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Record W4412860746 · doi:10.59585/ijhs.v3i2.649

Investigating The Edmonton Symptom Assessment System (Esas) In Patients With Diabetic Foot Ulcers

2025· article· en· W4412860746 on OpenAlexaboutno aff
Usman Usman

Bibliographic record

VenueInternational Journal of Health Sciences · 2025
Typearticle
Languageen
FieldMedicine
TopicDiabetic Foot Ulcer Assessment and Management
Canadian institutionsnot available
Fundersnot available
KeywordsDiabetic footMedicineFoot (prosody)Diabetes mellitusPhysical therapyIntensive care medicineEndocrinology

Abstract

fetched live from OpenAlex

In addition to somatic ailments, individuals afflicted with DFU often manifest psychological maladies. Research on the psychological aspects of DFU patients has not yet been conducted, especially using the Edmonton Symptom Assessment System (ESAS) instrument. The aim is to predict the Edmonton Symptom Assessment System (ESAS) instrument among DFU Patients. This research conducted Descroptive Quantitative Research design. The sample in this study consisted of 57 DFU Patients who were selected by total sampling. The data collected in this study was analyzed descriptive Statistic. the majority of respondents are aged> 45 years as many as 53 respondents or 68.83%. Based on gender, it is found that the majority of respondents are female as many as 57 people or 74.03%. Based on the level of education, it was found that the majority of respondents graduated from elementary school totaling 31 people or 40.25%. Screening results on the Ankle Brachial Index found that the majority of respondents' ABI was Moderate, 31 people or 40.25%. While ESAS predictions are in the moderate category totaling 31 people or 40.25%.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.214

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.014
GPT teacher head0.339
Teacher spread0.325 · 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 designObservational
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

Citations0
Published2025
Admission routes1
Has abstractyes

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