Evidence map›Paper›PMID 33359151›Full record

ArticleAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2021

Neighborhood Socioeconomic Status and Identification of Patients With CKD Using Electronic Health Records.

Lama Ghazi, J Michael Oakes, Richard F MacLehose, Russell V Luepker, Theresa L Osypuk, Paul E Drawz

Open access · greenAbstract read
In one paragraph

Article in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Social Determinants of Health and ESKD among Survivors of Critical Illness and Acute Kidney Injury.Clinical journal of the American Society of Nephrology : CJASN · 2026
    Observational
  2. Article
  3. Review
  4. Article
  5. Article
  6. Association between Gentrification and Health and Healthcare Utilization.Journal of urban health : bulletin of the New York Academy of Medicine · 2022
    Article
  7. 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

6 authors at 1 institution in 1 country.

Lama GhaziDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN; Division of Renal Diseases and Hypertension, University of Minnesota, Minneapolis, MN. Electronic address: lamaghazi@gmail.com.
J Michael OakesDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN.
Richard F MacLehoseDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN.
Russell V LuepkerDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN.
Theresa L OsypukDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN.
Paul E DrawzDivision of Renal Diseases and Hypertension, University of Minnesota, Minneapolis, MN.
University of Minnesota · US

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR002494 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R, WEISDORF, DANIEL J · 2018 to 2022
$34.9M
Minnesota Population Center Science and Technical CoreP2CHD041023 · NICHD · UNIVERSITY OF MINNESOTA · PI THERESA LOUISE OSYPUK · 2016 to 2026
$4.3M
Health, Neighborhood Context, and MobilityR01HD090014 · NICHD · UNIVERSITY OF MINNESOTA · PI OSYPUK, THERESA LOUISE · 2017 to 2020
$1.9M
Improving Reproducibility by Incorporating UncertaintyR01LM013049 · NLM · EMORY UNIVERSITY · PI LASH, TIMOTHY L. · 2019 to 2022
$1.1M
NCATS NIH HHS UL1 TR002494NICHD NIH HHS P2C HD041023NICHD NIH HHS R01 HD090014NLM NIH HHS R01 LM013049
6 · The paper itself

Abstract

RATIONALE &

objectiveScreening for chronic kidney disease (CKD) is recommended for patients with diabetes and hypertension as stated by the respective professional societies. However, CKD, a silent disease usually detected at later stages, is associated with low socioeconomic status (SES). We assessed whether adding census tract SES status to the standard screening approach improves our ability to identify patients with CKD. STUDY

designScreening test analysis. SETTINGS &

participantsElectronic health records (EHR) of 256,162 patients seen at a health care system in the 7-county Minneapolis/St. Paul area and linked census tract data. EXPOSURE: The first quartile of census tract SES (median value of owner-occupied housing units <$165,200; average household income <$35,935; percentage of residents >25 years of age with a bachelor's degree or higher <20.4%), hypertension, and diabetes. OUTCOMES: CKD (eGFR <60 mL/min/1.73 m ANALYTICAL APPROACH: Sensitivity, specificity, and number needed to screen (NNS) to detect CKD if we screened patients who had hypertension and/or diabetes and/or who lived in low-SES tracts (belonging to the first quartile of any of the 3 measures of tract SES) versus the standard approach.

resultsCKD was prevalent in 13% of our cohort. Sensitivity, specificity, and NNS of detecting CKD after adding tract SES to the screening approach were 67% (95% CI, 66.2%-67.2%), 61% (95% CI, 61.1%-61.5%), and 5, respectively. With the standard approach, sensitivity of detecting CKD was 60% (95% CI, 59.4%-60.4%), specificity was 73% (95% CI, 72.4%-72.7%), and NNS was 4. LIMITATIONS: One health care system and selection bias.

conclusionsLeveraging patients' addresses from the EHR and adding tract-level SES to the standard screening approach modestly increases the sensitivity of detecting patients with CKD at a cost of decreased specificity. Identifying further factors that improve CKD detection at an early stage are needed to slow the progression of CKD and prevent cardiovascular complications.

Indexed as

Electronic Health RecordsResidence CharacteristicsSocial ClassAdultAgedFemaleHumansMaleMass ScreeningMiddle AgedMinnesotaRenal Insufficiency, Chronicchronic kidney disease (CKD)CKD detectiondiabeteseducationelectronic health record (EHR)health disparitieshypertensionincomenumber needed to screen (NNS)provider awarenesssocial determinants of health (SDOH)social environment measurementssocioeconomic status (SES)targeted screening

Identifiers

PMID33359151
PMCPMC10156131
OpenAlexW3115375224

What OpenQuestion holds

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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.