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Costs and Health Resources Utilization Following Switching to Pregabalin in Individuals with Gabapentin‐Refractory Neuropathic Pain: A post hoc Analysis

2011· article· en· W1579985004 on OpenAlexaboutno aff
Ana Navarro, María T. Saldaña, Concepción Pérez, Xavier Masramón, Javier Rejas

Bibliographic record

VenuePain Practice · 2011
Typearticle
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsPregabalinMedicineGabapentinNeuropathic painRefractory (planetary science)Post-hoc analysisVisual analogue scaleAnesthesiaPhysical therapyInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE: To analyze the changes in pain severity and associated costs resulting from resource utilization and reduced productivity in patients with gabapentin-refractory peripheral neuropathic pain who switched to pregabalin therapy in primary care settings in Spain. PATIENTS AND METHODS: This is a post hoc analysis of a 12-week, multicentre, noninterventional cost-of-illness study. Patients were included in the study if they were over 18 years of age and had a diagnosis of chronic, treatment-refractory peripheral neuropathic pain. The analysis included all pregabalin-naïve patients who had previously shown an inadequate response to gabapentin and switched to pregabalin. Severity of pain before and after treatment with pregabalin, alone or as an add-on therapy, was assessed using the Short-Form McGill Pain Questionnaire (SF-MPQ) and its related visual analogue scale (VA). Healthcare resource utilization, productivity (including lost-workday equivalents [LWDE]), and related costs were assessed at baseline and after pregabalin treatment. RESULTS: A total of 174 patients switched to pregabalin had significant and clinically relevant reductions in pain severity (mean [SD] change on SF-MPQ VA scale, -31.9 [22.1]; P < 0.05 vs. baseline; effect size, 1.87). Reduction in pain was similar with both pregabalin monotherapy and add-on therapy. Significant reductions in healthcare resource utilization (concomitant drug use [in pregabalin add-on group], ancillary tests, and unscheduled medical visits) were observed at the end of trial. Additionally, there were substantial improvements in productivity, including a reduction in the number of LWDE following pregabalin treatment (-18.9 [26.0]; P < 0.0001). These changes correlated with substantial reductions in both direct (-652.9 ± 1622.4 €; P < 0.0001) and indirect healthcare costs (-851.6 [1259.6] €; P < 0.0001). CONCLUSIONS: The cost of care in patients with gabapentin-refractory peripheral neuropathic pain appeared to be significantly reduced after switching to pregabalin treatment, alone or in combination with other analgesic drugs, in a real-life setting.

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)0.014
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation 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 score0.152
Threshold uncertainty score0.730

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.005
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)0.0000.000

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 head0.049
GPT teacher head0.323
Teacher spread0.275 · 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 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

Citations10
Published2011
Admission routes1
Has abstractyes

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