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Approaches to Microthrombotic Wounds: A Review of Pathogenesis and Clinical Features

2020· review· en· W3000049579 on OpenAlexaff
Asfandyar Mufti, Khalad Maliyar, Maleeha Syed, Christian Pagnoux, Afsáneh Alavi

Bibliographic record

VenueAdvances in Skin & Wound Care · 2020
Typereview
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineEtiologyPathogenesisIntensive care medicineDiseasePathophysiologyVasospasmDermatologyPathologySurgery

Abstract

fetched live from OpenAlex

GENERAL PURPOSE: To discuss the pathogenesis and clinical features of wounds caused by microthrombi formation under the following categories of systemic diseases: cold-related and immune-complex deposition diseases, coagulopathies, abnormalities in red blood cell structure, emboli, and vasospasm. TARGET AUDIENCE: This continuing education activity is intended for physicians, physician assistants, nurse practitioners, and nurses with an interest in skin and wound care. LEARNING OBJECTIVES/OUTCOMES: After participating in this educational activity, the participant should be better able to:1. Recall the etiology, risk factors, and pathophysiology of the various types of microthrombotic wounds.2. Describe the clinical manifestations and treatment of the various types of microthrombotic wounds. ABSTRACT: Typical wounds such as diabetic foot ulcers, venous leg ulcers, pressure ulcers, and arterial ulcers are responsible for more than 70% of chronic wounds. Atypical wounds have broad differential diagnoses and can sometimes develop as a combination of different conditions. Regardless of the etiology, impaired blood circulation is characteristic of all chronic and acute wounds. Chronic wounds associated with microthrombi formation are an important group of atypical wounds commonly linked to an underlying systemic disease. In this perspective article, the pathogenesis and clinical features of wounds caused by microthrombi formation are discussed under the following categories of systemic diseases: cold-related and immune-complex deposition diseases, coagulopathies, abnormalities in red blood cell structure, emboli, and vasospasm.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.827
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0000.001
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 head0.088
GPT teacher head0.387
Teacher spread0.300 · 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
GenreReview

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

Citations6
Published2020
Admission routes1
Has abstractyes

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