Bibliographic record
Abstract
BACKGROUND: Otitis media with effusion (OME) is common and may cause hearing loss with associated delayed language development in children. Treatment remains controversial. OBJECTIVE: To examine evidence for or against treating OME with systemic or topical nasal steroids. DATA SOURCES: We searched the Cochrane Controlled Trials Register using the terms otitis media; otitis media with effusion; glue ear; or OME and steroids; glucocorticoids; glucocorticoids, synthetic; glucocorticoids, topical; or anti-inflammatory agents, steroidal; or various combinations of these terms. EMBASE and MEDLINE were also searched. STUDY SELECTION: Randomized controlled trials of oral and topical nasal steroids, either alone or in combination with another agent such as an antibiotic, were included. Ten studies met the inclusion criteria. DATA EXTRACTION: Data extraction and methodological quality assessment were performed by the 2 of us (C.C.B. and J.H.v.d.V.) independently, using standardized methods described in the Cochrane Collaboration Handbook. DATA SYNTHESIS: The odds ratio for OME persisting after short-term follow-up in children treated with oral steroids compared with a control was 0.22 (95% confidence interval, 0.08 = 0.63), and was 0.32 (95% confidence interval, 0.20 = 0.52) for children treated with oral steroids plus an antibiotic compared with a control plus an antibiotic. Trends favored steroids for most other comparisons, but confidence intervals included unity. Trends favored steroids for most other comparisons, but confidence intervals included unity. CONCLUSIONS: Steroids alone or combined with an antibiotic lead to a quicker resolution of OME in the short-term. However, there is no evidence for a long-term benefit from treating hearing loss associated with OME with either oral or topical nasal steroids. These treatments are, therefore, not recommended.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.006 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".