Evidence map›Paper›PMID 34447042›Full record

ReviewJournal of pharmacy & bioallied sciences2021

Salivaomics for Oral Cancer Detection: An Insight.

V Naga Sirisha Chundru, Ramadas Madhavan Nirmal, B Srikanth, Manasa Bojji, Namburi Midhun, B Jaya Lakshmi

Abstract readReview
In one paragraph

Review in Journal of pharmacy & bioallied sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Salivary Extracellular Vesicles: Biomarkers and Beyond in Human Diseases.International journal of molecular sciences · 2023
    Review
  2. Analysis of the Saliva Proteome Using 2D-DIGE.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  3. Article
  4. Review
  5. Review
  6. 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

6 authors.

V Naga Sirisha ChundruDepartment of Oral and Maxillofacial Pathology, Malla Reddy Dental College for Women, Hyderabad, Telangana, India.
Ramadas Madhavan NirmalDepartment of Oral and Maxillofacial Pathology, Rajah Muthiah Dental College and Hospital, Chidambaram, Tamil Nadu, India.
B SrikanthDepartment of Dental Surgery, MNJ Institute of Oncology and Regional Cancer Centre, Hyderabad, Telangana, India.
Manasa BojjiDepartment of Oral and Maxillofacial Pathology, Malla Reddy Dental College for Women, Hyderabad, Telangana, India.
Namburi MidhunDepartment of Oral and Maxillofacial Pathology, CKS Theja institute of Dental Sciences, Tirupati, Andhra Pradesh, India.
B Jaya LakshmiDepartment of Oral Medicine and Radiology, Tirumala Institute of Dental Sciences and Research Centre, Nizamabad, Telangana, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early detection is very crucial for successful management of oral cancer or any disease as such. Oral squamous cell carcinoma (OSCC) accounts for nearly 90% of malignancy of oral cavity. In the field of cancer research, there is always an ongoing quest for newer methods to lower the morbidity and mortality associated with OSCC. Saliva, a readily available noninvasive biofluid with constant contact with oral cancer lesion, offers an appealing alternative to serum and tissue testing. This review throws light on incorporation of newer technologies for harnessing the saliva to its fullest potential with increased specificity and sensitivity toward identification of cancer-specific molecular signatures for the development of point-of-care applications that could be used at the clinical setting.

Indexed as

Biomarkersmolecular signaturesoral cancersalivasalivaomics

Identifiers

PMID34447042
PMCPMC8375914

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.