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Artículos de revistas sobre el tema "Pain mapping"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 28 de enero de 2023

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1

Almeida, Oscar D. y John M. Val-Gallas. "Conscious pain mapping". Journal of the American Association of Gynecologic Laparoscopists 4, n.º 5 (noviembre de 1997): 587–90. http://dx.doi.org/10.1016/s1074-3804(05)80093-3.

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2

Bayam, Levent, Rajendra Arumilli, Ian Horsley, Fatma Bayam, Lee Herrington y Lennard Funk. "Testing Shoulder Pain Mapping". Pain Medicine 18, n.º 7 (22 de febrero de 2017): 1382–93. http://dx.doi.org/10.1093/pm/pnw326.

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3

Demco, LA. "Pain mapping of adhesions". Journal of the American Association of Gynecologic Laparoscopists 6, n.º 3 (agosto de 1999): S10—S11. http://dx.doi.org/10.1016/s1074-3804(99)80152-2.

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4

Demco, LA. "Pain mapping of adhesions". Journal of the American Association of Gynecologic Laparoscopists 9, n.º 3 (agosto de 2002): S14. http://dx.doi.org/10.1016/s1074-3804(02)80041-x.

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5

Demco, Larry. "Pain Mapping of Adhesions". Journal of the American Association of Gynecologic Laparoscopists 11, n.º 2 (mayo de 2004): 181–83. http://dx.doi.org/10.1016/s1074-3804(05)60195-8.

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6

Howard, FM y AM El-Minawi. "Conscious pain mapping for chronic pelvic pain". Journal of the American Association of Gynecologic Laparoscopists 5, n.º 3 (agosto de 1998): S20. http://dx.doi.org/10.1016/s1074-3804(05)80305-6.

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7

Howard, FM, AM El-Minawi y RA Sanchez. "Conscious pain mapping for chronic pelvic pain". Journal of the American Association of Gynecologic Laparoscopists 6, n.º 3 (agosto de 1999): S21. http://dx.doi.org/10.1016/s1074-3804(99)80190-x.

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8

Janicki, T. y R. Skaf. "Conscious pain mapping using standard laparoscopic equipment and symptom oriented pain mapping form". Journal of the American Association of Gynecologic Laparoscopists 11, n.º 3 (agosto de 2004): S31—S32. http://dx.doi.org/10.1016/s1074-3804(04)80348-7.

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9

Readman, Emma y Peter J. Maher. "Pain mapping, awake laparoscopy and chronic pelvic pain". Australian and New Zealand Journal of Obstetrics and Gynaecology 43, n.º 4 (agosto de 2003): 324–25. http://dx.doi.org/10.1046/j.0004-8666.2003.00080.x.

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10

Washington, T., P. Gulur, G. Fanciullo, R. Jamison, G. McHugo y J. Baird. "(361) Three-dimensional pain mapping". Journal of Pain 9, n.º 4 (abril de 2008): 66. http://dx.doi.org/10.1016/j.jpain.2008.01.285.

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11

Renner, Stefan P., Alexander S. Boosz, Stefanie Burghaus, Christian Maihöfner, Matthias W. Beckmann, Peter A. Fasching y Sebastian M. Jud. "Visual pain mapping in endometriosis". Archives of Gynecology and Obstetrics 286, n.º 3 (9 de mayo de 2012): 687–93. http://dx.doi.org/10.1007/s00404-012-2369-4.

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12

Hosomi, Koichi, Takeshi Shimizu, Yuko Goto, Tomoo Mano, Yoshinori Kadono, Satoru Oshino, Haruhiko Kishima, Toshiki Yoshimine y Youichi Saitoh. "Voxel-based lesion mapping on central poststroke pain ". PAIN RESEARCH 31, n.º 4 (2016): 228–37. http://dx.doi.org/10.11154/pain.31.228.

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13

&NA;. "Mapping Back Pain Backward Into Childhood". Back Letter 28, n.º 12 (diciembre de 2013): 134. http://dx.doi.org/10.1097/01.back.0000440821.89515.5d.

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14

Yunker, Amanda y John Steege. "Practical Guide to Laparoscopic Pain Mapping". Journal of Minimally Invasive Gynecology 17, n.º 1 (enero de 2010): 8–11. http://dx.doi.org/10.1016/j.jmig.2009.10.008.

