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Record W2125344185 · doi:10.1586/14737167.4.2.227

Use of the Greek McGill Pain Questionnaire in cancer patients

2004· article· en· W2125344185 on OpenAlexaboutno aff
Kyriaki Mystakidou, Emmanuela Katsouda, Efi Parpa, Eleni Tsilika, Lambros Vlahos

Bibliographic record

VenueExpert Review of Pharmacoeconomics & Outcomes Research · 2004
Typearticle
Languageen
FieldMedicine
TopicPain Management and Opioid Use
Canadian institutionsnot available
Fundersnot available
KeywordsMcGill Pain QuestionnaireCancer painMedicineReliability (semiconductor)Palliative carePhysical therapyCancerPain assessmentPain managementVisual analogue scaleNursingInternal medicine

Abstract

fetched live from OpenAlex

Cancer directly causes pain and raises a significant clinical problem. Pain is the most dominant cause of suffering in cancer patients. The accurate assessment of pain is a prerequisite for its effective relief, and therefore, a universal methodology for the assessment of the pain status of a patient is required. There are many different methods and various instruments for the measurement of pain. The McGill Pain Questionnaire is a multidimensional instrument for the assessment of pain intensity and the multiple dimensions of the pain experience. Several translations and version of the McGill Pain Questionnaire exist. The Greek version was developed in Athens and has been tested for its use in cancer patients receiving palliative care. The Greek McGill Pain Questionnaire validation study provided preliminary evidence of the validity and reliability of the questionnaire. Future studies are needed to confirm the validity of the instrument in order to render it fully utilizable for the assessment of pain caused by the diverse conditions experienced by Greek 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 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)0.002
metaresearch head score (Gemma)0.007
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 score0.002
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.496
Teacher spread0.428 · 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".

Quick stats

Citations1
Published2004
Admission routes1
Has abstractyes

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