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Vacuum-Assisted Wound Closure

2001· article· en· W1976468824 on OpenAlexaff
Melissa J. Yuan-Innes, Claire Temple, Martin S. Lacey

Bibliographic record

VenueSpine · 2001
Typearticle
Languageen
FieldMedicine
TopicSurgical site infection prevention
Canadian institutionsMinnow Environmental (Canada)London Health Sciences CentreWestern University
Fundersnot available
KeywordsMedicineNegative-pressure wound therapySurgeryVacuum aspirationWound closureWound healing

Abstract

fetched live from OpenAlex

STUDY DESIGN: The use of vacuum-assisted therapy to close upper thoracic and thoracolumbar spinal wounds was studied retrospectively. Two patients whose wounds failed conservative management were successfully treated by negative pressure therapy. OBJECTIVES: The authors evaluated the efficacy of applying vacuum therapy on patients with exposed spinal hardware and summarized current knowledge about this treatment. SUMMARY OF BACKGROUND DATA: Vacuum therapy was applied three times on two patients. METHODS: Success was defined as a stable, closed wound that required no future surgery and had no signs of chronic infection. RESULTS: Both patients' wounds were closed successfully and have received follow-up treatment for up to 10 months with no sign of recurrence. CONCLUSIONS: The cases illustrate the usefulness of vacuum-assisted therapy as an adjunct in closing complex back wounds with exposed spinal hardware. In the authors' experience, it helps establish a soft tissue envelope for wound healing and simplifies the need for future surgery.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.382
Threshold uncertainty score0.991

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)0.0100.001

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 head0.311
Teacher spread0.287 · 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.

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

Citations75
Published2001
Admission routes1
Has abstractyes

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