Evidence map›Paper›PMID 35867923›Full record

ArticleBiomedica : revista del Instituto Nacional de Salud2022

Study of the indications for macrolide prescriptions in a Colombian population

Luis Fernando Valladales-Restrepo, Camilo Alexander Constain-Mosquera, María Alejandra Hoyos-Guapacha, Karol Liceth Hoyos-Guapacha, Andrés Gaviria-Mendoza, Manuel Enrique Machado-Duque, Jorge Enrique Machado-Alba

Abstract read
In one paragraph

Article in Biomedica : revista del Instituto Nacional de Salud, 2022. 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. Review
  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

7 authors.

Luis Fernando Valladales-RestrepoGrupo de Investigación en Farmacoepidemiología y Farmacovigilancia, Universidad Tecnológica de Pereira-Audifarma S.A., Pereira, Colombia; Grupo de Investigación en Biomedicina, Facultad de Medicina, Fundación Universitaria Autónoma de las Américas, Pereira, Colombia; Semillero de Investigación en Farmacología Geriátrica, Facultad de Medicina, Fundación Universitaria Autónoma de las Américas, Pereira, Colombia. biomedica@ins.gov.co.
Camilo Alexander Constain-MosqueraSemillero de Investigación en Farmacología Geriátrica, Facultad de Medicina, Fundación Universitaria Autónoma de las Américas, Pereira, Colo. biomedica@ins.gov.co.
María Alejandra Hoyos-GuapachaGrupo de Investigación en Farmacoepidemiología y Farmacovigilancia, Universidad Tecnológica de Pereira-Audifarma S.A., Pereira, Colombia. biomedica@ins.gov.co.
Karol Liceth Hoyos-GuapachaGrupo de Investigación en Farmacoepidemiología y Farmacovigilancia, Universidad Tecnológica de Pereira-Audifarma S.A., Pereira, Colombia. biomedica@ins.gov.co.
Andrés Gaviria-MendozaGrupo de Investigación en Farmacoepidemiología y Farmacovigilancia, Universidad Tecnológica de Pereira-Audifarma S.A., Pereira, Colombia; Grupo de Investigación en Biomedicina, Facultad de Medicina, Fundación Universitaria Autónoma de las Américas, Pereira, Colombia. biomedica@ins.gov.co.
Manuel Enrique Machado-DuqueGrupo de Investigación en Farmacoepidemiología y Farmacovigilancia, Universidad Tecnológica de Pereira-Audifarma S.A., Pereira, Colombia; Grupo de Investigación en Biomedicina, Facultad de Medicina, Fundación Universitaria Autónoma de las Américas, Pereira, Colombia. biomedica@ins.gov.co.
Jorge Enrique Machado-AlbaGrupo de Investigación en Farmacoepidemiología y Farmacovigilancia, Universidad Tecnológica de Pereira-Audifarma S.A., Pereira, Colombia. machado@utp.edu.co.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The inappropriate use of antibiotics is associated with a greater risk for antimicrobial resistance, high health care costs, adverse events, and worse clinical outcomes. Objective: To determine the prescription patterns and approved and nonapproved indications for macrolides in a group of patients from Colombia. Materials and methods: This was a cross-sectional study on the indications for the use of macrolides in outpatients registered in a drug-dispensing database of approximately 8.5 million people affiliated with the Colombian health system. Sociodemographic, pharmacological, and clinical variables were considered. Results: A total of 9.344 patients had received a macrolide prescription; their median age was 40.1 years (interquartile range: 27.1-53.3 years) and 58.3% were women. The most commonly prescribed macrolide was azithromycin (38.8%) most frequently for Helicobacter pylori infection (15.9%) and pneumonia treatment (15.8%). A total of 31.3% of the prescriptions were used for unapproved indications: common cold (7.8%), COVID-19 (4.0%), and acute bronchitis (3.5%). Residence in the Caribbean region (OR=1.17; 95%CI 1.05-1.31), dental prescriptions (OR=2.75; 95%CI 1.91-3.96), presence of chronic respiratory comorbidities (OR=1.30; 95%CI 1.08-1.56), and prescription of erythromycin (OR=3.66; 95%CI 3.24-4.14) or azithromycin (OR=2.15; 95%CI 1,92-2.41) were associated with a higher probability of macrolide use for unapproved indications while being 18-64 years old (OR=0.81; 95%CI 0.71-0.93) or 65 years or older (OR=0.77; 95%CI 0.63-0.94) and residing in Bogotá-Cundinamarca (OR=0.74; 95%CI 0.65-0.85) were associated with reduced risk. Conclusions: Most patients received macrolides for respiratory tract infections; erythromycin and azithromycin were used for unapproved indications in people under 18 years of age and those with chronic respiratory diseases.

Indexed as

COVID-19ColombiaHumansRetrospective StudiesazithromycinColombiacoronavirus infectionsinappropriate prescribingMacrolidespharmacoepidemiologypneumonia

Identifiers

PMID35867923
PMCPMC9433087

What OpenQuestion holds

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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.