Evidence map›Paper›PMID 42043505›Full record

Observational studyNaunyn-Schmiedeberg's archives of pharmacology2026

Pharmacovigilance insights into drug-induced hypercalcemia: evidence from the U.S. FDA Adverse Event Reporting System (FAERS) database.

Wensheng Liu, Linlin Wang, Xue Song, Xuan Ye, Yunlan Ding, Jiyong Liu, Qiong Du

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study 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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Wensheng LiuDepartment of Pharmacy, Fudan University Shanghai Cancer Center, Shanghai, China.ORCID http://orcid.org/0000-0002-2177-326X
Linlin WangDepartment of Pharmacy, Fudan University Shanghai Cancer Center Xiamen Hospital, Xiamen, China.
Xue SongDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Xuan YeDepartment of Pharmacy, Fudan University Shanghai Cancer Center, Shanghai, China.
Yunlan DingDepartment of Pharmacy, Fudan University Shanghai Cancer Center, Shanghai, China.
Jiyong LiuDepartment of Pharmacy, Fudan University Shanghai Cancer Center, Shanghai, China. liujiyong@fudan.edu.cn.
Qiong DuDepartment of Pharmacy, Fudan University Shanghai Cancer Center, Shanghai, China. dujoan-88@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug-induced hypercalcemia (DIH) is an often-overlooked adverse event with serious consequences, yet evidence remains limited. This study aimed to identify drugs with disproportionate reporting signals for hypercalcemia and characterize their clinical features using the U.S. FDA Adverse Event Reporting System (FAERS) database, thereby providing pharmacovigilance evidence to support clinical risk awareness and monitoring prioritization. A worldwide observational case-non-case study was conducted using FAERS data from January 2004 to December 2024. Duplicate reports were excluded, and drug names were standardized via the DrugBank database. Four algorithms-reporting odds ratio [ROR], proportional reporting ratio [PRR], information component [IC], and empirical Bayes geometric mean [EBGM]) - were applied to screen for potential signals by detecting statistical disproportionality. Cumulative risk curves were employed to characterize the time-to-onset patterns of DIH. A total of 18,806 valid DIH reports were identified for 967 drug pairs, of which 107 drugs were identified as potential signals based on disproportionality analysis (meeting all four algorithm criteria). The top three drug classes associated with DIH were antineoplastic and immunomodulating agents (35.5%), systemic hormonal preparations (21.9%), and musculo-skeletal system drugs (10.6%). Teriparatide (2539 cases), denosumab (894 cases), and lenalidomide (800 cases) were the most frequently reported drugs associated with hypercalcemia. Additionally, statistically significant disproportionality signals were detected for several drugs not currently labeled for DIH risk, such as bortezomib, octreotide, and atezolizumab, warranting further evaluation. The median onset time of DIH was 52 days (IQR, 9-223 days): the anti-infective drug group had the earliest DIH onset time (median 12 days; IQR, 3-51 days), while the musculo-skeletal system drug group had a relatively longer median latency period (151 days; IQR, 17-510 days). This FAERS-based disproportionality analysis identified 107 drugs across 14 classes with reporting signals for hypercalcemia and delineated their time-to-onset patterns. Although these signals do not establish causality and are susceptible to reporting bias and confounding, they identify therapies for which targeted calcium monitoring may be warranted, and may help prioritize future regulatory review, including potential labeling revisions. Further confirmation in studies with laboratory-verified calcium values and robust confounding control is needed.

Indexed as

Adverse Drug Reaction Reporting SystemsHypercalcemiaPharmacovigilanceDatabases, FactualHumansUnited StatesUnited States Food and Drug AdministrationDisproportionality analysisFAERSHypercalcemiaPharmacovigilance

Identifiers

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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.