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Record W2356598784

COMPARISON OF THE CLINICAL EFFECT OF COMPLEX TRANSPLANTATION WITH HETERGENEOUS ACEL-LULAR DERMAL MATRIX (ADM) AND HETEROCATAL ADM

2005· article· en· W2356598784 on OpenAlexaboutno aff
Sun Zhigang

Bibliographic record

VenueChinese Journal of Reparative and Reconstructive Surgery · 2005
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTransplantationSignificant differenceSurgeryTherapeutic effectContraction (grammar)AnesthesiaInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Objective To explore the short term clinical effects of complex transplantation among the acellular dermal matrix(ADM) of heterogenic or heterocatal and autogenic split on the burnt wound as to find out a permanent substitution for the treatment on full skin thickness defect without scar. Methods Two kinds of ADM were used on the 18 patients with full thickness burn wound through complex transplantation with autogenic splits. The patients with medial thickness autograft was used as control group. Survival rate was obtained 2 weeks after operation; contraction rate and the scores of Vancouver burn scale were obtained 8 weeks after operation. Results No significant difference was observed in survival rate among the three groups 2 weeks after operation( P 0.05); no significant difference was observed in contraction rate of autografts and scores of Vancouver burn scale among the three groups 8 weeks after operation( P 0.05). Conclusion ADM of heterogenic and ADM of heterocatal have similar effect on the reconstruction of skin, so the piglet ADM made in this way could be used as a substitution.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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

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 head0.024
GPT teacher head0.370
Teacher spread0.346 · 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 designNon-randomized trial
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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