Cited by 317Liver Disease Diagnosis and TreatmentLiver Diseases and ImmunityAlcohol Consumption and Health Effects

Risks and clinical predictors of cirrhosis and hepatocellular carcinoma diagnoses in adults with diagnosed NAFLD: real-world study of 18 million patients in four European cohorts

Open access
Alexander, Myriam, Loomis, A. Katrina, van der Lei, Johan, Duarte-Salles, Talita, Prieto-Alhambra, Daniel, Ansell, David, Pasqua, Alessandro, Lapi, Francesco +6 more·2019·BMC Medicine

Abstract

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is a common condition that progresses in some patients to steatohepatitis (NASH), cirrhosis and hepatocellular carcinoma (HCC). Here we used healthcare records of 18 million adults to estimate risk of acquiring advanced liver disease diagnoses in patients with NAFLD or NASH compared to individually matched controls. METHODS: Data were extracted from four European primary care databases representing the UK, Netherlands, Italy and Spain. Patients with a recorded diagnosis of NAFLD or NASH (NAFLD/NASH) were followed up for incident cirrhosis and HCC diagnoses. Each coded NAFLD/NASH patient was matched to up to 100 "non-NAFLD" patients by practice site, gender, age ± 5 years and visit recorded within ± 6 months. Hazard ratios (HR) were estimated using Cox models adjusted for age and smoking status and pooled across databases by random effects meta-analyses. RESULTS: Out of 18,782,281 adults, we identified 136,703 patients with coded NAFLD/NASH. Coded NAFLD/NASH patients were more likely to have diabetes, hypertension and obesity than matched controls. HR for cirrhosis in patients compared to controls was 4.73 (95% CI 2.43-9.19) and for HCC, 3.51 (95% CI 1.72-7.16). HR for either outcome was higher in patients with NASH and those with high-risk Fib-4 scores. The strongest independent predictor of a diagnosis of HCC or cirrhosis was baseline diagnosis of diabetes. CONCLUSIONS: Real-world population data show that recorded diagnosis of NAFLD/NASH increases risk of life-threatening liver outcomes. Diabetes is an independent predictor of advanced liver disease diagnosis, emphasising the need to identify specific groups of patients at highest risk.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1186/s12916-019-1321-x

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • T2D was the strongest independent risk factor for the development of HCC in a large European population-based study that included 136,703 individuals with MASLD and a low prevalence of advanced fibrosis as assessed by FIB-4.

    “T2D was also found to be the strongest independent risk factor for the development of HCC in a large European population-based study that included 136,703 individuals with MASLD and a low prevalence of advanced fi brosis as assessed by FIB-4.”

    From EASL-EASD-EASO Clinical Practice Guidelines on the management of metabolic dysfunction-associated steatotic liver disease (MASLD). (2024) · cites this paper as [56]

    The Discussion identifies diabetes as the strongest independent risk factor for a new cirrhosis or HCC diagnosis, and the Abstract reports 136,703 patients with coded NAFLD/NASH. Results Table 2 shows that only 4.7% of patients with available FIB-4 scores were in the high-risk category, but FIB-4 was calculable for only 63,971 patients (Results, ‘Fib-4 predicts disease progression’). The paper does not establish a low prevalence of advanced fibrosis across all 136,703 patients, and it records diabetes without specifying T2D. (LLM, conf=0.86)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The citation lists haven’t been fetched yet

References 30 · Cited by 317

Authors
Alexander, M., Loomis, A. K., van der Lei, J., Duarte-Salles, T., Prieto-Alhambra, D., Ansell, D., Pasqua, A., Lapi, F., Rijnbeek, P., Mosseveld, M., Waterworth, D. M., Kendrick, S., Sattar, N., & Alazawi, W.
Affiliations
  • GlaxoSmithKline (United Kingdom) (GB)
  • Pfizer (United States) (US)
  • IQVIA (United Kingdom) (GB)
  • Erasmus MC (NL)
  • GlaxoSmithKline (United States) (US)
  • University of Glasgow (GB)
  • Queen Mary University of London (GB)
Corresponding author
Alazawi, William
Venue
BMC Medicine
Published
2019-05-20
Volume
17
Issue
1
Pages
95-95
ISSN
1741-7015 (ISSN-L)
OpenAlex
W2947312239
Cited by
317
References
30
Citations by year
2026: 19 · 2025: 35 · 2024: 52 · 2023: 74 · 2022: 44 · 2021: 47 · 2020: 40 · 2019: 5 · 2013: 1
FWCI
25.87
Type
journal article
Language
en
Open access
Locations
  • BMC Medicine (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • EUR Research Repository (Erasmus University Rotterdam) (publishedVersion, other-oa)
  • ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (acceptedVersion, cc-by-sa)
  • EUR Research Repository (Erasmus University Rotterdam) (submittedVersion, other-oa)
  • RePub (Erasmus University Rotterdam) (submittedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • University of Birmingham Research Portal (University of Birmingham) (submittedVersion, other-oa)
  • Queen Mary Research Online (Queen Mary University of London) (submittedVersion, cc-by)
Funders
  • Innovative Medicines Initiative (115372)
  • Medical Research Council (MR/N00308X/1)
Topics
  • Health Sciences › Medicine › Epidemiology › Liver Disease Diagnosis and Treatment
  • Health Sciences › Medicine › Hepatology › Liver Diseases and Immunity
  • Health Sciences › Medicine › Pathology and Forensic Medicine › Alcohol Consumption and Health Effects
Keywords
non-alcoholic fatty liver disease, nonalcoholic steatohepatitis, liver cirrhosis, hepatocellular carcinoma, diabetes mellitus, FIB-4, obesity, hypertension, clinical predictors, primary care records
MeSH terms
Adult, Aged, Europe, Female, United Kingdom, Carcinoma, Hepatocellular, Humans, Italy, Liver Cirrhosis, Liver Neoplasms, Male, Middle Aged, Netherlands, Prognosis, Risk Factors, Spain, Cohort Studies, Case-Control Studies, Non-alcoholic Fatty Liver Disease

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review