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15

Steege, John F. "Clinical Utility of Pelvic Pain Mapping". Journal of the American Association of Gynecologic Laparoscopists 8, n.º 2 (mayo de 2001): 263–66. http://dx.doi.org/10.1016/s1074-3804(05)60588-9.

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16

Yong, P. J., C. Sutton, M. Suen y C. Williams. "Endovaginal ultrasound-assisted pain mapping in endometriosis and chronic pelvic pain". Journal of Obstetrics and Gynaecology 33, n.º 7 (octubre de 2013): 715–19. http://dx.doi.org/10.3109/01443615.2013.821971.

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17

Wurff, Peter van der, Evert J. Buijs y Gerbrand J. Groen. "Intensity mapping of pain referral areas in sacroiliac joint pain patients". Journal of Manipulative and Physiological Therapeutics 29, n.º 3 (marzo de 2006): 190–95. http://dx.doi.org/10.1016/j.jmpt.2006.01.007.

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18

HOWARD, FRED M., AHMED M. EL-MINAWI y REINALDO A. SANCHEZ. "Conscious Pain Mapping by Laparoscopy in Women With Chronic Pelvic Pain". Obstetrics & Gynecology 96, n.º 6 (diciembre de 2000): 934–39. http://dx.doi.org/10.1097/00006250-200012000-00013.

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19

Watts, DA y HT Sharp. "Pain outcomes in patients undergoing conscious pain mapping versus standard laparoscopy". Journal of the American Association of Gynecologic Laparoscopists 8, n.º 3 (agosto de 2001): S76. http://dx.doi.org/10.1016/s1074-3804(01)80252-8.

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20

Howard, F. "Conscious pain mapping by laparoscopy in women with chronic pelvic pain". Obstetrics & Gynecology 96, n.º 6 (diciembre de 2000): 934–39. http://dx.doi.org/10.1016/s0029-7844(00)01056-5.

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21

Jud, Sebastian M., Peter A. Fasching, Christian Maihöfner, Katharina Heusinger, Christian R. Loehberg, Reinhard Hatko, Claudia Rauh et al. "Pain perception and detailed visual pain mapping in breast cancer survivors". Breast Cancer Research and Treatment 119, n.º 1 (30 de julio de 2009): 105–10. http://dx.doi.org/10.1007/s10549-009-0485-z.

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22

Yanagisawa, Takufumi, Youichi Saitoh, Koichi Hosomi, Masayuki Hirata, Haruhiko Kishima, Satoru Oshino, Tetsu Goto y Toshiki Yoshimine. "Functional mapping in motor cortex of the patients with phantom limb pain". PAIN RESEARCH 24, n.º 1 (2009): 31–36. http://dx.doi.org/10.11154/pain.24.31.

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23

Singh, Sudhir, Farid Mohammad, Sumit Gill, Dharmendra Kumar y Sanjiv Kumar. "Utility of Pain Mapping in Shoulder Disorders". International Journal of Orthopaedics 2, n.º 3 (2015): 323–27. http://dx.doi.org/10.17554/j.issn.2311-5106.2015.02.80.

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24

Sleeswijk Visser, Tjerk S. O., Eline M. van Es, Duncan E. Meuffels, Jan A. N. Verhaar y Robert-Jan de Vos. "Standardized pain mapping for diagnosing Achilles tendinopathy". Journal of Science and Medicine in Sport 25, n.º 3 (marzo de 2022): 204–8. http://dx.doi.org/10.1016/j.jsams.2021.10.010.

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25

Steege, John F. "Superior hypogastric block during microlaparoscopic pain mapping". Journal of the American Association of Gynecologic Laparoscopists 5, n.º 3 (agosto de 1998): 265–67. http://dx.doi.org/10.1016/s1074-3804(98)80030-3.

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26

Fernando, K. D., S. Dharmavaram, S. Kanakarajan y H. F. Galley. "Sensory mapping of lumbar facet joint pain". British Journal of Anaesthesia 122, n.º 3 (marzo de 2019): e48-e49. http://dx.doi.org/10.1016/j.bja.2018.10.040.

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27

Ashton, Fiona, Jayasree Ramas Ramaskandhan, Adam Farrier y Malik Siddique. "Topographic Pain Mapping versus Radiological Inter-observer Variation in Ankle Arthritis". Foot & Ankle Orthopaedics 2, n.º 3 (1 de septiembre de 2017): 2473011417S0001. http://dx.doi.org/10.1177/2473011417s000100.

