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The Patient and Observer Scar Assessment Scale: A Reliable and Feasible Tool for Scar Evaluation

2004· article· en· W2003042721 on OpenAlexaboutno aff
Lieneke J. Draaijers, F.R.H. Tempelman, Yvonne A.M Botman, Wim E. Tuinebreijer, Esther Middelkoop, Robert W. Kreis, Paul P. M. van Zuijlen

Bibliographic record

VenuePlastic & Reconstructive Surgery · 2004
Typearticle
Languageen
FieldMedicine
TopicDermatologic Treatments and Research
Canadian institutionsnot available
FundersNederlandse Brandwonden Stichting
KeywordsMedicineObserver (physics)Cronbach's alphaScale (ratio)Consistency (knowledge bases)Reliability (semiconductor)PsychometricsArtificial intelligenceClinical psychologyComputer scienceCartography

Abstract

fetched live from OpenAlex

At present, various scar assessment scales are available, but not one has been shown to be reliable, consistent, feasible, and valid at the same time. Furthermore, the existing scar assessment scales appear to attach little weight to the opinion of the patient. The newly developed Patient and Observer Scar Assessment Scale consists of two numeric scales: the Patient Scar Assessment Scale (patient scale) and the Observer Scar Assessment Scale (observer scale). The patient and observer scales have to be completed by the patient and the observer, respectively. The patient scale's consistency and the observer scale's consistency, reliability, and feasibility were tested. For the Vancouver Scar Scale, which is the most frequently used scar assessment scale at present, the same statistical measurements were examined and the results of the observer scale and the Vancouver scale were compared. The concurrent validity of the observer scale was tested with a correlation to the Vancouver scale. Furthermore, the authors examined which specific characteristics significantly influence the general opinion of the patient and the observers on the scar areas. Four independent observers have each used the observer scale and the Vancouver scale to assess 49 burn scar areas of 3 x 3 cm belonging to 20 different patients. Subsequently, the patients completed the patient scale for their scar areas. The (internal) consistency of both the patient and the observer scales was acceptable (Cronbach's alpha, 0.76 and 0.69, respectively), whereas the consistency of the Vancouver scale appeared not to be acceptable (alpha, 0.49). The reliability of the observer scale completed by a single observer was acceptable (r = 0.73). The reliability of the Vancouver scale completed by a single observer was lower (r = 0.69). The observer scale showed better agreement than the Vancouver scale because the coefficient of variation was lower (18 percent and 22 percent, respectively). The concurrent validity of the observer scale in relation to the Vancouver scale is high (r = 0.89, p < 0.001). Linear regression of the general opinions on scars of the observer and the patient showed that the observer's opinion is influenced by vascularization, thickness, pigmentation, and relief, whereas the patient's opinion is mainly influenced by itching and the thickness of the scar. Such an impact of itching and thickness of the scar on the patient's opinion is an important and novel finding. The Patient and Observer Scar Assessment Scale offers a suitable, reliable, and complete scar evaluation tool.

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)0.008
metaresearch head score (Gemma)0.022
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.022
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.040
GPT teacher head0.319
Teacher spread0.279 · 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

Citations1,247
Published2004
Admission routes1
Has abstractyes

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