| Title |
Long-term quality of life changes after primary septorhinoplasty
|
|---|---|
| Published in |
Quality of Life Research, December 2017
|
| DOI | 10.1007/s11136-017-1761-8 |
| Pubmed ID | |
| Authors |
Olcay Cem Bulut, Frank Wallner, Dare Oladokun, Claire Kayser, Michaela Plath, Eric Schulz, Peter Karl Plinkert, Ingo Baumann |
| Abstract |
Health-related quality of life measurements are gaining in importance in clinical medicine. Little is known about the long-term quality of life changes after septorhinoplasty. This study was designed to analyse the long-term quality of life impacts of septorhinoplasty, using disease-specific instruments-rhinoplasty outcome evaluation (ROE) and Functional Rhinoplasty Outcome Inventory-17 (FROI-17); as well as a generic instrument-Short-Form 36 Health Survey (SF-36). Patients completed the FROI-17, the ROE and the SF-36 preoperatively and at 12 and 60 months postoperatively. General demographic and clinical information (age, gender, allergies, medication, medical and surgical history) were collected from all patients. We report a significant increase in disease-specific QOL after primary septorhinoplasty (as measured with the ROE & FROI-17) and in two scales of the SF-36 generic instrument (role-functioning physical and mental health) 1 year after surgery. Our patients showed further significant increase in disease-specific QOL (FROI-17) after their primary septorhinoplasty (1 year vs. 5 years postoperatively). SF-36 results showed significant improvements 5 years postoperatively (compared to preoperative scores) in six out of eight scales (physical functioning, role-functioning physical, bodily pain, vitality, social functioning and mental health). Septorhinoplasty can improve disease-specific and non-disease-specific QOL in the short- and long-term postoperative period. These improvements remain measurable 5 years after surgery. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 17% |
| Other | 3 | 9% |
| Researcher | 3 | 9% |
| Student > Postgraduate | 2 | 6% |
| Student > Doctoral Student | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 18 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 31% |
| Agricultural and Biological Sciences | 2 | 6% |
| Social Sciences | 2 | 6% |
| Psychology | 1 | 3% |
| Neuroscience | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 17 | 49% |
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 04 December 2017.
All research outputs
#20,453,782
of 23,009,818 outputs
Outputs from Quality of Life Research
#2,653
of 2,915 outputs
Outputs of similar age
#374,467
of 439,388 outputs
Outputs of similar age from Quality of Life Research
#60
of 64 outputs
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