Evidence map›Paper›PMID 29457196›Full record

ReviewCurrent diabetes reports2018

The Landscape of Diabetic Kidney Disease in the United States.

O Kenrik Duru, Tim Middleton, Mona K Tewari, Keith Norris

Abstract readReview
In one paragraph

Review in Current diabetes reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  17. Diabetic Kidney Disease Prevention Care Model Development.Clinical diabetes : a publication of the American Diabetes Association · 2024
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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

4 authors.

O Kenrik DuruDepartment of Medicine, Division of General Internal Medicine/Health Services Research, David Geffen School of Medicine at the University of California, Los Angeles, 10940 Wilshire Blvd, Suite 700, Los Angeles, CA, 90024, USA. Kduru@mednet.ucla.edu.
Tim MiddletonAbbVie, North Chicago, IL, USA.
Mona K TewariAbbVie, North Chicago, IL, USA.
Keith NorrisDepartment of Medicine, Division of General Internal Medicine/Health Services Research, David Geffen School of Medicine at the University of California, Los Angeles, 10940 Wilshire Blvd, Suite 700, Los Angeles, CA, 90024, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThe purposes of this review are to identify population characteristics of important risk factors for the development and progression of diabetic kidney disease (DKD) in the United States and to discuss barriers and opportunities to improve awareness, management, and outcomes in patients with DKD. RECENT

findingsThe major risk factors for the development and progression of DKD include hyperglycemia, hypertension, and albuminuria. DKD disproportionately affects minorities and individuals with low educational and socioeconomic status. Barriers to effective management of DKD include the following: (a) limited patient and healthcare provider awareness of DKD, (b) lack of timely referrals of patients to a nephrologist, (c) low patient healthcare literacy, and (d) insufficient access to healthcare and health insurance. Increased patient and physician awareness of DKD has been shown to enhance patient outcomes. Multifactorial and multidisciplinary interventions targeting multiple risk factors and patient/physician education may provide better outcomes in patients with DKD.

Indexed as

Diabetic NephropathiesDisease ProgressionHumansRisk FactorsUnited StatesAlbuminuriaChronic kidney diseaseDiabetesDiabetic kidney disease

Identifiers

PMID29457196
PMCPMC5817078

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.