Evidence map›Paper›PMID 37959296›Full record

ReviewJournal of clinical medicine2023

Intranasal Synechiae as Complications of Rhinosurgical Treatment-A Review of Current Knowledge.

Mateusz J Stępiński, Jacek Banaszewski

Open access · goldAbstract readReview
In one paragraph

Review in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. 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

2 authors at 1 institution in 1 country.

Mateusz J StępińskiDepartment of Laryngology with Maxillofacial Surgery Subdepartment, Multidisciplinary Regional Hospital, Dekerta 1, 66-400 Gorzow Wielkopolski, Poland.ORCID 0009-0008-7380-6589
Jacek BanaszewskiDepartment of Otolaryngology and Laryngological Oncology, Poznan University of Medical Sciences, Przybyszewskiego 49, 60-355 Poznan, Poland.
Poznan University of Medical Sciences · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intranasal adhesions (synechiae) develop as a result of improper healing of the nasal mucosa. Their incidence ranges from 6.8% to 36% of rhinosurgical procedures. The aim of this study was to review the available publications and monographs dealing with intranasal adhesions-both in the context of formation and risk factors. The study used a review of the literature to determine the articles and studies available in the following medical databases: MEDLINE (National Library of Medicine's), PubMed, and Google Scholar. The following search terms were used: synechiae nasal + synechial nasal + intranasal adhesions + nasal adhesions. The time criterion of available materials was not applied. Available filters in the search engines were used to narrow down the search results. Artificial intelligence was not applied. The review indicated that the risk of intranasal adhesions correlates with the type of surgery, the surgical technique, the dressing materials, and wound care in the postoperative period. Every case requires an individualized approach. Nasal septum separators, (self-)dissolving dressings and (in selected cases) Mitomycin C were investigated thoroughly. Further studies are required which may result in a universal classification system for intranasal adhesions.

Indexed as

complicationFESSfunctional endoscopic sinus surgerynasal adhesionsnasal mucosarhinosurgical treatmentseptoplastysynechiasystematic review

Identifiers

PMID37959296
PMCPMC10648208
OpenAlexW4388160416

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.