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Symptoms and other factors associated with time to diagnosis and stage of lung cancer: a prospective cohort study

Overview of attention for article published in British Journal of Cancer, March 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

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2 news outlets
twitter
1 X user
facebook
1 Facebook page

Citations

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162 Dimensions

Readers on

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230 Mendeley
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Title
Symptoms and other factors associated with time to diagnosis and stage of lung cancer: a prospective cohort study
Published in
British Journal of Cancer, March 2015
DOI 10.1038/bjc.2015.30
Pubmed ID
Authors

F M Walter, G Rubin, C Bankhead, H C Morris, N Hall, K Mills, C Dobson, R C Rintoul, W Hamilton, J Emery

Abstract

Background:This prospective cohort study aimed to identify symptom and patient factors that influence time to lung cancer diagnosis and stage at diagnosis.Methods:Data relating to symptoms were collected from patients upon referral with symptoms suspicious of lung cancer in two English regions; we also examined primary care and hospital records for diagnostic routes and diagnoses. Descriptive and regression analyses were used to investigate associations between symptoms and patient factors with diagnostic intervals and stage.Results:Among 963 participants, 15.9% were diagnosed with primary lung cancer, 5.9% with other thoracic malignancies and 78.2% with non-malignant conditions. Only half the cohort had an isolated first symptom (475, 49.3%); synchronous first symptoms were common. Haemoptysis, reported by 21.6% of cases, was the only initial symptom associated with cancer. Diagnostic intervals were shorter for cancer than non-cancer diagnoses (91 vs 124 days, P=0.037) and for late-stage than early-stage cancer (106 vs 168 days, P=0.02). Chest/shoulder pain was the only first symptom with a shorter diagnostic interval for cancer compared with non-cancer diagnoses (P=0.003).Conclusions:Haemoptysis is the strongest symptom predictor of lung cancer but occurs in only a fifth of patients. Programmes for expediting earlier diagnosis need to focus on multiple symptoms and their evolution.British Journal of Cancer advance online publication, 3 March 2015; doi:10.1038/bjc.2015.30 www.bjcancer.com.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 230 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 230 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 32 14%
Student > Master 31 13%
Researcher 24 10%
Student > Ph. D. Student 20 9%
Other 16 7%
Other 37 16%
Unknown 70 30%
Readers by discipline Count As %
Medicine and Dentistry 88 38%
Biochemistry, Genetics and Molecular Biology 16 7%
Nursing and Health Professions 14 6%
Agricultural and Biological Sciences 4 2%
Psychology 4 2%
Other 23 10%
Unknown 81 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 September 2022.
All research outputs
#1,790,685
of 23,400,864 outputs
Outputs from British Journal of Cancer
#838
of 10,574 outputs
Outputs of similar age
#23,667
of 258,083 outputs
Outputs of similar age from British Journal of Cancer
#41
of 142 outputs
Altmetric has tracked 23,400,864 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,574 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one has done particularly well, scoring higher than 92% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 258,083 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 142 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.