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X Demographics
Mendeley readers
| Title |
A feasibility study examining the effect on lung cancer diagnosis of offering a chest X-ray to higher-risk patients with chest symptoms: protocol for a randomized controlled trial
|
|---|---|
| Published in |
Trials, November 2013
|
| DOI | 10.1186/1745-6215-14-405 |
| Pubmed ID | |
| Authors |
Christopher N Hurt, Kirsty Roberts, Trevor K Rogers, Gareth O Griffiths, Kerry Hood, Hayley Prout, Annmarie Nelson, Jim Fitzgibbon, Allan Barham, Emma Thomas-Jones, Rhiannon Tudor Edwards, Seow Tien Yeo, William Hamilton, Angela Tod, Richard D Neal |
| Abstract |
In order to improve lung cancer survival in the UK, a greater proportion of resectable cancers must be diagnosed. It is likely that resectability rates would be increased by more timely diagnosis. Aside from screening, the only way of achieving this is to reduce the time to diagnosis in symptomatic cancers. Currently, lung cancers are mainly diagnosed by general practitioners (GPs) using the National Institute for Health and Clinical Excellence (NICE) guidelines for urgent referral for chest X-ray, which recommend urgent imaging or referral for patients who have one of a number of chest symptoms for more than 3 weeks. We are proposing to expand this recommendation to include one of a number of chest symptoms of any duration in higher-risk patients. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 71% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 18% |
| Researcher | 9 | 18% |
| Student > Master | 8 | 16% |
| Other | 3 | 6% |
| Professor | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 14 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 32% |
| Nursing and Health Professions | 7 | 14% |
| Psychology | 3 | 6% |
| Economics, Econometrics and Finance | 2 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 16 | 32% |