Evidence map›Paper›PMID 39281579›Full record

ArticleHeliyon2024

Safety profile of levonorgestrel intrauterine system: Analysis of spontaneous reports submitted to FAERS.

Lin Chen, Rui Bao, Xiaojiang Tian

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Lin ChenDepartment of Pharmacy, Women and Children's Hospital of Chongqing Medical University, CHONGQING, 400021, China.
Rui BaoDepartment of Pharmacy, Qinghai Provincial Maternity and Child Health care Hospital, QINGHAI, China. Postal code 817000.
Xiaojiang TianDepartment of Pharmacy, Women and Children's Hospital of Chongqing Medical University, CHONGQING, 400021, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The levonorgestrel-releasing intrauterine system (LNG-IUS) is an established, long-acting contraceptive option. With the widespread use of the LNG-IUS, drug-reported adverse events (AEs) have also garnered significant attention. In this study, we conducted a real-world analysis using the FDA's Adverse Event Reporting System (FAERS) database to assess the incidence of AEs associated with LNG-IUS use. Data from FAERS spanning from 2004Q1 to 2024Q1 were reviewed, with a focus on reports in which LNG-IUS was the primary suspected and secondary suspect drug. Signal detection was carried out utilizing Standardized MedDRA Queries (SMQ) and Preferred Terms (PT), with reporting odds ratio (ROR), proportional reporting ratio (PRR), and information component (IC) employed to identify Signals of Disproportionate Reporting (SDR) for AEs. A positive SDR was defined when all three methods indicated significance. Analysis of 13 SMQs revealed notable SDRs in ear and eye disorders, cardiac arrhythmias, and lipodystrophy. Of the 61 suspected SDRs identified at the PT level, nearly half were not previously documented in labeling. Key potential signals of AEs associated with LNG-IUS use included increased heart rate, papilledema, idiopathic intracranial hypertension, cervical dysplasia, ruptured ovarian cyst, and uterine embedment and perforation. The findings underscore the importance of signal detection using FAERS data for identifying safety concerns related to LNG-IUS. Long-term observational studies are warranted to confirm and further elucidate these potential safety signals.

Indexed as

Adverse eventsFAERSLNG-IUSPharmacovigilancesignal detection

Identifiers

PMID39281579
PMCPMC11402230

What Socratic 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 Socratic graph.