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Record W1986296414 · doi:10.1055/s-2003-38651

Fentanyl-TTS bei Arthrose bedingten Schmerzen

2003· article· de· W1986296414 on OpenAlexaboutno aff
Theodoros Theodoridis, I. Waap, S. Schwalen, J. Krämer

Bibliographic record

VenueZeitschrift für Orthopädie und ihre Grenzgebiete · 2003
Typearticle
Languagede
FieldMedicine
TopicPain Management and Opioid Use
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineFentanylAnesthesia

Abstract

fetched live from OpenAlex

AIM: Efficacy and tolerability of analgesic treatment with fentanyl-TTS (Durogesic) for pain caused by arthrosis was investigated. METHOD: Treatment with fentanyl-TTS was started for the first time in patients with severe pain caused by coxarthrosis and/or gonarthrosis and was prospectively documented for 30 days. Pain was assessed by the patient with an 11-step numerical analogue scale and by the physician with 5 questions (5-step scale) adapted from the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). RESULTS: A total of 243 patients (166 women, 77 men) with a mean age of 67 years (range 28 - 94) was treated. In the patient's rating, pain at rest as well as in motion decreased significantly from 6.4 +/- 2.1 to 2.9 +/- 2.0 and from 8.1 +/- 1.5 to 4.2 +/- 21, respectively (p < 0.001 for both comparisons). The sum score for the 5 questions with a detailed pain assessment by the physician decreased from 18.8 +/- 3.2 to 11.2 +/- 42 (p < 0.001). A significant pain reduction was also observed for each of the 5 single questions. At the end of observation the proportions of patients with no pain or impairment under different conditions were 5 % (climbing stairs), 14 % (walking), 26 % (standing), 33 % (lying/sitting), and 44 % (sleeping). The most common adverse events were nausea, vomiting, obstipation, and dizziness. Treatment with fentanyl-TTS was usually well-tolerated. CONCLUSION: Severe pain caused by arthrosis can be well treated with fentanyl-TTS with a favourable safety profile.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.763
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.013

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 head0.019
GPT teacher head0.298
Teacher spread0.279 · 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 designNot applicable
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

Citations5
Published2003
Admission routes1
Has abstractyes

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