Evidence map›Paper›PMID 30639366›Full record

ArticleAmerican journal of ophthalmology2019

Predictors of Falls per Step and Falls per Year At and Away From Home in Glaucoma.

Pradeep Y Ramulu, Aleksandra Mihailovic, Sheila K West, Laura N Gitlin, David S Friedman

Abstract read
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. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 pooled it
9.5field-weighted citation impact, top 2% 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

30 citing papers in PubMed, 3 syntheses or guidelines pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Falls Risk in Relation to Activity Exposure in High-Risk Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2020
    Trial
  6. Trial
  7. Evaluation of Functional Impacts of Vision Impairment: Progress, Challenges and Future Directions.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Validating Trend-Based End Points for Neuroprotection Trials in Glaucoma.Translational vision science & technology · 2023
    Article
  16. Article
  17. Article
  18. Observational
  19. Review
  20. 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

5 authors at 2 institutions in 1 country.

Pradeep Y RamuluGlaucoma Center of Excellence, Wilmer Eye Institute, Johns Hopkins University, Baltimore, Maryland, USA; Dana Center for Preventive Ophthalmology, Wilmer Eye Institute, Johns Hopkins University, Baltimore, Maryland, USA. Electronic address: pramulu@jhmi.edu.
Aleksandra MihailovicGlaucoma Center of Excellence, Wilmer Eye Institute, Johns Hopkins University, Baltimore, Maryland, USA; Dana Center for Preventive Ophthalmology, Wilmer Eye Institute, Johns Hopkins University, Baltimore, Maryland, USA.
Sheila K WestGlaucoma Center of Excellence, Wilmer Eye Institute, Johns Hopkins University, Baltimore, Maryland, USA; Dana Center for Preventive Ophthalmology, Wilmer Eye Institute, Johns Hopkins University, Baltimore, Maryland, USA.
Laura N GitlinJohns Hopkins School of Nursing, Baltimore, Maryland, USA.
David S FriedmanDana Center for Preventive Ophthalmology, Wilmer Eye Institute, Johns Hopkins University, Baltimore, Maryland, USA.
Johns Hopkins University · USJohns Hopkins Medicine · US

Funding

Optimizing Safety and Functionality in the Visually ImpairedR01EY022976 · NEI · JOHNS HOPKINS UNIVERSITY · PI RAMULU, PRADEEP YAMMANURU · 2013 to 2024
$5.2M
NEI NIH HHS R01 EY022976
6 · The paper itself

Abstract

objectiveTo determine where glaucoma patients most often fall and how integrated visual field (IVF) damage affects falls rates per year (falls/year) and per step (falls/step) at and away from home.

designProspective, observational cohort study.

methodsIn 225 patients with glaucoma or suspected glaucoma, falls data were collected via calendars, fall location was classified through follow-up questionnaires, and steps taken at and away from home were judged by integrating data from annual week-long accelerometer and GPS trials. Main outcome measures were the association of IVF sensitivity with fall rates per year or step, stratified by location.

resultsParticipants took more away steps than home steps (2366 vs 1524, P < .001), and differences in away vs home steps did not vary with IVF sensitivity (P = .22). A total of 57% of falls occurred at home, with each home step twice as likely to result in a fall as compared to each away step (rate ratio = 2.02, P < .001). Worse IVF sensitivity was not associated with a higher rate of home falls/year or away falls/year (P > .1 for both), but was associated with a higher rate of home falls/step (rate ratio = 1.34/5 dB worse sensitivity, P = .03) and away falls/step (rate ratio = 1.47/5 dB worse sensitivity, P = .003).

conclusionsIn this glaucoma population, most falls occurred at home, and the risk of any step resulting in a fall was higher at home. Those with greater VF damage were more likely to fall for each step taken both at and away from home. Efforts such as home environmental modification should be considered in the visually impaired to prevent falls while maintaining physical activity.

Indexed as

Accidental FallsAccidents, HomeAgedFemaleGlaucomaHumansMaleMiddle AgedMotor ActivityOcular HypertensionProspective StudiesRisk AssessmentSickness Impact ProfileSurveys and QuestionnairesVision DisordersVisual Acuity

Identifiers

PMID30639366
PMCPMC6445769
OpenAlexW2910193539

What OpenQuestion holds

Textmetadata
LicenceTDM
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.