Evidence map›Paper›PMID 32260295›Full record

ReviewInternational journal of environmental research and public health2020

Biosensors in Occupational Safety and Health Management: A Narrative Review.

Antonio Baldassarre, Nicola Mucci, Luigi Isaia Lecca, Emanuela Tomasini, Maria Julia Parcias-do-Rosario, Carolina Tauil Pereira, Giulio Arcangeli, Paulo Antonio Barros Oliveira

Abstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Occupational Safety and Health Equity Impacts of Artificial Intelligence: A Scoping Review.International journal of environmental research and public health · 2023
    Article
  3. Promoting Occupational Health through Gamification and E-Coaching: A 5-Month User Engagement Study.International journal of environmental research and public health · 2021
    Article
  4. 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

8 authors.

Antonio BaldassarreDepartment of Experimental and Clinical Medicine, University of Florence, 50134 Florence, Italy.
Nicola MucciDepartment of Experimental and Clinical Medicine, University of Florence, 50134 Florence, Italy.
Luigi Isaia LeccaDepartment of Experimental and Clinical Medicine, University of Florence, 50134 Florence, Italy.
Emanuela TomasiniDepartment of Experimental and Clinical Medicine, University of Florence, 50134 Florence, Italy.
Maria Julia Parcias-do-RosarioHospital De Clinicas, Serviço de Medicina Ocupacional, Porto Alegre 90035-007, Rio Grande do Sul, Brazil.
Carolina Tauil PereiraHospital De Clinicas, Serviço de Medicina Ocupacional, Porto Alegre 90035-007, Rio Grande do Sul, Brazil.
Giulio ArcangeliDepartment of Experimental and Clinical Medicine, University of Florence, 50134 Florence, Italy.
Paulo Antonio Barros OliveiraHospital De Clinicas, Serviço de Medicina Ocupacional, Porto Alegre 90035-007, Rio Grande do Sul, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A sensor is a device used to gather information registered by some biological, physical or chemical change, and then convert the information into a measurable signal. The first biosensor prototype was conceived more than a century ago, in 1906, but a properly defined biosensor was only developed later in 1956. Some of them have reached the commercial stage and are routinely used in environmental and agricultural applications, and especially, in clinical laboratory and industrial analysis, mostly because it is an economical, simple and efficient instrument for the in situ detection of the bioavailability of a broad range of environmental pollutants. We propose a narrative review, that found 32 papers and aims to discuss the possible uses of biosensors, focusing on their use in the area of occupational safety and health (OSH).

Indexed as

Biosensing TechniquesOccupational HealthHumansLaboratoriesbiosensorscomplex adaptive systemsdigital epidemiologye-healthenvironmental medicineergonomicshealth and safetyhealth biomarkerhigh fidelity data acquisitionhigh-throughput artificial intelligencenanotechnologyoccupational medicine

Identifiers

PMID32260295
PMCPMC7177223

What OpenQuestion holds

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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.