Evidence map›Paper›PMID 41807823›Full record

ArticleBJC reports2026

Patients' responses & reflections when receiving news of cancer progression: a qualitative study.

Julia Ten Hove, Danielle Kain, Jacqueline Galica, Jennifer O'Donnell, Michael D Brundage

Abstract read
In one paragraph

Article in BJC reports, 2026. 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

5 authors.

Julia Ten HoveCancer Care and Epidemiology, Queen's University, Cancer Research Institute, Kingston, ON, Canada. julia.tenhove@queensu.ca.ORCID http://orcid.org/0000-0002-5430-0418
Danielle KainDivision of Palliative Medicine, Department of Medicine, Queen's University, Kingston, ON, Canada.
Jacqueline GalicaCancer Care and Epidemiology, Queen's University, Cancer Research Institute, Kingston, ON, Canada.
Jennifer O'DonnellCancer Care and Epidemiology, Queen's University, Cancer Research Institute, Kingston, ON, Canada.
Michael D BrundageCancer Care and Epidemiology, Queen's University, Cancer Research Institute, Kingston, ON, Canada.

Funding

CIHR 165888
6 · The paper itself

Abstract

backgroundLimited literature exists characterizing the range of patient reactions during conversations about serious illnesses. This paper explores the variability of patients' responses when receiving bad news about their cancer progression to offer guidance for clinicians navigating these conversations through a patient-centered approach.

methodsEighty-four participants were interviewed and asked to put into their own words why finding out their cancer is growing is difficult news to hear. Responses were transcribed and qualitatively coded by multiple data analyzers using inductive content analysis to categorize responses and develop themes.

resultsWe grouped the data into two main themes: (1) a spectrum of negative and positive emotional responses and reflections upon hearing bad news, and (2) considerations about quality of life and the future. Participants expressed a range of strong emotions and reflections on their future, including concerns about life expectancy, quality of life, and available support, as well as positive reflections of acceptance and hope. CONCLUSIONS AND IMPLICATIONS: This study illustrates the diverse ways patients respond to news of disease progression, emphasizing the need for individualized, empathetic communication strategies to address these responses. The findings provide clinicians with insights to better navigate these conversations through a patient-centered approach.

Identifiers

PMID41807823
PMCPMC12976295

What Socratic 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 Socratic graph.