Evidence map›Paper›PMID 31985180›Full record

ArticleClinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery2020

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

Theofano Tikka, Kimberley Kavanagh, Anja Lowit, Pan Jiafeng, Harry Burns, Iain J Nixon, Vinidh Paleri, Kenneth MacKenzie

Open access · hybridAbstract read
In one paragraph

Article in Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
7.6field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 67 citations in OpenAlex.

  1. Article
  2. A nurse-led telephone clinic can safely triage suspected head and neck cancer referrals using the head and neck risk calculator.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Machine Learning in Clinical Diagnosis of Head and Neck Cancer.Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery · 2025
    Observational
  11. Article
  12. Article
  13. Implementation of the Symptom Based Risk Calculator for Head and Neck Cancer HaNC-RC v.2 Post COVID-19 Pandemic. A Single Centre Audit.Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India · 2024
    Article
  14. Article
  15. The impact of 2 weeks wait referral on survival of head and neck cancer patients.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Risk prediction models for head and neck cancer: A rapid review.Laryngoscope investigative otolaryngology · 2022
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Theofano TikkaDepartment of Otolaryngology - Head and Neck Surgery, Queen Elizabeth University Hospital Glasgow, Glasgow, UK.ORCID 0000-0003-2828-2874
Kimberley KavanaghDepartment of Mathematics and Statistics, University of Strathclyde, Glasgow, UK.
Anja LowitSchool of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK.
Pan JiafengDepartment of Mathematics and Statistics, University of Strathclyde, Glasgow, UK.
Harry BurnsSchool of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK.
Iain J NixonDepartment of Otolaryngology - Head and Neck Surgery, NHS Lothian Edinburgh, Edinburgh, UK.
Vinidh PaleriDepartment of Otolaryngology - Head and Neck Surgery, The Royal Marsden NHS Foundation Trust, London, UK.ORCID 0000-0002-7933-4585
Kenneth MacKenzieDepartment of Otolaryngology - Head and Neck Surgery, Queen Elizabeth University Hospital Glasgow, Glasgow, UK.
University of Strathclyde · GBNHS Lothian · GBRoyal Marsden NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesHead 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.

designFollowing sample size calculation, prospective data collection and statistical analysis of referral criteria and outcomes.

settingLarge tertiary care cancer centre in Scotland.

participants3531 new patients seen in routine, urgent and USOC head and neck (HaN) clinics.

main outcome measuresData 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.

resultsThe 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.

conclusionsThe 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.

Indexed as

AdultAgedEarly Detection of CancerFemaleHead and Neck NeoplasmsHealth BehaviorHumansMaleMiddle AgedPredictive Value of TestsRisk AssessmentRisk FactorsROC CurveScotlandSocial BehaviorSymptom Assessmentdiagnosishead and neck cancerpathwayreferralrisk calculator

Identifiers

PMID31985180
PMCPMC7318185
OpenAlexW3002816965

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.