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Record W4414864521

Venöz Bacak Ülserinde Kanıt Temelli Uygulamalar

2024· article· en· W4414864521 on OpenAlexaboutno aff
Tuğçe Kaplan

Bibliographic record

VenueDergiPark (Istanbul University) · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Turkish Studies
Canadian institutionsnot available
Fundersnot available
KeywordsQuality of life (healthcare)AnkleVenous leg ulcerIncidence (geometry)Wound careLower limb
DOInot available

Abstract

fetched live from OpenAlex

A venous leg ulcer is defined as an open lesion extending from the ankle to the mid-calf, persisting for more than six weeks. This condition is associated with increased regional pressure. Venous leg ulcers are the most common type of ulcer in the lower extremity, with an estimated incidence of approximately 1%. Long-term treatment and recurrence rates are estimated to be 50-70%. These factors have a significant impact on patients' quality of life and place a significant burden on healthcare systems. The aim of treatment of venous leg ulcers is to reduce venous pressure, stimulate wound granulation and accelerate epithelialisation and wound healing, reduce oedema, reduce pain and improve the patient's quality of life and prevent recurrence. A multidisciplinary approach is important to increase the chance of success in diagnosis, treatment and follow-up.The aim of this review is to share evidence-based approaches developed by Wounds Canada for the prevention and management of venous leg ulcers.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.002

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 head0.014
GPT teacher head0.260
Teacher spread0.247 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2024
Admission routes1
Has abstractyes

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