Aliyu Lawan1, Jackson Crites Videman2, Michele C Battié3. 1. Faculty of Health Sciences and Western's Bone and Joint Institute, Western University, London, ON, N6G1H1, Canada. 2. University of North Carolina, Chapel Hill, NC, USA. 3. Faculty of Health Sciences and Western's Bone and Joint Institute, Western University, London, ON, N6G1H1, Canada. mbattie@uwo.ca.
Abstract
PURPOSE: To clarify the current state of knowledge on the association of endplate structural defects and back pain. METHODS: Five databases were searched for studies reporting on the association between endplate structural defects and back pain. Covidence and comprehensive meta-analysis software were used for article screening and selection and pooling of extracted data. Overall quality of evidence was assessed using GRADE. RESULTS: Twenty-six studies comprised of 11,027 subjects met inclusion criteria. The presence of moderate heterogeneity (I2 = 73%; p = 0.001) prevented the pooling of estimates across all studies. However, it was possible to pool studies of specific endplate defect phenotypes, such as erosion (OR: 2.69; 95% CI: 1.35-5.50) and sclerosis (OR: 1.97; 95% CI: 1.50-2.58), which yielded significant associations with back pain. Schmorl's nodes were also associated with most individual back pain phenotypes (OR: 1.53-1326, I2 = 0-7.5%) and back pain overall (OR: 1.63, 95% CI: 1.37-1.94, I2 = 26%) in general population samples. The pooling of data from all studies of specific back pain phenotypes, such as frequent back pain (OR: 2.83; 95% CI: 1.77-4.52) and back pain incidence (OR: 1.65; 95% CI: 1.30-2.10), each yielded significant association with endplate structural defects and was supported by low heterogeneity (I2 = < 7.5.%). CONCLUSION: Overall, there is moderate quality evidence of an association between back pain and endplate structural defects, which is most evident for erosion, sclerosis and Schmorl's nodes. Going forward, research on specific endplate defect phenotypes and back pain case definitions using strong study designs will be important in clarifying the extent of associations and underlying mechanisms. The study was prospectively registered in Prospero (CRD42020170835) on 02/24/2020.
PURPOSE: To clarify the current state of knowledge on the association of endplate structural defects and back pain. METHODS: Five databases were searched for studies reporting on the association between endplate structural defects and back pain. Covidence and comprehensive meta-analysis software were used for article screening and selection and pooling of extracted data. Overall quality of evidence was assessed using GRADE. RESULTS: Twenty-six studies comprised of 11,027 subjects met inclusion criteria. The presence of moderate heterogeneity (I2 = 73%; p = 0.001) prevented the pooling of estimates across all studies. However, it was possible to pool studies of specific endplate defect phenotypes, such as erosion (OR: 2.69; 95% CI: 1.35-5.50) and sclerosis (OR: 1.97; 95% CI: 1.50-2.58), which yielded significant associations with back pain. Schmorl's nodes were also associated with most individual back pain phenotypes (OR: 1.53-1326, I2 = 0-7.5%) and back pain overall (OR: 1.63, 95% CI: 1.37-1.94, I2 = 26%) in general population samples. The pooling of data from all studies of specific back pain phenotypes, such as frequent back pain (OR: 2.83; 95% CI: 1.77-4.52) and back pain incidence (OR: 1.65; 95% CI: 1.30-2.10), each yielded significant association with endplate structural defects and was supported by low heterogeneity (I2 = < 7.5.%). CONCLUSION: Overall, there is moderate quality evidence of an association between back pain and endplate structural defects, which is most evident for erosion, sclerosis and Schmorl's nodes. Going forward, research on specific endplate defect phenotypes and back pain case definitions using strong study designs will be important in clarifying the extent of associations and underlying mechanisms. The study was prospectively registered in Prospero (CRD42020170835) on 02/24/2020.
Authors: Gordon Guyatt; Andrew D Oxman; Elie A Akl; Regina Kunz; Gunn Vist; Jan Brozek; Susan Norris; Yngve Falck-Ytter; Paul Glasziou; Hans DeBeer; Roman Jaeschke; David Rind; Joerg Meerpohl; Philipp Dahm; Holger J Schünemann Journal: J Clin Epidemiol Date: 2010-12-31 Impact factor: 6.437
Authors: Aaron Conger; Matthew Smuck; Eeric Truumees; Jeffrey C Lotz; Michael J DePalma; Zachary L McCormick Journal: Pain Med Date: 2022-07-20 Impact factor: 3.637
Authors: Zachary L McCormick; Aaron Conger; Matthew Smuck; Jeffrey C Lotz; Joshua A Hirsch; Colton Hickman; Katrina Harper; Taylor R Burnham Journal: Pain Med Date: 2022-07-20 Impact factor: 3.637