Evidence map›Paper›PMID 25993909›Full record

ArticleInternational urology and nephrology2015

Are currently GFR estimating equations and standard Kt/V value adequate for advanced chronic kidney disease (CKD) frail elderly patients?

Carlos G Musso, Joaquin Alvarez-Gregori, Jose Jauregui, Juan F Macías Núñez

Abstract readLetter
PubMed Publisher
In one paragraph

Article in International urology and nephrology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Effects ofClinical kidney journal · 2024
    Article
  2. Senescent Nephropathy: The New Renal Syndrome.Healthcare (Basel, Switzerland) · 2017
    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

4 authors at 3 institutions in 2 countries.

Carlos G MussoAgeing Biology Unit, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina, carlos.musso@hospitalitaliano.org.ar.
Joaquin Alvarez-Gregori
Jose Jauregui
Juan F Macías Núñez
Hospital Italiano de Buenos Aires · ARComplejo Hospitalario de Salamanca · ESHospital General Nuestra Señora del Prado · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic kidney disease (CKD) elderly patients have a reduced glomerular filtration rate (GFR) due to the combination of ageing and chronic nephropathy damage. This situation is very important to be taken into account in order to prescribe an adequate medication and dialysis dose in this aged group. Besides, cognitive and urinary incontinence problems make difficult to obtain an adequate 24-h urine collection in order to evaluate creatinine clearance in this group. Thus, a reliable GFR estimating equation would be very useful for assisting elderly CKD patients. Additionally, Kt/V is the main parameter currently used for dosing dialysis in stage V CKD young and elderly patients. However, frailty and sarcopenia are prevalent disorders usually suffered by old people, who also present many physiological changes that could make GFR estimating equations and standard Kt/V value to become unreliable in this particular group. In conclusion, based on all these facts, it seems crucial for clinical geriatric nephrology to carefully evaluate how reliable current GFR estimating equations are, as well as which would be an adequate Kt/V value in CKD frail elderly patients.

Indexed as

Patient Care ManagementRenal Insufficiency, ChronicRisk AdjustmentAgedAgingDiagnosis, DifferentialFrail ElderlyGeriatric AssessmentGlomerular Filtration RateHumansReproducibility of Results

Identifiers

PMID25993909
OpenAlexW347039629

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.