Evidence map›Paper›PMID 31367166›Full record

ArticleEthnicity & disease2019

Brief Report: Characterizing the Burden of Cardiometabolic Disease among Public Housing Residents Served by an Urban Hospital System.

Earle C Chambers, Colin D Rehm

Open access · bronzeAbstract read
In one paragraph

Article in Ethnicity & disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

2 authors at 1 institution in 1 country.

Earle C ChambersDepartment of Family & Social Medicine, Albert Einstein College of Medicine, Bronx, NY.
Colin D RehmOffice of Community & Population Health, Montefiore Health System, Bronx, NY.
Albert Einstein College of Medicine · US

Funding

Urban public housing, neighborhood, and cardiovascular disease in primary careK01HL125466 · NHLBI · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI CHAMBERS, EARLE C · 2015 to 2019
$775k
Housing mobility, hypertension self-management, and healthcare utilization among Bronx LatinosR03HL140265 · NHLBI · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI CHAMBERS, EARLE C · 2017 to 2018
$240k
NHLBI NIH HHS K01 HL125466NHLBI NIH HHS R03 HL140265
6 · The paper itself

Abstract

Objective: Housing status is a primary social determinant of health that is not typically not collected in clinical settings. Residential address data collected during clinical visits can identify patients at high-risk for cardiometabolic disease (CMD) residing in public housing. Design: This study examined CMD and related risk factors among patients living in public housing and a comparison group not living in public housing. Setting: All patients (n=173,568) were receiving primary care in a large hospital system in the Bronx, New York between January 1, 2016 and December 31, 2017. Results: Patients in public housing were more likely to be women, to be Black or Hispanic, and to be on Medicaid compared with patients not living in public housing. Women in public housing were more likely than men to have had a higher prevalence of CMD and related risk factors. Conclusion: The burden of CMD among public housing residents shows sex disparities where women have a higher prevalence of CMD and related risk factors than men.

Indexed as

AdultBlack or African AmericanCardiovascular DiseasesFemaleHispanic or LatinoHospitals, UrbanHumansMaleMiddle AgedNew York CityPrevalencePublic HousingRisk FactorsSocial ClassUrban PopulationCardiometabolic DiseaseElectronic Health Record (EHR)ObesityPublic HousingSmoking

Identifiers

PMID31367166
PMCPMC6645723
OpenAlexW2957233808

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.