Evidence map›Paper›PMID 34749921›Full record

ReviewJournal of the American Dental Association (1939)2021

Pandemics past, present, and future: Their impact on oral health care.

Lakshman Samaranayake, Kausar Sadia Fakhruddin

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of the American Dental Association (1939), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

13 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Dental Unit Waterlines: Disinfection and Management.International dental journal · 2024
    Review
  4. Article
  5. Review
  6. Review
  7. Teledentistry and management protocol in a pediatric dental department during the first COVID-19 lockdown.Archives de pediatrie : organe officiel de la Societe francaise de pediatrie · 2023
    Article
  8. Review
  9. "New Normal" Radiology.International dental journal · 2022
    Review
  10. Article
  11. Article
  12. New Beginnings.International dental journal · 2022
    Article
  13. 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

2 authors.

Lakshman Samaranayake
Kausar Sadia Fakhruddin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPandemics have significantly modified our societal behaviour over the millennia, and the COVID-19 pandemic is no exception. TYPES OF ARTICLES REVIEWED: In this article, the authors review the history of pandemics, the probable reasons for their emergence, and the COVID-19 pandemic due to the severe acute respiratory syndrome virus 2 (SARS-CoV-2) and its variants, as well as its possible impact on dentistry during the postpandemic period.

resultsThere are multiple reasons why catastrophic pandemics occur due to new infectious organisms that cross the species barrier from animals to humans. These include, population explosion, mass migration, and prolonged survival of debilitated and susceptible cohorts on various immunosuppressants. Coupled with global warming and the resultant loss of habitats, such vicissitudes of humans and nature lead to microbes evolving and mutating at an exponential pace, paving the way for pandemics. The contemporary epidemics and pandemics beginning with the HIV pandemic have modulated dentistry beyond recognition, now with assiduous and robust infection control measures in place. CONCLUSIONS AND PRACTICAL IMPLICATIONS: Because COVID-19 may become an endemic disease, particularly due to emerging SARS-CoV-2 variants the dental community should adopt modified infection control measures, teledentistry, and point-of-care diagnostics, among other measures. It is likely, that clinical ecosystems in future would be rendered even safer by predicting how pathogens evolve and priming the human immune system for the next wave of microbial combatants through vaccines produced using deep mutational scanning in which artificial intelligence and machine learning can predict the next variants even before their arrival.

Indexed as

COVID-19PandemicsArtificial IntelligenceDelivery of Health CareEcosystemHumansSARS-CoV-2futureimpactoral health carePandemicspastpresent

Identifiers

PMID34749921
PMCPMC8570943
OpenAlexW3213477648

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.