Evidence map›Paper›PMID 37543690›Full record

ArticleScientific reports2023

Decisional conflict and its determinants among patients with cancer undergoing immunotherapy combined with chemotherapy or targeted therapy: a cross-sectional study.

Yun-Hsiang Lee, Xiao-Yin Chou, Yeur-Hur Lai, Yi-Hsin Liang, Chia-Tai Hung, Chu-Chi Hsaio, Zi-Xuan Gao

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07164365 (Decisional Conflict in Patients With Advanced Cancer in a Shared Decision-Making Model), which is not on this map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
5.7field-weighted citation impact, top 4% of its field
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.

NCT07164365 naactive not recruitingnot on this mapstarted 2025, after this paper: background citation

Decisional Conflict in Patients With Advanced Cancer in a Shared Decision-Making Model: A Randomized Clinical Trial

TypeinterventionalSponsorHospital Universitario San IgnacioRan2025 to 2026Enrolled62ConditionsDecisional Conflict, Advanced/Metastatic Solid Tumors, Shared Decision-makingArmsInterdisciplinary Shared Decision-Making Consultation
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Decisional Conflict in Palliative Head and Neck Cancer Patients.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2026
    Article
  4. Article
  5. Culturally Adapted Shared Decision-Making Tool for Breast Cancer Clinical Trials in China: A Nurse-Led Approach.Journal of cancer education : the official journal of the American Association for Cancer Education · 2026
    Article
  6. Article
  7. Article
  8. 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

7 authors at 3 institutions in 1 country.

Yun-Hsiang LeeSchool of Nursing, College of Medicine, National Taiwan University, Taipei, Taiwan. yhlee338@ntu.edu.tw.
Xiao-Yin ChouDepartment of Nursing, Deh Yu College of Nursing and Health, Keelung City, Taiwan.
Yeur-Hur LaiSchool of Nursing, College of Medicine, National Taiwan University, Taipei, Taiwan.
Yi-Hsin LiangDepartment of Oncology, National Taiwan University Hospital, Taipei, Taiwan.
Chia-Tai HungDepartment of Nursing, Mackay Medical College, New Taipei City, Taiwan.
Chu-Chi HsaioDepartment of Nursing, National Taiwan University Hospital, Taipei, Taiwan.
Zi-Xuan GaoDepartment of Nursing, National Taiwan University Hospital, Taipei, Taiwan.
National Taiwan University Hospital · TWNational Taiwan University · TWMackay Medical College · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Decisional conflict might occur during shared decision-making (SDM) because immunotherapy is a rather novel treatment option for patients with cancer. To explore the prevalence and severity of physical and psychological symptoms and the effort invested in SDM in relation to decisional conflict among patients with cancer undergoing immunotherapy combined with chemotherapy or targeted therapy. This was a cross-sectional survey study. The SURE version of the Decisional Conflict Scale was used to screen cancer patients' decisional conflict status. Demographic or clinical characteristics, physical symptoms and psychological distress; efforts invested in the SDM process were also assessed as potential factors related to decisional conflict. One hundred seventeen patients surveyed, the prevalence of fatigue (79.5%), sleep disturbance (78.6%), poor appetite (67.5%), and pain (58.1%) symptoms were high and the severity was at moderate levels. The prevalence of pruritus (40.2%), rash (34.2%), dry skin (41.9%), and diarrhea (17.1%) symptoms were low and the severity was at mild levels. 65.8% of patients reported uncertainty, with mild to moderate levels. Furthermore, 97.4% of the patients made some effort in SDM, and the effort level was moderate (mean: 5.56 ± 2.02). 64.1% of patients were certain that immunotherapy was the best option. Age, uncertainty, and effort in the SDM process were major factors related to decisional conflict. We observed that older patients (age: ≥ 65) and those with higher uncertainty levels and less effort in SDM reported higher levels of decisional conflict. Future studies should explore older patients' decisional related needs of immunotherapy. Interventions should be designed to reduce the uncertainty experienced by patients with cancer and enhance their understanding of immunotherapy to enable them to take more effort in the SDM process.

Indexed as

Decision MakingNeoplasmsConflict, PsychologicalCross-Sectional StudiesHumansImmunotherapy

Identifiers

PMID37543690
PMCPMC10404258
OpenAlexW4385597146

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.