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Microbiologia do meato médio na rinossinusite crônica

2007· article· pt· W2034040619 on OpenAlexaff
Elisabeth Araújo, Celso Dall, Vladmir Cantarelli, Alexandre da Costa Pereira, Afonso Mariante

Bibliographic record

VenueRevista Brasileira de Otorrinolaringologia · 2007
Typearticle
Languagept
FieldMedicine
TopicSinusitis and nasal conditions
Canadian institutionsPublic Health Ontario
Fundersnot available
KeywordsStaphylococcus aureusMedicineMicrobiologyBiologyBacteriaGenetics

Abstract

fetched live from OpenAlex

Este foi um estudo prospectivo que visou identificar a microbiologia do meato médio em pacientes com rinossinusite crônica (RSC) e compará-la com a de indivíduos sadios. MATERIAL E MÉTODOS: Foram incluídos 134 pacientes RSC e 50 voluntários sadios, que constituíram o grupo controle. As amostras foram coletadas endoscopicamente e submetidas a exames pelo método de Gram com contagem leucocitária e culturas para aeróbios, anaeróbios e fungos. RESULTADOS: Nos pacientes com RSC foram cultivados 220 microorganismos, dentre os quais os mais freqüentes foram o Staphylococcus aureus, presente em 31% das amostras, e o Staphylococcus coagulase-negativo (SCN) em 23%. Gram-negativos ou facultativos foram isolados em 37% das amostras, anaeróbios em 12%, e fungos em 14%. Ao exame bacterioscópico evidenciou-se alguns ou numerosos leucócitos em 74% das amostras com culturas positivas. Nos indivíduos sadios o SCN foi isolado em 40% das amostras e o Staphylococcus aureus em 18%. Em 12% dos indivíduos a cultura para fungos foi positiva, e o exame direto negativo. Todas as culturas anaeróbias foram estéreis. Quanto à contagem leucocitária todos apresentaram nenhum ou raros leucócitos. CONCLUSÃO: Os grupos apresentaram resultados semelhantes quanto à microbiologia, entretanto, diferiram em relação à contagem leucocitária, o que auxilia na diferenciação um microorganismo infectante de um colonizante.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
models agreeAgreement compares identical category sets and study designs across arms.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.002

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 head0.027
GPT teacher head0.300
Teacher spread0.273 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations14
Published2007
Admission routes1
Has abstractyes

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