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Correlates for End‐Stage Renal Disease Patients

2000· article· en· W2055418465 on OpenAlexaboutno aff
Nur Yavuz, Metin KarataşL, ŞLehri Kinç

Bibliographic record

VenueScandinavian Journal of Caring Sciences · 2000
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsnot available
Fundersnot available
KeywordsEnd stage renal diseaseMoodMontreal Cognitive AssessmentComorbidityCognitionMedicineHemodialysisPopulationAmbulatoryDiseasePhysical therapyMini–Mental State ExaminationTest (biology)Clinical psychologyPsychiatryCognitive impairmentInternal medicine

Abstract

fetched live from OpenAlex

In this study 112 end-stage renal disease patients on hemodialysis were analyzed for their state of well-being, cognition, ambulatory capacity, and dexterity. The Nottingham Health Profile, the locomotion and dexterity sections of the Office of Population Censuses and Surveys disability scale, the modified Mini Mental State examination and a weighted index of comorbidity were used for assessment. The study revealed that good cognition, good mood, young age, and milder comorbid conditions were positively linked with good functional levels of locomotion and dexterity. The test instruments used in the investigation were considered simple to use and were effective in revealing relationships between the above-mentioned parameters.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.149
Threshold uncertainty score0.560

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.015
GPT teacher head0.275
Teacher spread0.260 · 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.

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

Citations4
Published2000
Admission routes1
Has abstractyes

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