PMID- 31114300
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20201001
IS  - 1178-7090 (Print)
IS  - 1178-7090 (Electronic)
IS  - 1178-7090 (Linking)
VI  - 12
DP  - 2019
TI  - Classifying patients with lumbar disc herniation and exploring the most effective 
      risk factors for this disease.
PG  - 1179-1187
LID - 10.2147/JPR.S189927 [doi]
AB  - Objectives: To classify patients suffering from low back pain (LBP) into two 
      different groups - patients with lumbar disc herniation (LDH) and patients 
      without this disease based on simple questions and without magnetic resonance 
      imaging (MRI) procedure - and to diagnose the most effective risk factors of LDH. 
      Methods: Four hundred patients aged over 18 years suffering from LBP for over 6 
      months were randomized into two groups in this cross-sectional study. The data 
      were gathered at Besat clinic, in Kerman, southeast of Iran. Twelve dichotomous 
      questions from the main LDH risk factors were asked. Three statistical 
      classification methods - K-nearest neighbors (KNN), support vector machine (SVM), 
      and logistic regression (LR) - were performed. LR was used in order to diagnose 
      the most important risk factors of LDH. Results: SVM method was more efficient 
      among the small sample sizes, while KNN method showed the best classification 
      relative to other methods when the sample size increased. LR model had the least 
      efficiency of all. The drug use increased the chance of LDH more than 7 times 
      (OR=7.249), and the chance of having LDH among people who had associated illness 
      was 4.847 times more compared with people who did not have. Using hookah 
      increased the chance of having LDH more than twice (OR=2.401), and the chance of 
      smokers for LDH was near four times higher than nonsmokers (OR=3.877). 
      Conclusion: The statistical classification methods had acceptable precisions for 
      diagnosis of LDH patients. It is suggested that neurologists become more familiar 
      with these methods and use them before MRI prescription to decrease the 
      unnecessary burden on health services. Addiction to drugs, cigarettes, and hookah 
      is the main factor in the creation of a lumbar disc herniation.
FAU - Jafari, Samira
AU  - Jafari S
AD  - Modeling in Health Research Center, Institute for Futures Studies in Health, 
      Kerman University of Medical Sciences, Kerman, Iran.
FAU - Dehesh, Tania
AU  - Dehesh T
AD  - Department of Biostatistics and Epidemiology, School of Public Health, Kerman 
      University of Medical Sciences, Kerman, Iran.
FAU - Iranmanesh, Farhad
AU  - Iranmanesh F
AD  - Department of Neurology, Kerman University of Medical Sciences, Kerman, Iran.
LA  - eng
PT  - Journal Article
DEP - 20190415
PL  - New Zealand
TA  - J Pain Res
JT  - Journal of pain research
JID - 101540514
PMC - PMC6489673
OTO - NOTNLM
OT  - K nearest neighbors
OT  - classification
OT  - logistic regression
OT  - lumbar disc herniation
OT  - support vector machine
COIS- The authors report no conflicts of interest in this work.
EDAT- 2019/05/23 06:00
MHDA- 2019/05/23 06:01
PMCR- 2019/04/15
CRDT- 2019/05/23 06:00
PHST- 2018/10/06 00:00 [received]
PHST- 2019/02/18 00:00 [accepted]
PHST- 2019/05/23 06:00 [entrez]
PHST- 2019/05/23 06:00 [pubmed]
PHST- 2019/05/23 06:01 [medline]
PHST- 2019/04/15 00:00 [pmc-release]
AID - 189927 [pii]
AID - 10.2147/JPR.S189927 [doi]
PST - epublish
SO  - J Pain Res. 2019 Apr 15;12:1179-1187. doi: 10.2147/JPR.S189927. eCollection 2019.