 01 2020
pubmed: 28 1 2020
medline: 31 8 2021
entrez: 28 1 2020
Statut: ppublish

Résumé

Head and neck cancer (HNC) diagnosis through the 2-week wait, urgent suspicion of cancer (USOC) pathway has failed to increase early cancer detection rates in the UK. A head and neck cancer risk calculator (HaNC-RC) has previously been designed to aid referral of high-risk patients to USOC clinics (predictive power: 77%). Our aim was to refine the HaNC-RC to increase its prediction potential. Following sample size calculation, prospective data collection and statistical analysis of referral criteria and outcomes. Large tertiary care cancer centre in Scotland. 3531 new patients seen in routine, urgent and USOC head and neck (HaN) clinics. Data collected were as follows: demographics, social history, presenting symptoms and signs and HNC diagnosis. Univariate and multivariate regression analysis were performed to identify significant predictors of HNC. Internal validation was performed using 1000 sample bootstrapping to estimate model diagnostics included the area under the receiver operator curve (AUC), sensitivity and specificity. The updated version of the risk calculator (HaNC-RC v.2) includes age, gender, unintentional weight loss, smoking, alcohol, positive and negative symptoms and signs of HNC. It has achieved an AUC of 88.6% with two recommended triage referral cut-offs to USOC (cut-off: 7.1%; sensitivity: 85%, specificity: 78.3%) or urgent clinics (cut-off: 2.2%; sensitivity: 97.1%; specificity of 52.9%). This could redistribute cancer detection through USOC clinics from the current 60.9%-85.2%, without affecting total numbers seen in each clinical setting. The use of the HaNC-RC v.2 has a significant potential in both identifying patients at high risk of HNC early thought USOC clinics but also improving health service delivery practices by reducing the number of inappropriately urgent referrals.

Identifiants

pubmed: 31985180
doi: 10.1111/coa.13511
pmc: PMC7318185
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

380-388

Informations de copyright

© 2020 The Authors. Clinical Otolaryngology published by John Wiley & Sons Ltd.

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Auteurs

Theofano Tikka (T)

Department of Otolaryngology - Head and Neck Surgery, Queen Elizabeth University Hospital Glasgow, Glasgow, UK.
School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK.

Kimberley Kavanagh (K)

Department of Mathematics and Statistics, University of Strathclyde, Glasgow, UK.

Anja Lowit (A)

School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK.

Pan Jiafeng (P)

Department of Mathematics and Statistics, University of Strathclyde, Glasgow, UK.

Harry Burns (H)

School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK.

Iain J Nixon (IJ)

Department of Otolaryngology - Head and Neck Surgery, NHS Lothian Edinburgh, Edinburgh, UK.

Vinidh Paleri (V)

Department of Otolaryngology - Head and Neck Surgery, The Royal Marsden NHS Foundation Trust, London, UK.

Kenneth MacKenzie (K)

Department of Otolaryngology - Head and Neck Surgery, Queen Elizabeth University Hospital Glasgow, Glasgow, UK.
Department of Mathematics and Statistics, University of Strathclyde, Glasgow, UK.

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