Evidence mapPaperPMID 34562311Full record

ArticleCPT: pharmacometrics & systems pharmacology2021

A multistate transition model for statin-induced myopathy and statin discontinuation.

Yuxi Zhu, Chien-Wei Chiang, Lei Wang, Guy Brock, M Wesley Milks, Weidan Cao, Pengyue Zhang, Donglin Zeng, Macarius Donneyong, Lang Li

Abstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2021. 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
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

5 citing papers in PubMed.

  1. Article
  2. Gene Editing for the Treatment of Hypercholesterolemia.Current atherosclerosis reports · 2024
    Review
  3. Factors Associated with Sarcopenia in Patients with Chronic Kidney Disease: A Cross-Sectional Single-Center Study.Medical science monitor : international medical journal of experimental and clinical research · 2023
    Article
  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

10 authors.

Yuxi ZhuDivision of Biostatistics, College of Public Health, The Ohio State University, Columbus, Ohio, USA.
Chien-Wei ChiangDepartment of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio, USA.
Lei WangDepartment of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio, USA.
Guy BrockDepartment of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio, USA.
M Wesley MilksDepartment of Internal Medicine, College of Medicine, The Ohio State University, Columbus, Ohio, USA.
Weidan CaoDepartment of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio, USA.
Pengyue ZhangBiostatistics, School of Medicine, Indiana University, Indianapolis, Indiana, USA.
Donglin ZengDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Macarius DonneyongDivision of Pharmacy Practice and Science, College of Pharmacy, The Ohio State University, Columbus, Ohio, USA.
Lang LiDepartment of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio, USA.

Funding

Statistical and Machine Learning Methods to Improve Dynamic Treatment Regimens Estimation Using Real World Data.R01GM124104 · UNIVERSITY OF MICHIGAN AT ANN ARBOR · 2025 to 2025
$362k
National Science Foundation NSF1622526NCATS NIH HHS UL1 TR002733NIGMS NIH HHS R01 GM124104
6 · The paper itself

Abstract

The overarching goal of this study was to simultaneously model the dynamic relationships among statin exposure, statin discontinuation, and potentially statin-related myopathic outcomes. We extracted data from the Indiana Network of Patient Care for 134,815 patients who received statin therapy between January 4, 2004, and December 31, 2008. All individuals began statin treatment, some discontinued statin use, and some experienced myopathy and/or rhabdomyolysis while taking the drug or after discontinuation. We developed a militate model to characterize 12 transition probabilities among six different states defined by use or discontinuation of statin and its associated myopathy or rhabdomyolysis. We found that discontinuation of statin therapy was common and frequently early, with 44.4% of patients discontinuing therapy after 1 month, and discontinuation is a strong indicator for statin-induced myopathy (risk ratio, 10.8; p < 0.05). Women more likely than men (p < 0.05) and patients aged 65 years and older had a higher risk than those aged younger than 65 years to discontinue statin use or experience myopathy. In conclusion, we introduce an innovative multistate model that allows clear depiction of the relationship between statin discontinuation and statin-induced myopathy. For the first time, we have successfully demonstrated and quantified the relative risk of myopathy between patients who continued and discontinued statin therapy. Age and sex were two strong risk factors for both statin discontinuation and incident myopathy.

Indexed as

DeprescriptionsAgedAge FactorsFemaleHumansHydroxymethylglutaryl-CoA Reductase InhibitorsMaleMiddle AgedModels, StatisticalMuscular DiseasesRhabdomyolysisSex FactorsHydroxymethylglutaryl-CoA Reductase Inhibitors

Identifiers

PMID34562311
PMCPMC8520747

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.