Evidence map›Paper›PMID 29367619›Full record

ArticleCell death & disease2018

Non-alcoholic fatty liver disease phenotypes in patients with inflammatory bowel disease.

Alessandro Sartini, Stefano Gitto, Marcello Bianchini, Maria Chiara Verga, Maria Di Girolamo, Angela Bertani, Mariagrazia Del Buono, Filippo Schepis, Barbara Lei, Nicola De Maria and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cell death & disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 4 pooled it
7.3field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

51 citing papers in PubMed, 4 syntheses or guidelines pooled it, 96 citations in OpenAlex.

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  13. International journal of molecular sciences · 2025
    Article
  14. Spatial mapping of dextran sodium sulphate-induced intestinal inflammation and its systemic effects.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 1 institution in 1 country.

Alessandro SartiniDepartment of Internal Medicine, Gastroenterology Unit, University of Modena and Reggio Emilia, Modena, Italy.
Stefano GittoDepartment of Internal Medicine, Gastroenterology Unit, University of Modena and Reggio Emilia, Modena, Italy.
Marcello BianchiniDepartment of Internal Medicine, Gastroenterology Unit, University of Modena and Reggio Emilia, Modena, Italy.
Maria Chiara VergaDepartment of Internal Medicine, Gastroenterology Unit, University of Modena and Reggio Emilia, Modena, Italy.
Maria Di GirolamoDepartment of Internal Medicine, Gastroenterology Unit, University of Modena and Reggio Emilia, Modena, Italy.
Angela BertaniDepartment of Internal Medicine, Gastroenterology Unit, University of Modena and Reggio Emilia, Modena, Italy.
Mariagrazia Del BuonoDepartment of Internal Medicine, Gastroenterology Unit, University of Modena and Reggio Emilia, Modena, Italy.
Filippo SchepisDepartment of Internal Medicine, Gastroenterology Unit, University of Modena and Reggio Emilia, Modena, Italy.
Barbara LeiDepartment of Internal Medicine, Gastroenterology Unit, University of Modena and Reggio Emilia, Modena, Italy.
Nicola De MariaDepartment of Internal Medicine, Gastroenterology Unit, University of Modena and Reggio Emilia, Modena, Italy.
Erica VillaDepartment of Internal Medicine, Gastroenterology Unit, University of Modena and Reggio Emilia, Modena, Italy. erica.villa@unimore.it.ORCID 0000-0001-6388-7022
University of Modena and Reggio Emilia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-alcoholic fatty liver disease (NAFLD) can be detected in up to 33.6% of inflammatory bowel disease (IBD) patients, often in absence of metabolic risk factors. Nevertheless, most of previous studies on such issue were conducted within the IBD population only. The primary aim of this study was to compare clinical and metabolic features of NAFLD in patients with and without IBD (w/o IBD) and to identify specific NAFLD phenotypes within the IBD population. Among 223 NAFLD patients, 78 patients with IBD were younger compared to 145 without (w/o) IBD, were less likely to have altered liver enzymes, had lower mean body weight, smaller waist circumference and lower body mass index (BMI); at the same time, MetS was more prevalent among patients w/o IBD (56.6 vs. 23.1%, p < 0.001). Within IBD population, patients with severe IBD showed more often severe steatosis (S3) at ultrasound (US) (32.1 vs. 16.6%, p = 0.01), compared to mild-to-moderate disease. Independent risk factors for S3 US steatosis in IBD patients at the multivariate logistic regression analysis were: more than 1 IBD relapse per year during disease history (OR 17.3, 95% CI 3.6-84), surgery for IBD (OR 15.1, 95% CI 3.1-73.7) and more extensive intestinal involvement (OR 19.4, 95% CI 3.4-110.9); the ongoing anti-Tumor Necrosis Factor alpha (antiTNFα) therapy was the only independent factor which protect toward the presence of altered liver enzymes (OR 0.15, 95% CI 0-0.8, p = 0.02). In conclusion, NAFLD in IBD patients is different from that in patients w/o IBD, who seem to develop different NAFLD phenotypes according to intestinal disease clinical course. More severe IBD seem to predict the presence of more severe steatosis. Therapy with antiTNFα antibodies could prevent alteration of liver enzymes in such population.

Indexed as

AdultFemaleHumansInflammatory Bowel DiseasesLiverMaleNon-alcoholic Fatty Liver DiseasePhenotypeRisk Factors

Identifiers

PMID29367619
PMCPMC5833704
OpenAlexW2791690656

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.