Evidence map›Paper›PMID 33225059›Full record

ArticleTransplantation direct2020

New-Onset Gout as an Independent Risk Factor for Returning to Dialysis After Kidney Transplantation.

Justin W Li, David Yin, Zheng Wang, Mark D Brigham, Brian D LaMoreaux, Jeffrey D Kent, Megan Francis-Sedlak, Richard J Johnson, Nandini Hadker, Kevin M Francis and 2 more

Open access · goldAbstract read
In one paragraph

Article in Transplantation direct, 2020. 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
0.3field-weighted citation impact, top 40% 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, 5 citations in OpenAlex.

  1. Trial
  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

12 authors at 2 institutions in 1 country.

Justin W LiTrinity Life Sciences, Waltham, MA.
David YinTrinity Life Sciences, Waltham, MA.
Zheng WangTrinity Life Sciences, Waltham, MA.
Mark D BrighamTrinity Life Sciences, Waltham, MA.
Brian D LaMoreauxHorizon Therapeutics plc, Medical Affairs, Lake Forest, IL.
Jeffrey D KentHorizon Therapeutics plc, Medical Affairs, Lake Forest, IL.
Megan Francis-SedlakHorizon Therapeutics plc, Medical Affairs, Lake Forest, IL.
Richard J JohnsonDivision of Renal Diseases and Hypertension, University of Colorado, Aurora, CO.
Nandini HadkerTrinity Life Sciences, Waltham, MA.
Kevin M FrancisTrinity Life Sciences, Waltham, MA.
Herman A SanchezTrinity Life Sciences, Waltham, MA.
Gavin MiyasatoTrinity Life Sciences, Waltham, MA.
Trinity Health · USUniversity of Colorado Anschutz Medical Campus · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe causal relationship between gout and renal transplant outcomes is difficult to assess due to multiple interacting covariates. This study sought to estimate the independent effect of new-onset gout on renal transplant outcomes using a methodology that accounted for these interactions.

methodsThis study analyzed data on patients in the US Renal Data System (USRDS) who received a primary kidney transplant between 2008 and 2015. The exposure was new-onset gout, and the primary endpoint was returning to dialysis >12 months postindex date (transplant date). A marginal structural model (MSM) was fitted to determine the relative risk of new-onset gout on return to dialysis.

results18 525 kidney transplant recipients in the USRDS met study eligibility. One thousand three hundred ninety-nine (7.6%) patients developed new-onset gout, and 1420 (7.7%) returned to dialysis >12 months postindex. Adjusting for baseline and time-varying confounders via the MSM showed new-onset gout was associated with a 51% increased risk of return to (RR, 1.51; 95% CI, 1.03-2.20).

conclusionsThis finding suggests that new onset gout after kidney transplantation could be a harbinger for poor renal outcomes, and to our knowledge is the first study of kidney transplant outcomes using a technique that accounted for the dynamic relationship between renal dysfunction and gout.

Identifiers

PMID33225059
PMCPMC7673774
OpenAlexW3109240540

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.