An Indian pediatric emergency weight estimation tool: prospective adjustment of the Broselow tape
Bibliographic record
Abstract
BACKGROUND: This study aims to remodel the Broselow Pediatric Emergency Tape for the Indian pediatric population. The Broselow tape overestimates the heights of the Indian pediatric population and remits inaccurate predicted weights for all color zones with varying degrees and could result in overresuscitation of Indian children in emergency settings. The Indian children are underweight for their age and height. METHODS: We prospectively collected cross-sectional data on a sample of 1185 children aged 1 month to 12 years old in Chennai, India. The Broselow tape was used for length-based weight estimation, and actual weight was recorded by a weighing scale. In the first stage, we recruited 769 children. With univariate linear regression, we adjusted the Broselow tape by an 8 % correction factor to enhance accuracy and created a new tape with new weight and height ranges. In the second stage, we recruited 416 children and tested the new ranges for accuracy. RESULTS: The Broselow tape overestimates weights with a mean percentage difference of 5-15 % depending on the color zone. Accuracy of the Broselow tape by color-coded zone was between 33-86.6 %, with higher weight color zones showing lower accuracy. The new Indian pediatric weight estimation tool (IPWET), based on the Broselow tape has a weight range of 4-36 kg and height range of 50-150 cm (Broselow tape, 3-36 kg, 46-146.5 cm) and an improved accuracy between 51-97.8 %. CONCLUSIONS: A remodeled Broselow tape can predict weights with higher accuracy in the Indian pediatric population.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".