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X Demographics
Mendeley readers
| Title |
The challenges of long-term follow-up data collection in non-commercial, academically-led breast cancer clinical trials: the UK perspective
|
|---|---|
| Published in |
Trials, September 2014
|
| DOI | 10.1186/1745-6215-15-379 |
| Pubmed ID | |
| Authors |
Lucy S Kilburn, Jane Banerji, Judith M Bliss |
| Abstract |
Improved survival rates in early breast cancer and the chronic nature of disease relapse result in a large cohort of patients being available for long-term follow-up (LTFUP) in randomised controlled trials. Whilst of recognised scientific value to assess long-term treatment-related sequelae, the volume of this activity can be challenging for trialists and participating sites, and comes at a considerable cost to research funders and the National Health Service (NHS). A National Cancer Research Institute Breast Clinical Studies Group supported project aimed to characterise UK LTFUP data collection procedures in order to propose improvements. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
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 % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Unknown | 49 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 20% |
| Student > Master | 6 | 12% |
| Researcher | 5 | 10% |
| Student > Doctoral Student | 3 | 6% |
| Student > Bachelor | 3 | 6% |
| Other | 12 | 24% |
| Unknown | 11 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 32% |
| Computer Science | 3 | 6% |
| Nursing and Health Professions | 3 | 6% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Physics and Astronomy | 2 | 4% |
| Other | 11 | 22% |
| Unknown | 13 | 26% |