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Tissue Tonometry Is a Simple, Objective Measure for Pliability of Burn Scar: Is It Reliable?

2006· article· en· W2091650315 on OpenAlexaboutno aff
Ian Lye, Dale W. Edgar, Fiona M. Wood, Sara Carroll

Bibliographic record

VenueJournal of Burn Care & Research · 2006
Typearticle
Languageen
FieldMedicine
TopicDermatologic Treatments and Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineIntraclass correlationScar tissueSurgeryReliability (semiconductor)Nuclear medicine

Abstract

fetched live from OpenAlex

Objective measurement of burn scar response to treatment is important to facilitate individual patient care, research, and service development. This work examines the validity and reliability of the tonometer as a means of quantifying scar pliability. Ten burn survivors were recruited into the study. Triplicate measures were taken for each of four scar and one normal skin point. The pliability score from the Vancouver Scar Scale also was used as a comparison. The tonometer demonstrated a high degree of reliability (intraclass correlation coefficients 0.91-0.94). It also was shown to provide a valid measure of pliability by quantifying decreased tissue deformation for scar (2.04 +/- 0.45 mm) compared with normal tissue (3.02 +/- 0.92 mm; t = 4.28, P = .004) and a moderate correlation with Vancouver Scar Scale scores. The tissue tonometer provides a repeatable, objective index of burn scar pliability. Using the methods described, it is a simple, clinically useful technique for monitoring an individual's scar.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.279
Threshold uncertainty score0.730

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.073
GPT teacher head0.433
Teacher spread0.360 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations50
Published2006
Admission routes1
Has abstractyes

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