Evidence map›Paper›PMID 41658021›Full record

ArticleFrontiers in health services2025

Active monitoring vs. spontaneous reporting of antineoplastic drug-related adverse drug reactions: evidence from the Chinese hospital pharmacovigilance system.

Hao Jing, Du Jie, Wang Zhong, Ma Xiao, Zhang Qingxuan, Li Sha, Zhang Shuai, Xiao Yunyan, Lv Mingxiao, Liu Yahui

Abstract read
In one paragraph

Article in Frontiers in health services, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

10 authors.

Hao JingDepartment of Pharmacy, Xingtai People's Hospital, Xingtai, Hebei, China.
Du JieDepartment of Pharmacy, Xingtai People's Hospital, Xingtai, Hebei, China.
Wang ZhongDepartment of Pharmacy, Xingtai People's Hospital, Xingtai, Hebei, China.
Ma XiaoDepartment of Pharmacy, Xingtai People's Hospital, Xingtai, Hebei, China.
Zhang QingxuanDepartment of Pharmacy, Xingtai People's Hospital, Xingtai, Hebei, China.
Li ShaDepartment of Pharmacy, Xingtai People's Hospital, Xingtai, Hebei, China.
Zhang ShuaiDepartment of Pharmacy, Xingtai People's Hospital, Xingtai, Hebei, China.
Xiao YunyanDepartment of Pharmacy, Xingtai People's Hospital, Xingtai, Hebei, China.
Lv MingxiaoDepartment of Pharmacy, Xingtai People's Hospital, Xingtai, Hebei, China.
Liu YahuiDepartment of Pharmacy, Xingtai People's Hospital, Xingtai, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Adverse drug reactions (ADRs) remain a major barrier to safe and effective cancer therapy. Existing pharmacovigilance systems predominantly rely on spontaneous reporting, which suffers from underreporting and delays. The Chinese Hospital Pharmacovigilance System (CHPS) provides an opportunity for active monitoring using multidimensional hospital data. Methods: We conducted a retrospective cohort study, including 500 patients who received chemotherapy, targeted therapy, or immunotherapy. ADRs were identified through CHPS, classified by the Common Terminology Criteria for Adverse Events (CTCAE), and assessed using both active monitoring and spontaneous reporting. Signal detection employed disproportionality analyses (PRR, ROR, IC). Risk factors were analyzed with logistic regression, and predictive models for severe ADRs were evaluated with ROC curve analysis. Results: The overall ADR incidence was 37.0% (185/500), with 28.1% classified as severe. Hematologic (29.7%), gastrointestinal (26.0%), and skin/mucosal (19.5%) events were most common. Severe ADRs led to hospitalization (34.6%), treatment discontinuation (23.1%), and death (9.6%). Independent risk factors included age ≥65 years, polypharmacy, hepatic/renal dysfunction, and prolonged drug exposure (≥14 days). Signal detection confirmed known associations and identified potential novel signals, including skin hyperpigmentation with PD-1/PD-L1 inhibitors and cardiotoxicity with tyrosine kinase inhibitors. Active monitoring detected more ADRs than spontaneous reporting (160 vs. 50, Conclusion: CHPS-based active monitoring improves the detection, timeliness, and predictive assessment of ADRs compared with spontaneous reporting. These findings support the integration of active monitoring into hospital pharmacovigilance systems and highlight novel safety signals requiring further validation.

Indexed as

active monitoringadverse drug reactionsantineoplastic agentsChinese hospital pharmacovigilance system (CHPS)pharmacovigilancesignal detectionspontaneous reporting

Identifiers

PMID41658021
PMCPMC12872567

What OpenQuestion holds

Textmetadata
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.