Evidence map›Paper›PMID 25664242›Full record

ArticleWorld journal of nephrology2015

Nephroprevention in the oldest old with chronic kidney disease: Special considerations.

Carlos G Musso, Manuel Vilas, Macaulay Onuigbo

Open access · hybridAbstract read
In one paragraph

Article in World journal of nephrology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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

3 authors at 1 institution in 2 countries.

Carlos G MussoCarlos G Musso, Manuel Vilas, Nephrology Division, Hospital Italiano de Buenos Aires, C1181ACH Ciudad Autónoma de Buenos Aires, Province of Buenos Aires, Argentina.
Manuel VilasCarlos G Musso, Manuel Vilas, Nephrology Division, Hospital Italiano de Buenos Aires, C1181ACH Ciudad Autónoma de Buenos Aires, Province of Buenos Aires, Argentina.
Macaulay OnuigboCarlos G Musso, Manuel Vilas, Nephrology Division, Hospital Italiano de Buenos Aires, C1181ACH Ciudad Autónoma de Buenos Aires, Province of Buenos Aires, Argentina.
Hospital Italiano de Buenos Aires · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nephroprevention strategies are crucial for handling chronic kidney disease (CKD) complications, and slowing its progression. However, these preventative measures should be guided by major geriatrics principles in order to help nephrologists to adequately handle the oldest old with CKD. These geriatric concepts consist of taking into account the relevance of choosing an individualized therapy, handling clinical frailty, and keeping a geriatric perspective which means that a good quality of life is sometimes a more important therapeutic objective in octogenarians than merely prolonging life. Even though nephroprevention strategies for treating the oldest old with CKD are basically similar to those applied to younger patients such as low sodium and protein diet, optimized hemoglobin levels, blood pressure and metabolic control, the treating physician or care provider must at all times be ready to make fundamental adjustments and tweak patient care paradigms and objectives if and when the initial therapeutic options applied have caused unintended clinical consequences and complications. Additionally, the sarcopenia status should also be evaluated and treated in very old CKD patients.

Indexed as

Chronic kidney diseaseChronic nephropathyNephropreventionOldest oldVery old

Identifiers

PMID25664242
PMCPMC4317619
OpenAlexW2328989658

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.