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Chronic Peritoneal Dialysis in the Elderly

2002· article· en· W1506439726 on OpenAlexaff
Nada Dimković, Dimitrios G. Oreopoulos

Bibliographic record

VenueSeminars in Dialysis · 2002
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsToronto Western HospitalUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicinePeritoneal dialysisPsychosocialDialysisReferralPeritonitisIntensive care medicineRehabilitationMalnutritionNursing carePhysical therapyInternal medicinePsychiatryNursing

Abstract

fetched live from OpenAlex

Available data indicate that peritoneal dialysis (PD) offers some advantages for the increasing number of elderly patients with ESRD, such as hemodynamic stability, steady-state metabolic control, good control of hypertension, independence from hospital visits, and avoidance of repeated vascular access. Early referral promotes the establishment of peritoneal access and minimizes the consequences of uremia and subsequent morbidity and frequent hospitalization. Elderly patients have similar modality-related complications such as peritonitis, catheter-related complications, exit-site and tunnel infection, and hernias as younger patients. Comorbid conditions, malnutrition, and psychosocial status influence the survival of elderly patients on PD. Elderly patients are compliant and highly motivated to cooperate in treatment. They are more tolerant of changes and losses and have a greater sense of well-being, less illness and modality-related stress, and fewer mood disturbances. Despite comorbid conditions, that significantly impair self-performance of dialysis, PD can be performed successfully if they have family support or access to a network of medical and social support, that is, home nurses, rehabilitation services, and chronic care dialysis units, or nursing homes.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.832
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
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 head0.013
GPT teacher head0.255
Teacher spread0.242 · 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 designOther design
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

Citations35
Published2002
Admission routes1
Has abstractyes

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