AI Article Synopsis

  • Lung cancer is a major health issue in Canada, leading to 25% of cancer deaths and consistently reported poor experiences by patients compared to those with gastrointestinal cancers.
  • A qualitative study involving interviews with patients undergoing radiotherapy revealed that lung cancer patients faced delays and heightened anxiety during diagnosis, along with worsening symptoms and treatment side effects during therapy.
  • Key issues identified included poor communication and lack of coordination in care, with suggestions for improvement focused on speeding up the diagnosis process and enhancing communication with patients.

Article Abstract

Purpose: Lung cancer remains one of the most diagnosed cancers in Canada and continues to be the leading cause of cancer deaths in Canada, responsible for 25% of all cancer deaths. Prior studies consistently report poor experiences of people with lung cancers. The study purpose was to explore the reasons for consistently poorer reported experience of people with lung cancer compared to people with gastrointestinal cancers, who previously have reported positive cancer care experiences within the same context, and to better understand key differences that influence patient experience.

Methods: This qualitative study used semi-structured interviews of people living with lung cancer (LC) and gastrointestinal cancers (GIC) undergoing radiotherapy at a tertiary cancer centre. Thematic content analysis was conducted to analyse interview transcripts. A person-centred care framework was used to guide the development of the interview guide and data analysis.

Results: We interviewed 16 participants (10 LC and 6 GIC). Participants with LC reported poor experience leading to and at the time of their cancer diagnosis, including delays in their diagnosis and anxiety related to their diagnosis. Most participants in both groups reported severe symptoms prior to their radiotherapy. However, the symptoms of people living with LC further worsened during the radiation therapy with the addition of treatment side effects, while the symptoms of people living with GIC were better controlled during treatment. Participants living with LC noted poor communication, gaps in coordination and uncertainty. They acknowledged awareness of support services and other resources, but they reported no interest in accessing them.

Conclusion: This study identified gaps in patient experience of people living with LC compared to GIC and proposed ideas for quality improvement projects, including expediting the diagnosis process, enhancing communication with patients around their lung cancer diagnosis, improved symptom management, and timing of supportive care services.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s00520-024-09103-zDOI Listing

Publication Analysis

Top Keywords

lung cancer
16
people living
16
gastrointestinal cancers
12
cancer
9
radiation therapy
8
qualitative study
8
study purpose
8
cancer deaths
8
people lung
8
experience people
8

Similar Publications

The redox imbalance, caused by depletion or generation of reactive oxygen species (ROS), is a key mechanism by which metal complexes exert anticancer effects. Carbidopa has shown the ability to inhibit the MDA-MB-231 cell line, a highly aggressive triple-negative human breast adenocarcinoma, by inducing reductive stress. The metal complex of carbidopa with zinc (ZnCarbi) was designed to modify carbidopa's structure and exhibited increased cytotoxicity against MDA-MB-231 cells.

View Article and Find Full Text PDF

Improving search strategies in bibliometric studies on machine learning in renal medicine.

Int Urol Nephrol

December 2024

Department of Thoracic Surgery, West China Hospital, Sichuan University, No. 37, Guoxue Lane, Wuhou District, Chengdu, 610041, Sichuan Province, China.

This paper evaluated the bibliometric study by Li et al. (Int Urol Nephrol, 2024) on machine learning in renal medicine. Although the study claims to summarize the forefront trends and hotspots in this field, several key issues require further clarification to effectively guide future research.

View Article and Find Full Text PDF

RASGEF1C as a novel prognostic biomarker for LUAD.

Discov Oncol

December 2024

Department of Thoracic Surgery, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, No. 1500 Zhouyuan Road, Pudong New Area, Shanghai, China.

Lung adenocarcinoma (LUAD) is a common histologic lung cancer with high morbidity and mortality, and most patients have distant metastases at diagnosis. RasGEF Domain Family Member 1C (RASGEF1C) could regulated Alzheimer's disease. However, its function in various cancers, including LUAD, is poorly understood.

View Article and Find Full Text PDF

Purpose: Lung cancer remains one of the most diagnosed cancers in Canada and continues to be the leading cause of cancer deaths in Canada, responsible for 25% of all cancer deaths. Prior studies consistently report poor experiences of people with lung cancers. The study purpose was to explore the reasons for consistently poorer reported experience of people with lung cancer compared to people with gastrointestinal cancers, who previously have reported positive cancer care experiences within the same context, and to better understand key differences that influence patient experience.

View Article and Find Full Text PDF

An AI dose-influence matrix engine for robust pencil beam scanning protons therapy.

Med Phys

December 2024

National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.

Background: Rapid planning is of tremendous value in proton pencil beam scanning (PBS) therapy in overcoming range uncertainty. However, the dose calculation of the dose influence matrix (D) in robust PBS plan optimization is time-consuming and requires substantial acceleration to enhance efficiency.

Purpose: To accelerate the D calculations in PBS therapy, we developed an AI-D engine integrated into our in-house treatment planning system (TPS).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!