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Record W2307367633 · doi:10.3747/pdi.2014.00342

Geriatric Assessment, Falls and Rehabilitation in Patients Starting or Established on Peritoneal Dialysis

2015· review· en· W2307367633 on OpenAlexaffabout
Sarbjit V. Jassal

Bibliographic record

VenuePeritoneal Dialysis International · 2015
Typereview
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsMedicinePeritoneal dialysisRehabilitationDialysisInterimLife expectancyPsychological interventionIntensive care medicineActivities of daily livingPhysical therapyNursingPsychiatrySurgeryPopulation

Abstract

fetched live from OpenAlex

Individuals aged over 70 years at the time of starting dialysis have a varied and often challenging existence on dialysis. Canadian data suggest those starting dialysis between the ages of 75 and 79 years will have an average life expectancy of 3.2 years, while based on US data, patients can expect an average life expectancy of 25 months. A substantial proportion of these patients will, however, experience transient or permanent loss of personal independence within the first few months to years on dialysis. Preliminary data from patients recently started on peritoneal dialysis (PD) suggest patients and families adapt, but that the adaptation often involves limiting activities and altering the social role the patient has within the family. As data emerge, it will be possible to hypothesize whether this adaptation is beneficial in the long term, or whether these adaptations are permissive, allowing the patient to play a sick role leading to an accelerated transition to frailty and possibly death. Future research will hopefully inform us whether the functional dependency can be identified early and whether it is preventable. In the interim, repair rather than prevention is possible through rehabilitation. We therefore advocate that programs providing PD care consider the integration of protocols whereby patients may undergo formal evaluation to identify those who would benefit from walking or personal care aids, rehabilitation interventions, and, when needed, personal support.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.975
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0020.001
Science and technology studies0.0000.000
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 head0.028
GPT teacher head0.363
Teacher spread0.334 · 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
GenreReview

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

Citations17
Published2015
Admission routes2
Has abstractyes

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