Evidence map›Paper›PMID 41098936›Full record

ArticleHospital pharmacy2026

Based on the FDA Adverse Event Reporting System Database, a Study on Signal Mining of Adverse Events for Guanylate Cyclase-C Receptor Agonists.

Da Lei, Chiwei Guo, Shujuan Zhao

Abstract read
In one paragraph

Article in Hospital pharmacy, 2026. 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

3 authors.

Da LeiXiantao First People's Hospital, Hubei, China.
Chiwei GuoThe First People's Hospital of Nankang District, Ganzhou, Jiangxi, China.ORCID https://orcid.org/0009-0001-3228-623X
Shujuan ZhaoPeople's Hospital of Zhengzhou University, Henan, China.ORCID https://orcid.org/0000-0003-2835-3601

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To analyze and evaluate adverse drug event (ADE) signals for two GC-C receptor agonists, Linaclotide and Plecanatide, thereby enhancing understanding of their clinical safety. Methods: Data on adverse reactions associated with Linaclotide and Plecanatide were extracted from the FDA Adverse Event Reporting System (FAERS) for the period from Q1 2013 to Q4 2023. Signal detection was performed using the Reporting Odds Ratio (ROR) and the Proportional Reporting Ratio (PRR). Results: A total of 12 275 ADE reports for Linaclotide and 811 for Plecanatide were retrieved, resulting in 28 123 and 2230 ADE signals, respectively, across 24 and 19 System Organ Classes (SOCs). Both drugs predominantly exhibited gastrointestinal ADEs, including abdominal pain, bloating, and diarrhea. Linaclotide was associated with signals for urinary retention, incontinence, and bladder pain, which are not documented in its prescribing information. Plecanatide demonstrated signals for muscle spasms and sleep disorders, also absent from its instructions. Additionally, both drugs revealed signals related to water and electrolyte disorders. Conclusion: Clinical utilization of GC-C receptor agonists should take into account not only the prevalent gastrointestinal ADEs but also emerging signals associated with the urinary system, metabolic and nutritional disorders, and the nervous system. A comprehensive understanding of these signals is essential for evaluating medication risks and ensuring appropriate drug administration.

Indexed as

adverse eventsFAERS databaseGC-C receptor agonistslinaclotideplecanatide

Identifiers

PMID41098936
PMCPMC12518259

What OpenQuestion holds

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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.