Evidence map›Paper›PMID 36460705›Full record

ArticleScientific reports2022

The impact of the first United Kingdom COVID-19 lockdown on environmental air pollution, digital display device use and ocular surface disease symptomatology amongst shielding patients.

Alberto Recchioni, Maryam Makanvand, Natraj Poonit, Graham R Wallace, Suzanne Bartington, William Bloss, Saaeha Rauz

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

7 authors.

Alberto RecchioniAcademic Unit of Ophthalmology, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK. a.recchioni@bham.ac.uk.
Maryam MakanvandSchool of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK.
Natraj PoonitAcademic Unit of Ophthalmology, Birmingham and Midland Eye Centre, Birmingham, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Dudley Road, Birmingham, UK.
Graham R WallaceAcademic Unit of Ophthalmology, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK.
Suzanne BartingtonInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
William BlossSchool of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK.
Saaeha RauzAcademic Unit of Ophthalmology, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK. s.rauz@bham.ac.uk.

Funding

Department of Health
6 · The paper itself

Abstract

Worldwide lockdown reduced air pollution during the first phase of the COVID-19 pandemic. The relationship between exposure to ambient air pollution, digital display device use and dry eye symptoms amongst patients with severe ocular surface disease (OSD) were considered. Symptoms and air pollutant concentrations for three different time periods (pre, during and post COVID-19 lockdown) were analysed in 35 OSD patients who achieved an immunosuppression risk-stratification score > 3 fulfilling the UK Government criteria for 12-week shielding. OSDI symptoms questionnaire, residential postcode air pollution data obtained from the Defra Automated Urban and Rural monitoring network for concentrations of nitrogen dioxide (NO

Indexed as

Air PollutantsAir PollutionCOVID-19Eye DiseasesCommunicable Disease ControlHumansNitrogen DioxidePandemicsAir PollutantsNitrogen Dioxide

Identifiers

PMID36460705
PMCPMC9716517

What OpenQuestion holds

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LicenceCC BY
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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.