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Record W2883783530 · doi:10.1002/ejp.1291

Prescription opioid analgesic use in France: Trends and impact on morbidity–mortality

2018· article· en· W2883783530 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEuropean Journal of Pain · 2018
Typearticle
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsnot available
FundersAgence Nationale de Sécurité du Médicament et des Produits de Santé
KeywordsOxycodoneMedicinePropoxypheneMedical prescriptionOpioidTramadolConfidence intervalCodeinePopulationAnalgesicPharmacyEmergency medicineDemographyAnesthesiaInternal medicineMorphineEnvironmental healthFamily medicinePharmacology

Abstract

fetched live from OpenAlex

BACKGROUND: While data from USA and Canada demonstrate an opioid overdose epidemic, very little nation-wide European studies have been published on this topical subject. METHODS: Using a nationally representative sample of the French Claims database (>700,000 patients), the exhaustive nationwide hospital discharge database, and national mortality registry, all patients dispensed at least one prescription opioid (PO) in 2004-2017 were identified, to describe trends in PO analgesic use, shopping behaviour, opioid-related hospitalizations and deaths. Annual prevalence of PO use and shopping behaviour (≥1 day of overlapping prescriptions from ≥2 prescribers, dispensed by ≥3 pharmacies) was estimated. RESULTS: In 2004-2017, the annual prevalence of weak opioid use codeine, tramadol and opium rose by 150%, 123%, and 244%, respectively (p < 0.05). Strong opioid use increased from 0.54% to 1.1% (+104%, p < 0.05), significantly for oxycodone (+1950%). Strong opioid use in chronic noncancer pain rose by 88% (p < 0.05) and 1180% for oxycodone. Opioid shopping increased from 0.50% to 0.67% (+34%, p < 0.05), associated with higher mortality risk HR = 2.8 [95% confidence interval (CI): 1.2-6.4]. Opioid-related hospitalizations increased from 15 to 40 per 1,000,000 population (+167%, 2000-2017), and opioid-related deaths from 1.3 to 3.2 per 1,000,000 population (+146%, 2000-2015). CONCLUSIONS: This study provided a first European approach to a nationwide estimation with complete access to several national registries. In 2004-2017 in France, PO use excluding dextropropoxyphene more than doubled. The increase in oxycodone and fentanyl use, and nontrivial increasing trend in opioid-related morbidity-mortality should prompt authorities to closely monitor PO consumption in order to prevent alarming increases in opioid-related morbidity-mortality. SIGNIFICANCE: In 2004-2017, prescription opioid use in France at least doubled and oxycodone use increased particularly, associated with a nontrivial increase in opioid-related morbidity-mortality. Although giving no indication for an 'opioid epidemic,' these findings call for proper monitoring of opioid use.

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.

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)0.000
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 score0.031
Threshold uncertainty score0.420

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.032
GPT teacher head0.310
Teacher spread0.278 · 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