Evidence map›Paper›PMID 39679378›Full record

ArticleFrontiers in pharmacology2024

Interactions of warfarin with COVID-19 vaccine/drugs, monoclonal antibodies, and targeted anticancer agents from real-world data mining.

Yan Gao, Qingsong Huang, Jun Li, Junsheng He, Fang Qian, Juanjuan Yi

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2024. 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

6 authors.

Yan GaoDepartment of Pharmacy, Shanghai Jiading District Hospital of Traditional Chinese Medicine, Shanghai, China.
Qingsong HuangDepartment of Internal Medicine, Shanghai Jiading District Hospital of Traditional Chinese Medicine, Shanghai, China.
Jun LiDepartment of Infectious Diseases and Public Health, City University of Hong Kong, Hong Kong SAR, China.
Junsheng HeDepartment of Infectious Diseases and Public Health, City University of Hong Kong, Hong Kong SAR, China.
Fang QianDepartment of Pharmacy, Shanghai Jiading District Hospital of Traditional Chinese Medicine, Shanghai, China.
Juanjuan YiDepartment of Infectious Diseases and Public Health, City University of Hong Kong, Hong Kong SAR, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to examine the unresolved drug-drug interactions of warfarin using real-world data. Methods: Electronic medical records from a hospital in Shanghai, China, were used to summarize drug-related problems (DRPs) among inpatients taking warfarin in 2022. Additionally, adverse event data for warfarin from January 2004 to December 2023 were extracted from the U.S. adverse event reporting system to evaluate the bleeding risk associated with the concomitant use of warfarin and COVID-19 Vaccine/drugs, monoclonal antibodies, and targeted anticancer agents. Results: The electronic clinical records yielded 180 cases, of which 130 cases (72.22%) had 276 DRPs identified. DRP5 (n = 172, 62.32%) was identified as the most common issue, comprising 145 drug interactions and 27 adverse drug reactions (ADRs). The analyses of warfarin ADR records (n = 53,709) from the database revealed that tocilizumab (adjusted Odds Ratio (aOR): 3.39 [95% CI: 1.77-7.03]; Conclusion: Drug-drug interactions contribute to the adverse effects of warfarin. This study provides real-world evidence of newly identified drug interactions with warfarin. It reminds clinicians to monitor INR and adjust warfarin doses accordingly when used in combination with these medications.

Indexed as

adverse drug reaction (ADR)bleedingdrug-drug interaction (DDI)drug-related problem (DRP)risksafetyvitamin K antagonist (VKA)warfarin

Identifiers

PMID39679378
PMCPMC11637831

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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.