Evidence map›Paper›PMID 34441993›Full record

ArticleJournal of clinical medicine2021

Predictors of Opioid Prescribing for Non-Malignant Low Back Pain in an Italian Primary Care Setting.

Simona Cammarota, Valeria Conti, Graziamaria Corbi, Luigi Di Gregorio, Pasquale Dolce, Marianna Fogliasecca, Teresa Iannaccone, Valentina Manzo, Vincenzo Passaro, Bernardo Toraldo and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
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 4 institutions in 1 country.

Simona CammarotaLinkHealth Health Economics, Outcomes & Epidemiology s.r.l., 80143 Naples, Italy.
Valeria ContiClinical Pharmacology and Pharmacogenetics Unit, University Hospital "San Giovanni di Dio e Ruggi d'Aragona", 84084 Salerno, Italy.
Graziamaria CorbiDepartment of Medicine and Health Sciences, "Vincenzo Tiberio", University of Molise, 86100 Campobasso, Italy.ORCID 0000-0002-3441-889X
Luigi Di GregorioParmenide Medical Cooperative, 84084 Salerno, Italy.
Pasquale DolceDepartment of Public Health, University of Naples "Federico II", 80138 Naples, Italy.ORCID 0000-0002-7588-6067
Marianna FogliaseccaLinkHealth Health Economics, Outcomes & Epidemiology s.r.l., 80143 Naples, Italy.
Teresa IannacconeClinical Pharmacology and Pharmacogenetics Unit, University Hospital "San Giovanni di Dio e Ruggi d'Aragona", 84084 Salerno, Italy.
Valentina ManzoClinical Pharmacology and Pharmacogenetics Unit, University Hospital "San Giovanni di Dio e Ruggi d'Aragona", 84084 Salerno, Italy.ORCID 0000-0002-4521-0453
Vincenzo PassaroParmenide Medical Cooperative, 84084 Salerno, Italy.
Bernardo ToraldoAlfasigma Italia, 40133 Bologna, Italy.
Alfredo ValenteDepartment of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, 84081 Baronissi, Italy.
Anna CitarellaLinkHealth Health Economics, Outcomes & Epidemiology s.r.l., 80143 Naples, Italy.
University of Salerno · ITAlfasigma (Italy) · ITUniversity of Molise · ITUniversity of Naples Federico II · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study explores which patient characteristics could affect the likelihood of starting low back pain (LBP) treatment with opioid analgesics vs. Non-Steroidal Anti-Inflammatory Drugs (NSAIDs) in an Italian primary care setting. Through the computerized medical records of 65 General Practitioners, non-malignant LBP subjects who received the first pain intensity measurement and an NSAID or opioid prescription, during 2015-2016, were identified. Patients with an opioid prescription 1-year before the first pain intensity measurement were excluded. A multivariable logistic regression model was used to determine predictive factors of opioid prescribing. Results were reported as Odds Ratios (ORs) with a 95% confidence interval (CI), with

Indexed as

lower back painnon-steroidal anti-inflammatory drugsopioidprimary care

Identifiers

PMID34441993
PMCPMC8397205
OpenAlexW3194426981

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.