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Record W2171061907 · doi:10.1093/ndt/gfm659

Cognitive outcome following kidney transplantation

2007· article· en· W2171061907 on OpenAlexaff
Shannon R. Gelb, R. Jean Shapiro, Alan Hill, Wendy Loken Thornton

Bibliographic record

VenueNephrology Dialysis Transplantation · 2007
Typearticle
Languageen
FieldMedicine
TopicRenal Transplantation Outcomes and Treatments
Canadian institutionsUniversity of British ColumbiaSimon Fraser University
Fundersnot available
KeywordsMedicineKidney diseaseDialysisCognitive flexibilityCognitionKidney transplantationTransplantationNeuropsychologyVerbal memoryExecutive functionsPopulationInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: While a handful of studies have assessed cognition in kidney transplant (TX) recipients, the neuropsychological presentation of this population is not yet clear. Kidney transplantation typically leads to improvement of metabolic factors associated with chronic kidney disease (CKD). However, comorbid diseases independently linked with cognitive compromise often persist, and for this reason, cognitive difficulties may still be present following transplantation. METHODS: In this cross-sectional study, we assessed cognition in 42 kidney TX recipients, 45 outpatients with pre-dialysis CKD and 49 healthy controls using measures of verbal learning and memory and executive functioning. RESULTS: Findings indicated that TX and CKD patients demonstrated significantly worse verbal learning and memory in comparison to controls. While both CKD and TX patients exhibited significantly worse performance than controls on a response inhibition measure, only CKD patients performed significantly worse on a set-shifting task. CONCLUSIONS: Results suggest that, in comparison to controls, verbal memory and executive functioning skills are worse in both CKD and TX patients. Further research is needed to determine the etiology and extent of cognitive compromise, as well as to assess the clinical implications of these findings.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.093
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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)0.0000.000

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 head0.023
GPT teacher head0.320
Teacher spread0.297 · 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 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

Citations56
Published2007
Admission routes1
Has abstractyes

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