ArticleThe Journal of manual & manipulative therapy2010
The development of a clinical decision making algorithm for detection of osteoporotic vertebral compression fracture or wedge deformity.
Article in The Journal of manual & manipulative therapy, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 3 syntheses or guidelines pooled it, 25 citations in OpenAlex.
- Red flags to screen for vertebral fracture in patients presenting with low-back pain.The Cochrane database of systematic reviews · 2023Pooled it
- Clinical classification in low back pain: best-evidence diagnostic rules based on systematic reviews.BMC musculoskeletal disorders · 2017Pooled it
- Red flags to screen for malignancy and fracture in patients with low back pain: systematic review.BMJ (Clinical research ed.) · 2013Pooled it
- Red flags to screen for vertebral fracture in people presenting with low back pain.The Cochrane database of systematic reviews · 2023Review
- Diagnosis Value of Patient Evaluation Components Applicable in Primary Care Settings for the Diagnosis of Low Back Pain: A Scoping Review of Systematic Reviews.Journal of clinical medicine · 2023Article
- Finite element analysis of dynamic changes in spinal mechanics of osteoporotic lumbar fracture.European journal of medical research · 2022Article
- Development of a clinical decision support tool for diagnostic imaging use in patients with low back pain: a study protocol.Diagnostic and prognostic research · 2019Article
- Red flags presented in current low back pain guidelines: a review.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2016Review
- Diagnostic accuracy of physical examination tests of the ankle/foot complex: a systematic review.International journal of sports physical therapy · 2013Article
- Differences in comorbidities on low back pain and low back related leg pain.Pain practice : the official journal of World Institute of PainArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The clinical diagnosis of an osteoporotic vertebral compression fracture (OVCF) is challenging and requires detailed assessment using comprehensive imaging methods. Further complicating matter is that the clinical sequelae associated with OVCF typically involves asymptomatic findings and variable pain patterns. The purpose of this study was to identify clinical characteristics and assessment findings that were associated with a diagnosis of OVCF. The study evaluated routine clinical findings in over 1400 subjects seen at an adult spine surgery clinic for thoracolumbar spine-related conditions within the years 2005-2009. All patients underwent a standardized clinical examination that included a self-report, observational, physical examination and imaging assessment. The diagnosis of OVCF was made after assessment of radiographic findings in sagittal alignment, vertebral body compression, and spinal canal dimensions. Data from the patient history and observational findings were then statistically analyzed and compared between those patients with a diagnosis of OVCF and those with an alternative diagnosis. Based on the results, a diagnostic support tool was created to predict the likelihood of OVCF. The most diagnostic combination included a cluster of: (1) age > 52 years; (2) no presence of leg pain; (3) body mass index ⩽ 22; (4) does not exercise regularly; and (5) female gender. A finding of two of five positive tests or less demonstrated high sensitivity of 0.95 (95% CI = 0.83-0.99) and low negative likelihood ratio of 0.16 (95% CI = 0.04-0.51), providing moderate value to rule out OVCF. Four of five yielded a positive likelihood ratio (LR+) of 9.6 (95% CI = 3.7-14.9) providing moderate value in ruling in the diagnosis of OVCF. Further validation is necessary prospectively to determine the value of these findings on a disparate sample of patients in other unique environments.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.