Evidence map›Paper›PMID 24688554›Full record

ReviewDental research journal2014

Salivaomics - A promising future in early diagnosis of dental diseases.

Suneetha Koneru, Rambabu Tanikonda

Abstract readReview
In one paragraph

Review in Dental research journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
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

18 citing papers in PubMed.

  1. Article
  2. Review
  3. Salivary biomarkers: a promising approach for predicting immunotherapy response in head and neck cancers.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Review
  4. Review
  5. Review
  6. Effects ofJournal of Taibah University Medical Sciences · 2024
    Article
  7. Review
  8. Review
  9. Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Emerging technologies for salivaomics in cancer detection.Journal of cellular and molecular medicine · 2017
    Review
  17. Saliva diagnostics - Current views and directions.Experimental biology and medicine (Maywood, N.J.) · 2017
    Review
  18. Review
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.

Suneetha KoneruDepartment of Periodontics, Vishnu Dental College, Bhimavaram, Andhra Pradesh, India.
Rambabu TanikondaDepartment of Conservative Dentistry and Endodontics, Vishnu Dental College, Bhimavaram, Andhra Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human saliva plays an important role in the health of the oral cavity and of the body as a whole. Salivary diagnostics is a dynamic and emerging field in the diagnosis of oral and systemic diseases. Saliva reflects the physiologic state of the body, including emotional, endocrinal, nutritional, and metabolic variations. The collection of saliva samples is noninvasive, safe, and inexpensive. Traditional clinical criteria are insufficient for determining sites of active disease, for monitoring the response to therapy, or for measuring the degree of susceptibility to future disease progression. Salivaomics includes five diagnostic alphabets proteins, mRNAs, miRNAs, metabolic compounds, and microbes offering substantial advantages because disease states may be accompanied by detectable changes. Salivaomics, the future of saliva-based techniques for early diagnosis of dental diseases, is promising and may offer a robust alternative for clinicians to use in the near future to make clinical decisions.

Indexed as

Biomarkermicrobiomeproteomesalivatranscriptome

Identifiers

PMID24688554
PMCPMC3955304

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.