Evidence map›Paper›PMID 31465753›Full record

ArticleAmerican journal of ophthalmology2019

Near Vision Impairment and Frailty: Evidence of an Association.

Varshini Varadaraj, Moon Jeong Lee, Jing Tian, Pradeep Y Ramulu, Karen Bandeen-Roche, Bonnielin K Swenor

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of ophthalmology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06604104 (Seeing Through Their Eyes - Towards Defining Visual Frailty in Ageing), which is not on this map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–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.

NCT06604104 recruitingnot on this mapstarted 2025, after this paper: background citation

Seeing Through Their Eyes - Towards Defining Visual Frailty in Ageing

TypeobservationalSponsorUniversity of EdinburghRan2025 to 2027Enrolled20ConditionsFrailty, Age-Related Macular Degeneration, Functional Status, Mental Health
3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

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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

6 authors.

Varshini VaradarajWilmer Eye Institute, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Moon Jeong LeeWilmer Eye Institute, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Jing TianDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Pradeep Y RamuluWilmer Eye Institute, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Karen Bandeen-RocheDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Bonnielin K SwenorWilmer Eye Institute, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA. Electronic address: bswenor@jhmi.edu.

Funding

Technological Assessment and Solutions Core - RC4P30AG021334 · NIA · JOHNS HOPKINS UNIVERSITY · PI Jeremy D Walston · 2003 to 2026
$33.2M
Vision Loss and Cognition: Testing the sensory consequence hypothesisK01AG052640 · NIA · JOHNS HOPKINS UNIVERSITY · PI SWENOR, BONNIELIN · 2017 to 2021
$834k
NIA NIH HHS K01 AG052640NIA NIH HHS P30 AG021334
6 · The paper itself

Abstract

purposeTo examine associations between near vision impairment (NVI) and frailty.

designCross-sectional study.

methodsSetting: Nationally representative sample of noninstitutionalized United States civilians. STUDY POPULATION: Total of 2705 older adults aged ≥60 years from National Health and Nutrition Examination Survey (1999-2002). OBSERVATION: Presenting NVI (PNVI): near acuity worse than 20/40. Self-reported NVI (SNVI): self-reported difficulty with near vision tasks. MAIN OUTCOME MEASURE(S): Five-item physical frailty index; participants classified as frail (≥3 criteria) and prefrail (1 or 2 criteria). Propensity score-adjusted and probability-weighted multinomial multivariable logistic regression was used to examine associations of PNVI and SNVI with frailty.

resultsOf 2705 participants, 381 (10%), 160 (5%), and 106 (3%) had PNVI only, SNVI only, and PNVI+SNVI, respectively. In fully adjusted models, as compared to those without PNVI, participants with PNVI were more likely to be prefrail (odds ratio [OR] = 1.6; 95% confidence interval [CI] = 1.1, 2.3) and frail (OR = 2.5; 95% CI = 1.4, 4.3). As compared to those without SNVI, participants with SNVI were more likely to be prefrail (OR = 2.9; 95% CI = 1.8, 4.7) and frail (OR = 4.3; 95% CI = 2.2, 8.3). As compared to those without PNVI or SNVI, participants with PNVI+SNVI were more likely to be prefrail and frail (prefrail: OR = 4.0; 95% CI = 2.2, 7.2 and frail: OR = 4.5; 95% CI = 1.7,12.7).

conclusionsOlder adults with PNVI and SNVI were more likely to be prefrail and frail than those without respective NVI, suggesting that NVI is associated with frailty.

Indexed as

Persons with Visual DisabilitiesAgedAged, 80 and overCross-Sectional StudiesFemaleFrailtyHumansLogistic ModelsMaleMiddle AgedNutrition SurveysOdds RatioPhenotypeSelf ReportUnited StatesVision Disorders

Identifiers

PMID31465753
PMCPMC6888870

What OpenQuestion holds

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Registered trials

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.