Evidence map›Paper›PMID 36894586›Full record

ArticleScientific reports2023

Longitudinal uric acid has nonlinear association with kidney failure and mortality in chronic kidney disease.

Mathilde Prezelin-Reydit, Christian Combe, Denis Fouque, Luc Frimat, Christian Jacquelinet, Maurice Laville, Ziad A Massy, Céline Lange, Carole Ayav, Roberto Pecoits-Filho and 5 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
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  7. 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

15 authors at 8 institutions in 3 countries.

Mathilde Prezelin-ReyditINSERM, Bordeaux Population Health Research Center, UMR1219, Univ Bordeaux, Bordeaux, France. mathilde.reydit@maisondurein-aurad.fr.
Christian CombeDepartment of Nephrology Dialysis Transplantation, Centre Hospitalier Universitaire de Bordeaux, Bordeaux, France.
Denis FouqueNephrology Department, Centre Hospitalier Lyon Sud, Université de Lyon, Carmen, Pierre-Bénite, France.
Luc FrimatNephrology Department, Centre Hospitalier Régional Universitaire de Nancy, Vandoeuvre-lès-Nancy, France.
Christian JacquelinetCenter for Research in Epidemiology and Population Health (CESP), Clinical Epidemiology Team, Paris-Saclay University, Paris-Sud University, Versailles Saint-Quentin-en-Yvelines University, Villejuif, France.
Maurice LavilleCarmen INSERM U1060, Université Claude Bernard Lyon 1, Pierre-Bénite, France.
Ziad A MassyCenter for Research in Epidemiology and Population Health (CESP), Clinical Epidemiology Team, Paris-Saclay University, Paris-Sud University, Versailles Saint-Quentin-en-Yvelines University, Villejuif, France.
Céline LangeCenter for Research in Epidemiology and Population Health (CESP), Clinical Epidemiology Team, Paris-Saclay University, Paris-Sud University, Versailles Saint-Quentin-en-Yvelines University, Villejuif, France.
Carole AyavCHRU-Nancy, INSERM, Université de Lorraine, CIC, Epidémiologie Clinique, 54000, Nancy, France.
Roberto Pecoits-FilhoArbor Research Collaborative for Health, Ann Arbor, MI, USA.
Sophie LiabeufCenter for Research in Epidemiology and Population Health (CESP), Clinical Epidemiology Team, Paris-Saclay University, Paris-Sud University, Versailles Saint-Quentin-en-Yvelines University, Villejuif, France.
Bénédicte StengelCenter for Research in Epidemiology and Population Health (CESP), Clinical Epidemiology Team, Paris-Saclay University, Paris-Sud University, Versailles Saint-Quentin-en-Yvelines University, Villejuif, France.
Jérôme HarambatINSERM, Bordeaux Population Health Research Center, UMR1219, Univ Bordeaux, Bordeaux, France.
Karen LeffondréINSERM, Bordeaux Population Health Research Center, UMR1219, Univ Bordeaux, Bordeaux, France.
CKD-REIN study group
Université Paris-Sud · FRUniversité de Bordeaux · FRUniversité Claude Bernard Lyon 1 · FRCentre Hospitalier Régional et Universitaire de Nancy · FRCentre Hospitalier Universitaire Amiens-Picardie · FRInserm · FRPontifícia Universidade Católica do Paraná · BRUniversité Toulouse III - Paul Sabatier · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the shape of the relationship between longitudinal uric acid (UA) and the hazard of kidney failure and death in chronic kidney disease (CKD) patients, and attempted to identify thresholds associated with increased hazards. We included CKD stage 3-5 patients from the CKD-REIN cohort with one serum UA measurement at cohort entry. We used cause-specific multivariate Cox models including a spline function of current values of UA (cUA), estimated from a separate linear mixed model. We followed 2781 patients (66% men, median age, 69 years) for a median of 3.2 years with a median of five longitudinal UA measures per patient. The hazard of kidney failure increased with increasing cUA, with a plateau between 6 and 10 mg/dl and a sharp increase above 11 mg/dl. The hazard of death had a U-shape relationship with cUA, with a hazard twice higher for 3 or 11 mg/dl, compared to 5 mg/dl. In CKD patients, our results indicate that UA above 10 mg/dl is a strong risk marker for kidney failure and death and that low UA levels below 5 mg/dl are associated with death before kidney failure.

Indexed as

Kidney Failure, ChronicRenal Insufficiency, ChronicAgedFemaleHumansMaleProportional Hazards ModelsRisk FactorsUric AcidUric Acid

Identifiers

PMID36894586
PMCPMC9998636
OpenAlexW4323662027

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.