Evidence map›Paper›PMID 42382366›Full record

ArticleFrontiers in surgery2026

Impact of meal frequency on gastroesophageal reflux disease following laparoscopic sleeve gastrectomy.

Abdullah Almunifi, Muqrin A Almuqrin, Ali Q Al Qahtani, Abdullah Albarrak, Shiela Sadili-Fajardo, Abdulaziz A AlMulhem, Eyad Wohaibi, Mohammad A Al Mofarreh

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Article in Frontiers in surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

8 authors.

Abdullah AlmunifiDepartment of Surgery, College of Medicine, Majmaah University, Al-Majmaah, Saudi Arabia.
Muqrin A AlmuqrinDepartment of Mathematics, College of Sciences, Majmaah University, Al-Majmaah, Saudi Arabia.
Ali Q Al QahtaniDepartment of Gastroenterology, Al-Mofarreh Polyclinic, Riyadh, Saudi Arabia.
Abdullah AlbarrakDepartment of Surgery, College of Medicine, Majmaah University, Al-Majmaah, Saudi Arabia.
Shiela Sadili-FajardoDepartment of Gastroenterology, Al-Mofarreh Polyclinic, Riyadh, Saudi Arabia.
Abdulaziz A AlMulhemDepartment of Surgery, College of Medicine, Shaqra University, Shaqra, Saudi Arabia.
Eyad WohaibiDepartment of Surgery, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
Mohammad A Al MofarrehDepartment of Gastroenterology, Al-Mofarreh Polyclinic, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Saudi Arabia has a high obesity rate (> 35%), increasing the risk of gastroesophageal reflux disease (GERD) and presents major health risks. Laparoscopic sleeve gastrectomy (LSG) is an effective bariatric surgery that reduces mortality. Controversies exist regarding the recommended meal frequency following bariatric surgery, as some patients experience increased GERD symptoms postoperatively. In this study, we describe the association between meal frequency and GERD at least one year after LSG. Methods: We conducted a retrospective cohort study based on data collected from electronic medical records over a six-year period (2016-2022) at a private gastroenterology clinic in the Kingdom of Saudi Arabia. Clinical, endoscopic, and radiological examinations of the upper gastrointestinal tract were reviewed as indicated. Paired-sample t-tests and two-way analyses of variance (ANOVA) were performed. Results: The study included 109 participants (62 women, 47 men) aged 17-66 years, mostly Saudi Arabian. All patients lost weight, with Body mass index (BMI) decreasing from 46.37 to 31.24 kg/m Conclusions: Large daily meals, with few frequent meals that meet daily caloric requirements, did not show statistically significant association with reflux oesophagitis (RO).

Indexed as

bariatric surgerygastroesophageal reflux diseaselaparoscopic sleeve gastrectomymeal frequencySaudi arabia

Identifiers

PMID42382366
PMCPMC13315175

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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.