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Record W2493553564 · doi:10.1111/hdi.12455

Comparison of pregabalin with doxepin in the management of uremic pruritus: a randomized single blind clinical trial

2016· article· en· W2493553564 on OpenAlexvenueno aff
Nazanin Foroutan, Abbas Etminan, Naemeh Nikvarz, Mohadese Shojai Shahrokh Abadi

Bibliographic record

VenueHemodialysis International · 2016
Typearticle
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsnot available
FundersKerman University of Medical Sciences
KeywordsPregabalinDoxepinMedicineVisual analogue scaleQuality of life (healthcare)Randomized controlled trialAnesthesiaInternal medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: Pruritus is one of the frustrating skin manifestations of advanced renal failure. Many options have been used for the management of uremic pruritus (UP) such as pregabalin. There are some studies that reported beneficial effects of pregabalin in reducing UP; however, most of them did not have a comparator arm. Therefore, we designed this study to compare antipruritic effects of pregabalin with doxepin in the management of pruritus in hemodialysis patients. METHODS: Seventy-two patients suffering from UP were randomly assigned to receive pregabalin (50 mg every other day) or doxepin (10 mg per day) for 4 weeks. Severity of pruritus and its effect on quality of life were assessed by visual analog scale (VAS), 5-D itch scale and dermatology life quality index (DLQI) at baseline and after 1 week, 2 weeks and 4 weeks of the treatment. FINDINGS: Mean scores of the VAS decreased from 7.5± 1.4 and 7.1 ± 1.3 at baseline to 2.1 ± 2.6 and 4.2 ± 2.6 at the end of the study (P < 0.001) in the pregabalin and doxepin groups, respectively. Similarly, pregabalin significantly reduced mean scores of the 5-D itch scale and the DLQI compared to doxepin. The most reported side effect in each group was somnolence which occurred in similar rates in the both groups. DISCUSSION: Pregabalin was more effective than doxepin in reducing the severity of uremic pruritus and improving the quality of life of patients in this study, so we suggest that clinician can consider pregabalin prior to using antihistamine drugs in the management of severe itch in hemodialysis patients.

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 categoriesnone
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 score0.128
Threshold uncertainty score0.204

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.068
GPT teacher head0.398
Teacher spread0.330 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations58
Published2016
Admission routes1
Has abstractyes

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