Evidence map›Paper›PMID 42230296›Full record

ReviewClinical and translational allergy2026

Programmed Cell Death in Chronic Rhinosinusitis.

Xingchen Liu, Junying Hu, Weigang Gan, Qi Wu, Bing Zhong, Feng Liu

Abstract readReview
In one paragraph

Review in Clinical and translational allergy, 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

6 authors.

Xingchen LiuDepartment of Otolaryngology Head and Neck Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China.
Junying HuDepartment of Otolaryngology Head and Neck Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China.
Weigang GanDepartment of Otolaryngology Head and Neck Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China.
Qi WuDepartment of Otolaryngology Head and Neck Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China.
Bing ZhongDepartment of Otolaryngology Head and Neck Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China.
Feng LiuDepartment of Otolaryngology Head and Neck Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China.

Funding

National Natural Science Foundation of China 82401328West China Hospital 141110062
6 · The paper itself

Abstract

Chronic rhinosinusitis (CRS) is a prevalent upper respiratory condition characterized by a multifaceted etiology involving various cellular and molecular processes. In recent years, researchers have increasingly recognized the significance of different forms of programmed cell death (PCD), such as apoptosis and pyroptosis, in the pathological mechanisms underlying CRS. Studies suggest that these PCD pathways not only influence the disease's progression but may also serve as novel therapeutic targets. Thus, gaining a thorough understanding of how PCD contributes to CRS is crucial for elucidating its pathogenesis and developing new treatment strategies. This article aims to investigate the mechanisms of PCD in CRS, examining its effects on disease progression and potential implications for treatment. We will begin by discussing the background of CRS and its underlying processes, followed by an exploration of the roles played by various types of PCD in CRS, and conclude with a discussion on future research directions and their practical applications.

Indexed as

apoptosischronic rhinosinusitisnecroptosisprogrammed cell deathpyroptosis

Identifiers

PMID42230296
PMCPMC13240362

What OpenQuestion holds

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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.