Evidence map›Paper›PMID 42668843›Full record

ArticleCaspian journal of internal medicine2026

Potential impact of two functional variants in the

Amirali Pourebrahimi, Mozhdeh Saghaei, Naeim Ehtesham, Huriyeh Hashemi, Seyed Amirhosein Mazhari, Hamidreza Karbalaei-Musa, Mohammad Javad Broujerdi, Meysam Mosallaei

Abstract read
In one paragraph

Article in Caspian journal of internal medicine, 2026. 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

8 authors.

Amirali PourebrahimiOtorhinolaryngology Research Center, Amiralam Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Mozhdeh SaghaeiDepartment of Internal Medicine, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Naeim EhteshamAriyogene Medical Genetics Laboratory, Yasuj, Iran.
Huriyeh HashemiDepartment of Internal Medicine, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Seyed Amirhosein MazhariStudent Research Committee, Azerbaijan Medical University, Baku, Azerbaijan.
Hamidreza Karbalaei-MusaDepartment of Internal Medicine, School of Medicine, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad Javad BroujerdiPersonalized Medicine and Genometabolomics Research Center, Hope Generation Foundation, Tehran, Iran.
Meysam MosallaeiPersonalized Medicine and Genometabolomics Research Center, Hope Generation Foundation, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Granulomatosis with polyangiitis (GPA) is an autoimmune disorder that results from an interplay of genetic factors and environmental influences. We investigated the association between two polymorphisms in the Methods: A case-control study involving 224 participants was conducted, comprising 104 individuals diagnosed with GPA and 120 control subjects. The high-resolution melting (HRM) technique was employed for genotyping these polymorphisms. Results: The findings revealed a significant difference in the distribution of the CC genotype and C allele for rs2010963 between the control and case groups (CC vs GG; OR: 2.687; 95% CI [1.185-6.264], Conclusion: The C allele of rs2010963 is linked to an increased risk of developing GPA and certain laboratory and clinical parameters, while the rs833061 polymorphism does not appear to be associated with GPA risk but is correlated with various laboratory and clinical indices.

Indexed as

GenotypeGranulomatosis with polyangiitisPolymorphismVEGF gene

Identifiers

PMID42668843
PMCPMC13525830

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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.