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Study on alexithymia and its affecting factors in continuous ambulatory peritoneal dialysis patients

2015· article· en· W3032698996 on OpenAlexaboutno aff
Lei Liu, Yiming Zhang, Mingming Wei, Dong Wang

Bibliographic record

VenueZhonghua xingwei yixue yu naokexue zazhi · 2015
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaContinuous ambulatory peritoneal dialysisToronto Alexithymia ScaleLogistic regressionInternal medicineAmbulatoryMedicinePeritoneal dialysisGastroenterologyPsychologyClinical psychology

Abstract

fetched live from OpenAlex

Objective To evaluate the alexithymia in the continuous ambulatory peritoneal dialysis(CAPD) patients in our peritoneal dialysis center, and determine the factors affecting alexithymia in CPAD patients. Methods The patients with end-stage renal disease treated by CAPD were divided into alexithymia group(total score≥61)and non-alexithymia group(total score≤51), according to the Toronto Alexithymia Scale(TAS-20). Risk factors for alexithymia were analyzed by Logistic regression statistical model. Results (1)The TAS-20 score was(55.8±9.2) in 86 cases of patients with CAPD.Among them, TAS-20 scores of 38 cases were ≥61 points with an average score (64.5±4.4), and the scores of 30 cases were ≤51 points with an average score(48.9±5.3), which had a significant difference(t=10.1, P<0.01). (2) There were significant differences in the pay-way and the residual urine volume between the two groups(P<0.01). There were significant correlations of alexithymia with the pay-way and the residual urine volume(P<0.01). (3) The level of serum albumin was significantly lower in alexithymia groups than that in non-alexithymia(P<0.01). The level of serum calcium, phosphorus and parathormone were significantly higher in alexithymia group than that in non-alexithymia group(P<0.05). There were significant negative correlations of alexithymia with the level of serum albumin(P<0.01) and positive correlations of alexithymia with the level of serum calcium, phosphorus and parathormone(P<0.05). (4) There were significant differences score in SF-36 total score, Physical Function, Bodily Pain, General Health, Vitality, Social Function, Role-Emotional and Mental Health(P<0.01); There were significant negative correlations of alexithymia with SF-36, Physical Function, Bodily Pain, General Health, Vitality, Social Function, Role-Emotional and Mental Health(P<0.05). (5)The Kt/v was 1.65±0.47 in alexithymia group and 2.13±0.69 in non-alexithymia group. There were significant differences in the two groups(t=2.5, P=0.017). There were significant negative correlations of alexithymia with Kt/v(r=-0.417, P=0.007)by Pearson correlation analysis. Logistic regression analysis showed that the level of serum albumin, SF-36 scores, residual urine volume, the pay-way and Kt/v were the risk factors for alexithymia. Conclusion The incidence rate of alexithymia is higher. The level of serum albumin, SF-36 scores, residual urine volume, the pay-way and Kt/v are the risk factors for alexithymia. Key words: Continuous ambulatory peritoneal dialysis; Alexithymia; Dialysis adequacy; Quality of life

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)0.000
metaresearch head score (Gemma)0.001
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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.032
GPT teacher head0.290
Teacher spread0.259 · 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
Published2015
Admission routes1
Has abstractyes

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