Evidence map›Paper›PMID 40468262›Full record

SynthesisBMC pediatrics2025

Prevalence and associated factors of self-medication with antibiotics among pediatric population in India: a systematic review and meta-analysis.

Tambe Daniel Atem, Ruby Singh, Dorothy Newbury-Birch, Biplab Pal, Vaibhav Chaudhary

Abstract readSystematic Review
In one paragraph

Synthesis in BMC pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Tambe Daniel AtemSchool of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab, India. danielatem59@gmail.com.
Ruby SinghDepartment of Pediatrics, Christian Medical College and Hospital, Ludhiana, Punjab, India.
Dorothy Newbury-BirchSchool of Social Sciences, Humanities and Law, Teesside University, Middlesbrough, UK.
Biplab PalSchool of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab, India. biplab2006pal@gmail.com.
Vaibhav ChaudharySchool of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntibiotic resistance presents a substantial threat to global public health. One of the primary contributors to antibiotic resistance is the irrational use of antibiotics. This study aimed to comprehensively assess the prevalence and associated factors of antibiotic self-medication (ASM) practices among the pediatric population in India.

methodsA comprehensive search was conducted in PubMed, Embase, Scopus, and Google Scholar to identify relevant articles published up to December 2024. Inclusion criteria included studies reporting the prevalence rate of ASM practices among the pediatric population in India. Quality assessment of the included studies was conducted using the JBI tool for prevalence studies. Data were extracted using a standardized form and analyzed using R software with a random-effects model.

resultsSeventeen studies involving 7847 children were analyzed. The pooled prevalence of pediatric ASM in India was 19.8% (95% CI: 13.5; 28.2; I

conclusionSelf-medication with antibiotics was prevalent among the pediatric population in India. Therefore, government and policymakers should take necessary measures to promote the responsible use of antibiotics.

Indexed as

Anti-Bacterial AgentsSelf MedicationChildHumansIndiaPrevalenceAnti-Bacterial AgentsAntibioticsChildrenEpidemiologyIndiaPediatricSelf-medication

Identifiers

PMID40468262
PMCPMC12135438

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.