↓ Skip to main content

Typical and atypical presenting symptoms of breast cancer and their associations with diagnostic intervals: Evidence from a national audit of cancer diagnosis

Overview of attention for article published in Cancer Epidemiology, June 2017
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#40 of 778)
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
1 news outlet
twitter
31 tweeters

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
203 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Typical and atypical presenting symptoms of breast cancer and their associations with diagnostic intervals: Evidence from a national audit of cancer diagnosis
Published in
Cancer Epidemiology, June 2017
DOI 10.1016/j.canep.2017.04.010
Pubmed ID
Authors

Minjoung Monica Koo, Christian von Wagner, Gary A. Abel, Sean McPhail, Greg P. Rubin, Georgios Lyratzopoulos

Abstract

Most symptomatic women with breast cancer have relatively short diagnostic intervals but a substantial minority experience prolonged journeys to diagnosis. Atypical presentations (with symptoms other than breast lump) may be responsible. We examined the presenting symptoms of breast cancer in women using data from a national audit initiative (n=2316). Symptoms were categorised topographically. We investigated variation in the length of the patient interval (time from symptom onset to presentation) and the primary care interval (time from presentation to specialist referral) across symptom groups using descriptive analyses and quantile regression. A total of 56 presenting symptoms were described: breast lump was the most frequent (83%) followed by non-lump breast symptoms, (e.g. nipple abnormalities (7%) and breast pain (6%)); and non-breast symptoms (e.g. back pain (1%) and weight loss (0.3%)). Greater proportions of women with 'non-lump only' and 'both lump and non-lump' symptoms waited 90days or longer before seeking help compared to those with 'breast lump only' (15% and 20% vs. 7% respectively). Quantile regression indicated that the differences in the patient interval persisted after adjusting for age and ethnicity, but there was little variation in primary care interval for the majority of women. About 1 in 6 women with breast cancer present with a large spectrum of symptoms other than breast lump. Women who present with non-lump breast symptoms tend to delay seeking help. Further emphasis of breast symptoms other than breast lump in symptom awareness campaigns is warranted.

Twitter Demographics

The data shown below were collected from the profiles of 31 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 203 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 203 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 51 25%
Student > Master 27 13%
Student > Postgraduate 20 10%
Researcher 20 10%
Student > Ph. D. Student 16 8%
Other 30 15%
Unknown 39 19%
Readers by discipline Count As %
Medicine and Dentistry 75 37%
Nursing and Health Professions 27 13%
Biochemistry, Genetics and Molecular Biology 15 7%
Pharmacology, Toxicology and Pharmaceutical Science 7 3%
Agricultural and Biological Sciences 6 3%
Other 27 13%
Unknown 46 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 29 April 2020.
All research outputs
#784,748
of 15,542,315 outputs
Outputs from Cancer Epidemiology
#40
of 778 outputs
Outputs of similar age
#22,746
of 270,144 outputs
Outputs of similar age from Cancer Epidemiology
#1
of 14 outputs
Altmetric has tracked 15,542,315 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 778 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. This one has done particularly well, scoring higher than 94% 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 270,144 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 91% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.