Evidence map›Paper›PMID 25944971›Full record

ArticleDisease markers2015

Characterization of clinical and genetic risk factors associated with dyslipidemia after kidney transplantation.

Kazuyuki Numakura, Hideaki Kagaya, Ryohei Yamamoto, Naoki Komine, Mitsuru Saito, Tsuruta Hiroshi, Susumu Akihama, Takamitsu Inoue, Shintaro Narita, Norihiko Tsuchiya and 4 more

Open access · hybridAbstract readClinical Study
In one paragraph

Article in Disease markers, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Review
  3. Dyslipidemia in Transplant Patients: Which Therapy?Journal of clinical medicine · 2022
    Review
  4. Review
  5. Article
  6. 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

14 authors at 2 institutions in 1 country.

Kazuyuki NumakuraDepartment of Urology, Akita University Graduate School of Medicine, Akita 010-8543, Japan.
Hideaki KagayaDepartment of Pharmacy, Akita University Hospital, Akita 010-8543, Japan.
Ryohei YamamotoDepartment of Urology, Akita University Graduate School of Medicine, Akita 010-8543, Japan.
Naoki KomineDepartment of Urology, Akita University Graduate School of Medicine, Akita 010-8543, Japan.
Mitsuru SaitoDepartment of Urology, Akita University Graduate School of Medicine, Akita 010-8543, Japan.
Tsuruta HiroshiDepartment of Urology, Akita University Graduate School of Medicine, Akita 010-8543, Japan.
Susumu AkihamaDepartment of Urology, Akita University Graduate School of Medicine, Akita 010-8543, Japan.
Takamitsu InoueDepartment of Urology, Akita University Graduate School of Medicine, Akita 010-8543, Japan.ORCID 0000-0002-1362-4344
Shintaro NaritaDepartment of Urology, Akita University Graduate School of Medicine, Akita 010-8543, Japan.
Norihiko TsuchiyaDepartment of Urology, Akita University Graduate School of Medicine, Akita 010-8543, Japan.
Tomonori HabuchiDepartment of Urology, Akita University Graduate School of Medicine, Akita 010-8543, Japan.
Takenori NiiokaDepartment of Pharmacy, Akita University Hospital, Akita 010-8543, Japan.
Masatomo MiuraDepartment of Pharmacy, Akita University Hospital, Akita 010-8543, Japan.
Shigeru SatohCenter for Kidney Disease and Transplantation, Akita University Hospital, Akita 010-8543, Japan.
Akita University · JPAkita University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We determined the prevalence of dyslipidemia in a Japanese cohort of renal allograft recipients and investigated clinical and genetic characteristics associated with having the disease. In total, 126 patients that received renal allograft transplants between February 2002 and August 2011 were studied, of which 44 recipients (34.9%) were diagnosed with dyslipidemia at 1 year after transplantation. Three clinical factors were associated with a risk of having dyslipidemia: a higher prevalence of disease observed among female than male patients (P = 0.021) and treatment with high mycophenolate mofetil (P = 0.012) and prednisolone (P = 0.023) doses per body weight at 28 days after transplantation. The genetic association between dyslipidemia and 60 previously described genetic polymorphisms in 38 putative disease-associated genes was analyzed. The frequency of dyslipidemia was significantly higher in patients with the glucocorticoid receptor (NR3C1) Bcl1 G allele than in those with the CC genotype (P = 0.001). A multivariate analysis revealed that the NR3C1 Bcl1 G allele was a significant risk factor for the prevalence of dyslipidemia (odds ratio = 4.6; 95% confidence interval = 1.8-12.2). These findings may aid in predicting a patient's risk of developing dyslipidemia.

Indexed as

AdultAgedCase-Control StudiesDyslipidemiasFemaleHumansImmunosuppressive AgentsKidney TransplantationMaleMiddle AgedMycophenolic AcidPolymorphism, Single NucleotidePrednisolonePrevalenceReceptors, GlucocorticoidRisk FactorsImmunosuppressive AgentsMycophenolic AcidNR3C1 protein, humanPrednisoloneReceptors, Glucocorticoid

Identifiers

PMID25944971
PMCPMC4402561
OpenAlexW1994440963

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.