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Record W4409493784 · doi:10.1186/s12882-024-03820-7

Symptom reduction in kidney transplant patients from 20-minute mindful breathing: a randomized controlled trial

2025· article· en· W4409493784 on OpenAlexaboutno aff
Kok Peng Ng, Shok Hoon Ooi

Bibliographic record

VenueBMC Nephrology · 2025
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineNephrologyRandomized controlled trialInternal medicineKidney transplantBreathingReduction (mathematics)Physical therapyIntensive care medicineKidney transplantationKidneyAnesthesia

Abstract

fetched live from OpenAlex

BACKGROUND: Many kidney transplant recipients continue to be affected by multiple symptoms even after their transplant. Mindfulness may be helpful to alleviate some of the symptoms. OBJECTIVES: Our current study aimed to determine the efficacy of a single session of 20-minute mindful breathing in alleviating multiple symptoms in kidney transplant patients. METHODS: Adult kidney transplant patients with at least one symptom scoring ≥ 4/10 based on the Edmonton Symptom Assessment Scale (ESAS) were recruited from November 2020 to May 2021. Participants were randomly assigned to either 20-minute mindful breathing or control. RESULTS: Sixty participants were recruited and randomly assigned to intervention (N = 30) or control (N = 30). There was statistically significant greater reduction of the total ESAS score in the intervention group compared with the control group (mean difference = -4.833, confidence interval = -7.837, -1.830, t = -3.251, p = 0002). CONCLUSION: Our results provided evidence that 20-minute mindful breathing could reduce multiple symptoms rapidly in kidney transplant recipients.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.000

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 head0.015
GPT teacher head0.290
Teacher spread0.276 · 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 designRandomized trial
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

Citations4
Published2025
Admission routes1
Has abstractyes

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