Evidence map›Paper›PMID 35332064›Full record

Observational studyEuropean journal of hospital pharmacy : science and practice2023

Analysis of adverse drug events as a way to improve cancer patient care.

Noelia Vicente-Oliveros, Teresa Gramage-Caro, Elena Corral de la Fuente, Eva Delgado-Silveira, Ana María Álvarez-Díaz

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in European journal of hospital pharmacy : science and practice, 2023. 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, top 98% of its field
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, 0 citations in OpenAlex.

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

5 authors at 2 institutions in 2 countries.

Noelia Vicente-OliverosPharmacy, Ramon y Cajal University Hospital. IRYCIS, Madrid, Spain noelia.vicente@salud.madrid.org.ORCID 0000-0003-1123-0699
Teresa Gramage-CaroPharmacy, Ramon y Cajal University Hospital. IRYCIS, Madrid, Spain.
Elena Corral de la FuenteEarly Phase Clinical Drug Development in Oncology, South Texas Accelerated Research Therapeutics (START). Centro Integral Oncológico Clara Campal (CIOCC), Madrid, Spain.
Eva Delgado-SilveiraPharmacy, Ramon y Cajal University Hospital. IRYCIS, Madrid, Spain.ORCID 0000-0002-9281-839X
Ana María Álvarez-DíazPharmacy, Ramon y Cajal University Hospital. IRYCIS, Madrid, Spain.
Instituto Cajal · ESSouth Texas Accelerated Research Therapeutics · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo define the signals that a new artificial intelligence (AI) system must emit to improve adverse drug events (ADEs) management in oral antineoplastic agents (OAA).

methodsA multidisciplinary group of experts in patient safety was set up to define what signals the new AI system must emit to improve ADEs management in OAAs. The baseline data for the new AI system were generated through an observational and ambispective study carried out in a university hospital. All patients who met the inclusion criteria were selected consecutively every working day for 6 months. The ADEs were collected by interview and by the review of health records. The ADEs were categorised according to how they could be detected: patient, analysis, examination.

resultsThe group defined what signals the AI system must emit to improve ADEs management in OAAs: a signal to educate the patient when the possible ADEs were categorised as patient, a signal as a reminder to request a blood test or a microbiological culture when the possible ADEs were categorised as analysis, and a signal as a reminder for the necessity of a clinical examination when the possible ADEs were categorised as examination. A total of 1652 ADEs were reported in the interviews (ADE-interview) with the pharmacist, and doctors noted 1989 ADEs in the health record (ADE-HR). The most frequent ADEs were identified in the patient category.

conclusionThis study opens a new way for better management of ADEs and is the first step in the development of a future technology, which will improve the quality of life of patients.

Indexed as

Drug-Related Side Effects and Adverse ReactionsNeoplasmsArtificial IntelligenceHumansPatient CareQuality of LifeAntineoplastic agentsBIOTECHNOLOGYDRUG-RELATED SIDE EFFECTS AND ADVERSE REACTIONSQuality of Health CareSafety

Identifiers

PMID35332064
PMCPMC10800239
OpenAlexW4220695627

What OpenQuestion holds

Textmetadata
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.