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Record W2229176867

Scar Quality and Hand Function after Moist Exposed Burn Ointment and Skin Graft Treatment in Full Thickness Hand Burn

2007· article· en· W2229176867 on OpenAlexaboutno aff
Ji Cheol Shin, Cheong Hoon Seo, Ki Un Jang, Ki Yang Jung

Bibliographic record

VenueAnnals of Rehabilitation Medicine · 2007
Typearticle
Languageen
FieldMedicine
TopicWound Healing and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTransepidermal water lossScarsErythemaSurgeryDermatologyDorsumSkin thicknessBurn woundSkin repairWound healingPathology
DOInot available

Abstract

fetched live from OpenAlex

Objective: To compare the scar formation and hand function between moist exposed burn ointment (MEBO) treatment and conventional skin graft in full thickness hand burns. Method: Prospective comparative study was done between MEBO treatment group and conventional skin graft group. Full thickness burn wound scars on dorsal hand were compared. Scars were assessed with the Vancouver scar scale and other objective measurement tools such as pigmentation, erythema, pliability, transepideramal water loss, thickness and perfusion. Hand function was evaluated by the Jebsen hand function test and Michigan Hand Function Questionnaire. Results: Vancouver Scar scale showed significantly better scores in the MEBO group than in the conventional skin graft group. Scar thickness and transepidermal water loss were greater in the MEBO treatment group whereas pigmentation value was greater in the conventional skin graft group. There was no significant difference in the hand function between the two groups. Conclusion: MEBO application could be an alternative treatment to conventional skin graft treatment in full thickness hand burn wounds. In the future, more studies are yet to come how MEBO treatment may affect the skin condition of the burn injuries. (J Korean Acad Rehab Med 2007; 31: 582-589)

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.180
Threshold uncertainty score0.662

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.058
GPT teacher head0.380
Teacher spread0.322 · 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 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
Published2007
Admission routes1
Has abstractyes

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