Evidence map›Paper›PMID 39386970›Full record

ArticleThe Canadian journal of hospital pharmacy2024

Adverse Drug Reactions and Predictors of Medication Adherence in Patients with Prostate Cancer.

Chinonyerem O Iheanacho, Valentine U Odili

Abstract read
In one paragraph

Article in The Canadian journal of hospital pharmacy, 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. Development and validation of a nomogram for predicting the probability of medication adherence to adjuvant endocrine therapy in breast cancer patients: a predictive modeling study.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    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

2 authors.

Chinonyerem O Iheanacho, MPH, MPharm, PhD, is with the Department of Clinical Pharmacy and Public Health, Faculty of Pharmacy, University of Calabar, Calabar, Cross River State, Nigeria.
Valentine U Odili, PharmD, MPharm, PhD, is with the Department of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmacy, University of Benin, Benin City, Edo State, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Adherence to therapy with prostate cancer medicines is critical for delaying the progression of disease and enhancing health outcomes. Objectives: To determine patients' medication adherence, the predictors of adherence, and the frequency and types of adverse drug reactions (ADRs) in persons with prostate cancer. Methods: A serial entry-point cross-sectional study of patients with prostate cancer was conducted in 3 cancer hospitals in Nigeria over a 12-month period (January 7, 2022, to January 3, 2023). Data on medication adherence were self-reported by patients, and data on ADRs were obtained from hospital records. Descriptive and inferential statistical analyses were performed, and Results: Of the 133 study participants, most 112 (84.2%) reported high medication adherence. The cost of drugs was the most frequently reported potential barrier to adherence ( Conclusions: In this study, medication adherence was high, with cost being a potential barrier to adherence. Family history of cancer and HRQOL significantly predicted medication adherence. The medications were well tolerated, and observed ADRs had minor severity. Policies targeting the reduction of cost-related factors for prostate cancer medications are essential.

Indexed as

adverse drug reactionillness perceptionmedication adherenceNigeriaprostate cancerquality of life

Identifiers

PMID39386970
PMCPMC11426963

What OpenQuestion holds

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Registered trials

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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.