Evidence map›Paper›PMID 37892724›Full record

ArticleJournal of clinical medicine2023

Patterns of Opioid and Non-Opioid Analgesic Consumption in Patients with Post-COVID-19 Conditions.

Pilar Carrasco-Garrido, Domingo Palacios-Ceña, Valentín Hernández-Barrera, Isabel Jiménez-Trujillo, Carmen Gallardo-Pino, Cesar Fernández-de-Las-Peñas

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

6 authors.

Pilar Carrasco-GarridoDepartment of Medical Specialties and Public Health, Health Sciences Faculty, Universidad Rey Juan Carlos, Avenida Atenas s/n, Alcorcon, 28922 Madrid, Spain.ORCID 0000-0003-3000-6748
Domingo Palacios-CeñaDepartment of Physical Therapy, Occupational Therapy, Rehabilitation and Physical Medicine, Health Sciences Faculty, Universidad Rey Juan Carlos, Avenida Atenas s/n, Alcorcon, 28922 Madrid, Spain.ORCID 0000-0003-0669-6339
Valentín Hernández-BarreraDepartment of Medical Specialties and Public Health, Health Sciences Faculty, Universidad Rey Juan Carlos, Avenida Atenas s/n, Alcorcon, 28922 Madrid, Spain.
Isabel Jiménez-TrujilloDepartment of Medical Specialties and Public Health, Health Sciences Faculty, Universidad Rey Juan Carlos, Avenida Atenas s/n, Alcorcon, 28922 Madrid, Spain.ORCID 0000-0002-9394-6799
Carmen Gallardo-PinoDepartment of Medical Specialties and Public Health, Health Sciences Faculty, Universidad Rey Juan Carlos, Avenida Atenas s/n, Alcorcon, 28922 Madrid, Spain.
Cesar Fernández-de-Las-PeñasDepartment of Physical Therapy, Occupational Therapy, Rehabilitation and Physical Medicine, Health Sciences Faculty, Universidad Rey Juan Carlos, Avenida Atenas s/n, Alcorcon, 28922 Madrid, Spain.ORCID 0000-0003-3772-9690

Funding

Recursos REACT-UE del Programa Operativo de Madrid, Grant/Award Number: 2014-2020; Comunidad de Madrid y la Unión Europea. Grant/Award Number: 2014-2020
6 · The paper itself

Abstract

Pain is a major health issue for healthcare systems, and access to pain treatment is a fundamental human right. Pain is a common symptom experienced in the post-COVID phase by a significant percentage of patients. This study describes the prevalence and associated factors associated with the use of opioid and non-opioid analgesics in subjects with post-COVID-19 condition. Sociodemographic data, post-COVID symptoms, health profile, and opioid and non-opioid analgesic consumption were collected in 390 subjects with post-COVID-19 condition. We analyzed the independent effect of all variables on opioid/non-opioid analgesic consumption by using logistic multivariate regressions. The prevalence of opioid and non-opioid analgesic consumption was 24.1% and 82.3%, respectively. Tramadol (17.18%) and codeine (7.95%) were the most commonly used opioid analgesics, and Paracetamol (70%) and ibuprofen (45.4%) were the most commonly used non-opioid analgesics. Females were more likely to consume non-opioid analgesics (aOR2.20, 95%CI 1.15, 4.22) than males. Marital status of married/partner vs. single (aOR2.96; 95% CI 1.43, 6.12), monthly income < EUR 1000 VS. > EUR 2000 (aOR3.81; 95% CI 1.37, 10.61), number of post-COVID symptoms < 5 (aOR2.64, 95%CI 1.18, 5.87), and anxiolytics consumption (aOR 1.85, 95%CI 1.05, 3.25) were associated with a greater likelihood of opioid analgesic consumption. Age > 55 years (aOR3.30, 95%CI 1.34, 8.09) and anxiolytics consumption (aOR2.61, 95%CI 1.36, 4.98) were associated with a greater likelihood of non-opioid analgesic consumption. Opioid analgesic consumption was highly associated (aOR 3.41, 95%CI 1.27, 6.11) with non-opioid analgesic consumption. The prevalence of opioid analgesic and non-opioid analgesic consumption in individuals with post-COVID-19 condition was 24.1% and 82.3%. Females with post-COVID-19 condition showed higher non-opioid analgesic consumption than men. Predictors of opioid consumption were marital status, lower monthly income, number of post-COVID symptoms, and anxiolytic consumption. Older age and anxiolytic consumption were predictors of non-opioid consumption.

Indexed as

long-COVIDnon-opioidsopioidspredictors

Identifiers

PMID37892724
PMCPMC10607000

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.