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Record W3116466493 · doi:10.1136/bmjspcare-2020-002606

Aberrant opioid use behaviour in advanced cancer

2020· article· en· W3116466493 on OpenAlexaboutno aff
Sebastiano Mercadante, Claudio Adile, Walter Tirelli, Patrizia Ferrera, Italo Penco, Alessandra Casuccio

Bibliographic record

VenueBMJ Supportive & Palliative Care · 2020
Typearticle
Languageen
FieldMedicine
TopicPain Management and Opioid Use
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineObservational studyOpioidBrief Pain InventoryCancer painDeliriumAnxietyDepression (economics)Prospective cohort studyHospital Anxiety and Depression ScaleCancerInternal medicinePhysical therapyPsychiatryChronic pain

Abstract

fetched live from OpenAlex

OBJECTIVES: To evaluate the presence of aberrant behaviour in a consecutive sample of patients with advanced cancer treated with opioids in a country like Italy, with its peculiar attitudes towards the use opioids. The second objective was to detect the real misuse of opioids in clinical practice. METHODS: Prospective observational study in two palliative care units in Italy in a period of 6 months. At admission the Edmonton Symptom Assessment Scale, the Memorial Delirium Assessment Scale, Brief Pain Inventory (BPI) and the Hospital Anxiety Depression Scale were measured. For detecting the risk of aberrant opioid use, the Screener and Opioid Assessment for Patients With Pain (SOAAP), the Opioid Risk Tool (ORT), the Cut Down-Annoyed-Guilty-Eye Opener (CAGE) questionnaire adapted to include drug use (CAGE-AID) were used. Aberrant behaviours displayed at follow-up within 1 month were recorded. RESULTS: One-hundred and thirteen patients with advanced cancer were examined. About 35% of patients were SOAPP positive. There was correlation between SOAPP, CAGE-AID and ORT. SOAPP was independently associated with a lower Karnofsky level, pain intensity, poor well-being, BPI pain at the moment. No patient displayed aberrant behaviours, despite having a moderate-high risk. CONCLUSIONS: Despite a high percentage of patients showed a high risk of aberrant behaviours, no patient displayed clinical aberrant behaviours after 1 month-follow-up. This does not exempt from continuous monitoring for patients who are at risk.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.059
GPT teacher head0.368
Teacher spread0.309 · 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 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

Citations5
Published2020
Admission routes1
Has abstractyes

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