Outcomes in Adult Survivors of Childhood Burn Injuries as Compared with Matched Controls
Bibliographic record
Abstract
Limited research exists examining long-term mental and physical health outcomes in adult survivors of pediatric burns. The authors examine the postinjury lifetime prevalence of common mental and physical disorders in a large pediatric burn cohort and compare the results with matched controls. Seven hundred and forty five survivors of childhood burns identified in the Burn Registry (<18 years old and total BSA >1% between April 1, 1988 and March 31, 2010) were matched 1:5 to the general population based on age at time of injury (index date), sex, and geographic residence. Postinjury rate ratio (RR) was used to compare burn cases and control cohorts for common mental and physical illnesses through physician billings, and hospital claims. RR was adjusted for sex, rural residence, and income. Compared with matched controls, postburn cases had significantly higher RR of all mental disorders, which remained significant (P < .05) after adjustment (major depression RR = 1.5 [confidence limit {CL}: 1.2-1.8], anxiety disorder RR = 1.5 [CL: 1.3-1.8), substance abuse RR = 2.3 [CL: 1.7-3.2], suicide attempt RR = 4.3 [CL: 1.6-12.1], or any mental disorder RR = 1.5 [CL: 1.3-1.8]). The relative rate of some physical illnesses was also significantly increased in burn survivors: arthritis RR = 1.2 (CL: 1.1-1.4), fractures RR = 1.4 (CL: 1.2-1.6), total respiratory morbidity RR = 1.1 (CL: 1.02-1.3), and any physical illness RR = 1.2 (CL: 1.1-1.3). Adult survivors of childhood burn injury have significantly increased rates of postburn mental and physical illnesses. Screening and appropriate management of these illnesses is essential when caring for this population.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 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".