MétaCan
Menu
Back to cohort
Record W2793539859 · doi:10.5799/jcei.382431

Acute Otitis Media Complications

2017· article· en· W2793539859 on OpenAlexaff
Cüneyt Kucur, İsa Özbay, Muhammet Fatih Topuz, Onur Erdoğan, Fatih Oğhan, Ali Güvey, Nadir Yıldırım

Bibliographic record

VenueJournal of Clinical and Experimental Investigations · 2017
Typearticle
Languageen
FieldMedicine
TopicEar Surgery and Otitis Media
Canadian institutionsBC Research (Canada)
Fundersnot available
KeywordsMedicineMastoiditisAcute otitis mediaOtitisMeningitisSurgeryPediatrics

Abstract

fetched live from OpenAlex

Objective: Acute otitis media is the result of viral or bacterial infections in the middle ear. Despite the frequent use of antibiotics for different reasons, it can still be present with serious complications. Although acute otitis media is most common between ages 3 months - 3 years, it can be seen in adults and even it may result in serious complications too. Patients and Methods: Our study was carried out by retrospectively screening patients who were admitted to Dumlupınar University Evliya Çelebi Training and Research Hospital between January 2013 and June 2015 for acute otitis media. During these years, hospital data of patients who have referred to our hospital have been reviewed for intracranial and intratemporal complications. Results: A total of 2475 patients with acute otitis media were included. Intracranial and intratemporal complications were observed in 16 patients. The most frequent complications were mastoiditis (in 4 patients), subperiosteal abscess, facial nerve palsy and meningitis (each in three patients). Acute labyrhintitis developed in two patients and petrositis in one. Conclusion: Despite the current preventive and therapeutic approaches, patients with acute otitis media can still present with complications.

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)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.170
GPT teacher head0.454
Teacher spread0.285 · 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 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

Citations2
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Clinical and Experimental InvestigationsSame topicEar Surgery and Otitis MediaFrench-language works237,207