ArticleMicroorganisms2026
Microbiological Analysis Following Periodontal Treatment in Individuals with Bronchiectasis.
Article in Microorganisms, 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.
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0 citing papers in PubMed.
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Authors and funding
11 authors.
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Abstract
Periodontal status has been associated with infection in lung diseases such as chronic obstructive lung disease (COPD). However, evidence regarding its association with bronchiectasis remains limited, despite the shared clinical and pathophysiological characteristics between the two conditions. Therefore, the aim of the present study was to investigate whether periodontal treatment affects not only the microbiota of saliva but also that of sputum and nasal secretions in individuals with bronchiectasis. This single-center, parallel-group randomized controlled clinical trial included forty-nine individuals with bronchiectasis, who were randomly allocated using a predefined randomization sequence with allocation concealment to a conventional group (
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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.