FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2017133098> ?p ?o ?g. }

• W2017133098 endingPage "21" @default.
• W2017133098 startingPage "13" @default.
• W2017133098 abstract "Abstract Objective To compare the prevalence and levels of six bacterial pathogens within the subgingival/submucosal microbiota at teeth versus implants with various clinical conditions. Material and methods Twenty‐two Chinese were included. Four subgingival/submucosal sites were selected for microbiological sampling within each subject, that is, (1) healthy peri‐implant tissues; (2) peri‐implantitis [ PPD ≥ 5 mm, presence of bleeding on probing ( BOP ) and confirmed radiographic bone loss]; (3) healthy gingiva; and (4) periodontitis ( PPD ≥4 mm). Subgingival/submucosal plaque was sampled using paper points. Quantitative real‐time polymerase chain reaction (q‐ PCR ) was used to quantify six pathogens, including Porphyromonas gingivalis (P.g.) , Treponema denticola (T.d.), Aggregatibacter actinomycetemcomitans (A.a.), Fusobacterium nucleatum (F.n.), Prevotella intermedia (P.i.), and Staphylococcus aureus (S.a.) . Counts were log10‐transformed. Results The most commonly detected species were S. a . and F. n ., while A. a . and. P. i . had the lowest detection frequency. The detection frequencies of diseased tooth or implant sites for each of the six target species were either equal to or higher than the respective frequencies at the corresponding healthy sites. There were no statistically significant differences for any of the species or clinical sites ( P > 0.05, Cochran's Q test). No statistically significant differences in the bacterial loads were found among the four clinical sites; with the exception of F. nucleatum . This was more abundant in periodontitis sites ( P = 0.023, Friedman's 2‐way anova ). Both periodontal and peri‐implant sites, irrespective of their health status, were revealed to harbor S. aureus cells. The log10‐transformed loads of S. aureus were approximately 3.5 within each of the clinical sites ( P = 0.232). This was the highest of the six species analyzed. Conclusions Within the same subjects, putative periodontal pathogens were common to both periodontal and peri‐implant sites irrespective of health status. The prevalence and levels of P. gingivalis and F. nucleatum were significantly associated with periodontitis, but not with peri‐implantitis. A. actinomycetemcomitans was associated with both disease conditions, periodontitis and peri‐implantitis, but not with either gingival or mucosal health." @default.
• W2017133098 created "2016-06-24" @default.
• W2017133098 creator A5009922018 @default.
• W2017133098 creator A5021699693 @default.
• W2017133098 creator A5070999275 @default.
• W2017133098 creator A5073952077 @default.
• W2017133098 creator A5074135502 @default.
• W2017133098 creator A5084452813 @default.
• W2017133098 date "2014-11-14" @default.
• W2017133098 modified "2023-10-16" @default.
• W2017133098 title "Periodontal and peri-implant microbiota in patients with healthy and inflamed periodontal and peri-implant tissues" @default.
• W2017133098 cites W1908716399 @default.
• W2017133098 cites W1914197665 @default.
• W2017133098 cites W1940402643 @default.
• W2017133098 cites W1940818277 @default.
• W2017133098 cites W1962223937 @default.
• W2017133098 cites W1966599578 @default.
• W2017133098 cites W1972917199 @default.
• W2017133098 cites W1979164497 @default.
• W2017133098 cites W1985356521 @default.
• W2017133098 cites W2000811260 @default.
• W2017133098 cites W2015023259 @default.
• W2017133098 cites W2016186841 @default.
• W2017133098 cites W2019815368 @default.
• W2017133098 cites W2019848149 @default.
• W2017133098 cites W2021792184 @default.
• W2017133098 cites W2030789147 @default.
• W2017133098 cites W2035217556 @default.
• W2017133098 cites W2036992085 @default.
• W2017133098 cites W2062427347 @default.
• W2017133098 cites W2069375246 @default.
• W2017133098 cites W2075352869 @default.
• W2017133098 cites W2077934445 @default.
• W2017133098 cites W2078624499 @default.
• W2017133098 cites W2088769800 @default.
• W2017133098 cites W2093577249 @default.
• W2017133098 cites W2095237953 @default.
• W2017133098 cites W2099410624 @default.
• W2017133098 cites W2103456695 @default.
• W2017133098 cites W2106201922 @default.
• W2017133098 cites W2107228383 @default.
• W2017133098 cites W2108094670 @default.
• W2017133098 cites W2111034501 @default.
• W2017133098 cites W2111171596 @default.
• W2017133098 cites W2112798873 @default.
• W2017133098 cites W2116264376 @default.
• W2017133098 cites W2119340295 @default.
• W2017133098 cites W2119764574 @default.
• W2017133098 cites W2120393563 @default.
• W2017133098 cites W2132706065 @default.
• W2017133098 cites W2133096678 @default.
• W2017133098 cites W2133475573 @default.
• W2017133098 cites W2135255925 @default.
• W2017133098 cites W2143947902 @default.
• W2017133098 cites W2145287149 @default.
• W2017133098 cites W2148689027 @default.
• W2017133098 cites W2152725750 @default.
• W2017133098 cites W2157053372 @default.
• W2017133098 cites W2157107389 @default.
• W2017133098 cites W2163766559 @default.
• W2017133098 cites W2164889210 @default.
• W2017133098 cites W2166790350 @default.
• W2017133098 cites W2168004636 @default.
• W2017133098 cites W2169885788 @default.
• W2017133098 cites W2171031568 @default.
• W2017133098 cites W2171512512 @default.
• W2017133098 cites W4232977602 @default.
• W2017133098 cites W4233957377 @default.
• W2017133098 doi "https://doi.org/10.1111/clr.12508" @default.
• W2017133098 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25399962" @default.
• W2017133098 hasPublicationYear "2014" @default.
• W2017133098 type Work @default.
• W2017133098 sameAs 2017133098 @default.
• W2017133098 citedByCount "98" @default.
• W2017133098 countsByYear W20171330982015 @default.
• W2017133098 countsByYear W20171330982016 @default.
• W2017133098 countsByYear W20171330982017 @default.
• W2017133098 countsByYear W20171330982018 @default.
• W2017133098 countsByYear W20171330982019 @default.
• W2017133098 countsByYear W20171330982020 @default.
• W2017133098 countsByYear W20171330982021 @default.
• W2017133098 countsByYear W20171330982022 @default.
• W2017133098 countsByYear W20171330982023 @default.
• W2017133098 crossrefType "journal-article" @default.
• W2017133098 hasAuthorship W2017133098A5009922018 @default.
• W2017133098 hasAuthorship W2017133098A5021699693 @default.
• W2017133098 hasAuthorship W2017133098A5070999275 @default.
• W2017133098 hasAuthorship W2017133098A5073952077 @default.
• W2017133098 hasAuthorship W2017133098A5074135502 @default.
• W2017133098 hasAuthorship W2017133098A5084452813 @default.
• W2017133098 hasConcept C141071460 @default.
• W2017133098 hasConcept C199343813 @default.
• W2017133098 hasConcept C2776895894 @default.
• W2017133098 hasConcept C2777349128 @default.
• W2017133098 hasConcept C2777422794 @default.
• W2017133098 hasConcept C2777968807 @default.
• W2017133098 hasConcept C2778714489 @default.
• W2017133098 hasConcept C2780183776 @default.

• next