Evidence map›Paper›PMID 25767372›Full record

Trial reportDrug design, development and therapy2015

A pharmacokinetic and pharmacodynamic drug interaction between rosuvastatin and valsartan in healthy subjects.

Jin Ah Jung, Soo-Yun Lee, Jung-Ryul Kim, Jae-Wook Ko, Seong Bok Jang, Su Youn Nam, Wooseong Huh

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Drug design, development and therapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Review
  6. Article
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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

7 authors at 1 institution in 1 country.

Jin Ah JungDepartment of Clinical Pharmacology and Therapeutics, Samsung Medical Center, Sungkyunkwan University, Seoul, Kore.
Soo-Yun LeeDepartment of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Korea.
Jung-Ryul KimDepartment of Clinical Pharmacology and Therapeutics, Samsung Medical Center, Sungkyunkwan University, Seoul, Kore.
Jae-Wook KoDepartment of Clinical Pharmacology and Therapeutics, Samsung Medical Center, Sungkyunkwan University, Seoul, Kore ; Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Korea.
Seong Bok JangYuhan Research Institute, Yuhan Corporation, Sungkyunkwan University School of Medicine, Seoul, Korea.
Su Youn NamYuhan Research Institute, Yuhan Corporation, Sungkyunkwan University School of Medicine, Seoul, Korea.
Wooseong HuhDepartment of Clinical Pharmacology and Therapeutics, Samsung Medical Center, Sungkyunkwan University, Seoul, Kore ; Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Sungkyunkwan University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeValsartan, an angiotensin-receptor blocker, and rosuvastatin, a competitive inhibitor of the 3-hydroxy-3-methylglutaryl coenzyme A reductase, are frequently coadministered to treat patients with hypertension and dyslipidemia. The study reported here sought to evaluate the pharmacokinetic and pharmacodynamic interactions between rosuvastatin and valsartan in healthy Korean subjects. SUBJECTS AND

methodsThirty healthy male Korean subjects were administered with rosuvastatin (20 mg/day), valsartan (160 mg/day), and both drugs concomitantly for 4 days in a randomized, open-label, multiple-dose, three-treatment, three-period crossover study. Plasma concentrations of rosuvastatin, N-desmethyl rosuvastatin, and valsartan were determined using validated high-performance liquid chromatography with tandem mass spectrometry. Lipid profiles and vital signs (systolic and diastolic blood pressure and pulse rate) were measured for the pharmacodynamic assessment.

resultsFor rosuvastatin, the geometric mean ratios (90% confidence intervals [CIs]) of coadministration to mono-administration were 0.8809 (0.7873-0.9857) for maximum plasma concentration at steady state and 0.9151 (0.8632-0.9701) for area under the concentration-time curve (AUC) over a dosing interval at steady state. For valsartan, the geometric mean ratios (90% CIs) of those were 0.9300 (0.7946-1.0884) and 1.0072 (0.8893-1.1406), respectively. There were no significant differences in the metabolic ratio of N-desmethyl rosuvastatin AUC to rosuvastatin AUC between coadministration and rosuvastatin alone. No interaction was found in terms of systolic or diastolic blood pressure or lipid profiles. Combined treatment with valsartan and rosuvastatin was generally well tolerated without serious adverse events.

conclusionThe pharmacokinetic profiles of rosuvastatin and valsartan in combination were comparable with those of rosuvastatin and valsartan administered individually, suggesting that their individual pharmacokinetics were not affected by their coadministration. No dose adjustment was required and the results are supportive of a study in a larger patient population.

Indexed as

AdultCross-Over StudiesDose-Response Relationship, DrugDrug InteractionsHealthy VolunteersHumansMaleMiddle AgedRandom AllocationRosuvastatin CalciumValsartanYoung AdultRosuvastatin CalciumValsartandyslipidemiahypertensionpharmacodynamicspharmacokinetics

Identifiers

PMID25767372
PMCPMC4354399
OpenAlexW2006429186

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.