Evidence map›Paper›PMID 32334525›Full record

Observational studyBMC cardiovascular disorders2020

Time trends analysis of statin prescription prevalence, therapy initiation, dose intensity, and utilization from the hospital information system of Jinshan Hospital, Shanghai (2012-2018).

Yujuan Liu, Xiaoqun Lv, Ning Xie, Zhonghong Fang, Weifang Ren, Yuan Gong, Yan Jin, Jun Zhang

Open access · goldFull text readObservational Study
In one paragraph

Observational study in BMC cardiovascular disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 28 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. The Global Burden of premature cardiovascular disease, 1990-2019.International journal of cardiology. Cardiovascular risk and prevention · 2023
    Article
  10. Article
  11. Article
  12. The frequency of rs2231142 inPharmacogenomics · 2023
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

8 authors at 3 institutions in 2 countries.

Yujuan LiuDepartment of Clinical Pharmacy, Jinshan Hospital Affiliated to Fudan University, Shanghai, 201508, China.ORCID 0000-0002-1172-4886
Xiaoqun LvDepartment of Clinical Pharmacy, Jinshan Hospital Affiliated to Fudan University, Shanghai, 201508, China.
Ning XieDepartment of Clinical Pharmacy, Zhongshan Hospital Qingpu Branch Affiliated to Fudan University, Shanghai, 201799, China.
Zhonghong FangDepartment of Clinical Pharmacy, Jinshan Hospital Affiliated to Fudan University, Shanghai, 201508, China.
Weifang RenDepartment of Clinical Pharmacy, Jinshan Hospital Affiliated to Fudan University, Shanghai, 201508, China.
Yuan GongDepartment of Clinical Pharmacy, Jinshan Hospital Affiliated to Fudan University, Shanghai, 201508, China.
Yan JinShihua Community Health Service Center, Jinshan District, Shanghai, 200540, China. kokolo2000@163.com.
Jun ZhangDepartment of Clinical Pharmacy, Jinshan Hospital Affiliated to Fudan University, Shanghai, 201508, China. zjhlj2006@163.com.
Jinshan Hospital of Fudan University · CNCommunity Health Center · USFudan University · CN

Funding

Health Commission of Jinshan district, Shanghai JSKJ-KTMS-2019-17Qinglan Project of Jiangsu Province of China (CN) 2018-JSYYQH-05
6 · The paper itself

Abstract

backgroundStatin remains a mainstay in the prevention and treatment of cardiovascular diseases. Statin utilization has evolved over time in many countries, but data on this topic from China are quite limited. This study aimed to investigate the changing trends of statins prescription, as well as detail the statin utilization through a successive longitudinal study.

methodsThe prescription database was established based on electronic health records retrieved from the hospital information system of Jinshan Hospital, Fudan University from January 2012 to December 2018 in Shanghai, China. The prescription rates and proportions of different statin types and doses among all patients were examined. Sub-analyses were performed when stratifying the patients by age, gender, dose intensity, and preventative intervention.

resultsDuring the study period, a total of 51,083 patients, who were prescribed for statins, were included in this study (mean [SD] age, 59.78 [±13.16] years; 53.60% male, n = 27, 378). The overall statins prescription rate in which patients increased from 2012 (1.24, 95% CI: 1.21-1.27%) to 2018 (3.16, 95% CI: 3.11-3.20%), P < 0.001. Over 90% of patients were given a moderate dose of statins. Patients with a history of coronary and cerebrovascular events (over 32%) were more likely to be prescribed with statins for preventative intervention. Furthermore, our study has witnessed a significant rise in statin therapy in primary and secondary prevention.

conclusionsIn conclusion, statins were frequently prescribed and steadily increased over time in our study period. There were also changes in statin drug choices and dosages. A coordinated effort among the patient, clinical pharmacist, stakeholders and health system is still needed to improve statin utilization in clinical practice in the future.

Indexed as

Hospital Information SystemsPharmacy Service, HospitalAdolescentAdultAgedAged, 80 and overBiomarkersCardiovascular DiseasesChinaCross-Sectional StudiesDrug PrescriptionsDrug UtilizationDyslipidemiasFemaleHumansHydroxymethylglutaryl-CoA Reductase InhibitorsBiomarkersHydroxymethylglutaryl-CoA Reductase InhibitorsLipidsCardiovascular diseaseInitiationPrevalencePreventative interventionStatins

Identifiers

PMID32334525
PMCPMC7183656
OpenAlexW3018563872

What Socratic holds

Textfull text, public
LicenceCC BY
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 Socratic graph.