Evidence map›Paper›PMID 39330446›Full record

ArticleJournal of imaging2024

Morphological Changes of the Pituitary Gland in Patients with Irritable Bowel Syndrome Using Magnetic Resonance Imaging.

Jessica Abou Chaaya, Jennifer Abou Chaaya, Batoul Jaafar, Lea Saab, Jad Abou Chaaya, Elie Al Ahmar, Elias Estephan

Abstract read
In one paragraph

Article in Journal of imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Jessica Abou ChaayaNeuroscience Research Center, Faculty of Medical Sciences, Lebanese University, Beirut, Lebanon.
Jennifer Abou ChaayaDepartment of Nutrition and Dietetics, Faculty of Public Health Section 2, Lebanese University, Beirut, Lebanon.
Batoul JaafarDivision of Endocrinology and Metabolism, Department of Internal Medicine, American University of Beirut Medical Center, Beirut, Lebanon.ORCID 0000-0002-9949-6741
Lea SaabFaculty of Engineering, Sagesse University, Furn El Chebbak, Baabda, Lebanon.
Jad Abou ChaayaLab-STICC, UMR 6285 CNRS, ENIB, 29200 Brest, France.
Elie Al AhmarFaculty of Engineering, Sagesse University, Furn El Chebbak, Baabda, Lebanon.
Elias EstephanNeuroscience Research Center, Faculty of Medical Sciences, Lebanese University, Beirut, Lebanon.ORCID 0000-0001-8830-556X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Irritable bowel syndrome (IBS) is a gastrointestinal functional disorder characterized by unclear underlying mechanisms. Several theories propose that hyperactivation of the hypothalamic-pituitary-adrenal (HPA) axis leads to elevated cortisol levels and increased sensitivity of gut wall receptors. Given the absence of prior literature on this topic, our study aimed to investigate the potential for diagnosing IBS based on morphological changes in the pituitary gland, specifically its volume and grayscale intensity. Additionally, we aimed to assess whether factors such as gender, age, and body mass index influence these parameters. This retrospective study involved 60 patients, examining the volume and grayscale characteristics of their pituitary glands in the presence of IBS. Our findings revealed a positive correlation between pituitary gland volume and IBS diagnosis, although no significant correlation was observed with grayscale intensity. Due to the limited existing research and the small sample size of our study, further investigation with a larger cohort is warranted to validate these results.

Indexed as

diagnosisgastrointestinal tractirritable bowel syndromepituitaryvolume calculation

Identifiers

PMID39330446
PMCPMC11433444

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Registered trials

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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.