Evaluating Strength of Evidence of Pediatric Otolaryngology Research Literature: A 20‐Year Review
Bibliographic record
Abstract
OBJECTIVES/HYPOTHESIS: Quantity and quality of Otolaryngology-Head and Neck Surgery (OTL-HNS) research are increasing, yet patterns within Pediatric OTL-HNS publications are unknown. This study examines trends in the level of evidence of pediatric OTL-HNS articles over a 20-year period to quantify the growth and characterize contributing factors. STUDY DESIGN: Review article. METHODS: A retrospective review was conducted on 12 peer-reviewed OTL-HNS journals at three time-points: 1996, 2006, and 2016. Pediatric-specific OTL-HNS journals were selected; all were among the top 10 highest impact factor journals, with one pediatric-specific and one Canadian journal. Publication details, author characteristics, and study focus were collected. Papers were classified based on the Oxford Centre for Evidence-Based Medicine Levels of Evidence by two independent reviewers. RESULTS: Of the 1,733 articles reviewed, 727 met inclusion criteria. A greater absolute number of pediatric OTL-HNS articles were published over the years studied: from 95 in 1996 to 359 in 2016 (P < .001). As well, the absolute number of high-quality studies has increased over the study period, from 28 articles in 1996 to 100 articles in 2016. However, the relative percentage of high-quality papers remained stable between 27.9% and 32.2% with an average of 29.7% (P = .89). Higher impact factor journals did not tend to publish higher-quality pediatric OTL-HNS articles (P = .48). CONCLUSIONS: Over the past 20 years, there is no appreciable improvement in the proportion of high-quality publications in pediatric OTL-HNS; however, there is an overall greater number of high-quality papers within OTL-HNS literature. These findings likely relate to challenges of research within pediatric surgical specialties. LEVEL OF EVIDENCE: NA Laryngoscope, 132:1869-1876, 2022.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.415 | 0.248 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.020 | 0.007 |
| Bibliometrics | 0.001 | 0.015 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.008 | 0.002 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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.
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; both teacher heads agree on what is shown here.
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".