Evidence map›Paper›PMID 38835139›Full record

ReviewIntestinal research2024

Complex dichotomous links of nonalcoholic fatty liver disease and inflammatory bowel disease: exploring risks, mechanisms, and management modalities.

Kanishk Aggarwal, Bhupinder Singh, Abhishek Goel, Durgesh Kumar Agrawal, Sourav Bansal, Sai Gautham Kanagala, Fnu Anamika, Aachal Gupta, Rohit Jain

Abstract readReview
In one paragraph

Review in Intestinal research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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

9 authors.

Kanishk AggarwalDepartment of Medicine, Dayanand Medical College, Ludhiana, India.
Bhupinder SinghDepartment of Medicine, Government Medical College Amritsar, Amritsar, India.
Abhishek GoelDepartment of Medicine, Cape Fear Valley Medical Center, Fayetteville, NC, USA.
Durgesh Kumar AgrawalDepartment of Medicine, Nazareth Hospital, Philadelphia, PA, USA.
Sourav BansalDepartment of Medicine, Government Medical College Amritsar, Amritsar, India.
Sai Gautham KanagalaDepartment of Medicine, Metropolitan Hospital Center, New York, NY, USA.
Fnu AnamikaDepartment of Medicine, University College of Medical Sciences, New Delhi, India.
Aachal GuptaAmity Regional High School, Woodbridge, CT, USA.
Rohit JainDepartment of Medicine, Penn State Milton S. Hershey Medical Center, Hershey, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nonalcoholic fatty liver disease (NAFLD) has been shown to be linked to inflammatory bowel disease (IBD) due to established risk factors such as obesity, age, and type 2 diabetes in numerous studies. However, alternative research suggests that factors related to IBD, such as disease activity, duration, and drug-induced toxicity, can contribute to NAFLD. Recent research findings suggest IBD relapses are correlated with dysbiosis, mucosal damage, and an increase in cytokines. In contrast, remission periods are characterized by reduced metabolic risk factors. There is a dichotomy evident in the associations between NAFLD and IBD during relapses and remissions. This warrants a nuanced understanding of the diverse influences on disease manifestation and progression. It is possible to provide a holistic approach to care for patients with IBD by emphasizing the interdependence between metabolic and inflammatory disorders.

Indexed as

Crohn diseaseInflammatory bowel diseaseNon-alcoholic fatty liver diseaseUlcerative colitis

Identifiers

PMID38835139
PMCPMC11534450

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.