Evidence map›Paper›PMID 36839254›Full record

ReviewNutrients2023

What Should I Eat? Dietary Recommendations for Patients with Inflammatory Bowel Disease.

Srishti Saha, Neha Patel

Open access · goldAbstract readReview
In one paragraph

Review in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
5.0field-weighted citation impact, top 5% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Srishti SahaDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Neha PatelDivision of Digestive and Liver Diseases, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
The University of Texas Southwestern Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflammatory bowel disease (IBD) is a chronic disorder thought to be caused by enteric inflammation in a genetically susceptible host. Although the pathogenesis of IBD is largely unknown, it is widely accepted that dietary components play an important role. Human and animal-based studies have explored the role of various dietary components such as meat, artificial sweeteners and food additives in causing enteric inflammation. Several diets have also been studied in patients with IBD, specifically their role in the induction or maintenance of remission. The most well-studied of these include exclusive enteral nutrition and specific carbohydrate diet. A diet low in FODMAPs (fermentable oligosaccharides, disaccharides, monosaccharides and polyols), typically prescribed for patients with irritable bowel syndrome, has also been studied in a specific subgroup of patients with IBD. In this review, we describe the current evidence on how various dietary components can induce enteric and colonic inflammation, and the clinical-epidemiological evidence exploring their role in predisposing to or protecting against the development of IBD. We also discuss several special diets and how they affect clinical outcomes in IBD patients. Based on the available evidence, we provide guidance for patients and clinicians managing IBD regarding the best practice in dietary modifications.

Indexed as

Inflammatory Bowel DiseasesAnimalsDietDisaccharidesHumansInflammationMonosaccharidesOligosaccharidesDisaccharidesMonosaccharidesOligosaccharidesadditivecolitisCrohn’s diseasediarrheadietinflammatory bowel diseasemicronutrientnutritionulcerative colitis

Identifiers

PMID36839254
PMCPMC9966256
OpenAlexW4319924986

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.