Evidence map›Paper›PMID 35259798›Full record

ArticleLung India : official organ of Indian Chest Society

Interventional pulmonology during COVID times: A look back at the year gone by.

Ramasubramaniam Kottaisamy, Manish Kumar Aggarwal, Rajiv Goyal

Open access · diamondAbstract read
In one paragraph

Article in Lung India : official organ of Indian Chest Society. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 97% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 1 institution in 2 countries.

Ramasubramaniam KottaisamyRajiv Gandhi Cancer Institute and Research Center, Delhi, India.
Manish Kumar AggarwalRajiv Gandhi Cancer Institute and Research Center, Delhi, India.
Rajiv GoyalRajiv Gandhi Cancer Institute and Research Center, Delhi, India.
Rajiv Gandhi Cancer Institute and Research Centre · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The COVID-19 pandemic has created an unprecedented crisis, affecting every sphere of human life. A major challenge for health care workers (HCWs) is to care for patients with a highly contagious airborne disease, while making sure of their own safety. Interventional pulmonology (IP) procedures, like bronchoscopy, are particularly risky due to significant aerosol generation. Guidelines by several scientific bodies were framed on the precautions to be taken while performing IP procedures. We evaluated the IP procedures performed during the COVID-19 pandemic, and whether the precautions adopted proved adequate in preventing transmission amongst the HCWs involved in these procedures. Method: We performed a retrospective analysis of all patients who underwent IP procedures between March 2020 and November 2020, at a tertiary cancer hospital. We also evaluated the proportion of HCWs, who were involved in these procedures, and were affected by COVID-19, through their health care records. Results: We performed a total of 506 IP procedures. Two of the 18 HCWs, working in that unit, suffered from COVID-19 and recovered after a mild illness. Three HCWs were isolated with suspected infection but proved to be negative. The procedures in our IP unit were uninterrupted for the entire duration of the study period. Conclusion: IP procedures can be safely performed even in the presence of a highly contagious viral pandemic with adequate precautions.

Indexed as

bronchoscopyInterventional pulmonologySARS-CoV-2

Identifiers

PMID35259798
PMCPMC9053930
OpenAlexW4214552856

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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Registered trials

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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.