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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development and validation of a noninvasive prediction model for nonalcoholic steatohepatitis resolution after lifestyle intervention
|
|---|---|
| Published in |
Hepatology, June 2016
|
| DOI | 10.1002/hep.28484 |
| Pubmed ID | |
| Authors |
Eduardo Vilar-Gomez, Ali Yasells-Garcia, Yadina Martinez-Perez, Luis Calzadilla-Bertot, Ana Torres-Gonzalez, Bienvenido Gra-Oramas, Licet Gonzalez-Fabian, Oscar Villa-Jimenez, Scott L Friedman, Moises Diago, Manuel Romero-Gomez |
| Abstract |
Liver biopsy is the gold standard method to assess nonalcoholic steatohepatitis (NASH) resolution after therapeutic interventions. We developed and validated a simple and noninvasive scoring system to predict NASH resolution without fibrosis worsening after 1 year of lifestyle intervention. This was a prospective cohort study conducted in 261 patients with histologically proven NASH who were treated with lifestyle changes for 52 weeks and underwent a second liver biopsy to confirm NASH resolution. We divided the data into development (140 subjects) and validation (121 individuals) sets. NASH resolution occurred in 28% (derivation group) and 27% (validation group). At the multivariable analysis, weight loss (OR, 2.75; 95% CI, 1.65-4.58; P<0.01), type 2 diabetes (OR, 0.04; 95% CI, 0.005-0.49; P=0.01), normal levels of ALT at the end of intervention (OR, 9.84; 95% CI, 2.21-44.1; P<0.01), age (OR, 0.89; 95% CI, 0.83-0.97; P=0.01) and a nonalcoholic fatty liver activity score (NAS) ≥ 5 (OR, 0.08; 95% CI, 0.01-0.43; P<0.01) were independent predictors of NASH resolution. The area under the ROC curve of the selected model was 0.956 and 0.945 in the derivation and validation cohorts, respectively. Using a score threshold of ≤ 46.15, negative predictive values were 92% in the derivation and validation groups, respectively. By applying a cutoff ≥ 69.72, positive predictive values were 92% and 89% in the derivation and validation groups, respectively. Using both cutoffs, a liver biopsy would have been avoided in 229 (88%) of 261 patients with a correct prediction in 209 (91%) Conclusions: A noninvasive prediction model including weight loss, type 2 diabetes, ALT normalization, age and a NAS ≥ 5 may be useful to identify NASH resolution in patients under lifestyle intervention. This article is protected by copyright. All rights reserved. |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 22% |
| Germany | 2 | 22% |
| Canada | 1 | 11% |
| Portugal | 1 | 11% |
| Philippines | 1 | 11% |
| Unknown | 2 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 67% |
| Scientists | 2 | 22% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 54 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 29% |
| Student > Doctoral Student | 6 | 11% |
| Student > Bachelor | 6 | 11% |
| Other | 5 | 9% |
| Student > Ph. D. Student | 4 | 7% |
| Other | 6 | 11% |
| Unknown | 13 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 39% |
| Biochemistry, Genetics and Molecular Biology | 8 | 14% |
| Nursing and Health Professions | 4 | 7% |
| Engineering | 3 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 14 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 20 July 2017.
All research outputs
#6,443,957
of 25,374,917 outputs
Outputs from Hepatology
#3,186
of 9,093 outputs
Outputs of similar age
#96,869
of 353,658 outputs
Outputs of similar age from Hepatology
#36
of 148 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 9,093 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has gotten more attention than average, scoring higher than 64% 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 353,658 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 148 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.