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Lower Limb Assessment Related to Vascularity: A Simple Bedside Enabler

2022· article· en· W4226411319 on OpenAlexaff
Hiske Smart, Mariette Swart, R. Gary Sibbald

Bibliographic record

VenueAdvances in Skin & Wound Care · 2022
Typearticle
Languageen
FieldMedicine
TopicDiagnosis and Treatment of Venous Diseases
Canadian institutionsToronto Public HealthWomen's College Hospital
Fundersnot available
KeywordsMedicineEtiologyIntensive care medicineLower limbSurgeryPhysical therapyInternal medicine

Abstract

fetched live from OpenAlex

The lower limb is a vulnerable area of the body and often subjected to minor or major trauma. In the presence of underlying systemic disease, especially with comorbidities related to arterial blood supply and simple venous backflow compromise, traumatic injury may trigger an acute lower limb skin injury to become a chronic ulcer.1 Regardless of the cause of skin breakdown, the majority of chronic lower limb wounds often have an underlying venous etiology2 that can be managed successfully with compression therapy.3 However, not all leg wounds present in the same way nor should they be treated equally. The subtle presence of arterial compromise in a predominantly venous etiology may change the appearance of the wound, the pain experience of the patient, and patient adherence to the treatment protocol (mixed venous-arterial etiology).4 Equally challenging may be lower limb edema in the limb of a person with arterial insufficiency who is not eligible for full compression therapy (mixed arterial-venous etiology).5 These mixed clinical presentations often have subtle differences and, if those are missed, clinical outcomes may not be achieved. The importance of interprofessional team involvement in managing challenging wounds that do not heal at the expected rate cannot be emphasized enough.6 Accordingly, the aim of this bedside enabler is to help clinicians recognize different clinical presentations of lower limb ulcers and assessment markers (Table 1). Recognizing these nuances in day-to-day clinical practice will promote correct initiation of adapted intervention protocols, leading to improved patient outcomes. The Table in this Practice Points column includes markers associated with blood flow etiologies of venous, arterial, mixed arterial-venous, mixed venous-arterial, and the combined neuroischemic diabetic foot.Table 1: FACTORS ASSOCIATED WITH DIFFERENT UNDERLYING ETIOLOGIES IN LOWER LIMB WOUNDSBy empowering clinicians to use multiple markers associated with lower leg and ischemic-related foot ulcers, early detection of complex lower limb ulcers with potential healing difficulties can be established from the outset. Clinicians should prioritize the correction of underlying etiologies and form an interprofessional team centered around the patient. Appropriate interventions should be initiated as needed, such as correction of arterial blood supply, smoking cessation, edema control, and weight loss, as well as metabolic control of blood glucose in persons with diabetes. Astute clinical assessment promotes timely wound treatment, lowering cost while improving patient quality of life.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.882
Threshold uncertainty score1.000

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)0.0010.000

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 head0.007
GPT teacher head0.314
Teacher spread0.307 · 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 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".

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Citations1
Published2022
Admission routes1
Has abstractyes

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