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Prospective Multicenter Evaluation of an Advanced Extracellular Matrix for Wound Management

2020· article· en· W3031456986 on OpenAlexaffabout
Rose Raizman, Rosemary Hill, Kevin Woo

Bibliographic record

VenueAdvances in Skin & Wound Care · 2020
Typearticle
Languageen
FieldMedicine
TopicTissue Engineering and Regenerative Medicine
Canadian institutionsWorld Wildlife Fund Canada
Fundersnot available
KeywordsMedicineWound careWound healingProspective cohort studyExtracellular matrixWound closureMulticenter studyAdverse effectSurgeryInternal medicineRandomized controlled trial

Abstract

fetched live from OpenAlex

OBJECTIVE: To evaluate an advanced extracellular matrix made of ovine forestomach matrix (OFM) for healing a variety of wound types. METHODS: Participants were enrolled from inpatient, outpatient, and home healthcare settings. The OFM was used to treat all wounds and applied to the wound bed every 3 to 7 days until closure. RESULTS: Researchers enrolled 29 participants with 33 wounds. Average time to wound closure was 8.2 weeks, the percentage of wounds that reduced in size by 50% or more at 4 weeks was 64%, the average wound area reduction at 4 weeks was 66%, and 73% of wounds had closed at 12 weeks. No adverse effects were observed. CONCLUSIONS: This represents the first Canadian evaluation of OFM for the treatment of wounds, and the positive healing outcomes observed could support more widespread adoption of this matrix.

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)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.645
Threshold uncertainty score0.556

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.016
GPT teacher head0.341
Teacher spread0.325 · 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 designOther design
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

Citations21
Published2020
Admission routes2
Has abstractyes

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