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Category: Ankle, Ankle Arthritis Introduction/Purpose: Topographic pain mapping has gained popularity during 20th century, providing opportunities for patients to demonstrate spatial distribution of pain. Despite this, evidence of clinical application in orthopaedics remains largely limited to spinal pathologies. We investigate how clinician interpretation of routine radiological studies compares to patient pain mapping in ankle arthritis. Methods: Between 2014 and 2016 we identified 21 patients ultimately diagnosed with ankle arthritis, who underwent comprehensive gait analysis (including topographic pain mapping) on referral to our institution. Patients were requested to map up to three pain areas, assigning a visual analogue score (VAS) of 0-10, to signify severity of pain in each area. A consultant orthopaedic foot and ankle surgeon, and orthopaedic trainees undertook blinded evaluation of relevant radiological studies, estimating patients’ mapping and VAS scores on the basis of radiological pathology. For the purpose of analysis findings were applied to five distinct regions around the ankle: three anterior (antero-medial; central; and antero-lateral), lateral and medial. Results were correlated between the different assessors, as well as to the patients’ pain mapping, using Spearman’s Rho & Kendall Tau correlation statistics, significance taken as p=<0.05. Results: There is a strong radiological inter-observer correlation for anterior ankle pain in ankle arthritis [Antero-lateral 0.751(p=0.012); Central 0.912(p=<0.001)]. These findings also correlate well with patient pain mapping [Central consultant-patient 0.920(p=<0.001); trainee-patient 0.982(p=<0.001)]. Assessment of medial (tibialis posterior) and lateral (subtalar/peroneal) pathology demonstrates poorer inter-observer correlations (p>0.05). Correlation to patient pain mapping was even poorer, with radiological assessment consistently over- estimating symptom severity (p=>0.05). Conclusion: There is a statistically strong correlation between topographic pain mapping and radiological evaluation of ankle arthritis. We strongly recommend that additional pathology around the ankle is excluded by use of pre-operative MRI imaging prior to surgery for ankle arthritis. Pain from ankle arthritis appears to mask additional soft tissue pathology surrounding the ankle noted on MRI scan.

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28

Galve Villa, Maria, Thorvaldur S Palsson, Albert Cid Royo, Carsten R Bjarkam y Shellie A. Boudreau. "Digital Pain Mapping and Tracking in Patients With Chronic Pain: Longitudinal Study". Journal of Medical Internet Research 22, n.º 10 (26 de octubre de 2020): e21475. http://dx.doi.org/10.2196/21475.

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Background Digital pain mapping allows for remote and ecological momentary assessment in patients over multiple time points spanning days to months. Frequent ecological assessments may reveal tendencies and fluctuations more clearly and provide insights into the trajectory of a patient’s pain. Objective The primary aim of this study is to remotely map and track the intensity and distribution of pain and discomfort (eg, burning, aching, and tingling) in patients with nonmalignant spinal referred pain over 12 weeks using a web-based app for digital pain mapping. The secondary aim is to explore the barriers of use by determining the differences in clinical and user characteristics between patients with good (regular users) and poor (nonregular users) reporting compliance. Methods Patients (N=91; n=53 women) with spinal referred pain were recruited using web-based and traditional in-house strategies. Patients were asked to submit weekly digital pain reports for 12 weeks. Each pain report consisted of digital pain drawings on a pseudo–three-dimensional body chart and pain intensity ratings. The pain drawings captured the distribution of pain and discomfort (pain quality descriptors) expressed as the total extent and location. Differences in weekly pain reports were explored using the total extent (pixels), current and usual pain intensity ratings, frequency of quality descriptor selection, and Jaccard similarity index. Validated e-questionnaires were completed at baseline to determine the patients’ characteristics (adapted Danish National Spine Register), disability (Oswestry Disability Index and Neck Disability Index), and pain catastrophizing (Pain Catastrophizing Scale) profiles. Barriers of use were assessed at 6 weeks using a health care–related usability and acceptance e-questionnaire and a self-developed technology-specific e-questionnaire to assess the accessibility and ease of access of the pain mapping app. Associations between total extent, pain intensity, disability, and catastrophizing were explored to further understand pain. Differences between regular and nonregular users were assessed to understand the pain mapping app reporting compliance. Results Fluctuations were identified in pain reports for total extent and pain intensity ratings (P<.001). However, quality descriptor selection (P=.99) and pain drawing (P=.49), compared using the Jaccard index, were similar over time. Interestingly, current pain intensity was greater than usual pain intensity (P<.001), suggesting that the timing of pain reporting coincided with a more intense pain experience than usual. Usability and acceptance were similar between regular and nonregular users. Regular users were younger (P<.001) and reported a larger total extent of pain than nonregular users (P<.001). Conclusions This is the first study to examine digital reports of pain intensity and distribution in patients with nonmalignant spinal referred pain remotely for a sustained period and barriers of use and compliance using a digital pain mapping app. Differences in age, pain distribution, and current pain intensity may influence reporting behavior and compliance.

