News | February 06, 2015

Patients with Emergency-diagnosed Lung Cancer Report Barriers to Seeing Their GP in the U.K.

Study finds information to suggest ways to ensure that fewer patients have emergency diagnosis of lung cancer

Lung cancer

Image courtesy of Vital Images

February 6, 2015 — Many patients whose lung cancer is diagnosed as an emergency in hospital reported difficulties in previously seeing their general practitioner (GP), according to research presented at the National Cancer Research Institute (NCRI) Cancer Conference in Liverpool.

The study, carried out by researchers from the London Cancer Alliance (LCA) and King's College London, investigated around 130 patients who were diagnosed with lung cancer after attending as an emergency at one of seven hospitals in south and west London.

Overall, nearly half of the patients reported that something had put them off to going to the doctor, including difficulty making an appointment, not being able to see their usual doctor, not having confidence in the GP and fear of what the doctor might find. About a fifth of all patients (18 percent) said they had not realized that their symptoms were serious.

A fifth of all patients – who tended to be older, poorer and more fearful of what the doctor might find – delayed going to their doctor with their symptoms for more than 12 weeks.

Three-quarters of the patients had consulted their GP about their symptoms, and one fifth had seen a GP at least three times. Almost a quarter (23 percent) of the patients had already been referred for hospital visits by a GP but many were admitted to hospital before the appointment because they were so unwell.

Lead study author Thomas Newsom-Davis, M.D., LCA Acute Oncology Services pathway chair and consultant medical oncologist at Chelsea and Westminster Hospital, said: "These findings show that we need to work together to improve patient education, ensure that those with possible lung cancer can easily make an appointment to see their GP, and that patients are quickly seen in specialist lung cancer clinics. It's important to pilot ways of ensuring that patients with possible symptoms of cancer can be seen in hospital before they get so ill that they are admitted as an emergency, for example, rapid-access diagnostic clinics."

Lung cancer is the second most commonly diagnosed cancer in the UK. Around 43,500 people are diagnosed each year in the UK with around 35,400 UK deaths from lung cancer annually. Almost 40 percent of patients with lung cancer in England are diagnosed as an emergency in hospital, and have poorer chances of survival.

Robert Rintoul, M.D., chair of NCRI's Lung (Screening and Early Diagnosis) Clinical Studies Subgroup, said: "If lung cancer is diagnosed at an early stage, patients have a much higher chance of surviving the disease. Therefore it's vital that patients recognise possible symptoms early on and are able to get them checked out quickly. This study provides valuable information to suggest ways to help ensure that far fewer patients have an emergency diagnosis of lung cancer, when their disease is likely to be more advanced and treatment is less likely to be successful."

For more information: www.conference.ncri.org.uk/abstracts/2014/abstracts/B123.html


 

 

Related Content

Coreline Soft Introduces AI Lung Segmentation Solution at RSNA 2018
News | Lung Cancer | December 10, 2018
December 10, 2018 — Korean image software company Coreline Soft Co. Ltd.
YITU Releases AI-Based Cancer Screening Solutions at RSNA 2018
News | Artificial Intelligence | December 06, 2018
Chinese artificial intelligence (AI) healthcare company YITU healthcare released two brand-new products, Intelligent...
Fujifilm Collaborates With Lunit on AI Pilot Project
News | Artificial Intelligence | December 05, 2018
Fujifilm Medical Systems USA Inc. announced a joint collaboration with Korean-based medical artificial intelligence (AI...
Infervision Introduces AI Capabilities for Chest CT Reading
Technology | Computer-Aided Detection Software | November 30, 2018
Big data and artificial intelligence (AI) company Infervision announced the launch of InferRead CT Chest, a new product...
Arterys Demonstrates AI Cloud-Based Medical Image Analysis Solutions at RSNA 2018
News | Computer-Aided Detection Software | November 26, 2018
Medical imaging software company Arterys will demonstrate its wide-ranging suite of artificial intelligence (AI)-...
Lunit Unveiling AI-Based Mammography Solution at RSNA 2018
News | Mammography | November 15, 2018
Medical artificial intelligence (AI) software company Lunit will be returning to the 104th Radiological Society of...
Patients whose cancer has not spread far past the lungs may benefit from targeting tumor sites with radiation or surgery after initial treatment, according to ASTRO study
News | ASTRO | October 21, 2018
Adding radiation therapy or surgery to systemic therapy for stage IV lung cancer patients whose cancer has spread to
Body Vision Medical Announces Release of LungVision
Technology | Lung Cancer | October 05, 2018
Body Vision Medical, a medical device company specializing in lung cancer diagnostics, announced the launch of its...
Adherence to Annual Lung Cancer Screening Needs Improvement
News | Lung Cancer | October 03, 2018
A study of adherence to annual low-dose computed tomography (LDCT) screening within the Veteran Health Administration...
Augusta University Streamlines Lung Cancer Diagnosis With Hybrid Operating Room

Carsten Schroeder, M.D., thoracic surgical oncologist at the Georgia Cancer Center and Medical College of Georgia at Augusta University in the hybrid OR. Image courtesy of Phil Jones, Senior Photographer, Augusta University

News | Lung Cancer | September 26, 2018
September 26, 2018 — When it comes to surviving cancer, early detection and treatment could be the key to a patient's