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Predicting surgical intervention in patients presenting with carpal tunnel syndrome in primary care

Overview of attention for article published in Clinical Epidemiology, June 2018
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  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Average Attention Score compared to outputs of the same age and source

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62 Mendeley
Title
Predicting surgical intervention in patients presenting with carpal tunnel syndrome in primary care
Published in
Clinical Epidemiology, June 2018
DOI 10.2147/clep.s154409
Pubmed ID
Authors

Claire L Burton, Linda S Chesterton, Ying Chen, Danielle A van der Windt

Abstract

Carpal tunnel syndrome (CTS) is a symptomatic compression neuropathy of the median nerve. This study investigated the value of candidate prognostic factors (PFs) in predicting carpal tunnel release surgery. This is a retrospective cohort study set in the Clinical Practice Research Datalink. Patients ≥18 years presenting with an incident episode of CTS were identified between 1989 and 2013. Candidate PF's defined in coded electronic patient records were identified following literature review and consultation with clinicians. Time to first carpal tunnel release surgery was the primary end point. A manual backward stepwise selection procedure was used to obtain an optimal prediction model, which included all the significant PFs. In total, 91,412 patients were included in the cohort. The following PFs were included in an optimal model (C-statistic: 0.588 [95% CI 0.584-0.592]) for predicting surgical intervention: geographical region; deprivation status; age hazard ratio (HR 1.02 per year, 95% CI 1.01-1.02); obesity (HR 1.23, 95% CI 1.19-1.27); alcohol drinker (HR 1.05, 95% CI 1.00-1.10); smoker (HR 1.06, 95% 1.03-1.10); inflammatory condition (HR 1.13, 95% CI 0.98-1.29); neck condition (HR 1.13, 95% CI 1.03-1.23); and multisite pain (HR 1.10, 95% CI 1.05-1.15). Although not included in the multivariable model, pregnancy (if gender female) within 1 year of the index consultation, reduced the risk of surgery (HR 0.24, 95% CI 0.21-0.28). This study shows that patients who are older and who have comorbidities including other pain conditions are more likely to have surgery, whereas patients presenting with CTS during or within a year of pregnancy are less likely to have surgery. This information can help to inform clinicians and patients about the likely outcome of treatment and to be aware of which patients may be less responsive to primary care interventions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 13%
Student > Ph. D. Student 7 11%
Researcher 6 10%
Student > Bachelor 5 8%
Other 5 8%
Other 10 16%
Unknown 21 34%
Readers by discipline Count As %
Medicine and Dentistry 20 32%
Nursing and Health Professions 7 11%
Unspecified 3 5%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Economics, Econometrics and Finance 2 3%
Other 7 11%
Unknown 20 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 December 2019.
All research outputs
#6,999,480
of 23,094,276 outputs
Outputs from Clinical Epidemiology
#275
of 727 outputs
Outputs of similar age
#121,191
of 330,324 outputs
Outputs of similar age from Clinical Epidemiology
#16
of 25 outputs
Altmetric has tracked 23,094,276 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 727 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has gotten more attention than average, scoring higher than 62% 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 330,324 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.