Evidence map›Paper›PMID 37491901›Full record

SynthesisAmerican journal of rhinology & allergy2023

Systematic Review of Protein Biomarkers in Adult Patients With Chronic Rhinosinusitis.

Shyam A Gokani, Andreas Espehana, Ana C Pratas, Louis Luke, Ekta Sharma, Jennifer Mattock, Jelena Gavrilovic, Allan Clark, Tom Wileman, Carl M Philpott

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in American journal of rhinology & allergy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Histopathological parameters and immunoexpression of CD45RO (CLA) and CD68 in chronic rhinosinusitis with nasal polyps.Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie
    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

10 authors at 3 institutions in 1 country.

Shyam A GokaniNorwich Medical School, University of East Anglia, Norwich, UK.ORCID 0000-0003-4320-0961
Andreas EspehanaNorwich Medical School, University of East Anglia, Norwich, UK.
Ana C PratasNorwich Medical School, University of East Anglia, Norwich, UK.
Louis LukeJames Paget University Hospital, Gorleston, UK.
Ekta SharmaUniversity College London Hospital, London, UK.
Jennifer MattockNorwich Medical School, University of East Anglia, Norwich, UK.
Jelena GavrilovicSchool of Biological Sciences, University of East Anglia, Norwich, UK.
Allan ClarkNorwich Medical School, University of East Anglia, Norwich, UK.
Tom WilemanNorwich Medical School, University of East Anglia, Norwich, UK.
Carl M PhilpottNorwich Medical School, University of East Anglia, Norwich, UK.ORCID 0000-0002-1125-3236
University of East Anglia · GBJames Paget University Hospital · GBUniversity College Hospital · GB

Funding

Biotechnology and Biological Sciences Research Council BBS/E/F/000PR10353
6 · The paper itself

Abstract

backgroundChronic rhinosinusitis (CRS) is a heterogeneous condition characterized by differing inflammatory endotypes. The identification of suitable biomarkers could enable personalized approaches to treatment selection.

objectiveThis study aimed to identify and summarize clinical studies of biomarkers in adults with CRS in order to inform future research into CRS endotypes.

methodsWe conducted systematic searches of MEDLINE and Web of Science from inception to January 30, 2022 and included all clinical studies of adult CRS patients and healthy controls measuring biomarkers using enzyme-linked immunosorbent assays or Luminex immunoassays. Outcomes included the name and tissue type of identified biomarkers and expression patterns within CRS phenotypes. Study quality was assessed using the National Institutes of Health quality assessment tool for observational cohort and cross-sectional studies. A narrative synthesis was performed.

resultsWe identified 78 relevant studies involving up to 9394 patients, predominantly with CRS with nasal polyposis. Studies identified 80 biomarkers from nasal tissue, 25 from nasal secretions, 14 from nasal lavage fluid, 24 from serum, and one from urine. The majority of biomarkers found to distinguish CRS phenotypes were identified in nasal tissue, especially in nasal polyps. Serum biomarkers were more commonly found to differentiate CRS from controls. The most frequently measured biomarker was IL-5, followed by IL-13 and IL-4. Serum IgE, IL-17, pentraxin-3 and nasal phospho-janus kinase 2, IL-5, IL-6, IL-17A, granulocyte-colony stimulating factor, and interferon gamma were identified as correlated with disease severity.

conclusionWe have identified numerous potential biomarkers to differentiate a range of CRS phenotypes. Future studies should focus on the prognostic role of nasal tissue biomarkers or expand on the more limited studies of nasal secretions and nasal lavage fluid.We registered this study in PROSPERO (CRD42022302787).

Indexed as

Nasal PolypsRhinitisSinusitisAdultBiomarkersChronic DiseaseCross-Sectional StudiesHumansInterleukin-5BiomarkersInterleukin-5biomarkerschronic rhinosinusitisCRSsNPCRSwNPcytokinesECRSendotypesinterleukinnasal polypsphenotypes

Identifiers

PMID37491901
PMCPMC10548774
OpenAlexW4385264821

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.