Evidence map›Paper›PMID 25996092›Full record

ArticleMMWR. Morbidity and mortality weekly report2015

Geographic disparity of severe vision loss - United States, 2009-2013.

Karen A Kirtland, Jinan B Saaddine, Linda S Geiss, Ted J Thompson, Mary F Cotch, Paul P Lee, Centers for Disease Control and Prevention (CDC)

Open access · greenAbstract read
In one paragraph

Article in MMWR. Morbidity and mortality weekly report, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.4field-weighted citation impact, top 30% 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

12 citing papers in PubMed, 26 citations in OpenAlex.

  1. Manhattan Vision Screening and Follow-Up Study (NYC-SIGHT): optometric exam improves access and utilization of eye care services.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2024
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  11. Economic Inequality in Presenting Vision in Shahroud, Iran: Two Decomposition Methods.International journal of health policy and management · 2018
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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

7 authors.

Karen A Kirtland
Jinan B Saaddine
Linda S Geiss
Ted J Thompson
Mary F Cotch
Paul P Lee
Centers for Disease Control and Prevention (CDC)

Funding

Vision In NhanesZIAEY000402 · NEI · NATIONAL EYE INSTITUTE · PI COTCH, MARY FRANCES · 2009 to 2020
$356k
Vision In NHANESZ01EY000402 · NEI · NATIONAL EYE INSTITUTE · PI COTCH, MARY FRANCES · 2002 to 2008
$148k
Intramural NIH HHS Z01 EY000402Intramural NIH HHS Z99 EY999999Intramural NIH HHS ZIA EY000402
6 · The paper itself

Abstract

Vision loss and blindness are among the top 10 disabilities in the United States, causing substantial social, economic, and psychological effects, including increased morbidity, increased mortality, and decreased quality of life.* There are disparities in vision loss based on age, sex, race/ethnicity, socioeconomic status, and geographic location. Current surveillance activities using national and state surveys have characterized vision loss at national and state levels. However, there are limited data and research at local levels, where interventions and policy decisions to reduce the burden of vision loss and eliminate disparities are often developed and implemented. CDC analyzed data from the American Community Survey (ACS) to estimate county-level prevalence of severe vision loss (SVL) (being blind or having serious difficulty seeing even when wearing glasses) in the United States and to describe its geographic pattern and its association with poverty level. Distinct geographic patterns of SVL prevalence were found in the United States; 77.3% of counties in the top SVL prevalence quartile (≥4.2%) were located in the South. SVL was significantly correlated with poverty (r = 0.5); 437 counties were in the top quartiles for both SVL and poverty, and 83.1% of those counties were located in southern states. A better understanding of the underlying barriers and facilitators of access and use of eye care services at the local level is needed to enable the development of more effective interventions and policies, and to help planners and practitioners serve the growing population with and at risk for vision loss more efficiently.

Indexed as

Health Status DisparitiesSeverity of Illness IndexBlindnessGeographyHumansPovertyUnited StatesVision Disorders

Identifiers

PMID25996092
PMCPMC4547563
OpenAlexW2340884149

What OpenQuestion holds

Textmetadata
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.