ReviewJournal of global health2020
Antimicrobial resistance and over the counter use of drugs in Nepal.
Review in Journal of global health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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.
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.
Who cites it
31 citing papers in PubMed.
- Antimicrobial resistance as a multicultural challenge: a decolonized approach to science communication in the Global South.JAC-antimicrobial resistance · 2026Review
- Institutional Readiness and Diagnostic Challenges for the Management of Pyrexia of Unknown Origin (PUO) in Nepal: A Mixed-Methods Study at Tertiary Level Hospitals.Research square · 2026Article
- Community engagement strategies for antimicrobial resistance control and interventions.BMJ public health · 2026Review
- Article
- Antimicrobial use for influenza-like illnesses in Nha Trang, Vietnam: a cross-sectional study.BMJ open · 2025Observational
- Over the counter use of topical corticosteroid for skin conditions among patients before attending skin specialist clinic in Nepal: A qualitative study.PLOS global public health · 2025Article
- Antibiotic prescription patterns in the emergency department of a tertiary healthcare center in Nepal: a descriptive cross-sectional study.The Journal of international medical research · 2024Article
- Exploring community insights on antimicrobial resistance in Nepal: a formative qualitative study.BMC health services research · 2024Article
- Article
- Drivers of antimicrobial resistance within the communities of Nepal from One Health perspective: a scoping review.Frontiers in public health · 2024Article
- Urogenital pathogens in urine samples of clinically diagnosed urinary tract infected patients in Tanzania: A laboratory based cross-sectional study.IJID regions · 2023Article
- Antibiotics Prescription, Dispensing Practices and Antibiotic Resistance Pattern in Common Pathogens in Nepal: A Narrative Review.Microbiology insights · 2023Review
- Article
- Use of antimicrobials during the COVID-19 pandemic: A qualitative study among stakeholders in Nepal.PLOS global public health · 2023Article
- Antimicrobial resistance in bacteria isolated from the poultry production system in Nepal.Public health action · 2022Article
- One Health approaches adapted in low resource settings to address antimicrobial resistance.Science in One Health · 2022Review
- Detection of NDM Variants (Infection and drug resistance · 2022Article
- Prevalence of methicillin-resistantPublic health action · 2021Article
- Use of antimicrobials and antimicrobial resistance in Nepal: a nationwide survey.Scientific reports · 2021Article
- Why do people purchase antibiotics over-the-counter? A qualitative study with patients, clinicians and dispensers in central, eastern and western Nepal.BMJ global health · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.