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Record W2384056166

The clinical study of the relationship between the defect of different thickness dermal tissues and the proliferative scar formation

2005· article· en· W2384056166 on OpenAlexaboutno aff
Haitao Su, Shuliang Lu

Bibliographic record

VenueZhonghua chuangshang zazhi · 2005
Typearticle
Languageen
FieldMedicine
TopicWound Healing and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineScarsDermisHypertrophic scarHypertrophic scarsSurgeryGroup AAcellular DermisWound healingGroup BAnatomyInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Objective To explore the relationship between the defect of different thickness dermal tissues and the scar formation after burn injury. Methods The involved 32 donor sites of burn patients were divided into two groups: split thickness skin (Group A) and intermediate split thickness skin (Group B) from donor site. Meanwhile, according to condition whether autograft was necessary, Group A was divided into the following sub-groups respectively: group A1 (without autograft) and group A2 (split thickness autograft) and Group B into group B1 (without autograft), group B2 (split thickness autograft) and group B3 (intermediate split thickness autograft). The skin grafts either from donor site or autograft were collected for measurement of the dermal thickness by computer. The extent of the hypertrophic scars in donor site was also evaluated by Vancouver scoring system six months postoperatively. Results The dermal defect was 0.146-0.163 mm in Group A but 0.456-0.656 mm in Group B. The value of Vancouver scores became higher with increase of dermal defect but reduced when the lost dermis was regrafted to the wound. Conclusions It is proportional between dermal defect and scar formation. The scar proliferation would relieve if the dermis is regrafted to the wound.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.484

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.090
GPT teacher head0.384
Teacher spread0.294 · 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
Published2005
Admission routes1
Has abstractyes

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