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Valoración de los niveles de alexitimia en pacientes en hemodiálisis

2019· article· es· W3003768497 on OpenAlexaboutno aff
Rosa Ma Salas Muñoz, Pilar López Morales, Antonio José Fernández Jiménez

Bibliographic record

VenueEnfermería Nefrológica · 2019
Typearticle
Languagees
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesMedicinePhilosophy

Abstract

fetched live from OpenAlex

Introduction: Alexithymia is a mood alteration manifested by difficulty in becoming aware of one's feelings and fantasies, as well as being able to express them verbally. It has been related to the development of other pathologies and the presence of chronic diseases. In the case of renal failure, it has been associated with poorer adherence to treatment and increased risk of mortality. Therefore, we consider assessing the presence of alexithyma in a group of hemodialysis patients in our center. Methods: Sample of 63 patients on hemodialysis, men and women, aged between 22 and 83 years. Hemodialysis treatment time was also collected. Descriptive cross-sectional study with data collected between February and April 2019. The Toronto Alexithymia Scale was applied individually. Frequency values were quantified for test scores and mean comparisons were made for sex, age and time on dialysis. Results: We found that 22.2% of the sample (14 subjects) shows clinically relevant alexithymia values. No significant differences were found in alexithymia scores according to sex, age or time on dialysis. Conclusions: The findings of this study allow us to conclude that almost a quarter of dialysis patients has alexithymia, warning of the need for these people to receive specialized psychological treatment.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.103
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.004

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 head0.009
GPT teacher head0.291
Teacher spread0.283 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2019
Admission routes1
Has abstractyes

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