Evidence map›Paper›PMID 16155738›Full record

ArticleJournal of human genetics2005

A model of prediction system for adverse cardiovascular reactions by calcineurin inhibitors among patients with renal transplants using gene-based single-nucleotide polymorphisms.

Taisei Mushiroda, Susumu Saito, Yukiko Tanaka, Junichi Takasaki, Naoyuki Kamatani, Yoshifumi Beck, Hideaki Tahara, Yusuke Nakamura, Yozo Ohnishi

Open access · bronzeAbstract readComparative Study
PubMed Publisher
In one paragraph

Article in Journal of human genetics, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Long- and short-term outcomes in renal allografts with deceased donors: A large recipient and donor genome-wide association study.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2018
    Article
  3. Review
  4. Article
  5. 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

9 authors at 1 institution in 1 country.

Taisei MushirodaLaboratory for Pharmacogenetics, SNP Research Center, The Institute of Physical and Chemical Research (RIKEN), Tokyo, Japan.
Susumu SaitoLaboratory for SNP Analysis, SNP Research Center, The Institute of Physical and Chemical Research (RIKEN), 4-6-1 Shirokanedai, Minato-ku, Tokyo, 108-8639, Japan.
Yukiko TanakaDepartment of Surgery and Bioengineering, Advanced Clinical Research Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan.
Junichi TakasakiLaboratory of Statistical Analysis, SNP Research Center, The Institute of Physical and Chemical Research (RIKEN), Tokyo, Japan.
Naoyuki KamataniLaboratory of Statistical Analysis, SNP Research Center, The Institute of Physical and Chemical Research (RIKEN), Tokyo, Japan.
Yoshifumi BeckDepartment of Surgery and Bioengineering, Advanced Clinical Research Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan.
Hideaki TaharaDepartment of Surgery and Bioengineering, Advanced Clinical Research Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan.
Yusuke NakamuraLaboratory for Pharmacogenetics, SNP Research Center, The Institute of Physical and Chemical Research (RIKEN), Tokyo, Japan.
Yozo OhnishiLaboratory for SNP Analysis, SNP Research Center, The Institute of Physical and Chemical Research (RIKEN), 4-6-1 Shirokanedai, Minato-ku, Tokyo, 108-8639, Japan. ohnishi@ims.u-tokyo.ac.jp.
RIKEN · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The application of pharmacogenomic information to diagnostic assays is expected to improve the prediction of drug efficacy and toxicity, leading to appropriate therapeutic regimens for individual patients. Cardiovascular events are common and severe adverse drug reactions (ADRs) among transplant patients treated with calcineurin inhibitors (CNIs). We conducted case-control association studies using 50,947 gene-based single-nucleotide polymorphisms (SNPs) to identify genetic variations that might be associated with cardiovascular risk factors in 72 renal transplant recipients with CNI therapy. The overall incidence of cardiovascular events was 13.9% (10/72) among patients receiving cyclosporine or tacrolimus; arrhythmias in six patients (8.3%), ischemic heart diseases in two patients (2.8%), and heart failure in two patients (2.8%). On the basis of results of the genome-wide association studies, we attempted to establish a scoring system to predict individual risks for cardiovascular toxicity of cyclosporine and tacrolimus. Estimation of the predictive performance was carried out by the use of internal leave-one-out cross-validation test. When we combined arrhythmia, ischemic heart disease and heart failure cases as subjects with a cardiotoxicity phenotype, nine of ten ADR patients and 50 of 62 non-ADR patients were correctly classified into the respective categories using the top eight SNPs. In addition, the proportion of individuals in the control population (n=246) with scores over the cut-off (11.0%) was close to the cardiovascular ADR frequency (8.3%) among renal transplant patients in the previous clinical study. Our results open the possibility that prediction of CNI-induced cardiovascular complications can lead to better prognosis and quality of life among kidney-transplant patients, and to improved immunosuppressive regimens.

Indexed as

Calcineurin InhibitorsGenetic Predisposition to DiseaseKidney TransplantationCardiovascular DiseasesCase-Control StudiesCyclosporineGenetic VariationHumansPharmacogeneticsPolymorphism, Single NucleotidePrognosisRisk FactorsTacrolimusCalcineurin InhibitorsCyclosporineTacrolimus

Identifiers

PMID16155738
OpenAlexW2027666100

What OpenQuestion holds

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Read underepoch 390

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.