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Record W7015580606

The study of relationship between painful diabetic peripheral neuropathy and functional status of older people in Kuantan

2019· other· en· W7015580606 on OpenAlexaboutno aff

Bibliographic record

VenueScientific Repository (Petra Christian University) · 2019
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPeripheral neuropathyDiabetes mellitusMann–Whitney U testDiabetic neuropathyMcGill Pain QuestionnairePeripheralOlder peopleAnalysis of varianceCross-sectional study
DOInot available

Abstract

fetched live from OpenAlex

Objective: The purpose of this study was to determine the relationship between painful diabetic peripheral neuropathy (PDPN) and functional status among older people in Kuantan, Pahang. Method: A cross sectional design was employed in this study. A total of 300 respondents were selected by convenience sampling method from Endocrine Clinics HTAA and selected clinics in Kuantan. The Short Form McGill Pain Questionnaire 2 (SFMPQ2) was used to characterized and determine the severity of PDPN and Katz ADL Index was used to determine the activities of patient’s daily living. Data was analysed by using SPSS 20.0 version and Descriptive analysis such as mean, standard deviation (SD) and frequency were utilized to describe the characteristics of the respondents. The mean age of the respondents was 68 years old. Result: Spearmen Correlation was utilized to determine the relationship between painful diabetic peripheral neuropathy and functional status. Kruskal Wallis test and Mann Whitney test was conducted in finding the relationship between painful diabetic peripheral neuropathy and socio demographic and clinical characteristic. Conclusion: The result indicates that functional status not significantly associated with the pain. However, race, duration of diabetes mellitus and types of treatment were significantly contributed to 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.235
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.015
GPT teacher head0.206
Teacher spread0.191 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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