Evidence map›Paper›PMID 34433378›Full record

ArticleRenal failure2021

Can uric acid blood levels in renal transplant recipients predict allograft outcome?

Ofer Isakov, Bhanu K Patibandla, Doron Shwartz, Eytan Mor, Kenneth B Christopher, Tammy Hod

Open access · goldAbstract read
In one paragraph

Article in Renal failure, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

6 authors at 4 institutions in 2 countries.

Ofer IsakovDepartment of Internal Medicine "T", Tel Aviv Souraski Medical Center, Tel Aviv University, Tel Aviv, Israel.
Bhanu K PatibandlaDivision of Pulmonary and Critical Care Medicine, Oregon Health and Science University, Portland, OR, USA.
Doron ShwartzDepartment of Nephrology, Souraski Medical Center, Tel Aviv University, Tel Aviv, Israel.
Eytan MorRenal Transplant Center, Sheba Medical Center, Tel Aviv University, Tel Aviv, Israel.
Kenneth B ChristopherRenal Division, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Tammy HodRenal Transplant Center, Sheba Medical Center, Tel Aviv University, Tel Aviv, Israel.
Sheba Medical Center · ILTel Aviv Sourasky Medical Center · ILHarvard University · USOregon Health & Science University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHyperuricemia is common after renal transplantation, especially in those receiving calcineurin inhibitors. Little, however, is known about the relationship between uric acid (UA) levels and allograft outcome.

methodsWe conducted a retrospective single-center analysis (

resultsPatients were divided into 2 groups based on the median UA level measured between 1 and 12 months post-transplant. Those with median UA level ≥ 7 and ≥ 6 mg/dL (

conclusionHyperuricemia was found to be associated with increased death- censored graft loss but not with allograft function. Increased UA levels were not found to be an independent predictor of long-term allograft function despite the known association of hyperuricemia with the progression of cardiovascular and renal disease.

Indexed as

AdultAgedAllograftsFemaleGraft RejectionGraft SurvivalHumansHyperuricemiaIsraelKidney DiseasesKidney TransplantationLinear ModelsMaleMiddle AgedPredictive Value of TestsProportional Hazards ModelsUric AcidHyperuricemiamortalityrenal allograft functionrenal allograft survival

Identifiers

PMID34433378
PMCPMC8405090
OpenAlexW3194750425

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.