Evidence mapPaperPMID 39192158Full record

ArticleInternational journal of clinical pharmacy2024

Post-marketing pharmacovigilance study of inclisiran: mining and analyzing adverse event data from the FDA Adverse Event Reporting System database.

Dan Zou, Qiaozhi Hu, Ying Liu, Lei Yu

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Article in International journal of clinical pharmacy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  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

4 authors.

Dan ZouDepartment of Pharmacy, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Qiaozhi HuDepartment of Pharmacy, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Ying LiuDepartment of Pharmacy, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Lei YuDepartment of Pharmacy, West China Hospital, Sichuan University, Chengdu, Sichuan, China. yulei83@wchscu.cn.ORCID http://orcid.org/0009-0001-6616-5305

Funding

Natural Science Foundation of Sichuan Province 2023NSFSC1696
6 · The paper itself

Abstract

backgroundInclisiran, the newest lipid-lowering drug, has not shown significant safety problems in major clinical studies. However, its recent market introduction and limited clinical use have produced few reports of adverse reactions, leaving a comprehensive understanding of its long-term safety yet to be established.

aimThe aim of the study was to conduct a signal detection analysis of adverse events (AEs) associated with inclisiran using FDA Adverse Event Reporting System (FAERS) datasets.

methodData on AEs associated with inclisiran were collected from the FAERS database from 2021 to 2023. Signal detection was conducted using the reporting odds ratio (ROR) and the information component (IC). The analysis was standardized using the Medical Dictionary for Regulatory Activities (MedDRA) and focused on System Organ Classes (SOCs) and Preferred Terms.

resultsOf 17,307,196 AE reports, 2976 were relevant to inclisiran. The male-to-female ratio of these events was 0.74:1, predominantly in patients aged 45 to 74 years. A total of 102 AE signals associated with inclisiran were identified in 15 SOCs. Among these, 86 involved muscle injuries, liver injuries, diabetes, neurocognitive dysfunction, and other events not listed on the drug label.

conclusionThe findings confirm all AEs documented on the drug label and in current clinical trials while also revealing new AEs such as muscle pain, elevated liver enzymes, increased blood glucose levels, and neurocognitive dysfunction. This study contributes to real-world research data, providing valuable references for rational drug use.

Indexed as

Adverse Drug Reaction Reporting SystemsDatabases, FactualData MiningPharmacovigilanceUnited States Food and Drug AdministrationAdolescentAdultAgedDrug-Related Side Effects and Adverse ReactionsFemaleHumansHypolipidemic AgentsMaleMiddle AgedProduct Surveillance, PostmarketingUnited StatesHypolipidemic AgentsAdverse eventsFAERSInclisiranPharmacovigilance

Identifiers

What Socratic holds

Textmetadata
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.