Evidence map›Paper›PMID 38049920›Full record

ArticleBMC pharmacology & toxicology2023

Antibiotics and antibiotic-associated diarrhea: a real-world disproportionality study of the FDA adverse event reporting system from 2004 to 2022.

Haining Huang, Lanfang Li, Mingli Wu, Zhen Liu, Yanyan Zhao, Jing Peng, Xiaolei Ren, Shuai Chen

Open access · goldAbstract read
In one paragraph

Article in BMC pharmacology & toxicology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.5field-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

13 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
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  11. Olmesartan-associated Gastritis Observed Over Time.Internal medicine (Tokyo, Japan) · 2025
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  12. Foods (Basel, Switzerland) · 2025
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  13. Review
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 1 institution in 1 country.

Haining HuangDepartment of Clinical Pharmacy, Affiliated Hospital of Jining Medical University, Jining, Shandong, China.
Lanfang LiDepartment of Clinical Pharmacy, Affiliated Hospital of Jining Medical University, Jining, Shandong, China.
Mingli WuDepartment of Clinical Pharmacy, Affiliated Hospital of Jining Medical University, Jining, Shandong, China.
Zhen LiuDepartment of Clinical Pharmacy, Affiliated Hospital of Jining Medical University, Jining, Shandong, China.
Yanyan ZhaoDepartment of Clinical Pharmacy, Affiliated Hospital of Jining Medical University, Jining, Shandong, China.
Jing PengDepartment of Clinical Pharmacy, Affiliated Hospital of Jining Medical University, Jining, Shandong, China. pengjinghe2008@163.com.
Xiaolei RenData Center, Affiliated Hospital of Jining Medical University, Jining, Shandong, China. xiaolei.ren@qq.com.
Shuai ChenDepartment of Pathology, Affiliated Hospital of Jining Medical University, Jining, Shandong, China. chenshuai@mail.jnmc.edu.cn.
Affiliated Hospital of Jining Medical University · CN

Funding

Key research and development program of Jining No. 2022YXNS067Teachers' research of Jining Medical University No. JYFC2018FKJ015Teachers' research of Jining Medical University No. JYFC2019FKJ161
6 · The paper itself

Abstract

backgroundOur study aimed to assess the risk signals of antibiotic-associated diarrhea (AAD) caused by various antibiotics using real-world data and provide references for safe clinical applications.

methodsWe analyzed data extracted from the FDA Adverse Event Reporting System (FAERS) database, covering the period from the first quarter of 2004 to the third quarter of 2022. We computed the reporting odds ratio (ROR) for each antibiotic or antibiotic class to compare the signal difference. Furthermore, we also examined the differences in the onset times and outcomes of AAD caused by various antibiotics.

resultsA total of 5,397 reports met the inclusion requirements. Almost all antibiotics, except tobramycin and minocycline (ROR 0.98; 95%CI: 0.64-1.51 and 0.42; 95%CI: 0.16-1.11, respectively), showed a significant correlation with AAD. The analysis of the correlation between different classes of antibiotics and AAD revealed that lincomycins (ROR 29.19; 95%CI: 27.06-31.50), third-generation cephalosporins (ROR 15.96; 95%CI: 14.58-17.47), and first/second generation cephalosporins (ROR 15.29; 95%CI: 13.74-17.01) ranked the top three. The ROR values for antibiotics from the same class of antibiotics also varied greatly, with the ROR values for third-generation cephalosporins ranging from 9.97 to 58.59. There were also differences in ROR values between β-lactamase inhibitors and their corresponding β-lactamase drugs, such as amoxicillin-clavulanate (ROR = 13.31; 95%CI: 12.09-14.65) and amoxicillin (ROR = 6.50; 95%CI: 5.69-7.44). 91.35% of antibiotics have an onset time of less than four weeks.

conclusionsThere is a significant correlation between almost all antibiotics and AAD, particularly lincomycins and β-lactam antibiotics, as well as a different correlation within the same class. These findings offer valuable evidence for selecting antibiotics appropriately.

Indexed as

Adverse Drug Reaction Reporting SystemsAnti-Bacterial AgentsAmoxicillinCephalosporinsDiarrheaHumansPharmacovigilanceUnited StatesUnited States Food and Drug AdministrationAmoxicillinAnti-Bacterial AgentsCephalosporinsAntibiotic-associated diarrheaAntibioticsData miningPharmacovigilanceThe US food and drug administration adverse event reporting system

Identifiers

PMID38049920
PMCPMC10694877
OpenAlexW4389307488

What OpenQuestion holds

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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 OpenQuestion graph.