ArticleJCO oncology practice2024
Impact of Medication Reconciliation in Oncology Early Phase Studies: A Drug-Drug Interaction Retrospective Study.
Article in JCO oncology practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 6 citations in OpenAlex.
- Roles and perceived responsibilities of investigators and pharmacists in the monitoring of drug-drug interactions in clinical trials - a mixed methods study.Exploratory research in clinical and social pharmacy · 2026Article
- Impact of baseline medications on real-world overall survival in immune checkpoint inhibitor-treated patients with cancer in the RADIOHEAD cohort.Med (New York, N.Y.) · 2026Article
- Oncoral Follow-Up for Outpatients Treated with Oral Anticancer Drugs Assessed by Relative Dose Intensity.Pharmaceuticals (Basel, Switzerland) · 2025Article
- Are We Losing the Final Fight against Cancer?Cancers · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis study aims to investigate the impact of medication reconciliation (MR) conducted by pharmacists before patient enrollment and the initiation of investigational treatments. By implementing MR, the primary objective is to evaluate the extent to which the inclusion of patients with prohibited or not recommended concomitant medications in clinical trials can be significantly reduced. MATERIALS AND
methodsThe study included all patients who participated in clinical trials and underwent MR between September 1, 2015, and September 1, 2020. To identify prohibited or monitored drugs, protocols and investigator's brochures provided by the sponsor were meticulously reviewed and taken into consideration.
resultsMR was performed for 501 patients, uncovering 35% of the medications they were currently taking. Through the pharmaceutical analysis, a total of 346 drug-drug interactions (DDIs) were identified, of which 188 required monitoring and 158 were strictly prohibited. More than half of the prohibited medications were herbal drugs. A significant portion of these prohibited drugs were discontinued, with only 6% being replaced by suitable alternatives. The implementation of MR played a crucial role in the identification of 51% of the prohibited or monitored drugs that were initially overlooked by oncologists.
conclusionMR is a highly effective measure aimed at reducing the risk of DDIs with investigational drugs, thereby minimizing protocol deviations and enhancing patient care. Sponsors of clinical trials value its implementation and recognize the substantial benefits it brings to the entire trial process. Consequently, many sponsors willingly provide funding to investigational sites that adopt MR as part of their standard practice, acknowledging its critical role in ensuring patient safety and maintaining data integrity throughout the course of clinical research studies.
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Registered trials
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.