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Record W7132343496

Health-related quality of life of burn suvivors: impact of chronic pain

2012· article· en· W7132343496 on OpenAlexaboutno aff
Laima Juozapavičienė, Rytis Rimdeika

Bibliographic record

VenueLithuanian University of Health Sciences · 2012
Typearticle
Languageen
FieldMedicine
TopicBurn Injury Management and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsBurn injuryQuality of life (healthcare)Chronic painMcGill Pain QuestionnaireAfferentVisual analogue scaleNociception
DOInot available

Abstract

fetched live from OpenAlex

Background. Burn injuries cause one of the most intense and prolonged types of pain. Standard burn care involves a series of daily aggressive procedures that stimulate nociceptive afferent fibres for a prolonged period following injury and may contribute to development of chronic pain. Objective. To investigate chronic pain in burn survivors following 6 months after injury: incidence, quantitative and qualitative characteristics, health-related quality of life and daily activity. Methods. A cross-sectional study. Standard McGill Pain Questionnaire (Lithuanian version), Numeral Analog Pain Intensity Measuring Scale (NAS) and Health-related Quality of Life (SF-36) questionnaire were sent by mail to burn victims treated in a single burn unit during the period of 01/06/2008 30/04/2009. Sociodemographic data, injury data, the type and number of surgical interventions, complications (wound infection, pneumonia etc.) were obtained from case histories and questionnaires. [...].

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.055
GPT teacher head0.341
Teacher spread0.287 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations0
Published2012
Admission routes1
Has abstractyes

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