Evidence map›Paper›PMID 33313581›Full record

ReviewTurkish journal of anaesthesiology and reanimation2020

COVID-19: Pan(info)demic.

Shibu Sasidharan, Dhillon Harpreet Singh, Singh Vijay, Babitha Manalikuzhiyil

Abstract readReview
In one paragraph

Review in Turkish journal of anaesthesiology and reanimation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Infodemic: Challenges and solutions in topic discovery and data process.Archives of public health = Archives belges de sante publique · 2023
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Public Policy Measures to Increase Anti-SARS-CoV-2 Vaccination Rate in Russia.International journal of environmental research and public health · 2022
    Article
  10. Article
  11. Article
  12. Irrational Beliefs about COVID-19: A Scoping Review.International journal of environmental research and public health · 2021
    Article
  13. Article
  14. 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

4 authors.

Shibu SasidharanDepartment of Anaesthesia and Critical care, Level III IFH Hospital, MONUSCO, Goma, DR Congo.ORCID https://orcid.org/0000-0003-2991-7595
Dhillon Harpreet SinghDepartment of Psychiatry, Level III IFH Hospital, MONUSCO, Goma, DR Congo.ORCID https://orcid.org/0000-0001-5956-874X
Singh VijayDepartment of Anaesthesia and Critical care, Level III IFH Hospital, MONUSCO, Goma, DR Congo.ORCID 0000-0003-0495-1885
Babitha ManalikuzhiyilDepartment of Radiodiagnosis and Imaging, Ojas Hospital, Panchkula, India.ORCID 0000-0002-3696-1474

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The world has experienced pandemics worse than the coronavirus disease 2019 (COVID-19). However, the global effect of this pandemic has been overwhelming. Billions of people are in lockdown and also have easy access to information owing to easy and cheap internet connectivity and electronic media. However, information overload during the current COVID-19 pandemic has posed a set of challenges that were not encountered before. There is an 'infodemic' in which false news, conspiracy theories, magical cures, and racist news are being shared at an alarming rate, with the potential to increase anxiety and stress and even lead to loss of life. This review highlights some of these challenges and suggests general measures to avoid information overload and infodemic in the connected world of 21

Indexed as

Coronaviruscoronavirus disease 2019infodemicsocial media

Identifiers

PMID33313581
PMCPMC7720829

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.