Evidence map›Paper›PMID 36631073›Full record

ArticleEnvironmental health and preventive medicine2023

Joint effects of meteorological factors and PM

Jiayu He, Yuanyuan Liu, Ai Zhang, Qianfeng Liu, Xueli Yang, Naixiu Sun, Baoqun Yao, Fengchao Liang, Xiaochang Yan, Yang Liu and 4 more

Open access · goldAbstract read
In one paragraph

Article in Environmental health and preventive medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
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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

14 authors at 6 institutions in 2 countries.

Jiayu HeDepartment of Occupational and Environmental Health, School of Public Health, Tianjin Medical University.
Yuanyuan LiuDepartment of Ophthalmology, Tianjin Medical University General Hospital.
Ai ZhangDepartment of Occupational and Environmental Health, School of Public Health, Tianjin Medical University.
Qianfeng LiuDepartment of Occupational and Environmental Health, School of Public Health, Tianjin Medical University.
Xueli YangDepartment of Occupational and Environmental Health, School of Public Health, Tianjin Medical University.
Naixiu SunTianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University.
Baoqun YaoDepartment of Ophthalmology, Tianjin Medical University General Hospital.
Fengchao LiangSchool of Public Health and Emergency Management, Southern University of Science and Technology.
Xiaochang YanNational School of Development, Peking University.
Yang LiuGangarosa Department of Environmental Health, Rollins School of Public Health, Emory University.
Hongjun MaoTianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University.
Xi ChenDepartment of Occupational and Environmental Health, School of Public Health, Tianjin Medical University.
Nai-Jun TangDepartment of Occupational and Environmental Health, School of Public Health, Tianjin Medical University.
Hua YanDepartment of Ophthalmology, Tianjin Medical University General Hospital.ORCID http://orcid.org/0000-0002-7651-840X
Tianjin Medical University · CNEmory University · USNankai University · CNTianjin Medical University General Hospital · CNPeking University · CNSouthern University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWeather conditions are a possible contributing factor to age-related macular degeneration (AMD), a leading cause of irreversible loss of vision. The present study evaluated the joint effects of meteorological factors and fine particulate matter (PM

methodsData was extracted from a national cross-sectional survey conducted across 10 provinces in rural China. A total of 36,081 participants aged 40 and older were recruited. AMD was diagnosed clinically by slit-lamp ophthalmoscopy, fundus photography, and spectral domain optical coherence tomography (OCT). Meteorological data were calculated by European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis and were matched to participants' home addresses by latitude and longitude. Participants' individual PM

resultsThe prevalence of AMD in the study population was 2.6% (95% CI 2.42-2.76%). The average annual PM

conclusionsThis study is among the first to characterize the coordinated effects of meteorological factors and PM

Indexed as

Air PollutantsMacular DegenerationAdultChinaCross-Sectional StudiesHumansMeteorological ConceptsMiddle AgedParticulate MatterAir PollutantsParticulate MatterAge-related macular degenerationAir pollutionMeteorological factorsPM2.5Synergistic effect

Identifiers

PMID36631073
PMCPMC9845061
OpenAlexW4315432693

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.