Evidence map›Paper›PMID 30998912›Full record

ReviewThe American journal of medicine2019

Chronic Kidney Disease in Agricultural Communities.

Russell A Wilke, Mohammad Qamar, Roxana A Lupu, Shaopeng Gu, Jing Zhao

Open access · greenAbstract readReview
In one paragraph

Review in The American journal of medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 18 citations in OpenAlex.

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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

5 authors at 5 institutions in 1 country.

Russell A WilkeDepartment of Internal Medicine, Sanford School of Medicine, University of South Dakota, Vermillion. Electronic address: russell.wilke@usd.edu.
Mohammad QamarDepartment of Nephrology and Transplantation, Sanford Medical Center, Sioux Falls, South Dakota.
Roxana A LupuDepartment of Clinical Informatics, Sanford Medical Center, Sioux Falls, South Dakota.
Shaopeng GuDepartment of Mathematics and Statistics, South Dakota State University, Brookings.
Jing ZhaoDepartment of Biomedical Informatics, The Ohio State University, Columbus.
Sanford Medical Center · USSanford USD Medical Center · USSouth Dakota State University · USThe Ohio State University · USUniversity of South Dakota · US

Funding

Integrated, Individualized, Intelligent Prescribing (I3P)U01HG007253 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI LEVY, MIA A., PETERSON, JOSEPH F. · 2014 to 2018
$4.6M
NHGRI NIH HHS U01 HG007253
6 · The paper itself

Abstract

Patients residing in agricultural communities have a high risk of developing chronic kidney disease. In the Great Plains, geo-environmental risk factors (eg, variable climate, temperature, air quality, water quality, and drought) combine with agro-environmental risk factors (eg, exposure to fertilizers, soil conditioners, herbicides, fungicides, and pesticides) to increase risk for toxic nephropathy. However, research defining the specific influence of agricultural chemicals on the progression of kidney disease in rural communities has been somewhat limited. By linking retrospective clinical data within electronic medical records to environmental data from sources like US Environmental Protection Agency, analytical models are beginning to provide insight into the impact of agricultural practices on the rate of progression for kidney disease in rural communities.

Indexed as

AgricultureGlycineGlyphosateHumansNorth DakotaOccupational ExposurePublic HealthRenal Insufficiency, ChronicRetrospective StudiesSouth DakotaGlycineGlyphosateHeavy metalHerbicidePesticideToxic nephropathy

Identifiers

PMID30998912
PMCPMC6801052
OpenAlexW2936737652

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.