Routes to diagnosis for hepatocellular carcinoma patients: predictors and associations with treatment and mortality

Br J Cancer. 2024 Jun;130(10):1697-1708. doi: 10.1038/s41416-024-02645-3. Epub 2024 Mar 18.

Abstract

Background: Hepatocellular carcinoma (HCC) incidence has increased rapidly, and prognosis remains poor. We aimed to explore predictors of routes to diagnosis (RtD), and outcomes, in HCC cases.

Methods: HCC cases diagnosed 2006-2017 were identified from the National Cancer Registration Dataset and linked to Hospital Episode Statistics and the RtD metric. Multivariable logistic regression was used to explore associations between RtD, diagnosis year, 365-day mortality and receipt of potentially curative treatment.

Results: 23,555 HCC cases were identified; 36.1% via emergency presentation (EP), 30.2% GP referral (GP), 17.1% outpatient referral, 11.0% two-week wait and 4.6% other/unknown routes. Odds of 365-day mortality was >70% lower via GP or OP routes than EP, and odds of curative treatment 3-4 times higher. Further adjustment for cancer/cirrhosis stage attenuated the associations with curative treatment. People who were older, female, had alcohol-related liver disease, or were more deprived, were at increased risk of an EP. Over time, diagnoses via EP decreased, and via GP increased.

Conclusions: HCC RtD is an important predictor of outcomes. Continuing to reduce EP and increase GP and OP presentations, for example by identifying and regularly monitoring patients at higher risk of HCC, may improve stage at diagnosis and survival.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Carcinoma, Hepatocellular* / diagnosis
  • Carcinoma, Hepatocellular* / epidemiology
  • Carcinoma, Hepatocellular* / mortality
  • Carcinoma, Hepatocellular* / therapy
  • Female
  • Humans
  • Liver Neoplasms* / diagnosis
  • Liver Neoplasms* / epidemiology
  • Liver Neoplasms* / mortality
  • Liver Neoplasms* / therapy
  • Male
  • Middle Aged
  • Prognosis
  • Referral and Consultation / statistics & numerical data
  • Young Adult