Evidence map›Paper›PMID 39249610›Full record

ArticleDiscover oncology2024

Adverse drug reactions and drug-related problems with supportive care medications among the oncological population.

Batoul Barari Tajani, E Maheswari, Vinayak V Maka, Anjana S Nair

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Article in Discover oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Batoul Barari TajaniDepartment of Pharmacy Practice, Faculty of Pharmacy, M S Ramaiah University of Applied Sciences, Bengaluru, Karnataka, India. shiva1452@gmail.com.ORCID http://orcid.org/0009-0006-7340-5086
E MaheswariDepartment of Pharmacy Practice, Faculty of Pharmacy, M S Ramaiah University of Applied Sciences, Bengaluru, Karnataka, India.
Vinayak V MakaDepartment of Medical Oncology, M S Ramaiah Medical College Hospital, Bengaluru, Karnataka, India.
Anjana S NairDepartment of Community Medicine, M S Ramaiah Medical College, Bengaluru, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe current study emphasizes the impact of adverse drug reactions (ADRs) and Drug-Related Problems (DRPs) caused by supportive care medications administered with chemotherapy.

methodThis is a longitudinal observational study carried out at the Ramaiah Medical College Hospital in Bengaluru, Karnataka, India, at the Department of Oncology. The data was recorded using a specifically created data collecting form. Based on the PCNE (Pharmaceutical Care Network Europe), DRPs are identified. The WHO probability scale, Modified Hartwig and Siegel for ADR severity assessment, Naranjo's algorithm for causality assessment, Rawlins and Thompson for predictability assessment, and Modified Shumock and Thornton for preventability assessment were all utilized. The OncPal guideline was considered in terms of the precision of supportive care medications regarding the reduction of ADRs in cancer patients.

resultWe enrolled 302 patients,166 (55%) female and 136 (45%) male (SD 14.378) (mean 49.97), patients with one comorbidity 59(19.6%) and multimorbidity (two or more) 45(14.9%), the DRPs identified were found to be 153 (50.6%); only P2 (safeties of drug therapy PCNE) were considered in this study. ADRs which are identified 175(57.9%) contributed/caused by the supportive care medications. WHO probability scale: 97 (32.1%) possible and 60 (19.9%) unlikely; Naranjo's algorithm: 97 (32.1%) unlikely and 69 (22.8%) possible; ADR severity assessment scale (Modified Hartwig and Siegel): 95 (31.5%) mild and 63 (20.9%) moderates; Rawlins and Thompson for determining predictability of an ADR: 33 (10.9%) predictable and 137 (45.5%) non-predictable; and Modified Shumock and Thornton for determining preventability of an ADR: 81 (26.8%) probably preventable and 90 (29.8%) non-preventable. The statistical comparison through preforming t-test and measuring Chi-Square between group with ADRs and without ADRs shows in some variables, significantly (Alcohol consumption status, P = .019) and Easter Cooperative Oncology Group (ECOG) performance status P < 0.001.

conclusionComprehensive assessment of supportive medications in cancer patients would enhance the patient management and therapeutic outcome. The potential adverse drug reactions (ADRs) caused by supportive care medications can contribute to longer hospital stays and interact with the systemic anti-cancer treatment. The health care professionals should be informed to monitor the patients clinically administered with supportive medications.

Indexed as

Adverse drug reactionDrug-related problemOncPal guidelinePCNE classificationSupportive care medication

Identifiers

PMID39249610
PMCPMC11383904

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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.