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Record W2578514246 · doi:10.1016/j.bjorl.2017.01.002

Position statement of the Brazilian Academy of Rhinology on the use of antihistamines, antileukotrienes, and oral corticosteroids in the treatment of inflammatory sinonasal diseases

2017· review· en· W2578514246 on OpenAlexaff
Olavo Mion, João Ferreira de Mello, Daniel Dutra, Nilvano Alves de Andrade, Washington Luiz de Cerqueira Almeida, Wilma Teresinha Anselmo‐Lima, Leonardo Lopes Balsalobre Filho, Jair de Carvalho e Castro, Roberto Eustáquio dos Santos Guimarães, Marcus Miranda Lessa, Sérgio Fabrício Maniglia, Roberto Campos Meireles, Márcio Nakanishi, Shirley Shizue Nagata Pignatari, Renato Roithmann, Fabrizio Ricci Romano, Rodrigo de Paula Santos, Marco César Jorge dos Santos, Edwin Tamashiro

Bibliographic record

VenueBrazilian Journal of Otorhinolaryngology · 2017
Typereview
Languageen
FieldMedicine
TopicSinusitis and nasal conditions
Canadian institutionsMount Sinai Hospital
Fundersnot available
KeywordsRhinologyMedicineIntensive care medicineNoseNasal sprayPopulationParanasal sinusesMEDLINEDermatologyNasal administrationSurgeryPharmacologyOtorhinolaryngologyEnvironmental health

Abstract

fetched live from OpenAlex

Inflammatory conditions of the nose and paranasal sinuses are very prevalent in the general population, resulting in marked loss of quality of life in affected patients, as well as significant work, leisure, and social activity losses. These patients require specific and specialized treatment. A wide range of oral medications are available. The present document is aimed to clarify, for professionals treating patients with inflammatory sinonasal diseases, both specialists and general practitioners, specific oral therapies in noninfectious nasal inflammatory conditions. The methodology used to create this article included the search for the key words: oral corticosteroids, antihistamines, antileukotrienes, rhinitis, rhinosinusitis in the MEDLINE and EMBASE databases in the last 5 years. Since no relevant article was found for the text on the subject of interest in the last 5 years, the search was extended for another 5 years, and so on, according to the authors’ needs. Relevant literature was found regarding the use of antihistamines, antileukotrienes and oral corticosteroids in these conditions. The Brazilian Academy of Rhinology emphasizes, after extensive discussion by the collegiate, key points in the treatment with these drugs. There is support in the literature for the use of these drugs; however, final considerations about the role of each of them have been made. As afecções inflamatórias do nariz e seios paranasais são muito prevalentes na população geral, causam acentuada perda de qualidade de vida dos pacientes afetados, gerando perdas significativas das atividades de trabalho, lazer e sociais. Estes pacientes necessitam de tratamento específico e especializado e uma ampla gama de medicações orais estão disponíveis. O presente documento tem por objetivo esclarecer àqueles que tratam das doenças nasossinusais inflamatórias, tanto especialistas quanto generalistas, sobre as terapêuticas orais nas afecções inflamatórias nasais não infecciosas. A metodologia utilizada para elaboração deste artigo incluiu a busca das palavras chave: corticosteroides orais, anti-histamínicos, antileucotrienos, rinite, rinossinusite nos bancos de dados MEDLINE e EMBASE nos últimos 5 anos. Não sendo encontrado artigo relevante para o texto sobre o assunto de interesse nos últimos 5 anos, a busca poi extendida por mais 5 anos, e assim por diante, de acordo com a necessidade dos autores. Literatura relevante foi encontrada com relação ao uso dos anti-histamínicos, antileucotrienos e corticosteroides orais nestas afecções. A Academia Brasileira de Rinologia resalta, após amplo debate do colegiado, pontos-chave no tratamento com estes medicamentos. Há respaldo na literatura para o uso destes medicamentos, entretanto considerações finais acerca do papel de cada deles foram feitas.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.022
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.114

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.036
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0060.006
Science and technology studies0.0030.002
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0070.006
Insufficient payload (model declined to judge)0.0090.005

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.132
GPT teacher head0.374
Teacher spread0.242 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2017
Admission routes1
Has abstractyes

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