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29

Marconi, D., E. Zupi, E. Solima, K. Santi, G. Lanzi y C. Romanini. "Minilaparoscopic pain mapping in women with endometriosis with and without pelvic pain". Journal of the American Association of Gynecologic Laparoscopists 6, n.º 3 (agosto de 1999): S34. http://dx.doi.org/10.1016/s1074-3804(99)80234-5.

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30

Zhang, Z. y H. Xu. "O1052 Patient-assisted laparoscopic pain mapping in women with chronic pelvic pain". International Journal of Gynecology & Obstetrics 107 (octubre de 2009): S392. http://dx.doi.org/10.1016/s0020-7292(09)61425-9.

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31

Rio, Ebonie, Michael Girdwood, Jake Thomas, Christopher Garofalo, Lauren V. Fortington y Sean Docking. "Pain mapping of the anterior knee: injured athletes know best". Scandinavian Journal of Pain 18, n.º 3 (26 de julio de 2018): 409–16. http://dx.doi.org/10.1515/sjpain-2018-0046.

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Abstract Background and aims Research investigating differences in pain location and distribution across conditions is lacking. Mapping a patient’s pain may be a useful way of understanding differences in presentations, however the use of pain mapping during a pain provocation task has not been investigated. The aim of this study was to assess the reliability of patient and clinician rated pain maps during a pain provocation task for the anterior knee. Methods Participants were recruited from a larger study of professional Australian rules football players (n=17). Players were invited to participate if they reported a current or past history of patellar tendon pain. No clinical diagnosis was performed for this reliability study. Participants were asked to point on their own knee where they usually experienced pain, which was recorded by a clinician on a piloted photograph of the knee using an iPad. Participants then completed a single leg decline squat (SLDS), after which participants indicated where they experienced pain during the task with their finger, which was recorded by a clinician. Participants then recorded their own self-rated pain map. This process was repeated 10 min later. Pain maps were subjectively classified into categories of pain location and spread by two raters. Pain area was quantified by the number of pixels shaded. Intra- and inter-rater reliability (between participants and clinicians) were analysed for pain area, similarity of location as well as subjective classification. Results Test-retest reliability was good for participants (intraclass correlation coefficients [ICC]=0.81) but only fair for clinicians (ICC=0.47) for pain area. There was poor agreement between participants and clinicians for pain area (ICC=0.16) and similarity of location (Jaccard index=0.19). Clinicians had good inter- and intra-rater reliability of classification of pain spread (k=0.75 and 0.67). Conclusions Participant completed pain maps were more reliable than clinician pain maps. Clinicians were reliable at classifying pain based on location and type of spread. Implications Clinicians should ask patients to complete their own pain maps following a pain provocation test, to elicit the most reliable and consistent understanding of their pain perception.

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32

Dunkerley, Sarah, Andrew King, Timothy J. Batten, Jonathan P. Evans, Jeremy Metz, Sian Gallacher, Kathryn E. Davies, Christopher Smith y Jeffrey Kitson. "Pain Mapping and Neuropathic Features of Common Shoulder Pathologies". Hong Kong Journal of Orthopaedic Research 3, n.º 2 (30 de agosto de 2020): 41–45. http://dx.doi.org/10.37515/ortho.8231.3205.

