Evidence map›Paper›PMID 24702466›Full record

ReviewClinical genetics2014

Clinical application of genetics to guide prevention and treatment of oral diseases.

K S Kornman, P J Polverini

Open access · hybridAbstract readReview
In one paragraph

Review in Clinical genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

12 citing papers in PubMed, 42 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Embracing Personalized Medicine in Dentistry.Journal of pharmacy & bioallied sciences · 2019
    Review
  9. Article
  10. Article
  11. Article
  12. 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

2 authors at 2 institutions in 1 country.

K S KornmanDepartment of R&D, Interleukin Genetics, Waltham, MA, USA.
P J Polverini
Seagen (United States) · USUniversity of Michigan–Ann Arbor · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dental care costs in the United States exceed $100 billion annually. Personalized medicine efforts in dentistry are driven by potentially compelling clinical utility and cost-effectiveness prospects in the major diseases of periodontitis, caries, and oral cancers. This review discusses progress and challenges identifying genetic markers and showing clinical utility in dentistry. Genome-wide association studies (GWAS) of chronic periodontitis (CP) identified no significant variants, but CDKN2BAS variants on chromosome 9 were significantly associated with aggressive periodontitis. Stratifying patients by interleukin (IL)-1 gene variants, smoking and diabetes differentiated CP prevention outcomes. Dental caries' GWAS identified significant signals in LYZL2, AJAp1, and KPNA4; and efforts are ongoing to identify genetic factors for multiple caries phenotypes. Trials of molecularly targeted therapies are in progress for oral, head, and neck squamous cell carcinomas (OHNSCC) and results have been promising but limited in their effectiveness. Current opportunities and challenges for molecular targeting for OHNSCC are discussed.

Indexed as

Genetic Variationalpha KaryopherinsCarcinoma, Squamous CellCell Adhesion MoleculesDental CariesGenetic MarkersGenome-Wide Association StudyHead and Neck NeoplasmsHumansInterleukin-1Mouth NeoplasmsMuramidasePeriodontitisPrecision MedicineRNA, Long NoncodingAJAP1 protein, humanalpha KaryopherinsCDKN2B antisense RNA, humanCell Adhesion MoleculesGenetic MarkersInterleukin-1KPNA4 protein, humanLYZL2 protein, humanMuramidaseRNA, Long Noncodingcariesgeneticsoral cancerperiodontitis

Identifiers

PMID24702466
PMCPMC4233973
OpenAlexW2123858877

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.