Evidence map›Paper›PMID 37729258›Full record

Observational studyJournal of applied oral science : revista FOB2023

Colonization dynamics of subgingival microbiota in recently installed dental implants compared to healthy teeth in the same individual: a 6-month prospective observational study.

Carina Maciel Silva-Boghossian, Pablo Torquilho Duarte, Denise Gome da Silva, Talita Gomes Baêta Lourenço, Ana Paula Vieira Colombo

Open access · diamondAbstract readObservational Study
In one paragraph

Observational study in Journal of applied oral science : revista FOB, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Oral Prevalence ofPathogens (Basel, Switzerland) · 2024
    Article
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

5 authors at 2 institutions in 1 country.

Carina Maciel Silva-BoghossianUniversidade Federal Rio de Janeiro, Faculdade de Odontologia, Departamento de Clínica Odontológica, Rio de Janeiro, Brasil.ORCID http://orcid.org/0000-0002-4500-4350
Pablo Torquilho DuarteUniversidade do Grande Rio, Programa de Pós-graduação em Odontologia, Duque de Caxias, Rio de Janeiro, Brasil.ORCID http://orcid.org/0009-0003-3324-2567
Denise Gome da SilvaUniversidade do Grande Rio, Programa de Pós-graduação em Odontologia, Duque de Caxias, Rio de Janeiro, Brasil.ORCID http://orcid.org/0009-0008-7925-0083
Talita Gomes Baêta LourençoUniversidade Federal do Rio de Janeiro, Instituto de Microbiologia Paulo de Góes, Departamento de Microbiologia Médica, Rio de Janeiro, Brasil.ORCID http://orcid.org/0000-0003-0966-3620
Ana Paula Vieira ColomboUniversidade Federal do Rio de Janeiro, Instituto de Microbiologia Paulo de Góes, Departamento de Microbiologia Médica, Rio de Janeiro, Brasil.ORCID http://orcid.org/0000-0002-2061-1840
Universidade Federal do Rio de Janeiro · BRUniversidade Unigranrio · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the colonization dynamics of subgingival microbiota established over six months around newly installed dental implants in periodontally healthy individuals, compared with their corresponding teeth. METHODOLOGY: Seventeen healthy individuals assigned to receive single dental implants participated in the study. Subgingival biofilm was sampled from all implant sites and contralateral/ antagonist teeth on days 7, 30, 90, and 180 after implant installation. Microbiological analysis was performed using the Checkerboard DNA-DNA hybridization technique for detection of classical oral taxa and non-oral microorganisms. Significant differences were estimated by Mann-Whitney and Friedman tests, while associations between implants/teeth and target species levels were assessed by linear regression analysis (LRA). Significance level was set at 5%.

resultsLevels of some species were significantly higher in teeth compared to implants, respectively, at day 7 ( V.parvula , 6 × 10 5 vs 3 × 105 ; Milleri streptococci , 2 × 10 6 vs 6 × 10 5 ; Capnocytophaga spp., 2 × 10 6 vs 9 × 10 5 ; E.corrodens , 2 × 10 6 vs 5 × 10 5 ; N. mucosa , 2 × 10 6 vs 5 × 10 5 ; S.noxia , 2 × 10 6 vs 3 × 10 5 ; T.socranskii , 2 × 10 6 vs 5 × 10 5 ; H.alvei , 4 × 10 5 vs 2 × 10 5 ; and Neisseria spp., 6 × 10 5 vs 4 × 10 4 ), day 30 ( V.parvula , 5 × 10 5 vs 10 5 ; Capnocytophaga spp., 1.3 × 10 6 vs 6.8 × 10 4 ; F.periodonticum , 2 × 10 6 vs 10 6 ; S.noxia , 6 × 10 5 vs 2 × 10 5 ; H.alvei , 8 × 10 5 vs 9 × 10 4 ; and Neisseria spp., 2 × 10 5 vs 10 6 ), day 120 ( V.parvula , 8 × 10 5 vs 3 × 10 5 ; S.noxia , 2 × 10 6 vs 0; and T.socranskii , 3 × 10 5 vs 8 × 10 4 ), and day 180 ( S.enterica subsp. enterica serovar Typhi, 8 × 10 6 vs 2 × 10 6 ) (p<0.05). Implants showed significant increases over time in the levels of F.nucleatum , Gemella spp., H.pylori , P.micra , S.aureus , S.liquefaciens , and T.forsythia (p<0.05). LRA found that dental implants were negatively correlated with high levels of S. noxia and V. parvula (β=-0.5 to -0.3; p<0.05).

conclusionsEarly submucosal microbiota is diverse and only a few species differ between teeth and implants in the same individual. Only 7 days after implant installation, a rich microbiota can be found in the peri-implant site. After six months of evaluation, teeth and implants show similar prevalence and levels of the target species, including known and new periodontopathic species.

Indexed as

Dental ImplantsHelicobacter pyloriMicrobiotaBiofilmsDNAHumansDental ImplantsDNA

Identifiers

PMID37729258
PMCPMC10519670
OpenAlexW4386831702

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.