Evidence map›Paper›PMID 25092840›Full record

ArticleHealth affairs (Project Hope)2014

Geographic clustering of diabetic lower-extremity amputations in low-income regions of California.

Carl D Stevens, David L Schriger, Brian Raffetto, Anna C Davis, David Zingmond, Dylan H Roby

Open access · greenAbstract read
In one paragraph

Article in Health affairs (Project Hope), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 7% 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

48 citing papers in PubMed, 1 synthesis or guideline pooled it, 85 citations in OpenAlex.

  1. Pooled it
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  17. Incomplete clustering analysis via multiple imputation.Journal of applied statistics · 2023
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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 at 5 institutions in 3 countries.

Carl D StevensCarl D. Stevens (carlstevens@mednet.ucla.edu) is a clinical professor in health sciences, David Geffen School of Medicine at the University of California, Los Angeles (UCLA).
David L SchrigerDavid L. Schriger is a professor at the Center for Emergency Medicine, UCLA.
Brian RaffettoBrian Raffetto is a physician resident in the Department of Emergency Medicine, Keck School of Medicine, University of Southern California, in Los Angeles.
Anna C DavisAnna C. Davis is a PhD student in the Department of Health Policy and Management, Fielding School of Public Health, UCLA.
David ZingmondDavid Zingmond is an associate professor of medicine in the Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine, UCLA.
Dylan H RobyDylan H. Roby is an assistant professor in the Department of Health Policy and Management, Fielding School of Public Health, and director of health economics and evaluation research, UCLA Center for Health Policy Research.
Department of Health Services · USDirectorate General of Health Services · BDUniversidad Autónoma de Chiriquí · PAUniversity of California, Los Angeles · USUniversity of Southern California · US

Funding

UCLA Clinical and Translational Science InstituteTL1TR000121 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$2.7M
NCATS NIH HHS TL1 TR000121NCATS NIH HHS TL1TR000121
6 · The paper itself

Abstract

For patients suffering from diabetes and other chronic conditions, a large body of work demonstrates income-related disparities in access to coordinated preventive care. Much less is known about associations between poverty and consequential negative health outcomes. Few studies have assessed geographic patterns that link household incomes to major preventable complications of chronic diseases. Using statewide facility discharge data for California in 2009, we identified 7,973 lower-extremity amputations in 6,828 adults with diabetes. We mapped amputations based on residential ZIP codes and used data from the Census Bureau to produce corresponding maps of poverty rates. Comparisons of the maps show amputation "hot spots" in lower-income urban and rural regions of California. Prevalence-adjusted amputation rates varied tenfold between high-income and low-income regions. Our analysis does not support detailed causal inferences. However, our method for mapping complication hot spots using public data sources may help target interventions to the communities most in need.

Indexed as

Poverty AreasAgedAmputation, SurgicalCaliforniaCensusesDiabetes ComplicationsFemaleGeography, MedicalHealthcare DisparitiesHumansLower ExtremityMaleMiddle AgedPrevalenceRural PopulationSmall-Area AnalysisChronic CareDisparitiesHealth Promotion/Disease PreventionPublic HealthSafety-Net Systems

Identifiers

PMID25092840
PMCPMC4242846
OpenAlexW2133537013

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.