Evidence map›Paper›PMID 37225203›Full record

ArticleRadiation protection dosimetry2023

A real-time system to report abnormal events involving staff in a nuclear medicine therapy unit.

Giorgia Stendardo, Cristina Nuccetelli, Sveva Grande, Alessandra Palma, Gennaro Venoso, Carmine Zicari, Claudio Andenna, Giuseppe Frau, Ilaria Bonanno, Valeria Landoni and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Radiation protection dosimetry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

18 authors.

Giorgia StendardoIstituto Superiore di Sanità, Core Facilities, Rome 00161, Italy.
Cristina NuccetelliIstituto Superiore di Sanità, National Center for Radiation Protection and Computational Physics, Rome 00161, Italy.
Sveva GrandeIstituto Superiore di Sanità, National Centre for Innovative Technologies in Public Health, Rome 00161, Italy.
Alessandra PalmaIstituto Superiore di Sanità, National Centre for Innovative Technologies in Public Health, Rome 00161, Italy.
Gennaro VenosoIstituto Superiore di Sanità, National Center for Radiation Protection and Computational Physics, Rome 00161, Italy.
Carmine ZicariNational Institute for Insurance against Accidents at Work, Department of Technological Innovations and Safety of Plants, Products and Anthropics settlements, Rome 00153, Italy.
Claudio AndennaNational Institute for Insurance against Accidents at Work, Department of Technological Innovations and Safety of Plants, Products and Anthropics settlements, Rome 00153, Italy.
Giuseppe FrauDeep Blue Srl, Rome 00185, Italy.
Ilaria BonannoDeep Blue Srl, Rome 00185, Italy.
Valeria LandoniIRCCS Regina Elena National Cancer Institute, Department of research and advanced technology, Rome 00144, Italy.
Rosa SciutoIRCCS Regina Elena National Cancer Institute, Department of research and advanced technology, Rome 00144, Italy.
Vicente BruzzanitiIRCCS Regina Elena National Cancer Institute, Department of research and advanced technology, Rome 00144, Italy.
Bartolomeo CassanoIRCCS Regina Elena National Cancer Institute, Department of research and advanced technology, Rome 00144, Italy.
Giuseppe IaccarinoIRCCS Regina Elena National Cancer Institute, Department of research and advanced technology, Rome 00144, Italy.
Federica MurtasIRCCS Regina Elena National Cancer Institute, Department of research and advanced technology, Rome 00144, Italy.
Cristina CanziFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan 20122, Italy.
Felicia ZitoFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan 20122, Italy.
Paola FattibeneIstituto Superiore di Sanità, Core Facilities, Rome 00161, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A system for internal and voluntary reporting of abnormal events in a Nuclear Medicine Therapy Unit is described. This system is based on the Internet of Things and is composed of an application for mobile devices and a wireless network of detectors. The application is addressed to healthcare professionals and is intended to be a user-friendly tool to make the reporting procedure little laborious. The network of detectors allows for a real-time measurement of the dose distribution in the patient's room. The staff was involved in all stages, from the design of the dosimetry system and mobile application up to their final testing. Face-to-face interviews were carried out with 24 operators in different roles in the Unit (radiation protection experts, physicians, physicists, nuclear medicine technicians and nurses). The preliminary results of the interviews and the current state of development of the application and the detection network will be described.

Indexed as

Nuclear MedicineRadiation ProtectionHealth PersonnelHumansInternetRadionuclide Imaging

Identifiers

PMID37225203
PMCPMC10208743

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.