Evidence map›Paper›PMID 33720954›Full record

ArticlePloS one2021

Microbial population shift and metabolic characterization of silver diamine fluoride treatment failure on dental caries.

Bidisha Paul, Maria A Sierra, Fangxi Xu, Yasmi O Crystal, Xin Li, Deepak Saxena, Ryan Richard Ruff

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Review
  5. Review
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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

7 authors.

Bidisha PaulDepartment of Molecular Pathobiology, New York University College of Dentistry, New York, New York, United States of America.
Maria A SierraDepartment of Molecular Pathobiology, New York University College of Dentistry, New York, New York, United States of America.
Fangxi XuDepartment of Molecular Pathobiology, New York University College of Dentistry, New York, New York, United States of America.
Yasmi O CrystalDepartment of Pediatric Dentistry, New York University College of Dentistry, New York, New York, United States of America.
Xin LiDepartment of Molecular Pathobiology, New York University College of Dentistry, New York, New York, United States of America.
Deepak SaxenaDepartment of Molecular Pathobiology, New York University College of Dentistry, New York, New York, United States of America.
Ryan Richard RuffDepartment of Epidemiology and Health Promotion, New York University College of Dentistry, New York, New York, United States of America.ORCID 0000-0003-0731-5614

Funding

The role of the oral microbiome in disparities in dental caries and responsiveness to caries preventionR56DE028933 · NIDCR · NEW YORK UNIVERSITY · PI RUFF, RYAN RICHARD, SAXENA, DEEPAK · 2020 to 2020
$517k
NIDCR NIH HHS R56 DE028933
6 · The paper itself

Abstract

The objective of this pilot study was to describe the microbial profiles present in the plaque and saliva of children who continued to develop new carious lesions following treatment with silver diamine fluoride ("nonresponders") compared to caries active, caries-free, and children immediately receiving SDF treatment for untreated caries in order to identify potential microbial differences that may relate to a re-incidence of caries. Saliva and plaque samples from infected and contralateral sites were obtained from twenty children who were either caries free, had active carious lesions, were caries active and received SDF treatment immediately before sampling, or had previously received SDF treatment and developed new caries. In total, 8,057,899 Illumina-generated sequence reads from 60 samples were obtained. Reads were processed using the Quantitative Insights Into Microbial Ecology pipeline. Group differences were assessed using Analysis of Variance Models and Tukey Honest Significant Differences. To identify significant taxa between treatment groups, Linear discriminant analysis Effect Size (LefSe) and Analysis of Differential Abundance Taking Sample Variation Into Account were used. Differential abundant analysis indicated that members of the Lachnospiraceae family were significantly enriched in non-responders and the genus Tannerella and species Granulicatella adiances were also highly abundant in this group. LefSe analysis between non-responders and SDF-treated groups revealed that genera Leptotrichia and Granulicatella were enriched in non-responders. We observed the highest abundance of phosphotransferase system and lowest abundance of lipopolysaccharide synthesis in non-responders. The microbiome in dental biofilms is responsible for initiation and progression of dental caries. SDF has been shown to be effective in arresting the progression carious lesions, in part due to its antimicrobial properties. Findings suggest that the differential abundance of select microbiota and specific pathway functioning in individuals that present with recurrent decay after SDF treatment may contribute to a potential failure of silver diamine fluoride to arrest dental caries. However, the short duration of sample collection following SDF application and the small sample size emphasize the need for further data and additional analysis.

Indexed as

MicrobiotaCarnobacteriaceaeChildCross-Sectional StudiesDental CariesDental PlaqueDiscriminant AnalysisDNA, BacterialFluorides, TopicalHumansLeptotrichiaPilot ProjectsPrincipal Component AnalysisQuaternary Ammonium CompoundsSalivaSequence Analysis, DNADNA, BacterialFluorides, TopicalQuaternary Ammonium CompoundsSilver Compoundssilver diamine fluoride

Identifiers

PMID33720954
PMCPMC7959385

What OpenQuestion holds

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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.