SynthesisBMC infectious diseases2026
The use of WHONET for antimicrobial resistance surveillance: a systematic review.
Synthesis in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled 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.
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
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The use of WHONET for antimicrobial resistance surveillance: a systematic review.BMC infectious diseases · 2026Pooled it
- A retrospective analysis of pathogen distribution and antimicrobial resistance trends of bacteria in a tertiary hospital in China, 2021-2025.Frontiers in cellular and infection microbiology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Antimicrobial Resistance (AMR) is a global public health threat. Several surveillance systems/networks were established to provide critical data to detect resistance patterns, guide treatments, and inform policies to mitigate AMR’s public health impact. WHONET software was developed in 1989 as a free software that manages and analyses microbiology laboratory data, entirely dedicated to antimicrobial susceptibility test results. A systematic search was conducted in five electronic databases, PubMed, ScienceDirect, Web of Science, Scopus, and Embase, from their inception until December 31st, 2024. It included all articles that reported using WHONET. From the initial 4,636 articles retrieved, 511 were included. Most studies were cross-sectional or prevalence studies (72.4%), with the majority utilizing secondary data sources (83.2%). Articles included data from 110 countries, with the highest amount coming from China, and the number of publications increased over time. Additionally, most articles included data from 2 to 3 years before publication. Of the 2160 organisms examined across the studies, Enterobacterales (43.8%), Staphylococcus spp. (12.5%) and Pseudomonas spp. (9.3%) were the most covered microorganisms. In conclusion, the review highlights the growing interest in WHONET and AMR. WHONET’s ability to leverage routine and secondary data for AMR monitoring is advantageous compared to other systems. However, expanding WHONET’s application and integrating advanced analytics are essential for enhancing its role in a comprehensive One Health approach to combat AMR, particularly in LMICs.
Indexed as
Identifiers
What Socratic 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 Socratic graph.