Evidence map›Paper›PMID 28253297›Full record

ArticlePloS one2017

Salivary inflammatory markers and microbiome in normoglycemic lean and obese children compared to obese children with type 2 diabetes.

Waleed F Janem, Frank A Scannapieco, Amarpeet Sabharwal, Maria Tsompana, Harvey A Berman, Elaine M Haase, Jeffrey C Miecznikowski, Lucy D Mastrandrea

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 50 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 3 pooled it
7.3field-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

50 citing papers in PubMed, 3 syntheses or guidelines pooled it, 87 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Timing of food intake impacts daily rhythms of human salivary microbiota: a randomized, crossover study.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2018
    Trial
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. A REVIEW OF SALIVARY BIOMARKERS OF PERIODONTAL DISEASE.Annals of Ibadan postgraduate medicine · 2024
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Waleed F JanemDepartment of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, United States of America.
Frank A ScannapiecoDepartment of Oral Biology, School of Dental Medicine, University at Buffalo, Buffalo, NY, United States of America.
Amarpeet SabharwalDepartment of Oral Biology, School of Dental Medicine, University at Buffalo, Buffalo, NY, United States of America.
Maria TsompanaDepartment of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, United States of America.
Harvey A BermanDepartment of Pharmacology and Toxicology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, United States of America.
Elaine M HaaseDepartment of Oral Biology, School of Dental Medicine, University at Buffalo, Buffalo, NY, United States of America.
Jeffrey C MiecznikowskiDepartment of Biostatistics, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, United States of America.
Lucy D MastrandreaDepartment of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, United States of America.
University at Buffalo, State University of New York · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is emerging evidence linking diabetes with periodontal disease. Diabetes is a well-recognized risk factor for periodontal disease. Conversely, pro-inflammatory molecules released by periodontally-diseased tissues may enter the circulation to induce insulin resistance. While this association has been demonstrated in adults, there is little information regarding periodontal status in obese children with and without type 2 diabetes (T2D). We hypothesized that children with T2D have higher rates of gingivitis, elevated salivary inflammatory markers, and an altered salivary microbiome compared to children without T2D.

methodsThree pediatric cohorts ages 10-19 years were studied: lean (normal weight-C), obese (Ob), and obese with T2D (T2D). Each subject completed an oral health survey, received a clinical oral examination, and provided unstimulated saliva for measurement of inflammatory markers and microbiome analysis.

resultsThe diabetes group was less likely to have had a dental visit within the last six months. Body mass index (BMI) Z-scores and waist circumference/height ratios were similar between Ob and T2D cohorts. The number of carious lesions and fillings were similar for all three groups. The gingival index was greater in the T2D group compared to the Ob and C groups. Although salivary microbial diversity was minimal between groups, a few differences in bacterial genus composition were noted.

conclusionsObese children with T2D show a trend toward poorer oral health compared to normal weight and obese children without T2D. This study characterizes the salivary microbiome of children with and without obesity and T2D. This study supports a modest link between T2D and periodontal inflammation in the pediatric population.

Indexed as

MicrobiotaAdolescentBiomarkersBlood GlucoseCase-Control StudiesChildCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleHumansInflammationMalePediatric ObesitySalivary GlandsYoung AdultBiomarkersBlood Glucose

Identifiers

PMID28253297
PMCPMC5333807
OpenAlexW4232490393

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.