Evidence map›Paper›PMID 28339633›Full record

ArticleNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association2018

Osmotic indices and kidney concentrating activity: population-based data on correlates and prognostic power.

Massimo Cirillo, Giancarlo Bilancio, Cinzia Lombardi, Pierpaolo Cavallo, Oscar Terradura Vagnarelli, Alberto Zanchetti, Martino Laurenzi

Open access · bronzeAbstract read
In one paragraph

Article in Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 2018. 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
0.5field-weighted citation impact, top 30% 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. Article
  2. Article
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

7 authors at 4 institutions in 1 country.

Massimo CirilloDepartment 'Scuola Medica Salernitana', University of Salerno, Baronissi, Italy.
Giancarlo BilancioDepartment 'Scuola Medica Salernitana', University of Salerno, Baronissi, Italy.
Cinzia LombardiRummo Hospital, Benevento, Italy.
Pierpaolo CavalloDepartment of Physics, University of Salerno, Fisciano (SA), Italy.
Oscar Terradura VagnarelliCentro Studi Epidemiologici di Gubbio, Gubbio, Italy.
Alberto ZanchettiIstituto Auxologico Italiano, University of Milan, Milan, Italy.
Martino LaurenziCentro Studi Epidemiologici di Gubbio, Gubbio, Italy.
University of Salerno · ITCentro Studi GISED · ITAzienda Ospedaliera G.Rummo · ITUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Research data are limited on indices of osmotic equilibrium and of kidney concentrating activity (KCA). This study investigated correlates and prognostic power of these indices in a sample of the general population. Methods: Urine osmolality (U-osm), plasma osmolality (P-osm), plasma creatinine and other variables were measured by the Gubbio Study for the 1988-92 exam (baseline). Plasma creatinine and other variables were re-measured in the 2001-07 exam (follow-up). KCA was assessed as the U-osm/P-osm ratio and kidney function as estimated glomerular filtration rate (eGFR). Results: Baseline data were complete in 4220 adults, of whom 852 died before follow-up and 2795 participated in the follow-up. At baseline, the following independent cross-sectional associations were identified: female sex and higher urine flow with lower values of U-osm, P-osm and U-osm/P-osm ratio (P < 0.01); obesity with higher values of U-osm, P-osm and U-osm/P-osm ratio (P < 0.01); older age and lower eGFR with lower U-osm, lower U-osm/P-osm ratio and higher P-osm (P < 0.05); hypertension and smoking with lower U-osm and lower U-osm/P-osm ratio (P < 0.05) but not with P-osm. From baseline to follow-up, the annualized rate was 1.26% for mortality and -0.74 ± 0.76 mL/min × 1.73 m2 for eGFR change. Mortality was independently predicted by baseline U-osm and baseline U-osm/P-osm ratio (hazard ratio for one higher standard deviation was ≤0.91, 95% confidence interval was ≤0.97, P < 0.01), but not by baseline P-osm. The eGFR change was not independently predicted by baseline values of U-osm, P-osm and U-osm/P-osm ratio (P ≥ 0.4). Conclusions: Sex, age, obesity, eGFR, urine flow, hypertension and smoking independently associated with U-osm and KCA. U-osm and KCA independently predicted mortality, but not kidney function change over time.

Indexed as

Glomerular Filtration RatePopulation SurveillanceAdolescentAdultAgedCohort StudiesCross-Sectional StudiesFemaleHumansKidneyKidney Function TestsMaleMiddle AgedOsmolar ConcentrationPrognosisYoung Adultkidney functionmortalityosmolalityurine concentration

Identifiers

PMID28339633
PMCPMC5837546
OpenAlexW2584067444

What OpenQuestion holds

Textmetadata
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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.