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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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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)

Mentioned by

blogs
1 blog
twitter
37 tweeters
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1 research highlight platform

Citations

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78 Dimensions

Readers on

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123 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.

Twitter Demographics

The data shown below were collected from the profiles of 37 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 123 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 20%
Other 17 14%
Student > Ph. D. Student 16 13%
Student > Bachelor 14 11%
Student > Master 14 11%
Other 18 15%
Unknown 20 16%
Readers by discipline Count As %
Medicine and Dentistry 44 36%
Biochemistry, Genetics and Molecular Biology 17 14%
Nursing and Health Professions 6 5%
Agricultural and Biological Sciences 6 5%
Engineering 4 3%
Other 18 15%
Unknown 28 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 17 March 2020.
All research outputs
#843,089
of 18,591,081 outputs
Outputs from BMC Medicine
#651
of 2,796 outputs
Outputs of similar age
#22,547
of 288,499 outputs
Outputs of similar age from BMC Medicine
#1
of 1 outputs
Altmetric has tracked 18,591,081 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,796 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.6. This one has done well, scoring higher than 76% 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 288,499 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 92% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them