Evidence map›Paper›PMID 30712193›Full record

SynthesisPathology oncology research : POR2019

Saliva as a Diagnostic Tool in Oral Squamous Cell Carcinoma - a Systematic Review with Meta Analysis.

K Hema Shree, Pratibha Ramani, Herald Sherlin, Gheena Sukumaran, Gifrrina Jeyaraj, K R Don, Archana Santhanam, Abilasha Ramasubramanian, R Sundar

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Pathology oncology research : POR, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 4 pooled it
–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

21 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. New Frontiers in Autoimmune Diagnostics: A Systematic Review on Saliva Testing.International journal of environmental research and public health · 2023
    Pooled it
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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

9 authors.

K Hema ShreeSaveetha Dental College, 162, Masilamani Nagar, Seneerkuppam bypass Road, Poonamallee, Chennai, Tamil Nadu, 600077, India. hemashree9111990@gmail.com.
Pratibha RamaniSaveetha Dental College, 162, Masilamani Nagar, Seneerkuppam bypass Road, Poonamallee, Chennai, Tamil Nadu, 600077, India.
Herald SherlinSaveetha Dental College, 162, Masilamani Nagar, Seneerkuppam bypass Road, Poonamallee, Chennai, Tamil Nadu, 600077, India.
Gheena SukumaranSaveetha Dental College, 162, Masilamani Nagar, Seneerkuppam bypass Road, Poonamallee, Chennai, Tamil Nadu, 600077, India.
Gifrrina JeyarajSaveetha Dental College, 162, Masilamani Nagar, Seneerkuppam bypass Road, Poonamallee, Chennai, Tamil Nadu, 600077, India.
K R DonSaveetha Dental College, 162, Masilamani Nagar, Seneerkuppam bypass Road, Poonamallee, Chennai, Tamil Nadu, 600077, India.
Archana SanthanamSaveetha Dental College, 162, Masilamani Nagar, Seneerkuppam bypass Road, Poonamallee, Chennai, Tamil Nadu, 600077, India.
Abilasha RamasubramanianSaveetha Dental College, 162, Masilamani Nagar, Seneerkuppam bypass Road, Poonamallee, Chennai, Tamil Nadu, 600077, India.
R SundarL3, Jamals Grandeur, Kauveri Nagar Main Road, Velappanchavadi, Chennai, Tamil Nadu, 600077, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole saliva is mainly composed of fluid produced by major and minor salivary glands. Major salivary glands including parotid, submandibular, and sublingual glands, are known to secrete fluid transported from serum as well as surrounding glandular tissues [1]. Beside the secretions from salivary glands, oral mucosa, periodontium, as well as oral microflora also contribute to the final content of whole saliva [1]. Whole saliva therefore represents a complex balance among local and systemic sources [2]. This allows for the application of saliva in the diagnosis not only for salivary gland disorders but also for oral diseases and systemic conditions [2]. The role of saliva as a diagnostic tool in detecting Oral Squamous Cell Carcinoma. Articles published in PUBMED, EMBASE, COCHRANE, GOOGLE, manual search and back references of the articles for last 5 years extracted 77 articles. Studies which considered saliva as a diagnostic tool were included. Statistical analysis with Receivers Operating Curve to establish sensitivity and specificity of the salivary biomarkers as a diagnostic tool to detect Oral Squamous Cell Carcinoma were included for meta analysis. The measure of effect with 95% confidence interval were meta analysed for 9 articles in which 308 healthy individuals compared with 340 patients with Oral Squamous Cell Carcinoma. Highly sensitive salivary biomarkers for detecting Oral Squamous Cell Carcinoma were MMP-9, Chemerin, Choline + Betaine + Pipecolinic Acid + I - Carnitine(confidence interval ranges from 0.83-1.0). The narrow confidence interval of 0.95 + (0.88-1.00) was seen for MMP-9 followed by 1.00 + (0.78-1.00) for chemerin. Highly specific biomarkers for Oral Squamous Cell Carcinoma were MMP-9 (specificity -100%,), Chemerin(specificity-100%), over expressed mi RNA 136 with specificity of 0.88(0.69-0.97), under expressed mi RNA 27B with specificity of 1.0(0.66-1.00). Saliva can be used as a diagnostic tool with highly sensitive and specific markers namely MMP-9, Chemerin for early detection of Oral Squamous Cell Carcinoma.

Indexed as

Biomarkers, TumorChemokinesEarly Detection of CancerHumansIntercellular Signaling Peptides and ProteinsMatrix Metalloproteinase 9Mouth NeoplasmsSalivaSensitivity and SpecificitySquamous Cell Carcinoma of Head and NeckBiomarkers, TumorChemokinesIntercellular Signaling Peptides and ProteinsMatrix Metalloproteinase 9MMP9 protein, humanRARRES2 protein, humanChemerinMarkersMMP-9Saliva

Identifiers

What OpenQuestion holds

Textmetadata
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.