Evidence map›Paper›PMID 30288082›Full record

ArticlePharmacogenomics and personalized medicine2018

Effects of

Dmitry Sychev, Nadezhda Shikh, Tatiana Morozova, Elena Grishina, Kristina Ryzhikova, Elena Malova

Abstract read
In one paragraph

Article in Pharmacogenomics and personalized medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Association ofFrontiers in cardiovascular medicine · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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.

Dmitry SychevDepartment of Clinical Pharmacology and Therapy, Russian Medical Academy of Continuous Professional Education, Ministry of Healthcare, Moscow, Russia, eumalova@gmail.com.
Nadezhda ShikhDepartment of Clinical Pharmacology and Pharmacotherapy, Institute of Professional Education, I.M. Sechenov First Moscow State Medical University, Ministry of Health of Russia, Moscow, Russia.
Tatiana MorozovaDepartment of Clinical Pharmacology and Pharmacotherapy, Institute of Professional Education, I.M. Sechenov First Moscow State Medical University, Ministry of Health of Russia, Moscow, Russia.
Elena GrishinaResearch Center, Russian Medical Academy of Continuous Professional Education, Ministry of Healthcare, Moscow, Russia.
Kristina RyzhikovaResearch Center, Russian Medical Academy of Continuous Professional Education, Ministry of Healthcare, Moscow, Russia.
Elena MalovaDepartment of Clinical Pharmacology and Therapy, Russian Medical Academy of Continuous Professional Education, Ministry of Healthcare, Moscow, Russia, eumalova@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study was to determine the impact of PATIENTS AND

methodsThe 12-week study included 100 patients. Patients with the newly diagnosed stage I-II hypertension (HT) were recruited to complete genotyping of the RESULTS AND

conclusionThe highest antihypertensive effect in combination with the lowest incidence of adverse reactions was observed in the TT group, while patients with the CC genotype showed a low antihypertensive effect and the highest incidence of adverse effects. Patients with the CC genotype presented with adverse effects predominantly in the form of edema. A total of 33 patients reached the target blood pressure (SBP <140 mmHg; DBP <90 mmHg): two patients with the CC genotype (12%); 18 patients with the CT genotype (34%); and 13 patients with the TT genotype (43%). The intergroup differences were: CC vs CT,

Indexed as

CYP3A5personalizedP-glycoproteinpharmacodynamicsrs1045642side effectssingle-nucleotide polymorphismSNP

Identifiers

PMID30288082
PMCPMC6159808

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.