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Record W2921163683 · doi:10.1093/jbcr/irz059

Social Complexity and Risk for Pediatric Burn Injury: A Systematic Review

2019· review· en· W2921163683 on OpenAlexaff
Adam Padalko, Nora Cristall, Justin Gawaziuk, Sarvesh Logsetty

Bibliographic record

VenueJournal of Burn Care & Research · 2019
Typereview
Languageen
FieldMedicine
TopicBurn Injury Management and Outcomes
Canadian institutionsHealth Sciences CentreUniversity of Manitoba
Fundersnot available
KeywordsMedicineScopusBurn injuryIncidence (geometry)Injury preventionOccupational safety and healthSuicide preventionHuman factors and ergonomicsPoison controlGerontologyMEDLINEFamily medicineEnvironmental healthSurgeryPathology

Abstract

fetched live from OpenAlex

Social complexity in health outcomes has been attributed to greater risk of injury, adverse health consequences, and early death in a variety of populations. To determine what social complexity factors associated with burn injury in children, a systematic review of the literature was performed. Two different databases (PubMed and SCOPUS) were searched for articles related to environmental and social determinants of burn injury. Selected literature examined social complexity factors to establish the strength of evidence in relation to incidence of burn injury in children. The extent of factors and the most common social complexities were reviewed. The 641 manuscripts found in PubMed and 327 from SCOPUS were initially reviewed for duplication and English language. Subsequently, manuscripts were selected for relevance based on titles followed by abstracts. Forty-seven manuscripts were reviewed in their entirety. The literature supports a relationship between an increased incidence of pediatric burns in lower income families, children with behavioral disorders, fewer years of parental education and children residing in a rural setting. The majority of reports came from Europe followed by Australia, and scattered information from other countries. Social complexity factors in the environment of the child are associated with an increased risk of burn injury in children. The literature supports the influence of lower income, lower parental education, behavioral disorders and living rurally with an increased incidence of injury. By identifying children at increased risk, it is possible to develop targeted burn prevention and education programs to mitigate burn injury.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.531
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0060.002
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.250
GPT teacher head0.508
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

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".

Quick stats

Citations41
Published2019
Admission routes1
Has abstractyes

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