Evidence map›Paper›PMID 32664192›Full record

ArticleInternational journal of environmental research and public health2020

Prediction Model for Dry Eye Syndrome Incidence Rate Using Air Pollutants and Meteorological Factors in South Korea: Analysis of Sub-Region Deviations.

Jong-Sang Youn, Jeong-Won Seo, Wonjun Park, SeJoon Park, Ki-Joon Jeon

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. 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

5 authors.

Jong-Sang YounDepartment of Environmental Engineering, Inha University, Incheon 22212, Korea.
Jeong-Won SeoDepartment of Ophthalmology, Hallym University, Dongtan Sacred Heart Hospital, Hwaseong-si 18450, Korea.
Wonjun ParkSchool of Industrial Management Engineering, Korea University, Seoul 02841, Korea.
SeJoon ParkDivision of Energy Resources Engineering and Industrial Engineering, Kangwon National University, Chuncheon-si 24341, Korea.
Ki-Joon JeonDepartment of Environmental Engineering, Inha University, Incheon 22212, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, we develop a dry eye syndrome (DES) incidence rate prediction model using air pollutants (PM

Indexed as

Air PollutantsAir PollutionDry Eye SyndromesChinaHumansIncidenceMeteorological ConceptsParticulate MatterRepublic of KoreaAir PollutantsParticulate Matterair pollutantsdry eye syndromemeteorological factorsprediction modelregional deviation

Identifiers

PMID32664192
PMCPMC7399894

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.