Evidence map›Paper›PMID 29942385›Full record

ArticleNanobiomedicine

Nanobiosensors in diagnostics.

Alejandro Chamorro-Garcia, Arben Merkoçi

Abstract read
In one paragraph

Article in Nanobiomedicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Applications of Nanobiotechnology in Medicine.Life (Basel, Switzerland) · 2026
    Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Personalized Physiological Medicine as the Future of Intensive Care Medicine.Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures) · 2022
    Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Optical Biosensors for Virus Detection: Prospects for SARS-CoV-2/COVID-19.Chembiochem : a European journal of chemical biology · 2021
    Review
  17. Review
  18. Opportunities for biomaterials to address the challenges of COVID-19.Journal of biomedical materials research. Part A · 2020
    Review
  19. Article
  20. 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

2 authors.

Alejandro Chamorro-GarciaCatalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC and The Barcelona Institute of Science and Technolgy, Campus UAB, Bellaterra, 08193 Barcelona, Spain.
Arben MerkoçiCatalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC and The Barcelona Institute of Science and Technolgy, Campus UAB, Bellaterra, 08193 Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medical diagnosis has been greatly improved thanks to the development of new techniques capable of performing very sensitive detection and quantifying certain parameters. These parameters can be correlated with the presence of specific molecules and their quantity. Unfortunately, these techniques are demanding, expensive, and often complicated. On the other side, progress in other fields of science and technology has contributed to the rapid growth of nanotechnology. Although being an emerging discipline, nanotechnology has raised huge interest and expectations. Most of the enthusiasm comes from new possibilities and properties of nanomaterials. Biosensors (simple, robust, sensitive, cost-effective) combined with nanomaterials, also called nanobiosensors, are serving as bridge between advanced detection/diagnostics and daily/routine tests. Here we review some of the latest applications of nanobiosensors in diagnostics field.

Indexed as

biomarkersbiosensorsdiagnosticsnanobiosensorsNanomaterials

Identifiers

PMID29942385
PMCPMC5998262

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.