ArticlePeerJ2026
A large number of variants of
Article in PeerJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
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Authors and funding
20 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Several methods exist for the molecular typing of diphtheria-causing bacteria, including core genome multilocus sequence typing (cgMLST). This study aims to provide an overview of the sequence types, virulence factors, and molecular resistances of Corynebacterium diphtheriae ( Methods: A total of 89 archived isolates of Results: Seventy out of eighty-nine samples qualified for analysis. Fifteen sequence types (STs) were identified: ST377 (24.3%), ST534 (44.3%) and others 31.4%. Approximately 50% of isolates predicted as Gravis biovar, based on Conclusion: This study demonstrates that Indonesia's 2010-2017 diphtheria outbreaks were caused by multiple strains, with ST534 and ST377 being the most prevalent. GC similarity suggests a link or disease transmission between various outbreaks across different regions /islands/countries and periods. ARGs were predominantly associated with phenicol, tetracycline, and sulfonamides resistances; only a few isolates exhibited ARGs linked to penicillin and erythromycin. Our analysis revealed correlations between STs and biovar or resistance profiles. We recommend to implement whole genome sequencing (WGS) for diphtheria surveillance in Indonesia.
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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.