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Introduction: Pain maps can help quantify the distribution of pain but are not commonly used in shoulder pathology. This prospective study aims to quantify severity, type and distribution of pain associated with common shoulder pathologies using patient derived pain maps. Material and Methods: 219 patients with 5 common shoulder pathologies were prospectively recruited with diagnosis confirmed definitively at time of procedure. Patients completed maps for nociceptive pain and abnormal sensation. Visual Analogue Score and a validated neuropathic pain questionnaire (painDetect) were completed. Maps were generated with images stacked and overlaid using an FFT based image algorithm to generate pathology specific heat maps. Results: Neuropathic pain was likely in 20% of all patients based on painDetectscores. Abnormal sensation was present overall in 49.3%. 16.1% experienced symptoms below the elbow and 11.6% in the hand. Frozen shoulder appears to have the highest frequency of distal limb symptoms. Conclusion: This study provides a clear guide to the distribution and nature of pain arising from procedure confirmed common shoulder conditions. We have demonstrated that neuropathic pain is prevalent in common shoulder pathologies and may spread as far as the hand. Therefore, pain in this distribution should not be dismissed as cervical as this will lead to a delay in the treatment of the shoulder pathology.

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33

Rosser, James C., Matthew Goodwin, Nick H. Gabriel y Lloyd Saberski. "The use of minilaparoscopy for conscious pain mapping". Techniques in Regional Anesthesia and Pain Management 5, n.º 4 (octubre de 2001): 152–56. http://dx.doi.org/10.1053/trap.2001.26220.

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34

Tarr, Jen y Helen Thomas. "Mapping embodiment: methodologies for representing pain and injury". Qualitative Research 11, n.º 2 (abril de 2011): 141–57. http://dx.doi.org/10.1177/1468794110394067.

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35

Freitas, Rodrigo Pegado de Abreu, Maria Helena Constantino Spyrides, José Guilherme da Silva Santa Rosa, Ranulfo Fiel Pereira Pessoa de Carvalho y Maria Bernardete Cordeiro de Sousa. "Mapping the body distribution of pain perception in fibromyalgia". Revista Neurociências 22, n.º 2 (30 de junio de 2014): 227–33. http://dx.doi.org/10.34024/rnc.2014.v22.8094.

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Background. Fibromyalgia is a syndrome characterized for persistent and debilitating disorder marked by chronic widespread pain. Objective. We aim to create a virtual body representation of peripheral pain to pressure in fibromyalgia patients. Method. Fifty adult subjects, aged 32-71 years, who fulfill the American College of Rheumatology (ACR) criteria for fibromyalgia and forty-two healthy volunteers, were recruited. Pain sensitivity was performed on the 18 points identified by ACR. Algometry was carried out to record threshold and tolerance to pain quantified in kg/cm2. Functionality was evaluated by Fibromyalgia Impact Questionnaire (FIQ). Differences in percent were used to enlarge the correspondent body part in fibromyalgia group using a 3D MAX® Software. Results. Significant difference between FIQ (p<0.0001), pain threshold (fibromyalgia 1.8±0.4; control 4.7±1.2) and tolerance (fibromyalgia 2.52±0.5; control 5.91±1.5) was found between the groups (p<0.0001). The body pain representation in fibromyalgia group is different than control, showing that pain perception increases is mainly in cervical, thoracic, arms, gluteus and over the knees. Conclusion. It is possible to create a virtual body pain image of fibromyalgia using algometry. This may contribute to build a specific body representation of this syndrome and to contribute to better information for clinical management and diagnosis.

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36

Crowder, Michael C. "Mapping Anesthesia Genes". Anesthesiology 88, n.º 2 (1 de febrero de 1998): 293–96. http://dx.doi.org/10.1097/00000542-199802000-00004.

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37

Zhang, Z. Y. "297: Patient-Assisted Laparoscopy Pain Mapping on Chronic Pelvic Pain by Mini-laparoscopy". Journal of Minimally Invasive Gynecology 14, n.º 6 (noviembre de 2007): S108. http://dx.doi.org/10.1016/j.jmig.2007.08.173.

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38

JANTOS, MAREK. "Pain mapping: A mechanisms-oriented protocol for the assessment of chronic pelvic pain and urogenital pain syndromes". Pelviperineology 39, n.º 1 (20 de agosto de 2021): 3–12. http://dx.doi.org/10.34057/ppj.2020.39.01.002.

