Evidence map›Paper›PMID 25713711›Full record

ArticleClinical kidney journal2015

Challenges and opportunities in late-stage chronic kidney disease.

Steven Fishbane, Azzour D Hazzan, Candice Halinski, Anna T Mathew

Open access · bronzeAbstract read
In one paragraph

Article in Clinical kidney journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 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

4 authors at 1 institution in 1 country.

Steven FishbaneDepartment of Medicine, Division of Nephrology, Hofstra North Shore LIJ School of Medicine , Great Neck, NY , USA.
Azzour D HazzanDepartment of Medicine, Division of Nephrology, Hofstra North Shore LIJ School of Medicine , Great Neck, NY , USA.
Candice HalinskiDepartment of Medicine, Division of Nephrology, Hofstra North Shore LIJ School of Medicine , Great Neck, NY , USA.
Anna T MathewDepartment of Medicine, Division of Nephrology, Hofstra North Shore LIJ School of Medicine , Great Neck, NY , USA.
Hofstra University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is increasing recognition that chronic diseases are a major challenge for health delivery systems and treasuries. These are highly prevalent and costly diseases and frequency is expected to increase greatly as the population of many countries ages. Chronic kidney disease (CKD) has not received the same attention as other chronic diseases such as congestive heart failure; yet, the prevalence and costs of CKD are substantial. Greater recognition and support for CKD may require that the disease no longer be viewed as one continuous disease state. Early CKD stages require less complex care and generate lower costs. In contrast, late-stage CKD is every bit as complex and costly as other major chronic diseases. Health authorities may not recognize and fund CKD care appropriately until late-stage CKD is defined clearly as separate and distinct from earlier stages of disease. In this review, we describe the burden of chronic diseases, consider the challenges and barriers and propose processes to improve late-stage CKD care. In particular, we recommend the need for improved continuity of care, enhanced use of information technology, multidisciplinary care, timely referral to nephrologists, protocol use and improved patient engagement.

Indexed as

care managementCKDhealth systemslate-stage CKD

Identifiers

PMID25713711
PMCPMC4310430
OpenAlexW2169110251

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.