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The Danish cancer pathway for patients with serious non-specific symptoms and signs of cancer–a cross-sectional study of patient characteristics and cancer probability

Overview of attention for article published in BMC Cancer, May 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#49 of 4,975)
  • High Attention Score compared to outputs of the same age (95th percentile)

Mentioned by

news
1 news outlet
blogs
3 blogs
policy
1 policy source
twitter
6 tweeters

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
69 Mendeley
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Title
The Danish cancer pathway for patients with serious non-specific symptoms and signs of cancer–a cross-sectional study of patient characteristics and cancer probability
Published in
BMC Cancer, May 2015
DOI 10.1186/s12885-015-1424-5
Pubmed ID
Authors

Mads Lind Ingeman, Morten Bondo Christensen, Flemming Bro, Søren T. Knudsen, Peter Vedsted

Abstract

A Danish cancer pathway has been implemented for patients with serious non-specific symptoms and signs of cancer (NSSC-CPP). The initiative is one of several to improve the long diagnostic interval and the poor survival of Danish cancer patients. However, little is known about the patients investigated under this pathway. We aim to describe the characteristics of patients referred from general practice to the NSSC-CPP and to estimate the cancer probability and distribution in this population. A cross-sectional study was performed, including all patients referred to the NSSC-CPP at the hospitals in Aarhus or Silkeborg in the Central Denmark Region between March 2012 and March 2013. Data were based on a questionnaire completed by the patient's general practitioner (GP) combined with nationwide registers. Cancer probability was the percentage of new cancers per investigated patient. Associations between patient characteristics and cancer diagnosis were estimated with prevalence rate ratios (PRRs) from a generalised linear model. The mean age of all 1278 included patients was 65.9 years, and 47.5 % were men. In total, 16.2 % of all patients had a cancer diagnosis after six months; the most common types were lung cancer (17.9 %), colorectal cancer (12.6 %), hematopoietic tissue cancer (10.1 %) and pancreatic cancer (9.2 %). All patients in combination had more than 80 different symptoms and 51 different clinical findings at referral. Most symptoms were non-specific and vague; weight loss and fatigue were present in more than half of all cases. The three most common clinical findings were 'affected general condition' (35.8 %), 'GP's gut feeling' (22.5 %) and 'findings from the abdomen' (13.0 %). A strong association was found between GP-estimated cancer risk at referral and probability of cancer. In total, 16.2 % of the patients referred through the NSSC-CPP had cancer. They constituted a heterogeneous group with many different symptoms and clinical findings. The GP's gut feeling was a common reason for referral which proved to be a strong predictor of cancer. The GP's overall estimation of the patient's risk of cancer at referral was associated with the probability of finding cancer.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 1%
Unknown 68 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 23%
Student > Ph. D. Student 15 22%
Other 8 12%
Student > Master 8 12%
Student > Postgraduate 5 7%
Other 10 14%
Unknown 7 10%
Readers by discipline Count As %
Medicine and Dentistry 38 55%
Nursing and Health Professions 4 6%
Psychology 3 4%
Social Sciences 2 3%
Agricultural and Biological Sciences 2 3%
Other 7 10%
Unknown 13 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 40. 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 25 July 2018.
All research outputs
#410,697
of 13,278,410 outputs
Outputs from BMC Cancer
#49
of 4,975 outputs
Outputs of similar age
#9,411
of 233,958 outputs
Outputs of similar age from BMC Cancer
#1
of 1 outputs
Altmetric has tracked 13,278,410 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,975 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 99% 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 233,958 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 95% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them