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Record W2587639896

The characteristics of wound pain associated with diabetes-related foot ulcers: A pilot study

2016· article· en· W2587639896 on OpenAlexaboutno aff
AM Dickinson, Nicoletta Frescos, J.C. Firth, PS Hamblin

Bibliographic record

VenueWound Practice & Research: Journal of the Australian Wound Management Association · 2016
Typearticle
Languageen
FieldMedicine
TopicDiabetic Foot Ulcer Assessment and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePhysical therapyNeuropathic painDiabetes mellitusMcGill Pain QuestionnaireQuality of life (healthcare)Foot (prosody)Pain assessmentDiabetic footPain managementVisual analogue scaleAnesthesiaNursing
DOInot available

Abstract

fetched live from OpenAlex

There is increasing evidence that people with diabetes-related foot ulcers (DRFU) can experience pain related to their wound. A cross-sectional pilot study was conducted to examine and compare the prevalence, intensity and nature of DRFU pain in people with neuropathic, neuroischaemic and ischaemic wound aetiologies. A questionnaire incorporating pain assessment tools, the Short-form McGill Pain Questionnaire and the Short-form Brief Pain Inventory was used to interview 15 patients with DRFU. Descriptive analyses were conducted. The mean age was 64 years, 60% had neuropathic ulcers and 40% had neuroischaemic ulcers. No ischaemic DRFU were observed in the study sample. Formal assessment tools had a higher reported pain prevalence (53%) compared with a single question asked by the researcher (33%). Low scores for pain intensity and effect of pain on health-related quality of life were reported for both aetiologies. This study indicates people with DRFU can experience wound pain, despite analgesia usage. It also highlights that clinical pain assessment and management techniques appear inadequate. A larger study is warranted to investigate characteristics of DRFU pain, to determine if statistical differences in pain experiences exist between wound aetiologies and to develop guidelines for assessment and management of wound pain.

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)0.033
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.092
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0330.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.059
GPT teacher head0.349
Teacher spread0.290 · 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 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

Citations10
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueWound Practice & Research: Journal of the Australian Wound Management AssociationSame topicDiabetic Foot Ulcer Assessment and ManagementFrench-language works237,207