Evidence map›Paper›PMID 28358956›Full record

ArticleJAMA ophthalmology2017

Ethnic Differences in the Association Between Age-Related Macular Degeneration and Vision-Specific Functioning.

Eva K Fenwick, Ryan E K Man, Chui Ming Gemmy Cheung, Charumathi Sabanayagam, Ching-Yu Cheng, Kumari Neelam, Jacqueline Chua, Alfred T L Gan, Paul Mitchell, Tien Y Wong and 1 more

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in JAMA ophthalmology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Optimizing measurement of vision-related quality of life: a computerized adaptive test for the impact of vision impairment questionnaire (IVI-CAT).Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2020
    Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 2 countries.

Eva K FenwickSingapore Eye Research Institute, Singapore National Eye Centre, Singapore2Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, University of Melbourne, Melbourne, Australia3Duke-NUS Medical School, National University of Singapore, Singapore.
Ryan E K ManSingapore Eye Research Institute, Singapore National Eye Centre, Singapore.
Chui Ming Gemmy CheungSingapore Eye Research Institute, Singapore National Eye Centre, Singapore3Duke-NUS Medical School, National University of Singapore, Singapore.
Charumathi SabanayagamSingapore Eye Research Institute, Singapore National Eye Centre, Singapore3Duke-NUS Medical School, National University of Singapore, Singapore.
Ching-Yu ChengSingapore Eye Research Institute, Singapore National Eye Centre, Singapore3Duke-NUS Medical School, National University of Singapore, Singapore.
Kumari NeelamSingapore Eye Research Institute, Singapore National Eye Centre, Singapore3Duke-NUS Medical School, National University of Singapore, Singapore.
Jacqueline ChuaSingapore Eye Research Institute, Singapore National Eye Centre, Singapore3Duke-NUS Medical School, National University of Singapore, Singapore.
Alfred T L GanSingapore Eye Research Institute, Singapore National Eye Centre, Singapore.
Paul MitchellCentre for Vision Research, Department of Ophthalmology and the Westmead Institute, University of Sydney, Sydney, New South Wales, Australia.
Tien Y WongSingapore Eye Research Institute, Singapore National Eye Centre, Singapore3Duke-NUS Medical School, National University of Singapore, Singapore.
Ecosse L LamoureuxSingapore Eye Research Institute, Singapore National Eye Centre, Singapore3Duke-NUS Medical School, National University of Singapore, Singapore.
Singapore National Eye Center · SGNational University of Singapore · SGSingapore Eye Research Institute · SGWestmead Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Understanding the link between ethnicity and health is critical to making appropriate public policy decisions. Few population-level data are available about this connection, however, including the influence of ethnicity on the association between age-related macular degeneration (AMD) and vision-specific functioning (VSF). Objective: To identify the influence of ethnicity on VSF among Chinese, Malay, and Indian patients with AMD. Design, Setting, and Participants: This cross-sectional, population-based study relied on patients and their data from 3 population-based studies in 3 ethnic groups: Chinese, Malay and Indian. Of 10 033 Chinese, Malay, and Indian adults who participated in the study, 9962 (99.3%) who had gradable fundus images and Visual Function Index (VF-11) data available were included in the analyses for the present study. Uniocular presenting distance visual acuity was measured using the logMAR chart. Separate multiple linear regression models examined the association between AMD and VSF in the 3 ethnic groups, adjusting for age, sex, presenting visual acuity in the better-seeing eye, educational level, income, smoking status, hypertension, diabetes, cardiovascular disease, total cholesterol level, and other eye conditions. Data were collected between January 20, 2004, and December 19, 2011; data analysis was conducted between November 12, 2015, and December 28, 2016. Exposures: Age-related macular degeneration according to fundus photographs graded using a modified Wisconsin Age-Related Maculopathy Grading System. Main Outcomes and Measures: Rasch analysis was used to convert VF-11 questionnaire scores to estimated interval measures of VSF. Results: Of the 9962 participants, the mean (SD) age was 58.8 (10.4) years; 4909 (49.3%) were male; 590 (5.9%) had early AMD (241 Chinese, 161 Malays, and 188 Indians) and 60 (0.6%) had late AMD (25 Chinese, 21 Malays, and 14 Indians). In the adjusted models, compared with no AMD, early AMD was associated with a small reduction in VSF (2.9%; β = -0.12; 95% CI, -0.23 to -0.00; P = .046) in the Chinese group but not in the Indian and Malay groups. Moreover, Chinese participants with late AMD had a clinically significant 19.1% loss of VSF (β = -0.78; 95% CI, -1.13 to -0.43, P < .001). In the Malay group, those with late AMD had a 13.5% drop in VSF (β = -0.49; 95% CI, -1.01 to 0.04; P = .07) compared with their counterparts without AMD. Similarly, late AMD was not associated with VSF in the Indian group. Conclusions and Relevance: Early and late AMD negatively affected VSF in Chinese but not in Indian and Malay participants. This finding suggests that there is an independent ethnic influence in the association of the disease with VSF in multiethnic Asian populations, thus warranting ethnicity-based strategies to delay the onset or progression of AMD.

Indexed as

EthnicityPopulation SurveillanceVisual AcuityAdultAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMacular DegenerationMaleMiddle AgedPrevalenceRisk FactorsSingapore

Identifiers

PMID28358956
PMCPMC5470419
OpenAlexW2601218709

What OpenQuestion holds

Textmetadata
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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.