Evidence map›Paper›PMID 42752632›Full record

ArticlePloS one2026

A cross-sectional study on illness perception and resiliency among cancer patients, in Bhaktapur cancer hospital.

Pooja Panth, Abaru Panta, Kabita Raj Cadel, Prajwol Baniya

Abstract read
In one paragraph

Article in PloS one, 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
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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

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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

4 authors.

Pooja PanthDepartment of Psychology, Padmakanya Campus, Kathmandu, Nepal.ORCID https://orcid.org/0000-0003-1426-5336
Abaru PantaDepartment of Psychology, Padmakanya Campus, Kathmandu, Nepal.
Kabita Raj CadelDepartment of Psychology, Padmakanya Campus, Kathmandu, Nepal.
Prajwol BaniyaDepartment of Health Care Administration, St. Lawrence College, Kingston, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer, characterized by uncontrollable abnormal cell growth, is one of the leading causes of death worldwide. According to the WHO, cancer accounted for nearly 1 in 6 deaths in 2020. Most research has focused on the physical well-being and quality of life of cancer patients. However, with increasing emphasis on psychological aspects, particularly illness perception and resilience, a cross-sectional hospital-based study was conducted to assess the impact of illness perception on the resiliency of cancer patients. This correlational quantitative study used convenient non-probability sampling at Bhaktapur Cancer Hospital, a national-level cancer center, enrolling a total of 170 participants. The Brief Illness Perception Questionnaire (IPQ-B) and the Connor-Davidson Resilience Scale (CD-RISC 10) were used to assess illness perception and resiliency, respectively. More than half of the respondents (57.6%) reported experiencing a high level of perceived threat from their illness. While 75.9% of participants showed low level of resilience. A significant modest negative correlation was found between illness perception (BIPQ) and resilience (CDRISC) (-0.177,p < 0.05). No significant differences in resilience or illness perception were found based on gender or socioeconomic status. However, a significant difference in resilience was observed based on educational background (p = 0.033), while illness perception did not vary significantly with education. These findings suggest that addressing illness perception through targeted psychoeducation and supportive therapeutic approaches may enhance resilience among cancer patients and improve their quality of life.

Indexed as

NeoplasmsResilience, PsychologicalAdultAgedCancer Care FacilitiesCross-Sectional StudiesFemaleHumansMaleMiddle AgedPerceptionQuality of LifeSurveys and QuestionnairesYoung Adult

Identifiers

PMID42752632
PMCPMC13585215

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.