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Real-world data reveal a diagnostic gap in non-alcoholic fatty liver disease

Overview of attention for article published in BMC Medicine, August 2018
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

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1 blog
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1 policy source
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Citations

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188 Dimensions

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194 Mendeley
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Title
Real-world data reveal a diagnostic gap in non-alcoholic fatty liver disease
Published in
BMC Medicine, August 2018
DOI 10.1186/s12916-018-1103-x
Pubmed ID
Authors

Myriam Alexander, A. Katrina Loomis, Jolyon Fairburn-Beech, Johan van der Lei, Talita Duarte-Salles, Daniel Prieto-Alhambra, David Ansell, Alessandro Pasqua, Francesco Lapi, Peter Rijnbeek, Mees Mosseveld, Paul Avillach, Peter Egger, Stuart Kendrick, Dawn M. Waterworth, Naveed Sattar, William Alazawi

Abstract

Non-alcoholic fatty liver disease (NAFLD) is the most common cause of liver disease worldwide. It affects an estimated 20% of the general population, based on cohort studies of varying size and heterogeneous selection. However, the prevalence and incidence of recorded NAFLD diagnoses in unselected real-world health-care records is unknown. We harmonised health records from four major European territories and assessed age- and sex-specific point prevalence and incidence of NAFLD over the past decade. Data were extracted from The Health Improvement Network (UK), Health Search Database (Italy), Information System for Research in Primary Care (Spain) and Integrated Primary Care Information (Netherlands). Each database uses a different coding system. Prevalence and incidence estimates were pooled across databases by random-effects meta-analysis after a log-transformation. Data were available for 17,669,973 adults, of which 176,114 had a recorded diagnosis of NAFLD. Pooled prevalence trebled from 0.60% in 2007 (95% confidence interval: 0.41-0.79) to 1.85% (0.91-2.79) in 2014. Incidence doubled from 1.32 (0.83-1.82) to 2.35 (1.29-3.40) per 1000 person-years. The FIB-4 non-invasive estimate of liver fibrosis could be calculated in 40.6% of patients, of whom 29.6-35.7% had indeterminate or high-risk scores. In the largest primary-care record study of its kind to date, rates of recorded NAFLD are much lower than expected suggesting under-diagnosis and under-recording. Despite this, we have identified rising incidence and prevalence of the diagnosis. Improved recognition of NAFLD may identify people who will benefit from risk factor modification or emerging therapies to prevent progression to cardiometabolic and hepatic complications.

X Demographics

X Demographics

The data shown below were collected from the profiles of 56 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 194 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 16%
Student > Ph. D. Student 26 13%
Other 20 10%
Student > Bachelor 19 10%
Student > Master 15 8%
Other 25 13%
Unknown 57 29%
Readers by discipline Count As %
Medicine and Dentistry 61 31%
Biochemistry, Genetics and Molecular Biology 23 12%
Nursing and Health Professions 8 4%
Agricultural and Biological Sciences 6 3%
Engineering 5 3%
Other 23 12%
Unknown 68 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 53. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 May 2023.
All research outputs
#818,721
of 26,017,215 outputs
Outputs from BMC Medicine
#577
of 4,076 outputs
Outputs of similar age
#17,170
of 345,116 outputs
Outputs of similar age from BMC Medicine
#12
of 68 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,076 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 46.0. This one has done well, scoring higher than 85% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 345,116 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.