SynthesisEuropean 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 Surgery2024
The percentage of controlled chronic rhinosinusitis after treatment: a systematic review and meta-analysis.
Synthesis in 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, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed, 4 citations in OpenAlex.
- Impact of FESS on symptomatology and quality of life of patients with CRSsNP.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 · 2025Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
purposeChronic rhinosinusitis (CRS) is a chronic disease with a high recurrence rate, and the aim of treating CRS is to maintain disease control. Recently, a series of CRS control instruments have been developed to assess the control levels. We pooled existing studies to evaluate the percentage of controlled CRS after treatment in patients with CRS.
methodsA systematic literature review and meta-analysis using PubMed, Google Scholar, Scopus, and Cochrane databases was conducted to identify studies assessing CRS control. Both comprehensive assessments and self-report of CRS control were included.
results9 studies with 1931 patients after treatment and 295 patients before treatment were included. CRS control assessments of the 2012 European Position Paper on Rhinosinusitis and Nasal Polyps (EPOS 2012), EPOS 2020, and Sinus Control Test (SCT) were comprehensive assessments utilized in the clinic practice. The self-report assessment included patient-reported global level of CRS control. These existing disease control instruments categorized patients into three (uncontrolled, partly controlled, and controlled) or five (not at all, a little, somewhat, very, and completely) control categories. Only 8% (95% CI 0.05-0.11) of patients with CRS stayed well controlled before treatment assessed by comprehensive assessments. About 35% (95% CI 0.22-0.49) of patients achieved well controlled after treatment when assessed by the comprehensive measures. Meanwhile, 40% (95% CI 0.28-0.52) of patients reported well controlled after treatment when using self-report.
conclusionAbout 35-40% of patients with CRS showed well controlled after treatment, which stressed the importance of identifying these undertreated patients with CRS.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.