Evidence map›Paper›PMID 40718325›Full record

ArticleCureus2025

MUC5B Polymorphism and Susceptibility to Idiopathic Pulmonary Fibrosis in Morocco.

Lamiyae Senhaji, Meriame Abbassi, Nadia Senhaji, Soumaya Benmaamar, Lamyae Dani, Karima El Rhazi, Meryem Karhate, Mounia Serraj, Mohamed El Biaze, Mohammed Chakib Benjelloun and 3 more

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Article in Cureus, 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

13 authors.

Lamiyae SenhajiDepartment of Pulmonology, Hassan II University Hospital Center, Fez, MAR.
Meriame AbbassiBiomedical and Translational Research Laboratory, Faculty of Medicine, Pharmacy, and Dental Medicine, Sidi Mohamed Ben Abdellah University, Fez, MAR.
Nadia SenhajiDepartment of Biology, Faculty of Sciences, Moulay Ismail University, Meknes, MAR.
Soumaya BenmaamarDepartment of Epidemiology and Public Health, Sidi Mohammed Ben Abdellah University, Fez, MAR.
Lamyae DaniDepartment of Medical Genetics and Oncogenetics, Hassan II University Hospital Center, Fez, MAR.
Karima El RhaziEpidemiology and Research in Health Science Laboratory, Faculty of Medicine, Pharmacy, and Dental Medicine, Sidi Mohamed Ben Abdellah University, Fez, MAR.
Meryem KarhateDepartment of Pulmonology, Hassan II University Hospital Center, Fez, MAR.
Mounia SerrajDepartment of Pulmonology, Hassan II University Hospital Center, Fez, MAR.
Mohamed El BiazeDepartment of Pulmonology, Hassan II University Hospital Center, Fez, MAR.
Mohammed Chakib BenjellounDepartment of Pulmonology, Hassan II University Hospital Center, Fez, MAR.
Karim OuldimDepartment of Medical Genetics and Oncogenetics, Hassan II University Hospital Center, Fez, MAR.
Laila BouguenouchBiomedical and Translational Research Laboratory, Faculty of Medicine, Pharmacy, and Dental Medicine, Sidi Mohamed Ben Abdellah University, Fez, MAR.
Bouchra AmaraDepartment of Pulmonology, Hassan II University Hospital Center, Fez, MAR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdiopathic pulmonary fibrosis (IPF) is a chronic, progressive interstitial lung disease of unknown etiology. It has been demonstrated in European, American, and Asian populations that genetic factors, particularly the MUC5B rs35705950 SNP, represent a significant risk factor for the development of this disease. To date, no studies have been performed within African populations, thereby necessitating the execution of the present investigation. Methods

Indexed as

africageneticsidiopathic pulmonary fibrosismoroccomuc5b

Identifiers

PMID40718325
PMCPMC12296943

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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.