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Record W2617276475 · doi:10.1093/ndt/gfx181.mp756

MP756EVALUATION OF THE ONE YEAR FOLLOW UP OF DIALYSIS PTS BY RAPID NEUROPSYCHOLOGICAL SCREENING BATTERY

2017· article· en· W2617276475 on OpenAlexaboutno aff
Ornella Gambero, Valentina Corradi, Gregorio Romero, Lucia Meligrana, Mariangela Mettifogo, Massimo de Cal, Alessandra Brendolan, Carlo Crepaldi, Michela Marcon, Francesco Perini, Fiorenza Ferrari, Claudio Ronco

Bibliographic record

VenueNephrology Dialysis Transplantation · 2017
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBattery (electricity)DialysisNeuropsychologyHemodialysisInternal medicinePsychiatryCognition

Abstract

fetched live from OpenAlex

INTRODUCTION AND AIMS: In the international literature there is growing evidence about alteration in cognitive function in patients with renal replacement therapy (RRT). It seems that the executive domain is mainly involved. Further, we know little about possible differences in patients undergoing different treatments. The aim of the present study is to evaluate the executive domain of dialysis pts after 1 year of follow up by rapid neuropsychological screening battery. METHODS: We enrolled pts in chronic dialysis (HD or PD) from at least 3 months. Executive functioning was assessed in two time points (t0 and after 1 year) by Montreal Cognitive Assessment (MoCA) that, according to Italian normative data, can be divided into subtest (Santangelo et al., 2015). We divided the population based on Equivalent Score (ES): pathological (0,1 ES) and not pathological (2,3,4 ES). Statistical analysis was performed with SPSS21 software. RESULTS: We screened 207 dialysis pts: 133 were enrolled at T0 and 104 were enrolled in T1 period. 29 pts dropped out for different reasons (e.g. death, refusal). In the present study we compared only the pts that completed the test both at T0 and T1. At T0 the sample was composed of 47 (45.2%) HD pts and 57 (54.8%) PD pts. After a median follow up of 12 (8- 16) month the mean MoCA total score was significantly decreased (T0, 23.47 ± 4.01 vs T1, 22.89 ± 4.15; p= 0.027). Demographic data and MoCA subtest are shown in Table 1. Comparing each domain, we found a significantly difference of the percentage of patients (19.2%) that changed from not pathological (2,3,4 ES) to pathological (0, 1 ES) in executive domain from T0 to T1. In fact, at T1 the 41.3% of the sample shows difficulties in this domain. Moreover we compared the metabolic parameters between T0 and T1 (hemoglobin, creatinine, urea, sodium, potassium, calcium, chlorine, phosphorus, vitamin D, FGF23, protein C reactive, intact PTH, cholesterol and triglycerides) in patients (20 pts) that changed from not pathological to pathological in executive domain. We did not find any statistically differences. MP756 Figure

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 score0.002
Threshold uncertainty score0.007

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 communication0.0000.000
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 head0.033
GPT teacher head0.289
Teacher spread0.256 · 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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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