Systematic Identification and Critical Appraisal of Pediatric COVID-19 Guidelines Applicable in India
Bibliographic record
Abstract
OBJECTIVE: To systematically identify and critically appraise the methodological quality of pediatric guidelines applicable to management of COVID-19 in India. METHODS: Pediatric COVID-19 guidelines applicable to India, published until 30 April 2021, were identified through a systematic search across ten databases. Each was critically appraised for methodological quality using the AGREE-II tool, by at least two appraisers. Median (interquartile range) of the total score and domain-wise scores were calculated, and compared for Indian vs. foreign guidelines, updated vs. original versions of guidelines, and those developed earlier vs. later in the pandemic. RESULTS: A total of 62 guidelines was identified. Only 8 (12.9%) were published in India. The overall AGREE-II score ranged from 4.7% to 72.8%; with median (IQR) 37.9% (29.4, 48.6). This suggested overall low(er) methodological quality. The median (IQR) domain-wise scores were as follows: Scope and Purpose 66.7% (58.3, 83.3), Stakeholder Involvement 41.7% (30.6, 83.3), Rigor of Development 23.4% (14.8, 37.5), Clarity of Presentation 59.7% (50.0, 75.0), Applicability 27.1% (18.8, 33.3), and Editorial Independence 8.3% (0.0, 45.8). This suggested diversity in quality of different aspects of the guidelines, with very low quality in the critical domain of methodological rigor. There were no statistically significant differences in the overall scores of Indian vs. foreign guidelines, updated versions vs. original versions, and those developed earlier vs. later in the pandemic. CONCLUSION: The currently available pediatric COVID-19 guidelines have low methodological quality, adversely affecting their credibility, validity, and applicability. Urgent corrective strategies are presented for consideration.
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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 | 0.014 | 0.139 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".