Evidence map›Paper›PMID 36560548›Full record

ReviewVaccines2022

Current Update on Biomarkers for Detection of Cancer: Comprehensive Analysis.

Ankur Kaushal, Narinder Kaur, Surbhi Sharma, Anil K Sharma, Deepak Kala, Hridayesh Prakash, Shagun Gupta

Abstract readReview
In one paragraph

Review in Vaccines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. A Reproducibility Crisis for Clinical Metabolomics Studies.Trends in analytical chemistry : TRAC · 2024
    Article
  5. Review
  6. Article
  7. Review
  8. 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

7 authors.

Ankur KaushalDepartment of Biotechnology, Maharishi Markandeshwar (Deemed to Be) University, Mullana, Ambala 134003, India.
Narinder KaurDepartment of Microbiology, Maharishi Markandeshwar (Deemed to Be) University, Mullana, Ambala 134003, India.ORCID 0000-0003-4721-8800
Surbhi SharmaDepartment of Biotechnology, Maharishi Markandeshwar (Deemed to Be) University, Mullana, Ambala 134003, India.
Anil K SharmaDepartment of Biotechnology, Maharishi Markandeshwar (Deemed to Be) University, Mullana, Ambala 134003, India.ORCID 0000-0002-9768-1644
Deepak KalaNL-11 Centera Tetrahertz Laboratory, Institute of High Pressure Physics, Polish Academy of Sciences, 29/37 Sokolowska Street, 01142 Warsaw, Poland.ORCID 0000-0003-2379-7422
Hridayesh PrakashAmity Center for Translational Research, Amity University Uttar Pradesh, Noida 201313, India.ORCID 0000-0001-5269-2481
Shagun GuptaDepartment of Biotechnology, Maharishi Markandeshwar (Deemed to Be) University, Mullana, Ambala 134003, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early and effective diagnosis of cancer is decisive for its proper management. In this context biomarker-based cancer diagnosis is budding as one of the promising ways for early detection, disease progression monitoring, and effective cancer therapy. Integration of Biosensing devices with different metallic/nonmetallic nanoparticles offers amplification and multiplexing capabilities for simultaneous detection of cancer biomarkers (CB's). This study provides a comprehensive analysis of the most recent designs and fabrication methodologies designed for developing electrochemical biosensors (EB) for early detection of cancers. The role of biomarkers in cancer therapeutics is also discussed.

Indexed as

biosensing platformscancercancer biomarkerscancer screeningelectrochemical biosensorsnanomaterialspoint of care systemstransducers

Identifiers

PMID36560548
PMCPMC9787556

What OpenQuestion holds

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LicenceCC BY
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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.