Evidence map›Paper›PMID 31117262›Full record

ReviewBiosensors2019

An Alternative Medical Diagnosis Method: Biosensors for Virus Detection.

Yeşeren Saylan, Özgecan Erdem, Serhat Ünal, Adil Denizli

Abstract readReview
In one paragraph

Review in Biosensors, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers.

0numbers the graph read from it
0cells of the map it votes in
100citing 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

100 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Biosensors for the detection of flaviviruses: A review.Synthetic and systems biotechnology · 2025
    Review
  10. Review
  11. Review
  12. Advancements in biosensors for cancer detection: revolutionizing diagnostics.Medical oncology (Northwood, London, England) · 2024
    Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Review
  18. Review
  19. Review
  20. Article

40 more citing papers are in PubMed but not listed here.

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

4 authors.

Yeşeren SaylanDepartment of Chemistry, Hacettepe University, Ankara 06800, Turkey. yeseren@hacettepe.edu.tr.ORCID 0000-0001-5173-1522
Özgecan ErdemDepartment of Biology, Hacettepe University, Ankara 06800, Turkey. ozgecanerdem@hacettepe.edu.tr.ORCID 0000-0002-1284-6113
Serhat ÜnalDepartment of Infectious Disease and Clinical Microbiology, Hacettepe University, Ankara 06230, Turkey. sunal@hacettepe.edu.tr.
Adil DenizliDepartment of Chemistry, Hacettepe University, Ankara 06800, Turkey. denizli@hacettepe.edu.tr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infectious diseases still pose an omnipresent threat to global and public health, especially in many countries and rural areas of cities. Underlying reasons of such serious maladies can be summarized as the paucity of appropriate analysis methods and subsequent treatment strategies due to the limited access of centralized and equipped health care facilities for diagnosis. Biosensors hold great impact to turn our current analytical methods into diagnostic strategies by restructuring their sensing module for the detection of biomolecules, especially nano-sized objects such as protein biomarkers and viruses. Unquestionably, current sensing platforms require continuous updates to address growing challenges in the diagnosis of viruses as viruses change quickly and spread largely from person-to-person, indicating the urgency of early diagnosis. Some of the challenges can be classified in biological barriers (specificity, low number of targets, and biological matrices) and technological limitations (detection limit, linear dynamic range, stability, and reliability), as well as economical aspects that limit their implementation into resource-scarce settings. In this review, the principle and types of biosensors and their applications in the diagnosis of distinct infectious diseases were comprehensively explained. The deployment of current biosensors into resource-scarce settings is further discussed for virus detection by elaborating the pros and cons of existing methods as a conclusion and future perspective.

Indexed as

AnimalsBiosensing TechniquesElectrochemical TechniquesHumansMolecular Diagnostic TechniquesVirus DiseasesVirusesbiosensormedical applicationsvirus detection

Identifiers

PMID31117262
PMCPMC6627152

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.