Evidence map›Paper›PMID 34574646›Full record

ReviewInternational journal of environmental research and public health2021

Preventing and Monitoring Work-Related Diseases in Firefighters: A Literature Review on Sensor-Based Systems and Future Perspectives in Robotic Devices.

Juri Taborri, Simone Pasinetti, Ludovica Cardinali, Fabrizio Perroni, Stefano Rossi

Abstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
–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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. 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

5 authors.

Juri TaborriDepartment of Economics, Engineering, Society and Business Organization, University of Tuscia, 01100 Viterbo, Italy.ORCID 0000-0002-8997-7605
Simone PasinettiDepartment of Mechanical and Industrial Engineering, University of Brescia, 25121 Brescia, Italy.ORCID 0000-0002-5098-6395
Ludovica CardinaliDepartment of Movement, Human and Health Sciences, University of Rome "Foro Italico", 00135 Rome, Italy.
Fabrizio PerroniDepartment of Biomolecular Sciences, Section of Exercise and Health Sciences, University of Urbino Carlo Bo, 61029 Urbino, Italy.ORCID 0000-0003-2094-4351
Stefano RossiDepartment of Economics, Engineering, Society and Business Organization, University of Tuscia, 01100 Viterbo, Italy.ORCID 0000-0003-0006-7013

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, the necessity to prevent work-related diseases has led to the use of sensor-based systems to measure important features during working activities. This topic achieved great popularity especially in hazardous and demanding activities such as those required of firefighters. Among feasible sensor systems, wearable sensors revealed their advantages in terms of possibility to conduct measures in real conditions and without influencing the movements of workers. In addition, the advent of robotics can be also exploited in order to reduce work-related disorders. The present literature review aims at providing an overview of sensor-based systems used to monitor physiological and physical parameters in firefighters during real activities, as well as to offer ideas for understanding the potentialities of exoskeletons and assistive devices.

Indexed as

Exoskeleton DeviceFirefightersRoboticsHumansMonitoring, PhysiologicMovementfirefightersphysiological and physical parametersrobotic deviceswearable sensorswork-related disease

Identifiers

PMID34574646
PMCPMC8469039

What OpenQuestion holds

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LicenceCC BY
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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.