Evidence map›Paper›PMID 28604601›Full record

ReviewInternational journal of molecular sciences2017

Personalized Medicine: New Perspectives for the Diagnosis and the Treatment of Renal Diseases.

Anna Gluba-Brzózka, Beata Franczyk, Robert Olszewski, Maciej Banach, Jacek Rysz

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

5 authors.

Anna Gluba-BrzózkaDepartment of Nephrology, Hypertension and Family Medicine, WAM Teaching Hospital, Lodz 90-549, Poland. aniagluba@yahoo.pl.
Beata FranczykDepartment of Nephrology, Hypertension and Family Medicine, Medical University of Lodz, Lodz 90-549, Poland. bfranczyk-skora@wp.pl.
Robert OlszewskiDepartment of Ultrasound, Institute of Fundamental Technological Research, Polish Academy of Sciences (IPPT PAN), Warsaw 02-106, Poland. robert.olszewski@me.com.
Maciej BanachDepartment of Hypertension, Medical University of Lodz, Lodz 90-549, Poland. maciej.banach@umed.lodz.pl.
Jacek RyszDepartment of Nephrology, Hypertension and Family Medicine, Medical University of Lodz, Lodz 90-549, Poland. jacek.rysz@umed.lodz.pl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence of renal diseases is rising and reaching 5-15% of the adult population. Renal damage is associated with disturbances of body homeostasis and the loss of equilibrium between exogenous and endogenous elements including drugs and metabolites. Studies indicate that renal diseases are influenced not only by environmental but also by genetic factors. In some cases the disease is caused by mutation in a single gene and at that time severity depends on the presence of one or two mutated alleles. In other cases, renal disease is associated with the presence of alteration within a gene or genes, but environmental factors are also necessary for the development of disease. Therefore, it seems that the analysis of genetic aspects should be a natural component of clinical and experimental studies. The goal of personalized medicine is to determine the right drug, for the right patient, at the right time. Whole-genome examinations may help to change the approach to the disease and the patient resulting in the creation of "personalized medicine" with new diagnostic and treatment strategies designed on the basis of genetic background of each individual. The identification of high-risk patients in pharmacogenomics analyses will help to avoid many unwarranted side effects while optimizing treatment efficacy for individual patients. Personalized therapies for kidney diseases are still at the preliminary stage mainly due to high costs of such analyses and the complex nature of human genome. This review will focus on several areas of interest: renal disease pathogenesis, diagnosis, treatment, rate of progression and the prediction of prognosis.

Indexed as

BiomarkersDrug-Related Side Effects and Adverse ReactionsHumansKidney DiseasesPharmacogeneticsPrecision MedicinePrognosisTreatment OutcomeBiomarkersbiomarkersdiagnosispersonalized medicinerenal diseasestreatment

Identifiers

PMID28604601
PMCPMC5486071

What OpenQuestion holds

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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.