Evidence map›Paper›PMID 32286907›Full record

ReviewJournal of dental research2020

Profiling of Oral Bacterial Communities.

W G Wade, E M Prosdocimi

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of dental research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 3 pooled it
7.0field-weighted citation impact, top 2% of its field
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

48 citing papers in PubMed, 3 syntheses or guidelines pooled it, 75 citations in OpenAlex.

  1. Pooled it
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  3. Meta-Analysis Using NGS Data: TheFrontiers in oral health · 2021
    Pooled it
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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

2 authors at 1 institution in 1 country.

W G WadeCentre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, UK.
E M ProsdocimiCentre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, UK.
King's College London · GB

Funding

Mouse Oral Microbiome DatabaseR37DE016937 · NIDCR · ADA FORSYTH INSTITUTE, INC. · PI DEWHIRST, FLOYD E · 2011 to 2020
$8.6M
Cloud-Based Machine Learning and Biomarker Visual Analytics for Salivary ProteomicsR01DE016937 · NIDCR · ADA FORSYTH INSTITUTE, INC. · PI DEWHIRST, FLOYD E, MARK WELCH, JESSICA LEIGH · 2021 to 2025
$6.7M
NIDCR NIH HHS R01 DE016937NIDCR NIH HHS R37 DE016937
6 · The paper itself

Abstract

The profiling of bacterial communities by the sequencing of housekeeping genes such as that encoding the small subunit ribosomal RNA has revealed the extensive diversity of bacterial life on earth. Standard protocols have been developed and are widely used for this application, but individual habitats may require modification of methods. This review discusses the sequencing and analysis methods most appropriate for the study of the bacterial component of the human oral microbiota. If possible, DNA should be extracted from samples soon after collection. If samples have to be stored for practical reasons, precautions to avoid DNA degradation on freezing should be taken. A critical aspect of profiling oral bacterial communities is the choice of region of the 16S rRNA gene for sequencing. The V1-V2 region provides the best discrimination between species of the genus

Indexed as

MicrobiotaPhylogenyBacteriaDNA, BacterialHigh-Throughput Nucleotide SequencingHumansMouthRNA, Ribosomal, 16SSequence Analysis, DNADNA, BacterialRNA, Ribosomal, 16Scariesdentistryecologygingivitismicrobiomeperiodontitis

Identifiers

PMID32286907
PMCPMC7243418
OpenAlexW3015759793

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.