Evidence map›Paper›PMID 40994800›Full record

ArticleMiddle East journal of digestive diseases2025

Investigating the Role of sHLA-G in Immunopathogenesis and Predicting Gastroesophageal Reflux Disease.

Wafaa Hazim Salih, Huda Saleem Hantoosh Hameed Al-Khalidy, Batool Mutar Mahdi, Laith Hikmet Muhsun

Abstract read
In one paragraph

Article in Middle East journal of digestive diseases, 2025. 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

4 authors.

Wafaa Hazim SalihDepartment of Microbiology, Al-Kindy College of Medicine, University of Baghdad, Baghdad, Iraq.ORCID https://orcid.org/0000-0002-9065-6788
Huda Saleem Hantoosh Hameed Al-KhalidyDepartment of Biochemistry, Al-Kindy College of Medicine, University of Baghdad, Baghdad, Iraq.ORCID https://orcid.org/0000-0001-5330-9835
Batool Mutar MahdiHLA Research Unit, Al-Kindy College of Medicine, University of Baghdad, Baghdad, Iraq.ORCID https://orcid.org/0000-0001-6637-8936
Laith Hikmet MuhsunAl-kindy Teaching Hospital, Baghdad, Iraq.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gastroesophageal reflux disease (GERD) is a chronic gastrointestinal disease in which the patients may be asymptomatic or complain of heartburn and regurgitation or pulmonary symptoms. Aim of the study: Examine the serum level of soluble HLA-G (sHLA-G) in patients with GERD, which can be used as a biomarker for early detection of GERD. Methods: The study was a case-control prospective study that enrolled 40 patients who consulted the Gastroenterology Unit-Al-Kindy Teaching Hospital and were diagnosed with GERD by their physician. They were compared with 40 control healthy individuals from January 2023 to May 2024. Serum samples were used for quantitative assessment of sHLA-G using a sandwich enzyme-linked immunosorbent assay. Results: A higher proportion of females were observed in the GERD group compared with the control group (72.5% vs. 42.6%). This difference was statistically significant ( Conclusion: The present study provides early evidence for an association between elevated sHLA-G levels and GERD with limited diagnostic value. It revealed a significant negative correlation between sHLA-G levels and sex. Further studies are needed to elucidate the mechanisms underlying this relationship and explore the potential of sHLA-G as a diagnostic or therapeutic target for GERD.

Indexed as

EsophagusGERDsHLA-G

Identifiers

PMID40994800
PMCPMC12456158

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.