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Record W4403700294 · doi:10.3389/fendo.2024.1505838

Editorial: Improving outcomes in diabetic foot care - a worldwide perspective

2024· editorial· en· W4403700294 on OpenAlexaboutno aff
Richard Paisey, José Luis Lázaro‐Martínez, Frances L. Game, Honda Hsu, Joanne Paton

Bibliographic record

VenueFrontiers in Endocrinology · 2024
Typeeditorial
Languageen
FieldMedicine
TopicDiabetic Foot Ulcer Assessment and Management
Canadian institutionsnot available
Fundersnot available
KeywordsDiabetic footMedicineDiabetes mellitusPerspective (graphical)Intensive care medicineComputer scienceEndocrinology

Abstract

fetched live from OpenAlex

The International Diabetes Federation has documented the challenging increase in prevalence of diabetes mellitus now evident in virtually every country in the world [1] . Over 90% have type 2 diabetes, and the majority of those living with diabetes live in low-or middle-income countries [2]. The specific diabetes associated complications-retinopathy, nephropathy and neuropathy are compounded by the enhanced risk of atherosclerotic vascular disease. Peripheral neuropathy, peripheral vascular disease and susceptibility to infection result in a high incidence of diabetic foot disease manifested by foot deformity, ulceration, ischaemia and infection [3]. The intractable nature of diabetic foot disease severely affects the quality of life and survival of those affected, impacts livelihood and family life and incurs enormous health care costs [4]. The incidences and outcomes for diabetic foot disease are influenced by age, ethnicity, deprivation and availability of early diagnosis and treatments [5,6].In this research topic we have sought to collate a worldwide perspective to encourage sharing of differing approaches to diabetic foot care and cross-cultural debate. We have been privileged to receive manuscripts from high-, middle-and low-income countries, which have provided insights into-assessment of strategies to prevent and heal foot ulceration; risk factors for foot ulceration; morbidity and mortality; established and novel treatment options.The key to prevention of diabetic foot wounds in high-risk subjects lies with patient engagement, and the group from Malaga assess the reliability and validity of a selfmanagement questionnaires. The Birmingham group have shown that individuals with newonset type 2 diabetes who had moderate to high risk of diabetic foot disease were more likely to die compared to those at low risk. Those who did not have foot examination had high risk both of foot ulceration and mortality. A review of wound healing from China offers hope that better preparation of exosomes could help healing in diabetic foot wounds. A metanalysis from India tackles the important issue of micronutrient deficiencies in Diabetic foot ulcer patients. Articles from Indigenous peoples in Canada and Nepal emphasise the need for a holistic approach to patient care and antimicrobial stewardship is evaluated in Peru. Dressings and debridement are reviewed in articles from Guizou in China and the intricacies of total contact casting versus removable casts and footwear in another metanalysis. From Chengdu in China another tackles the issue of standard versus advanced methods of debridement. Ozone therapy, platelet rich plasma application for DFU and micronutrient status in DFU are also presented. A single centre study from the UK highlights the value of national and local data analysis which has shown worse outcomes for diabetic foot disease in deprived populations during the Covid-19 epidemic. Finally, an important surgical report of distally based sural neurocutaneous flaps in severe foot wounds has shown considerable success with good healing and subsequent excellent patient mobility.The scope of these articles is wide, highlighting the need for more insights from around the world, to share innovations to help reduce the incidence and improve outcomes in diabetic foot disease.

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)0.007
metaresearch head score (Gemma)0.025
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: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.023
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.025
Meta-epidemiology (narrow)0.0050.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0030.002
Science and technology studies0.0020.003
Scholarly communication0.0080.007
Open science0.0050.002
Research integrity0.0170.020
Insufficient payload (model declined to judge)0.0230.013

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 head0.006
GPT teacher head0.283
Teacher spread0.277 · 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
GenreEditorial

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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