Literature DB >> 15800434

Limited clinical utility of pain drawing in assessing patients with low back pain.

Ketan C Pande1, Sanjeev Tripathi, Rohit Kanoi.   

Abstract

OBJECTIVE: The aim of this study was to assess the use of pain drawing by studying its ability to identify patients with low back pain and abnormal psychological profile. The intraevaluator repeatability of the penalty point method of scoring of pain drawing was also evaluated.
METHODS: A total of 331 consecutive patients with low back pain were prospectively recruited. The psychologic profile was assessed using the Hospital Anxiety and Depression Scale. The pain drawings were scored with the penalty point method. The ability of pain drawing to identify patients with significant anxiety and depression was assessed by calculating the sensitivity, specificity, and positive predictive value. The intraevaluator repeatability was calculated for scoring done at an interval of 1 month using the kappa statistic.
RESULTS: There were statistically significant differences in the anxiety and depression scores in patients with normal (n = 200) and abnormal (n = 131) pain drawing (anxiety: 9 +/- 4 vs 10.3 +/- 3.7; depression: 8.1 +/- 3.5 vs 8.8 +/- 3.6; P < 0.005). The pain drawing had a low sensitivity for detecting patients with any degree of anxiety (43%) or depression (40%). The positive predictive value of pain drawing for anxiety and depression was 78% and 69%, respectively. The kappa value for intraobserver assessment was 0.6 (P < 0.05).
CONCLUSION: Though there are differences in anxiety and depression scores in patients with normal and abnormal pain drawing, the performance characteristics of pain drawing are less than acceptable and therefore limit its use in clinical practice.

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Mesh:

Year:  2005        PMID: 15800434     DOI: 10.1097/01.bsd.0000146762.44281.6d

Source DB:  PubMed          Journal:  J Spinal Disord Tech        ISSN: 1536-0652


  6 in total

1.  Colored Pain Drawing as a Clinical Tool in Differentiating Neuropathic Pain from Non-Neuropathic Pain.

Authors:  Nalini Sehgal; Debra B Gordon; Scott Hetzel; Miroslav Misha Backonja
Journal:  Pain Med       Date:  2021-03-18       Impact factor: 3.750

2.  Anxiety and depression affect pain drawings in cervical degenerative disc disease.

Authors:  Anna MacDowall; Yohan Robinson; Martin Skeppholm; Claes Olerud
Journal:  Ups J Med Sci       Date:  2017-05-15       Impact factor: 2.384

3.  The Spatial Extent of Pain Is Associated with Pain Intensity, Catastrophizing and Some Measures of Central Sensitization in People with Frozen Shoulder.

Authors:  Mercè Balasch-Bernat; Lirios Dueñas; Marta Aguilar-Rodríguez; Deborah Falla; Alessandro Schneebeli; Marta Navarro-Bosch; Enrique Lluch; Marco Barbero
Journal:  J Clin Med       Date:  2021-12-28       Impact factor: 4.241

4.  Usefulness of pain distribution pattern assessment in decision-making for the patients with lumbar zygapophyseal and sacroiliac joint arthropathy.

Authors:  Jae Hyun Jung; Hyoung Ihl Kim; Dong Ah Shin; Dong Gyu Shin; Jung Ok Lee; Hyo Joon Kim; Ji Hun Chung
Journal:  J Korean Med Sci       Date:  2007-12       Impact factor: 2.153

5.  The accuracy of pain drawing in identifying psychological distress in low back pain-systematic review and meta-analysis of diagnostic studies.

Authors:  Lucia Bertozzi; Anna Rosso; Antonio Romeo; Jorge Hugo Villafañe; Andrew A Guccione; Paolo Pillastrini; Carla Vanti
Journal:  J Phys Ther Sci       Date:  2015-10-30

6.  Novel Software for Pain Drawing Analysis.

Authors:  Asimakis K Kanellopoulos; Emmanouil K Kanellopoulos; Zacharias Dimitriadis; Nikolaos S Strimpakos; Andriana Koufogianni; Anthi A Kellari; Ioannis A Poulis
Journal:  Cureus       Date:  2021-12-14
  6 in total

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