Evidence map›Paper›PMID 35119609›Full record

ArticleInternational ophthalmology2022

Impact of prolonged face mask wearing on tear break-up time and dry eye symptoms in health care professionals.

Mine Esen Baris, Suzan Guven Yilmaz, Melis Palamar

Open access · bronzeAbstract read
In one paragraph

Article in International ophthalmology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
6.0field-weighted citation impact, top 3% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

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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 1 country.

Mine Esen BarisOphthalmology Department, Ege University Hospital, 35100, Izmir, Bornova, Turkey. mine.baris@yahoo.com.ORCID http://orcid.org/0000-0003-1341-6737
Suzan Guven YilmazOphthalmology Department, Ege University Hospital, 35100, Izmir, Bornova, Turkey.
Melis PalamarOphthalmology Department, Ege University Hospital, 35100, Izmir, Bornova, Turkey.
Ege University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the impact of prolonged surgical face mask wearing on dry eye symptoms and tear film break-up time (T-BUT) in health care professionals. MATERIALS AND

methodsA total of 33 health care professionals were included in the present cross sectional prospective study. In addition to a complete ophthalmological examination T-BUT measurements were performed twice for all participants in the morning (8 am) and in the afternoon (5 pm). The subjects also filled-in the ocular surface disease index (OSDI) questionnaire twice, before and after wearing the face mask, on the same day.

resultsSixty-six eyes of 33 participants (17 female and 16 male) were evaluated. The mean age was 33.6 ± 7.55 (24-48) years and mean total duration with mask on between the two evaluations was 514 ± 12.5 (495-526) minutes. The mean T-BUT was 9.3 ± 1.0 (3-16) seconds at 8 am and 8.3 ± 1.5 (3-14) seconds at 5 pm (p = 0.01). The mean OSDI score was 20.1 ± 8.3 (0-68.75) at 8 am and 27.4 ± 10.4 (0-81.25) at 5 pm (p < 0.01).

conclusionUse of a surgical mask for the entire work-day was seen to worsen T-BUT and increase dry eye symptoms in healthy individuals. Ophthalmologists should be aware of the possibility of worsening of dry eye symptoms with the prolonged use of surgical face masks and consider modifications if necessary.

Indexed as

Dry Eye SyndromesMasksAdultCross-Sectional StudiesFemaleHealth PersonnelHumansMaleProspective StudiesTearsDry eyeMask associated dry eyeSurgical face mask

Identifiers

PMID35119609
PMCPMC8815392
OpenAlexW4226237732

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.