Evidence map›Paper›PMID 36618395›Full record

ArticleFrontiers in immunology2022

A diagnostic model for predicting type 2 nasal polyps using biomarkers in nasal secretion.

Zaichuan Wang, Qiqi Wang, Su Duan, Yuling Zhang, Limin Zhao, Shujian Zhang, Liusiqi Hao, Yan Li, Xiangdong Wang, Chenshuo Wang and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

6 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Visual and bibliometric analysis of chronic rhinosinusitis and nasal polyps.The journal of allergy and clinical immunology. Global · 2024
    Article
  4. Article
  5. Review
  6. The causal association between peripheral blood eosinophils and nasal polyps: a Mendelian randomization study.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2023
    Article
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

14 authors at 3 institutions in 2 countries.

Zaichuan WangBeijing Key Laboratory of Nasal Disease, Beijing Institute of Otolaryngology, Beijing, China.
Qiqi WangBeijing Key Laboratory of Nasal Disease, Beijing Institute of Otolaryngology, Beijing, China.
Su DuanBeijing Key Laboratory of Nasal Disease, Beijing Institute of Otolaryngology, Beijing, China.
Yuling ZhangBeijing Key Laboratory of Nasal Disease, Beijing Institute of Otolaryngology, Beijing, China.
Limin ZhaoBeijing Key Laboratory of Nasal Disease, Beijing Institute of Otolaryngology, Beijing, China.
Shujian ZhangBeijing Key Laboratory of Nasal Disease, Beijing Institute of Otolaryngology, Beijing, China.
Liusiqi HaoBeijing Key Laboratory of Nasal Disease, Beijing Institute of Otolaryngology, Beijing, China.
Yan LiBeijing Key Laboratory of Nasal Disease, Beijing Institute of Otolaryngology, Beijing, China.
Xiangdong WangBeijing Key Laboratory of Nasal Disease, Beijing Institute of Otolaryngology, Beijing, China.
Chenshuo WangBeijing Key Laboratory of Nasal Disease, Beijing Institute of Otolaryngology, Beijing, China.
Nan ZhangUpper Airways Research Laboratory, Department of Otorhinolaryngology, Ghent University, Ghent, Belgium.
Claus BachertUpper Airways Research Laboratory, Department of Otorhinolaryngology, Ghent University, Ghent, Belgium.
Luo ZhangBeijing Key Laboratory of Nasal Disease, Beijing Institute of Otolaryngology, Beijing, China.
Feng LanBeijing Key Laboratory of Nasal Disease, Beijing Institute of Otolaryngology, Beijing, China.
Beijing Institute of Neurosurgery · CNCapital Medical University · CNGhent University · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Predicting type 2 chronic rhinosinusitis with nasal polyps (CRSwNP) may help for selection of appropriate surgical procedures or pharmacotherapies in advance. However, an accurate non-invasive method for diagnosis of type 2 CRSwNP is presently unavailable. Methods: To optimize the technique for collecting nasal secretion (NasSec), 89 CRSwNP patients were tested using nasal packs made with four types of materials. Further, Th2 Results: Considering the area under receiver operating characteristic curve (AUC) for IL-5 in NasSec, nasal pack in polyvinyl alcohol (PVA) was superior to other materials for NasSec collection. When Th2 Conclusions: Taken together, a decision tree model based on a combination of NasSec biomarkers and clinical features can accurately define type 2 CRSwNP patients and therefore may be of benefit to patients in receiving appropriate therapies in daily clinical practice.

Indexed as

Nasal PolypsRhinitisSinusitisBiomarkersChronic DiseaseHumansInterleukin-5BiomarkersInterleukin-5blood eosinophilschronic rhinosinusitis with nasal polypsdiagnostic modelIL-5nasal secretion

Identifiers

PMID36618395
PMCPMC9811186
OpenAlexW4313465998

What OpenQuestion holds

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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.