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Record W4300783895

Objective evaluation for venous leg ulcer-related nociceptive pain using thermography

2014· article· en· W4300783895 on OpenAlexaboutno aff
T Goto, A Naito, N Tamai, G Nakagami, Mo M, H Sanada

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2014
Typearticle
Languageen
FieldMedicine
TopicInfrared Thermography in Medicine
Canadian institutionsnot available
Fundersnot available
KeywordsNociceptionMedicineThermographyAnesthesiaInternal medicineInfraredPhysics
DOInot available

Abstract

fetched live from OpenAlex

Taichi Goto,1 Ayumi Naito,1,2 Nao Tamai,1 Gojiro Nakagami,1 Makoto Mo,3 Hiromi Sanada1 1Department of Gerontological Nursing/Wound Care Management, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan; 2Fujisawa City Hospital, Fujisawa, Kanagawa, Japan; 3Department of Cardiovascular Surgery, Yokohama Minami Kyosai Hospital, Yokohama, Kanagawa, Japan Purpose: We aimed to identify distinguishing characteristics in thermographic images of venous leg ulcer (VLU), for objective evaluation of VLU-related nociceptive pain. Patients and methods: Secondary analysis was performed, using existing data obtained from April to November 2010, for patients with VLU. Thermographic images of wounds and their surrounding area were classified according to the periwound temperature pattern as "normal temperature" or "high temperature". These results were compared with the self-reported pain intensity assessed by the short-form McGill Pain Questionnaire. Cohen's kappa coefficients were used to evaluate the interrater reliability for temperature assessment, and Wilcoxon rank sum test was used to compare pain intensities between the two groups. Results: Among 39 thermographic examinations in eight patients, 22 were classified into the high-temperature group and 17 into the normal-temperature group. Kappa coefficients for the temperature classification were 0.90 between the wound, ostomy, and continence nurse and a wound care specialist, and 0.90 between the wound, ostomy, and continence nurse and a graduate student. The pain rating index (Z=−2.981, P=0.003), sensory pain (Z=−3.083, P=0.002), affective pain (Z=−2.764, P=0.006), and present pain intensity (Z=−2.639, P=0.006) ratings were significantly higher in the high-temperature group than in the normal-temperature group, but the visual analog scale (Z=−0.632, P=0.527) was not significantly different between the two groups. Conclusion: Thermographic pattern may reflect VLU-related nociceptive pain due to inflammation and has the possibility of being an easy and rapid tool for objective pain evaluation. Keywords: short-form McGill Pain Questionnaire, temperature, wound assessment

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)0.010
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.613
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.239
GPT teacher head0.569
Teacher spread0.330 · 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".

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Citations0
Published2014
Admission routes1
Has abstractyes

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