Evidence map›Paper›PMID 32076837›Full record

ReviewMikrochimica acta2020

Recent advancements in fabrication of nanomaterial based biosensors for diagnosis of ovarian cancer: a comprehensive review.

Rinky Sha, Sushmee Badhulika

Abstract readReview
PubMed Publisher
In one paragraph

Review in Mikrochimica acta, 2020. 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
3.1field-weighted citation impact, top 7% 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, 52 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
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  8. Article
  9. Review
  10. Review
  11. Article
  12. Early diagonosis of ovarian cancer: serum HE4, CA125 and ROMA model.American journal of translational research · 2021
    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 1 institution in 1 country.

Rinky ShaDepartment of Electrical Engineering, Indian Institute of Technology, Hyderabad, 502285, India.ORCID https://orcid.org/0000-0002-5175-3059
Sushmee BadhulikaDepartment of Electrical Engineering, Indian Institute of Technology, Hyderabad, 502285, India. sbadh@iith.ac.in.ORCID https://orcid.org/0000-0003-3237-3031
Indian Institute of Technology Hyderabad · IN

Funding

Scientific and Engineering Research Board (SERB) SB/WEA-03/2017
6 · The paper itself

Abstract

Ovarian cancer is commonly diagnosed via determination of biomarkers like CA125, Mucin 1, HE4, and prostasin that can be present in the blood. However, there is a substantial need for less expensive, simpler, and portable diagnostic tools, both for timely diagnosis and management of ovarian cancer. This review (with 101 refs.) discusses various kinds of nanomaterial-based biosensors for tumor markers. Following an introduction into the field, a first section covers different kinds of biomarkers for ovarian cancer including CA125 (MUC16), mucin 1 (MUC1), human epididymis protein 4 (HE4), and prostasin. This is followed by a short overview on conventional diagnostic approaches. A large section is then presented on biosensors for determination of ovarian cancer, with subsections on optical biosensors (fluorimetric, colorimetric, surface plasmon resonance, chemiluminescence, electrochemiluminescence), on electrochemical sensors, molecularly imprinted sensors, paper-based biosensors, microfluidic (lab-on-a-chip) assays, chemiresistive and field effect transistor-based sensors, and giant magnetoresistive sensors. Tables are presented that give an overview on the wealth of methods and materials. A concluding section summarizes the current status, addresses current challenges, and gives an outlook on potential future trends. Graphical abstract Schematic representation of the review covering the advancements in the fabrication of various nanomaterial based biosensors for diagnosis of ovarian cancer.

Indexed as

Biosensing TechniquesFemaleHumansNanostructuresOvarian NeoplasmsBiomarkersCA125Flexible FET, electrochemicalHE4MicrofluidicMolecular imprintingMUC1NanosensorsProstasin

Identifiers

PMID32076837
OpenAlexW3007644271

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.