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Symptoms of adult chronic and acute leukaemia before diagnosis: large primary care case-control studies using electronic records

Overview of attention for article published in British Journal of General Practice, February 2016
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About this Attention Score

  • 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 (75th percentile)

Mentioned by

news
1 news outlet
twitter
17 tweeters
facebook
2 Facebook pages

Citations

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9 Dimensions

Readers on

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72 Mendeley
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Title
Symptoms of adult chronic and acute leukaemia before diagnosis: large primary care case-control studies using electronic records
Published in
British Journal of General Practice, February 2016
DOI 10.3399/bjgp16x683989
Pubmed ID
Authors

Elizabeth A Shephard, Richard D Neal, Peter W Rose, Fiona M Walter, Willie Hamilton

Abstract

Leukaemia is the eleventh commonest UK cancer. The four main subtypes have different clinical profiles, particularly between chronic and acute types. To identify the symptom profiles of chronic and acute leukaemia in adults in primary care. Matched case-control studies using Clinical Practice Research Datalink records. Putative symptoms of leukaemia were identified in the year before diagnosis. Conditional logistic regression was used for analysis, and positive predictive values (PPVs) were calculated to estimate risk. Of cases diagnosed between 2000 and 2009, 4655 were aged ≥40 years (2877 chronic leukaemia (CL), 937 acute leukaemia (AL), 841 unreported subtype). Ten symptoms were independently associated with CL, the three strongest being: lymphadenopathy (odds ratio [OR] 22, 95% confidence interval [CI] = 13 to 36), weight loss (OR 3.0, 95% CI = 2.1 to 4.2), and bruising (OR 2.3, 95% CI = 1.6 to 3.2). Thirteen symptoms were independently associated with AL, the three strongest being: nosebleeds and/or bleeding gums (OR 5.7, 95% CI = 3.1 to 10), fever (OR 5.3, 95% CI = 2.7 to 10), and fatigue (OR 4.4, 95% CI = 3.3 to 6.0). No individual symptom or combination of symptoms had a PPV >1%. The symptom profiles of CL and AL have both overlapping and distinct features. This presents a dichotomy for GPs: diagnosis, by performing a full blood count, is easy; however, the symptoms of leukaemia are non-specific and of relatively low risk. This explains why many leukaemia diagnoses are unexpected findings.

Twitter Demographics

The data shown below were collected from the profiles of 17 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 17 24%
Student > Ph. D. Student 11 15%
Researcher 8 11%
Other 6 8%
Student > Master 6 8%
Other 10 14%
Unknown 14 19%
Readers by discipline Count As %
Medicine and Dentistry 20 28%
Biochemistry, Genetics and Molecular Biology 11 15%
Pharmacology, Toxicology and Pharmaceutical Science 4 6%
Nursing and Health Professions 4 6%
Mathematics 2 3%
Other 12 17%
Unknown 19 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 07 April 2019.
All research outputs
#961,392
of 14,590,652 outputs
Outputs from British Journal of General Practice
#523
of 3,198 outputs
Outputs of similar age
#24,329
of 265,498 outputs
Outputs of similar age from British Journal of General Practice
#20
of 80 outputs
Altmetric has tracked 14,590,652 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,198 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one has done well, scoring higher than 83% 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 265,498 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 80 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.