Evidence map›Paper›PMID 33916812›Full record

ReviewPharmaceutics2021

Are Nanobiosensors an Improved Solution for Diagnosis of

Sona Jain, Wanessa Santana, Silvio S Dolabella, André L S Santos, Eliana B Souto, Patrícia Severino

Open access · goldAbstract readReview
In one paragraph

Review in Pharmaceutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Microorganisms · 2021
    Review
  10. Review
  11. 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

6 authors at 4 institutions in 2 countries.

Sona JainPostgraduate Program in Industrial Biotechnology, Universidade Tiradentes, Aracaju 49032-490, Brazil.ORCID 0000-0002-5999-931X
Wanessa SantanaPostgraduate Program in Industrial Biotechnology, Universidade Tiradentes, Aracaju 49032-490, Brazil.
Silvio S DolabellaDepartment of Morphology, Federal University of Sergipe, São Cristóvão 49100-000, Brazil.ORCID 0000-0001-5576-3214
André L S SantosPaulo de Góes Microbiology Institute, Departament of General Microbiology, Federal University of Rio de Janeiro, Rio de Janeiro 21941-901, Brazil.ORCID 0000-0003-0821-8592
Eliana B SoutoCEB-Centre of Biological Engineering, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal.
Patrícia SeverinoPostgraduate Program in Industrial Biotechnology, Universidade Tiradentes, Aracaju 49032-490, Brazil.ORCID 0000-0001-6527-6612
Universidade Tiradentes · BRUniversidade Federal de Sergipe · BRUniversidade Federal do Rio de Janeiro · BRUniversity of Coimbra · PT

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico CNPq 301964/2019-0 Chamada 06/2019, Chamada CNPq nº 01/2019Portuguese Science and Technology Foundation, Ministry of Science and Education (FCT/MEC) for the sponsorship of the projects M-ERA-NET-0004/2015-PAIRED and UIDB/04469/2020 (strategic fund), co-financed by FEDER, under the Partnership Agreement PT2020 M-ERA-NET-0004/2015-PAIRED and UIDB/04469/2020 (strategic fund)
6 · The paper itself

Abstract

Leishmaniasis is one of the deadliest neglected tropical diseases affecting 12-15 million people worldwide, especially in middle- and low-income countries. Rapid and accurate diagnosis of the disease is important for its adequate management and treatment. Several techniques are available for the diagnosis of leishmaniasis. Among these, parasitological and immunological tests are most widely used. However, in most cases, the utilized diagnostic techniques are not good enough, showing cross-reactivity and reduced accuracy. In recent years, many new methods have been reported with potential for improved diagnosis. This review focuses on the diagnosis of

Indexed as

genosensorsimmunosensorsleishmaniasisnanomaterialsparasitic diseases

Identifiers

PMID33916812
PMCPMC8066167
OpenAlexW3141761292

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.