Evidence map›Paper›PMID 37893103›Full record

ArticleBiomedicines2023

Risk Prediction of Chronic Rhinosinusitis with or without Nasal Polyps in Taiwanese Population Using Polygenic Risk Score for Nasal Polyps.

Rong-San Jiang, I-Chieh Chen, Yi-Ming Chen, Tzu-Hung Hsiao, Yi-Chen Chen

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 36% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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

5 authors at 4 institutions in 1 country.

Rong-San JiangDepartments of Medical Research, Taichung Veterans General Hospital, Taichung 407219, Taiwan.ORCID 0000-0002-8280-6029
I-Chieh ChenDepartments of Medical Research, Taichung Veterans General Hospital, Taichung 407219, Taiwan.ORCID 0000-0002-8345-5304
Yi-Ming ChenDepartments of Medical Research, Taichung Veterans General Hospital, Taichung 407219, Taiwan.ORCID 0000-0001-7593-3065
Tzu-Hung HsiaoDepartments of Medical Research, Taichung Veterans General Hospital, Taichung 407219, Taiwan.
Yi-Chen ChenDepartments of Medical Research, Taichung Veterans General Hospital, Taichung 407219, Taiwan.ORCID 0000-0002-7823-3694
National Yang Ming Chiao Tung University · TWFu Jen Catholic University · TWNational Chung Hsing University · TWTaichung Veterans General Hospital · TW

Funding

Academia Sinica 40-05-GMMAcademia Sinica AS-GC-110-MD02
6 · The paper itself

Abstract

The association between single nucleotide polymorphisms and chronic rhinosinusitis (CRS) has been determined. However, it was not known whether the polygenic risk score (PRS) for nasal polyps (NP) could predict CRS with NP (CRSwNP) or without NP (CRSsNP). The aim of this study was to investigate the association between PRSs for NP and the risk of CRS with or without NP. Data from 535 individuals with CRS and 5350 control subjects in the Taiwan Precision Medicine Initiative project were collected. Four PRSs for NP, including PGS000933, PGS000934, PGS001848, and PGS002060 from UK Biobank, were tested in these participants. They were divided into four groups according to quartiles of PRSs. The logistic regression model was performed to evaluate CRSwNP and CRSsNP risk according to PRSs for NP. The PGS002060 had the highest area under the curve at 0.534 for CRSsNP prediction and at 0.588 for CRSwNP prediction. Compared to subjects in the lowest PRS category, the PGS002060 significantly increased the odds for CRSsNP by 1.48 at the highest quintile (

Indexed as

chronic rhinosinusitisnasal polypspolygenic risk score

Identifiers

PMID37893103
PMCPMC10603974
OpenAlexW4387454177

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.