Evidence map›Paper›PMID 34727126›Full record

SynthesisPloS one2021

Self-medication practices to prevent or manage COVID-19: A systematic review.

Alvaro Quincho-Lopez, Christeam A Benites-Ibarra, Maryori M Hilario-Gomez, Renatta Quijano-Escate, Alvaro Taype-Rondan

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 2 pooled it
12.9field-weighted citation impact, top 1% 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

56 citing papers in PubMed, 2 syntheses or guidelines pooled it, 115 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Pattern of antibiotic use among children caregivers: a cross-sectional study.The Journal of the Egyptian Public Health Association · 2024
    Article
  14. Observational
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Observational
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

5 authors at 4 institutions in 1 country.

Alvaro Quincho-LopezUniversidad Nacional Mayor de San Marcos, Sociedad Científica de San Fernando, Lima, Peru.
Christeam A Benites-IbarraSociedad Científica de Estudiantes de Medicina de la Universidad Nacional del Santa, Nuevo Chimbote, Ancash, Peru.ORCID 0000-0002-4213-5048
Maryori M Hilario-GomezUniversidad Nacional Mayor de San Marcos, Sociedad Científica de San Fernando, Lima, Peru.
Renatta Quijano-EscateUniversidad Nacional San Luis Gonzaga, Sociedad Científica de Estudiantes de Medicina de Ica, Ica, Peru.
Alvaro Taype-RondanUniversidad San Ignacio de Loyola, Unidad de Investigación Para la Generación y Síntesis de Evidencias en Salud, Lima, Peru.ORCID 0000-0001-8758-0463
National University of San Marcos · PESaint Aloysius Gonzaga National University · PEUniversidad Nacional del Santa · PEUniversidad San Ignacio de Loyola · PE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies have assessed the prevalence and characteristics of self-medication in COVID-19. However, no systematic review has summarized their findings.

objectiveWe conducted a systematic review to assess the prevalence of self-medication to prevent or manage COVID-19.

methodsWe used different keywords and searched studies published in PubMed, Scopus, Web of Science, Embase, two preprint repositories, Google, and Google Scholar. We included studies that reported original data and assessed self-medication to prevent or manage COVID-19. The risk of bias was assessed using the Newcastle-Ottawa Scale (NOS) modified for cross-sectional studies.

resultsWe identified eight studies, all studies were cross-sectional, and only one detailed the question used to assess self-medication. The recall period was heterogeneous across studies. Of the eight studies, seven assessed self-medication without focusing on a specific symptom: four performed in the general population (self-medication prevalence ranged between <4% to 88.3%) and three in specific populations (range: 33.9% to 51.3%). In these seven studies, the most used medications varied widely, including antibiotics, chloroquine or hydroxychloroquine, acetaminophen, vitamins or supplements, ivermectin, and ibuprofen. The last study only assessed self-medication for fever due to COVID-19. Most studies had a risk of bias in the "representativeness of the sample" and "assessment of outcome" items of the NOS.

conclusionsStudies that assessed self-medication for COVID-19 found heterogeneous results regarding self-medication prevalence and medications used. More well-designed and adequately reported studies are warranted to assess this topic.

Indexed as

COVID-19 Drug TreatmentAntiviral AgentsCOVID-19Cross-Sectional StudiesFeverHumansPrevalenceSelf MedicationAntiviral Agents

Identifiers

PMID34727126
PMCPMC8562851
OpenAlexW3208326175

What Socratic 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 Socratic graph.