Evidence map›Paper›PMID 38560616›Full record

ArticleTranslational medicine @ UniSa2024

Two-year Opioid Prescription Trends in Local Sanitary Agency Naples 3 South, Campania Region, Italy. Descriptive Analyses and AI-based Translational Perspectives.

Marco Cascella, Maurizio Capuozzo, Francesco Ferrara, Alessandro Ottaiano, Francesco Perri, Francesco Sabbatino, Valeria Conti, Vittorio Santoriello, Alfonso Maria Ponsiglione, Maria Romano and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Translational medicine @ UniSa, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.3field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 1 country.

Marco CascellaDepartment of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, 84081, Salerno, Italy.
Maurizio CapuozzoPharmaceutical Department, ASL Napoli 3 Sud, Ercolano, 80056, Naples, Italy.
Francesco FerraraPharmaceutical Department, ASL Napoli 3 Sud, Ercolano, 80056, Naples, Italy.
Alessandro OttaianoIstituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", via M. Semmola, 80131, Naples, Italy.
Francesco PerriIstituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", via M. Semmola, 80131, Naples, Italy.
Francesco SabbatinoDepartment of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, 84081, Salerno, Italy.
Valeria ContiDepartment of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, 84081, Salerno, Italy.
Vittorio SantorielloDepartment of Information Technology and Electrical Engineering, University of Naples Federico II, 80125, Naples, Italy.
Alfonso Maria PonsiglioneDepartment of Information Technology and Electrical Engineering, University of Naples Federico II, 80125, Naples, Italy.
Maria RomanoDepartment of Information Technology and Electrical Engineering, University of Naples Federico II, 80125, Naples, Italy.
Francesco AmatoDepartment of Information Technology and Electrical Engineering, University of Naples Federico II, 80125, Naples, Italy.
Ornella PiazzaDepartment of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, 84081, Salerno, Italy.
University of Naples Federico II · ITUniversity of Salerno · ITIstituto Nazionale Tumori IRCCS "Fondazione G. Pascale" · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: This study delves into the two-year opioid prescription trends in the Local Sanitary Agency Naples 3 South, Campania Region, Italy. The research aims to elucidate prescribing patterns, demographics, and dosage categories within a population representing 1.7% of the national total. Perspectives on artificial intelligence research are discussed. Methods: From the original dataset, spanning from January 2022 to October 2023, we processed multiple variables including demographic data, medications, dosages, drug consumption, and administration routes. The dispensing quantity was calculated as defined daily doses (DDD). Results: The analysis reveals a conservative approach to opioid therapy. In subjects under the age of 20, prescriptions accounted for 2.1% in 2022 and declined to 1.4% in 2023. The drug combination paracetamol/codeine was the most frequently prescribed, followed by tapentadol. Approximately two-thirds of the consumption pertains to oral formulations. Transdermal formulations were 15% (fentanyl 9.8%, buprenorphine 5.1%) in 2022; and 16.6% (fentanyl 10%, buprenorphine 6.6%) in 2023. These data were confirmed by the DDD analysis. The trend analysis demonstrated a significant reduction ( Conclusion: Despite limitations, the study provides valuable insights into prescribing practices involving an important study population. The findings underscore the need for tailored approaches to prescribing practices, recognizing the complexities of pain management in different contexts. This research can contribute to the ongoing discourse on opioid use, advocating for innovative strategies that optimize therapeutic outcomes while mitigating potential risks.

Indexed as

Artificial intelligenceBuprenorphineCancer painDefined daily doseFentanylFentanyl pectin nasal sprayNon-cancer painOpioid crisisOpioidsRapid onset opioidsTapentadol

Identifiers

PMID38560616
PMCPMC10980290
OpenAlexW4392235788

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.