Evidence map›Paper›PMID 40321895›Full record

ReviewTechnical innovations & patient support in radiation oncology2025

Perceptions, educational expectations and knowledge gaps of patients with non-metastatic breast cancer regarding radiotherapy: Integrative review.

Siret Kivistik, Eija Metsälä, Heli Virtanen

Abstract readReview
In one paragraph

Review in Technical innovations & patient support in radiation oncology, 2025. 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
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.

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

3 authors.

Siret KivistikUniversity of Turku, Department of Nursing Science, Turku, Finland.
Eija MetsäläUniversity of Turku, Department of Nursing Science, Turku, Finland.
Heli VirtanenUniversity of Turku, Department of Nursing Science, Turku, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This integrative review investigates perceptions, educational expectations, and knowledge gaps of patients with breast cancer (BC) regarding radiotherapy (RT). Methods: The included studies were analysed using a thematic analysis approach. Each segment of data was coded with open coding. The codes were gathered into subthemes as they emerged and into overarching themes, after which the data was analysed again. Results: 22 studies were included: 11 qualitative, 10 cross-sectional, and 1 case study. Our findings indicate that breast cancer patients perceptions of radiation therapy (RT) are influenced by their understanding of RT, its side effects, the treatment burden, emotional state or feelings, effectiveness if RT, prognosis, and viewing RT as the end-of-care phase. They expect education on the treatment pathway, psychosocial support, personalised aspects of RT, planning, delivery, follow-up, and side effects. Additionally, women undergoing RT have knowledge gaps related to preparedness and support, unforeseen risks and side effects, as well as daily practical issues. Conclusion: Tailored, culturally sensitive education is essential to bridge gaps in understanding, manage anxiety, and build trust. It requires individualized communication strategies and psychosocial support. By integrating personalized information and leveraging technological solutions, healthcare providers can empower patients, improve adherence, and enhance outcomes, particularly in resource-limited settings.

Indexed as

Breast cancerEducational expectationsKnowledge gapsPerceptionsRadiotherapy

Identifiers

PMID40321895
PMCPMC12049838

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.