Evidence map›Paper›PMID 32415815›Full record

ArticleBosnian journal of basic medical sciences2021

Lessons learned from COVID-19 pandemic in Italy - A commentary.

Antonio Minni, Massimo Ralli, Francesca Candelori, Fabrizio Cialente, Lucia Ercoli, Claudio Parlapiano, Antonio Greco, Marco De Vincentiis

Abstract read
In one paragraph

Article in Bosnian journal of basic medical sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Observational
  9. 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

8 authors.

Antonio MinniDepartment of Sense Organs, Sapienza University of Rome, Rome, Italy.
Massimo RalliDepartment of Sense Organs, Sapienza University of Rome, Rome, Italy.
Francesca CandeloriDepartment of Sense Organs, Sapienza University of Rome, Rome, Italy.
Fabrizio CialenteDepartment of Sense Organs, Sapienza University of Rome, Rome, Italy.
Lucia ErcoliDepartment of Biomedicine and Prevention, Tor Vergata University, Rome, Italy.
Claudio ParlapianoDepartment of Clinical Sciences and Internal Medicine, Sapienza University of Rome, Rome Italy.
Antonio GrecoDepartment of Sense Organs, Sapienza University of Rome, Rome, Italy.
Marco De VincentiisDepartment of Oral and Maxillofacial Sciences, Sapienza University of Rome, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the COVID-19 outbreak, Italy has been one of the most affected countries in Europe and the second for number of deaths. In this commentary, we discuss some lessons that we learned as health-care providers working in a large public hospital during the pandemic, with a special focus on the importance of infection containment and early diagnosis, the role of swab, serological tests, home isolation and individual protection  devices, and the available therapies and management indications to better face a possible new outbreak in the near future. These comments should stimulate a more diffused, efficient, and efficacious management of COVID-19 patients, also reducing the number of admissions to hospital emergency departments and the related spread of the infection.

Indexed as

COVID-19 Nucleic Acid TestingCOVID-19 Serological TestingCommunicable Disease ControlCOVID-19Critical CareHealth PersonnelHospitalizationHospitals, PublicHumansItalyPandemicsPatient AdmissionPhysical DistancingQuarantineTreatment Outcome

Identifiers

PMID32415815
PMCPMC7861622

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.