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Record W4411628234 · doi:10.1097/asw.0000000000000324

Surgical Options for Advanced Pressure Injuries

2025· article· en· W4411628234 on OpenAlexaff
A. Bert Chabot, Shafic Abdulkarim, Samantha D. Morin, Ibrahim T Yazgan, Abigail E. Chaffin

Bibliographic record

VenueAdvances in Skin & Wound Care · 2025
Typearticle
Languageen
FieldHealth Professions
TopicPressure Ulcer Prevention and Management
Canadian institutionsJewish General Hospital
Fundersnot available
KeywordsMedicinePressure injuryPsychological interventionConservative managementIntensive care medicineMedical emergencySurgeryNursing

Abstract

fetched live from OpenAlex

Advanced pressure injuries (PI), the debilitating consequence of prolonged pressure on the skin, are devastating wounds that are commonly refractory to treatment and are a source of significant patient morbidity and monetary strain on the healthcare system. This article outlines the fundamental principles for the conservative management of PIs, emphasizing risk factor mitigation, patient optimization, and preventive strategies. In addition, the article explores different surgical interventions for cases where PIs have progressed beyond conservative treatment options. GENERAL PURPOSE: To demonstrate knowledge of the evidence-based fundamental measures and surgical options to manage advanced pressure injuries (PIs). JOURNAL/aswca/04.03/00129334-202508000-00001/figure1/v/2025-07-18T083052Z/r/image-jpeg LEARNING OBJECTIVES/OUTCOMES: After participating in this educational activity, the participant will 1. Identify factors that place a patient at risk for PI. 2. Differentiate between the various stages and types of PI. 3. Apply evidence-based management strategies to treat patients with PI.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.948
Threshold uncertainty score0.646

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 head0.013
GPT teacher head0.432
Teacher spread0.419 · 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 designNot applicable
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

Citations1
Published2025
Admission routes1
Has abstractyes

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