Evidence map›Paper›PMID 35948897›Full record

ArticleBMC ophthalmology2022

Cross-sectional study of the association between asthma and cataract among 40 years and older in the USA.

Wenwei Li, Bin Wang

Open access · goldAbstract read
In one paragraph

Article in BMC ophthalmology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 52% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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 at 1 institution in 1 country.

Wenwei LiDepartment of Ophthalmology, Tongde Hospital of Zhejiang Province, 234 Gucui Road, Hangzhou, 310012, China.
Bin WangDepartment of Ophthalmology, Tongde Hospital of Zhejiang Province, 234 Gucui Road, Hangzhou, 310012, China. hospitalref@163.com.
Tongde Hospital of Zhejiang Province · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study is aimed to assess the association between asthma and cataract in a representative sample in the United States.

methodsThe National Health Interview Survey (NHIS) is the principal source of information on the health of the civilian noninstitutionalized population of the United States. Ten years (2010-2019) of NHIS were analyzed in this study. Asthma and cataract status were collected from relevant questionnaires among participants aged 40 years and older. Multivariate regression analyses were applied to explore the association between asthma and cataract.

resultsFrom 40,457 participants included, those with asthma had higher prevalence of cataract than those without asthma (29.41% vs 25.87%, p < 0.001). Participants who had asthma had 40% higher odds of cataract compared to those without, after adjusting for potential confounding covariates (Odds Ratio [OR] = 1.40, 95% Confidence Interval [CI]: 1.29-1.52, p < 0.001). When viewing asthma as the outcome, participants who had cataract had 36% higher odds of asthma compared to those without, after adjusting for potential confounding covariates (Odds Ratio [OR] = 1.36, 95% Confidence Interval [CI]: 1.25-1.47, p < 0.001).

conclusionsWith our study, we demonstrated that individuals with asthma were more likely to develop cataract compared with those without asthma. Further RCTs are needed to confirm this potential impact of asthma on cataract and to investigate the underlying mechanisms.

Indexed as

AsthmaCataractAdultCross-Sectional StudiesHumansMiddle AgedOdds RatioPrevalenceUnited StatesAsthmaCataractEpidemiology

Identifiers

PMID35948897
PMCPMC9364527
OpenAlexW4291021106

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.