Evidence map›Paper›PMID 40702074›Full record

ArticleScientific reports2025

Analysis and mining of L-ornithine L-aspartate adverse events based on FAERS database.

Hui Zhang, Chaoqun Song, Dexi Zhao, Minghao Lin, Yujuan Fu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Hui ZhangChangchun University of Chinese Medicine, Changchun, China.
Chaoqun SongChangchun University of Chinese Medicine, Changchun, China.
Dexi ZhaoChangchun University of Chinese Medicine, Changchun, China.
Minghao LinChangchun University of Chinese Medicine, Changchun, China.
Yujuan FuChangchun University of Chinese Medicine, Changchun, China. fuyujuan1111@163.com.

Funding

Jilin Provincial Science and Technology Department Project YDZJ202401092ZYTS
6 · The paper itself

Abstract

L-ornithine L-aspartate (LOLA) is indicated for reducing blood ammonia levels and alleviating symptoms of hepatobiliary disorders. Data mining of adverse events associated with LOLA was carried out in the FDA Adverse Event Reporting System database. The aim was to explore its potential medication risks and offer more reasonable and safe references for clinical medication. This study retrieved and extracted adverse event reports related to LOLA from the FAERS database from 2004Q1 to 2024Q3. The main method utilized was the reporting odds ratio for the detection of risk signals related to LOLA. In total, 413 adverse event reports where LOLA was the primary suspect drug were recognized, and a sum of 670 adverse events were reported. These reports mainly came from patients aged 40-65 and older. Most of these reports were submitted by healthcare professionals. After screening LOLA, 323 positive risk signals for AEs were found, which were distributed across 25 system organ classes. Among these, hepatobiliary disorders topped the list. Specifically, 84 positive risk signals were identified for liver-related AEs, which is in line with the adverse reactions about LOLA published by the FDA. The risk of hepatobiliary disorders was not described in the manual, but this study found that the positive signal risk for the hepatobiliary system is the highest. This research underscores the substantial influence of LOLA on hepatobiliary disorders, stressing the necessity for vigilant monitoring of potential liver toxicity. Besides concentrating on the short-term adverse reactions after LOLA administration, it is also crucial to conduct in-depth research on its long-term safety. This study provides suggestions and directions for the rational and safe clinical application of LOLA. Prospective studies in the future are required to further investigate the occurrence of relevant adverse events.

Indexed as

Adverse Drug Reaction Reporting SystemsData MiningDipeptidesDrug-Related Side Effects and Adverse ReactionsAdultAgedDatabases, FactualFemaleHumansMaleMiddle AgedUnited StatesUnited States Food and Drug AdministrationDipeptidesFAERSHepatobiliary disordersLOLA

Identifiers

PMID40702074
PMCPMC12287519

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LicenceCC BY-NC-ND
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Registered trials

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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.