Evidence map›Paper›PMID 30619658›Full record

ArticleTranslational vision science & technology2018

Calibrating the Impact of Vision Impairment (IVI): Creation of a Sample-Independent Visual Function Measure for Patient-Centered Outcomes Research.

Judith E Goldstein, Eva Fenwick, Robert P Finger, Vijaya Gothwal, Mary Lou Jackson, Ecosse Lamoureux, Gwyneth Rees, Robert Massof

Abstract read
In one paragraph

Article in Translational vision science & technology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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.

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

14 citing papers in PubMed.

  1. Effects of home reading training on reading and quality of life in AMD-a randomized and controlled study.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2019
    Trial
  2. Estimating Visual Acuity Without a Visual Acuity Chart.Translational vision science & technology · 2024
    Article
  3. Evaluation of the test-retest and inter-mode comparability of the Impact of Vision Impairment questionnaire in people with chronic eye diseases.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2024
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
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  10. Looking Ahead: Visual and Anatomical Endpoints in Future Trials of Diabetic Macular Ischemia.Ophthalmologica. Journal international d'ophtalmologie. International journal of ophthalmology. Zeitschrift fur Augenheilkunde · 2021
    Review
  11. 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
  12. Restoring vision at the fovea.Current opinion in behavioral sciences · 2019
    Article
  13. Article
  14. Review
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

8 authors.

Judith E GoldsteinWilmer Eye Institute, Johns Hopkins University, Baltimore, MD, USA.
Eva FenwickPopulation Health, Singapore Eye Research Institute, Singapore, Singapore.
Robert P FingerUniversity of Bonn, Bonn, Germany.
Vijaya GothwalDeshpande Centre for Sight Enhancement Brien Holden Eye Research Centre - Patient Reported Outcomes Unit, Hyderabad, India.
Mary Lou JacksonUniversity of British Columbia Department of Ophthalmology and Visual Sciences, Vancouver, BC, Canada.
Ecosse LamoureuxPopulation Health, Singapore Eye Research Institute, Singapore, Singapore.
Gwyneth ReesUniversity of Melbourne, Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia.
Robert MassofWilmer Eye Institute, Johns Hopkins University, Baltimore, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeProvide item calibrations estimated for the Impact of Vision Impairment (IVI) questionnaire by pooling data from several studies of people with vision impairment (VI) representing a variety of countries and causes of VI.

methodsEight data sets from six principal investigators representing responses to IVI items from 2867 VI patients were pooled for analysis. Eligible patients were 18 years or older and from Australia, India, and the United States. Rasch analysis, using the Andrich Rating Scale Model (Winsteps version 3.65), was performed on preintervention IVI responses to estimate item and person measures, reliability coefficients, and response category thresholds. Differential item functioning (DIF) analysis and analysis of variance (ANOVA) were used to examine the effects different data sets and covariates on item estimates.

resultsPatient age range was 18 to 103 years (median 62 years); 55% were male. Visual acuity ranged from 20/20 to no light perception and primary diagnosis was macular degeneration in 29% of patients. Item measure estimates showed good separation reliability (

conclusionsAnalysis from pooled data support the provision of calibrated IVI item measures for researchers and clinicians to use, thus better enabling direct comparisons of patients with VI. TRANSLATIONAL RELEVANCE: Validity testing of the IVI show that we can combine disparate data sets of patient responses to calibrate item measures and response category thresholds, and provide to others for use in comparing patients across clinical trials and on an individual basis.

Indexed as

impact of vision impairmentlow visionpatient-reported outcomesquality of lifevisual function questionnaires

Identifiers

PMID30619658
PMCPMC6314226

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.