Evidence map›Paper›PMID 41348203›Full record

ArticleNaunyn-Schmiedeberg's archives of pharmacology2026

Postmarketing pharmacovigilance study of levothyroxine based on FDA adverse event reporting system (FAERS) and Mendelian randomization.

Bingyu Ma, Zhengjun Ma, Pengfei Liang, Runqing Gong, Hang Wu

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Article in Naunyn-Schmiedeberg's archives of pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Bingyu MaDepartment of Pharmacy, Heze University, Heze, Shandong Province, 274000, China.
Zhengjun MaDepartment of Pharmacy, Heze University, Heze, Shandong Province, 274000, China.
Pengfei LiangDepartment of Pharmacy, Heze University, Heze, Shandong Province, 274000, China.
Runqing GongDepartment of Pharmacy, Heze University, Heze, Shandong Province, 274000, China.
Hang WuDepartment of Pharmacy, Heze University, Heze, Shandong Province, 274000, China. wuhang19870505@163.com.

Funding

Natural Science Foundation of Shandong Province ZR2022QC167
6 · The paper itself

Abstract

This study utilizes adverse event records for levothyroxine from the FAERS database to explore and evaluate its post-marketing adverse events. Using levothyroxine adverse event records from the FAERS database, four methods-report ratio odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN), and multivariable gamma-Poisson shrinkage model (MGPS)-were applied to assess pharmacovigilance signals for levothyroxine adverse reactions. Causality between levothyroxine and adverse events was assessed via two-sample Mendelian randomization (MR) analysis. This study identified multiple adverse events not listed in levothyroxine prescribing information, including dizziness, depression, myalgia, migraine, celiac disease, lactose intolerance, autoimmune thyroiditis, and nail disorders. Mendelian randomization analysis indicated a causal relationship between levothyroxine and myalgia, migraine, celiac disease, lactose intolerance, and autoimmune thyroiditis. These findings provide valuable reference information for reducing clinical risks associated with levothyroxine use. Clinicians should be vigilant for these adverse reactions when prescribing levothyroxine.

Indexed as

Adverse Drug Reaction Reporting SystemsDrug-Related Side Effects and Adverse ReactionsPharmacovigilanceThyroxineDatabases, FactualHumansMendelian Randomization AnalysisProduct Surveillance, PostmarketingUnited StatesUnited States Food and Drug AdministrationThyroxineAdverse eventsFDA adverse events reporting systemLevothyroxineMendelian randomizationPharmacovigilance

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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.