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Record W3217582274 · doi:10.31579/2640-1045/037

Education and Exercise on the Quality of Life among Adults with Chronic Renal Disease

2018· article· en· W3217582274 on OpenAlexaff
Melba Sheila D’Souza, Eilean Rathinasamy Lazarus

Bibliographic record

VenueEndocrinology and Disorders · 2018
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsAbbotsford Veterinary Clinic
Fundersnot available
KeywordsMedicineQuality of life (healthcare)Kidney diseaseIntervention (counseling)Physical therapyDiseaseHemodialysisDialysisHealth educationChronic renal diseasePublic healthInternal medicineNursing

Abstract

fetched live from OpenAlex

Objective: Evaluate the effectiveness of education and exercise on the quality of life among adults with chronic renal disease (CRD) on hemodialysis post-intervention (4 and 8 weeks). Methods: An evaluative true intervention approach was used. An ethical approval was obtained from the institutional ethics committee. A random sample of 150 patients (75 in intervention and 75 in control group) with CRD receiving dialysis was selected based on the inclusion criteria. The intervention group received interactive education and supervised exercises. RAND health-related kidney disease QOL (KDQOL) questionnaire was used. Results: Mean scores for the Kidney Disease and general QOL sub-scales among the intervention group were higher and statistically significant (p<0.01) compared to the control group. Conclusion: Education and exercise was shown to have a positive effect on the physical and mental health among the adults.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0020.000

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 head0.010
GPT teacher head0.269
Teacher spread0.259 · 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 designNon-randomized trial
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

Citations2
Published2018
Admission routes1
Has abstractyes

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