Evidence map›Paper›PMID 32728692›Full record

ReviewInteractive cardiovascular and thoracic surgery2020

Opening and closing the doors of the lockdown in Italy without forgetting lung cancer patients.

Luca Bertolaccini, Lorenzo Spaggiari

Open access · bronzeAbstract readReview
In one paragraph

Review in Interactive cardiovascular and thoracic surgery, 2020. 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
0.3field-weighted citation impact, top 43% of its field
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, 3 citations in OpenAlex.

  1. Observational
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

2 authors at 2 institutions in 1 country.

Luca BertolacciniDepartment of Thoracic Surgery, IEO, European Institute of Oncology IRCCS, Milan, Italy.
Lorenzo SpaggiariDepartment of Thoracic Surgery, IEO, European Institute of Oncology IRCCS, Milan, Italy.
Istituti di Ricovero e Cura a Carattere Scientifico · ITUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease-19 (COVID-19) has rapidly spread to more than 200 countries all around the world, which are facing challenges in controlling its spread. The Italian Government initiated an unprecedented public health intervention to contain the epidemic by shutting down all people movements. Two weeks after the start of the lockdown period, the daily rate of patient admissions to hospitals significantly decreased. After 2 months, the quarantine progressively came to an end. A practical issue at this time is when and how the lockdown interventions should be relaxed since, without an effective vaccine, the general public still remains vulnerable. However, patient should not be placed at an increased risk of dying of lung cancer just to avoid COVID-19. Attention must be paid to all types of cancers and people should not hesitate to go to the hospital to be treated in time. All necessary actions should be taken by hospitals to minimize the risks of potential contagion, by designating differentiated routes and areas for patients potentially affected by COVID-19, while maintaining the highest standard of oncological care. If this 'cancer amnesia' situation persists, the mortality from lung neoplasms would far exceed that directly associated with the COVID-19 pandemic.

Indexed as

BetacoronavirusDisease ManagementCoronavirus InfectionsCOVID-19HumansIncidenceItalyLung NeoplasmsPandemicsPneumonia, ViralQuarantineSARS-CoV-2BiostatisticsCoronavirusCoronavirus disease-19Healthcare reorganizationLung cancerSARS-CoV-2

Identifiers

PMID32728692
PMCPMC7454575
OpenAlexW3046275592

What OpenQuestion holds

Textmetadata
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.