ArticleThe Journal of forensic odonto-stomatology2020
A contribution for the forensic odontologist's safety in the autopsy room.
Article in The Journal of forensic odonto-stomatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
Who cites it
1 citing paper in PubMed.
- A Survey on forensic odontologists' activity in Italy during the COVID-19 pandemic.Forensic science international · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Covid 19 pandemic we are currently facing all over the world is undoubtly an emergency condition which exposes all workers to the risks of a serious infection. The personnel working in the autoptic room is at high risk for the possible contact with infected material from corpses, splashes and aerosols diffusion, and must be always prepared to stay safe and healthy. We offer to the forensic odontologists' community a short summary of some old and new hints on the treatment of dead bodies in the autopsy room during this pandemic emergency time.
Indexed as
Identifiers
32420913PMC7880154What OpenQuestion holds
Registered trials
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.