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Symptom attributions in patients with colorectal cancer

Overview of attention for article published in BMC Primary Care, September 2015
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Title
Symptom attributions in patients with colorectal cancer
Published in
BMC Primary Care, September 2015
DOI 10.1186/s12875-015-0315-9
Pubmed ID
Authors

Line Flytkjær Jensen, Line Hvidberg, Anette Fischer Pedersen, Peter Vedsted

Abstract

Symptoms of cancer may be interpreted differently by different patients before the diagnosis. This study investigated symptom attributions in Danish patients with colorectal cancer and the potential associations with symptom type, socio-demographic characteristics and patient interval. Data were collected among incident colorectal cancer patients (n = 577, response rate 64.2 %), who were asked to think back on the time before their diagnosis when completing the questionnaire. The questionnaire comprised a Danish version of the revised Illness Perception Questionnaire (IPQ-R) with questions on 19 symptom attributions. These 19 attribitutions were categorised into five causal groups for statistical analyses. The patient interval (i.e. the time from the patient's first symptom experience to presentation to the healthcare system) was assessed in the same questionnaire. Data on socio-demographic characteristics were obtained by using nationwide registers from Statistics Denmark. Patients who experienced 'blood in stool' as the most important symptom were more likely to attribute this to cancer (PRad 1.90, 95 % CI 1.43-2.54) and benign somatic causes (PRad 1.33, 95 % CI 1.02-1.72), such as haemorrhoids, compared to patients who did not perceive this symptom as the most important. Socio-demographic characteristics were also associated with symptom attribution. Patients with higher educational levels were less likely to attribute their most important symptom to psychological causes (PRad 0.57, 95 % CI 0.35-0.94) than patients with lower educational levels. Patients with rectal cancer attributed their most important symptom to a benign somatic cause more often than patients with colon cancer (PRad 1.39, 95 % CI 1.07-1.80). Symptom attribution in patients was associated with aspects of socio-demography and with the symptom type perceived by the patient as the most important. No significant associations were found between symptom attributions and patient interval. These results have implications for general practice as symptom attributions may prompt patients to present symptoms in a certain way and thereby influence the general practitioner's assessment of presented symptoms.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Unknown 71 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 17 24%
Student > Ph. D. Student 11 15%
Student > Master 7 10%
Other 5 7%
Researcher 4 6%
Other 6 8%
Unknown 22 31%
Readers by discipline Count As %
Medicine and Dentistry 19 26%
Nursing and Health Professions 8 11%
Psychology 7 10%
Biochemistry, Genetics and Molecular Biology 4 6%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Other 6 8%
Unknown 25 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 03 September 2015.
All research outputs
#17,285,668
of 25,373,627 outputs
Outputs from BMC Primary Care
#1,714
of 2,359 outputs
Outputs of similar age
#166,003
of 276,999 outputs
Outputs of similar age from BMC Primary Care
#44
of 54 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,359 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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 276,999 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.