Literature DB >> 28959069

Lumbar Spine X-Ray as a Standard Investigation for all Low back Pain in Ghana: Is It Evidence Based?

Abena Y Tannor1.   

Abstract

BACKGROUND: Low back pain (LBP) has a prevalence of 84% in Africa. The commonest form of imaging is plain lumbar spine x-ray. It gives a radiation dose equivalent to 65 times a chest x-ray dose and sends one of the highest doses to the human reproductive organs. The commonest cause of LBP in Africa is degenerative disease. X-ray findings do not change mode of treatment yet most physicians still routinely request for x-rays.
METHODS: This is a systematic review of databases including The Cochrane, CINAHL plus, AMED, and MEDLINE. Key evidence was clinical guidelines on x-ray use for low back pain. Key search terms included low back pain, x-rays, guidelines, Ghana.
RESULTS: Four clinical guidelines on LBP emerged from two Systematic Reviews rated excellent and four good Randomized Controlled Trials: The European guidelines for acute and sub-acute non-specific Low Back Pain, The American College of Physicians and the American Pain Society guideline for diagnostic imaging for Low Back Pain, The NICE guidelines for persistent non-specific Low Back Pain and the Ghana Standard Treatment Guidelines (GSTG). All the guidelines agree that a good history and clinical examination for all LBP patients helps in diagnosing. Only GSTG recommends routine plain spinal x-rays.
CONCLUSION: There is strong evidence indicating very little benefit from routine lumbar spine x-rays for all LBP. The GSTG needs to be revised considering the increased risks of radiation exposure and the x-ray costs. FUNDING: None declared.

Entities:  

Keywords:  Ghana; guidelines; investigations; low back pain; x-rays

Mesh:

Year:  2017        PMID: 28959069      PMCID: PMC5611945          DOI: 10.4314/gmj.v51i1.5

Source DB:  PubMed          Journal:  Ghana Med J        ISSN: 0016-9560


  21 in total

1.  Which clinical studies provide the best evidence? The best RCT still trumps the best observational study.

Authors:  S Barton
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2.  The practicality and validity of directly elicited and SF-36 derived health state preferences in patients with low back pain.

Authors:  William Hollingworth; Richard A Deyo; Sean D Sullivan; Scott S Emerson; Darryl T Gray; Jeffrey G Jarvik
Journal:  Health Econ       Date:  2002-01       Impact factor: 3.046

Review 3.  A critical review of the American Pain Society clinical practice guidelines for interventional techniques: part 1. Diagnostic interventions.

Authors:  Laxmaiah Manchikanti; Sukdeb Datta; Richard Derby; Lee R Wolfer; Ramsin M Benyamin; Joshua A Hirsch
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4.  Chapter 3. European guidelines for the management of acute nonspecific low back pain in primary care.

Authors:  Maurits van Tulder; Annette Becker; Trudy Bekkering; Alan Breen; Maria Teresa Gil del Real; Allen Hutchinson; Bart Koes; Even Laerum; Antti Malmivaara
Journal:  Eur Spine J       Date:  2006-03       Impact factor: 3.134

5.  Low back pain in hospital outpatients in Lomé (Togo).

Authors:  M Mijiyawa; O Oniankitan; B Kolani; T Koriko
Journal:  Joint Bone Spine       Date:  2000       Impact factor: 4.929

Review 6.  Interventions for improving the appropriate use of imaging in people with musculoskeletal conditions.

Authors:  Simon D French; Sally Green; Rachelle Buchbinder; Hayley Barnes
Journal:  Cochrane Database Syst Rev       Date:  2010-01-20

Review 7.  Diagnostic evaluation of low back pain with emphasis on imaging.

Authors:  Jeffrey G Jarvik; Richard A Deyo
Journal:  Ann Intern Med       Date:  2002-10-01       Impact factor: 25.391

8.  Evidence against the use of lumbar spine radiography for low back pain.

Authors:  M A A J van den Bosch; W Hollingworth; A L Kinmonth; A K Dixon
Journal:  Clin Radiol       Date:  2004-01       Impact factor: 2.350

9.  Explaining variation in GP referral rates for x-rays for back pain.

Authors:  Rachel Baker; Jan Lecouturier; Senga Bond
Journal:  Implement Sci       Date:  2006-08-02       Impact factor: 7.327

10.  Factors affecting general practitioners' decisions about plain radiography for back pain: implications for classification of guideline barriers--a qualitative study.

Authors:  Ansgar Espeland; Anders Baerheim
Journal:  BMC Health Serv Res       Date:  2003-03-24       Impact factor: 2.655

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  1 in total

1.  The exploration of feature extraction and machine learning for predicting bone density from simple spine X-ray images in a Korean population.

Authors:  Sangwoo Lee; Eun Kyung Choe; Hae Yeon Kang; Ji Won Yoon; Hua Sun Kim
Journal:  Skeletal Radiol       Date:  2019-11-23       Impact factor: 2.199

  1 in total

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