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Quality of life of end‐stage renal disease patients and study on the implementation of nocturnal home hemodialysis in Greece

2007· article· en· W2091123198 on OpenAlexvenueno aff
Kallirroi Stavrianou, N. Pallikarakis

Bibliographic record

VenueHemodialysis International · 2007
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsnot available
Fundersnot available
KeywordsHemodialysisMedicineQuality of life (healthcare)End stage renal diseasePopulationHome hemodialysisDiseaseNocturnalMental healthKidney diseaseIntensive care medicinePhysical therapyInternal medicineEnvironmental healthNursingPsychiatry

Abstract

fetched live from OpenAlex

The aim of this study was to measure the overall health-related quality of life of patients receiving hemodialysis in Greece and to assess willingness, motivation, and concerns about participating in a nocturnal home hemodialysis program. This review measured successfully the quality of life of 146 end-stage renal disease (ESRD) patients undergoing hemodialysis in 10 hemodialysis centers all over Greece and studied the factors that affect their choice to adopt a specific treatment. Physical and mental health status and health-related quality of life, measured by the Kidney Disease Quality of Life Short Form accompanied by the demographic data gathered, provide information that can help to improve ESRD patient care in Greece. A comparison with the Greek general population identifies lower physical functioning scores for the ESRD patients, while the mental functioning scores are comparable with those of the Greek general population. Moreover, it is important to notice the willingness expressed by half of the patients to participate in a potential program of nocturnal home hemodialysis.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.341
Teacher spread0.313 · 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 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

Citations16
Published2007
Admission routes1
Has abstractyes

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