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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A precision medicine approach to a patient with unresolved pain following orthopedic surgery: a case report
|
|---|---|
| Published in |
Journal of Medical Case Reports, February 2017
|
| DOI | 10.1186/s13256-017-1207-5 |
| Pubmed ID | |
| Authors |
David Gazzaniga, Ashley Brenton, Brian Meshkin |
| Abstract |
Precision medicine is a promising technology in patient care that combines genetic analysis with clinical data, such as health, behavioral, functional, environment, and lifestyle information. Here we present the case of a 54-year old woman who, following an accident, had uncontrolled chronic pain and was subsequently labeled a drug seeker. A 54-year-old white woman who was experiencing severe calf pain was referred for treatment. Her pain was insufficiently controlled immediately following knee arthroplasty with multiple opioid medications, as well as non-opioids. Precision medicine testing was ordered for her so that we could assess her pain sensitivity objectively to determine if the pill seeker designation was correct and to determine the best medications for her. Based on the Proove profiles, we determined that she had moderately low pain sensitivity, which means that clinically she may underreport pain and may have decreased medication needs. This result suggested that her continued reporting of unresolved pain was probably due to a condition unresolved by her right knee arthroplasty. In addition, she was found to be at low risk of opioid addiction, based on the Proove Opioid Risk Profile. Taken together, along with the high levels of pain she described, we determined that her pain was not properly controlled and that the designation of pill seeker was incorrect. The next step was to determine which medications and which doses would result in the most favorable outcomes for our patient. To determine this, we used the results of the Proove Opioid Response, Proove Drug Metabolism, and Proove Non-Opioid Profiles to guide her treatment. We reduced her pain medications to a single opioid, Vicodin (acetaminophen and hydrocodone), which also eliminated the adverse side effects she experienced. Precision medicine offers an important health care decision tool which can reduce emotional and physical costs to patients and may reduce the economic health care burden of unnecessary surgeries and ineffective medication. The information provided by these profiles can be used clinically to guide treatment decisions and evaluate patient pain. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 20% |
| United Kingdom | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 17% |
| Student > Master | 5 | 10% |
| Student > Doctoral Student | 5 | 10% |
| Other | 4 | 8% |
| Student > Postgraduate | 3 | 6% |
| Other | 10 | 21% |
| Unknown | 13 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 33% |
| Nursing and Health Professions | 5 | 10% |
| Computer Science | 2 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Agricultural and Biological Sciences | 2 | 4% |
| Other | 8 | 17% |
| Unknown | 13 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 409. 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 21 July 2017.
All research outputs
#59,791
of 22,957,478 outputs
Outputs from Journal of Medical Case Reports
#4
of 3,937 outputs
Outputs of similar age
#1,689
of 311,652 outputs
Outputs of similar age from Journal of Medical Case Reports
#1
of 90 outputs
Altmetric has tracked 22,957,478 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,937 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 311,652 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 99% of its contemporaries.
We're also able to compare this research output to 90 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 98% of its contemporaries.