Evidence map›Paper›PMID 33122743›Full record

ArticleScientific reports2020

Chronic rhinosinusitis and premorbid autoimmune diseases: a population-based case-control study.

Liang-Chun Shih, Hua-Hsin Hsieh, Gregory J Tsay, Ivan T Lee, Yung-An Tsou, Cheng-Li Lin, Te-Chun Shen, Da-Tian Bau, Chih-Jaan Tai, Chia-Der Lin and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  4. Review
  5. Article
  6. Article
  7. Current Review of Comorbidities in Chronic Rhinosinusitis.Current allergy and asthma reports · 2024
    Review
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  9. Article
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  11. Article
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  13. CXCR5Frontiers in immunology · 2024
    Article
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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

11 authors at 3 institutions in 2 countries.

Liang-Chun ShihDepartment of Otorhinolaryngology, China Medical University Hospital, Taichung, 40447, Taiwan.
Hua-Hsin HsiehDepartment of Otorhinolaryngology, China Medical University Hospital, Taichung, 40447, Taiwan.
Gregory J TsayDivision of Immunology and Rheumatology, Department of Internal Medicine, China Medical University Hospital, Taichung, 40447, Taiwan.
Ivan T LeeDivision of Allergy, Immunology, and Rheumatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Yung-An TsouDepartment of Otorhinolaryngology, China Medical University Hospital, Taichung, 40447, Taiwan.
Cheng-Li LinManagement Office for Health Data, China Medical University Hospital, Taichung, 40447, Taiwan.
Te-Chun ShenTerry Fox Cancer Research Laboratory, Department of Medical Research, China Medical University Hospital, Taichung, 40447, Taiwan. chestshen@gmail.com.
Da-Tian BauGraduate Institute of Biomedical Sciences, China Medical University, Taichung, 40447, Taiwan.
Chih-Jaan TaiDepartment of Otorhinolaryngology, China Medical University Hospital, Taichung, 40447, Taiwan.
Chia-Der LinDepartment of Otorhinolaryngology, China Medical University Hospital, Taichung, 40447, Taiwan.
Ming-Hsui TsaiDepartment of Otorhinolaryngology, China Medical University Hospital, Taichung, 40447, Taiwan.
China Medical University · TWChina Medical University Hospital · TWStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evidence shows that chronic rhinosinusitis (CRS) is associated with prior presence of autoimmune diseases; however, large-scale population-based studies in the literature are limited. We conducted a population-based case-control study investigating the association between CRS and premorbid autoimmune diseases by using the National Health Insurance Research Database in Taiwan. The CRS group included adult patients newly diagnosed with CRS between 2001 and 2013. The date of diagnosis was defined as the index date. The comparison group included individuals without CRS, with 1:4 frequency matching for gender, age, and index year. Premorbid diseases were forward traced to 1996. Univariate and multivariate logistic regression was performed to estimate odds ratios (ORs) and 95% confidence intervals. The CRS group consisted of 30,611 patients, and the comparison group consisted of 122,444 individuals. Patients with CRS had a higher significant association with premorbid autoimmune diseases (adjusted OR 1.39 [1.28-1.50]). Specifically, patients with CRS had a higher significant association with ankylosing spondylitis, polymyositis, psoriasis, rheumatoid arthritis, sicca syndrome, and systemic lupus erythematosus (adjusted OR 1.49 [1.34-1.67], 3.47 [1.12-10.8], 1.22 [1.04-1.43], 1.60 [1.31-1.96], 2.10 [1.63-2.72], and 1.69 [1.26-2.25]). In subgroup analysis, CRS with and without nasal polyps demonstrated a significant association with premorbid autoimmune diseases (adjusted OR 1.34 [1.14-1.58] and 1.50 [1.38-1.62]). In addition, CRS with fungal and non-fungal infections also demonstrated a significant association with premorbid autoimmune diseases (adjusted OR 2.02 [1.72-2.49] and 1.39 [1.28-1.51]). In conclusion, a significant association between CRS and premorbid autoimmune diseases has been identified. These underlying mechanisms need further investigation.

Indexed as

Population SurveillanceAdultAutoimmune DiseasesCase-Control StudiesChronic DiseaseFemaleHumansMaleMiddle AgedRetrospective StudiesSinusitisYoung Adult

Identifiers

PMID33122743
PMCPMC7596473
OpenAlexW3096821988

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.