Evidence map›Paper›PMID 42111462›Full record

ArticleExploratory research in clinical and social pharmacy2026

Real-time active surveillance for drug-induced Thrombocytopenia: A prospective interventional study.

Ba Hai Le, Viet Phu Nguyen, Thi Huong Giang Nguyen, Thi Cat Khanh Tran, Hieu Trong Le, Thi Ngoc Mai Vu, Duong Anh Minh Vu, Thi Hang Tran, Thi Thanh Phuong Doan, Thi Huong Phung and 3 more

Abstract read
In one paragraph

Article in Exploratory research in clinical and social 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

13 authors.

Ba Hai LeFaculty of Pharmacology - Clinical Pharmacy, Hanoi University of Pharmacy, Viet Nam.
Viet Phu NguyenPharmacy Department, Vinh Phuc General Hospital, Vinh Phuc, Viet Nam.
Thi Huong Giang NguyenPharmacy Department, Vinh Phuc General Hospital, Vinh Phuc, Viet Nam.
Thi Cat Khanh TranFaculty of Pharmacology - Clinical Pharmacy, Hanoi University of Pharmacy, Viet Nam.
Hieu Trong LeSchool of Pharmacy, Faculty of Medicine and Health, The University of Sydney, NSW, Australia.
Thi Ngoc Mai VuFaculty of Pharmacology - Clinical Pharmacy, Hanoi University of Pharmacy, Viet Nam.
Duong Anh Minh VuFaculty of Pharmacology - Clinical Pharmacy, Hanoi University of Pharmacy, Viet Nam.
Thi Hang TranPharmacy Department, Vinh Phuc General Hospital, Vinh Phuc, Viet Nam.
Thi Thanh Phuong DoanPharmacy Department, Vinh Phuc General Hospital, Vinh Phuc, Viet Nam.
Thi Huong PhungPharmacy Department, Vinh Phuc General Hospital, Vinh Phuc, Viet Nam.
Huu Duy NguyenFaculty of Pharmacology - Clinical Pharmacy, Hanoi University of Pharmacy, Viet Nam.
Thi Hong Hanh NguyenFaculty of Pharmacology - Clinical Pharmacy, Hanoi University of Pharmacy, Viet Nam.
Thanh Hai NguyenFaculty of Pharmacology - Clinical Pharmacy, Hanoi University of Pharmacy, Viet Nam.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Drug-induced thrombocytopenia (DITP) is a severe adverse drug event that is frequently missed due to overlapping causes, such as sepsis or other conditions. In Vietnam, the spontaneous reporting system for DITP events has shown limited benefits, highlighting the need for active surveillance methods such as real-time signal monitoring. Objective: To develop and implement a real-time signal monitoring tool for DITP in hospitalized patients with pharmacist-led interventions. Methods: We included inpatients aged ≥18 years admitted between March 1 and November 1, 2024. Suspected DITP cases were identified using an integrated set of signals from a real-time active surveillance tool. Pharmacists assessed drug-event causality using the World Health Organization causality scale and provided management recommendations. Positive predictive values (PPV) were calculated for the alert. Results: 1337 positive signals were generated, involving 258 patients. Patients were predominantly male (66.7%) with a mean age of 65.1 (16.7) years, and most were admitted to the intensive care unit or emergency department. The overall PPV was 3.3%. Antibiotics were the most frequently suspected drug class associated with DITP, with confirmation rates varying by agent. Linezolid, heparin and meropenem had the highest confirmed associations, at 28.6%, 26.6% and 12.5%, respectively. In 17 cases with pharmacist intervention, drug discontinuation was documented in all cases, platelet transfusion in 3 patients, and recovery in 94.1% (16/17) of patients. Conclusion: Implementation of a real-time signal-based active surveillance system was associated with improved identification and structured assessment of suspected DITP cases, supporting the feasibility of routine active monitoring in clinical practice.

Indexed as

Active surveillanceAdverse drug eventsDrug-induced thrombocytopeniaPharmacovigilanceReal-time signal tool

Identifiers

PMID42111462
PMCPMC13157158

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.