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39

Shelton, L., G. Pendse, N. Maleki, E. A. Moulton, A. Lebel, L. Becerra y D. Borsook. "Mapping pain activation and connectivity of the human habenula". Journal of Neurophysiology 107, n.º 10 (15 de mayo de 2012): 2633–48. http://dx.doi.org/10.1152/jn.00012.2012.

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The habenula, located in the posterior thalamus, is implicated in a wide array of functions. Animal anatomical studies have indicated that the structure receives inputs from a number of brain regions (e.g., frontal areas, hypothalamic, basal ganglia) and sends efferent connections predominantly to the brain stem (e.g., periaqueductal gray, raphe, interpeduncular nucleus). The role of the habenula in pain and its anatomical connectivity are well-documented in animals but not in humans. In this study, for the first time, we show how high-field magnetic resonance imaging can be used to detect habenula activation to noxious heat. Functional maps revealed significant, localized, and bilateral habenula responses. During pain processing, functional connectivity analysis demonstrated significant functional correlations between the habenula and the periaqueductal gray and putamen. Probabilistic tractography was used to assess connectivity of afferent (e.g., putamen) and efferent (e.g., periaqueductal gray) pathways previously reported in animals. We believe that this study is the first report of habenula activation by experimental pain in humans. Since the habenula connects forebrain structures with brain stem structures, we suggest that the findings have important implications for understanding sensory and emotional processing in the brain during both acute and chronic pain.

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40

Chrastina, Jan y Hana Svízelová. "Mirror therapy in post amputation patients with phantom limb pain: a mapping study". Kontakt 21, n.º 1 (27 de marzo de 2019): 22–31. http://dx.doi.org/10.32725/kont.2019.012.

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41

Morrie, Ryan David, James Bayrer, Stuart Brierley, Holly Ingraham y David Julius. "SPARC ‐ Mapping Gut‐Spinal Cord Connections in Visceral Pain". FASEB Journal 34, S1 (abril de 2020): 1. http://dx.doi.org/10.1096/fasebj.2020.34.s1.06185.

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42

Zupi, E., M. Sbracia, D. Marconi, F. Zullo, K. Santi, E. Solima y C. Romanin. "Pain mapping during minilaparoscopy in infertile patients without pathology". Journal of the American Association of Gynecologic Laparoscopists 6, n.º 1 (febrero de 1999): 51–54. http://dx.doi.org/10.1016/s1074-3804(99)80040-1.

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43

Adam, N. I., E. G. Walshaw y L. M. Carter. "Scope for patient-led diagrammatic mapping of facial pain". British Journal of Oral and Maxillofacial Surgery 57, n.º 3 (abril de 2019): 292–93. http://dx.doi.org/10.1016/j.bjoms.2019.02.005.

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44

Chen, Andrew C. N. "EEG/MEG brain mapping of human pain: recent advances". International Congress Series 1232 (abril de 2002): 5–16. http://dx.doi.org/10.1016/s0531-5131(01)00672-0.

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45

Chen, Andrew C. N. "194 ERP and MEG brain mapping of human pain". International Journal of Psychophysiology 30, n.º 1-2 (septiembre de 1998): 76–77. http://dx.doi.org/10.1016/s0167-8760(98)90194-5.

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46

Broekhuizen, Francien y Adrienne Evans. "Pain, pleasure and bridal beauty: mapping postfeminist bridal perfection". Journal of Gender Studies 25, n.º 3 (23 de septiembre de 2014): 335–48. http://dx.doi.org/10.1080/09589236.2014.959478.

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47

Jamison, Robert N., Tabitha A. Washington, Padma Gulur, Gilbert J. Fanciullo, John R. Arscott, Gregory J. McHugo y John C. Baird. "Reliability of a Preliminary 3-D Pain Mapping Program". Pain Medicine 12, n.º 3 (marzo de 2011): 344–51. http://dx.doi.org/10.1111/j.1526-4637.2010.01049.x.

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48

McEntyre, M. "A Short Long Story: Mapping the Course of Pain". Genre 44, n.º 3 (1 de enero de 2011): 277–91. http://dx.doi.org/10.1215/00166928-1407603.

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Cano Romero, Maria Dolores, Maria Teresa Muñoz Sastre, Bruno Quintard, Paul C. Sorum y Etienne Mullet. "The ethics of postoperative pain management: Mapping nurses' views". International Journal of Nursing Practice 23, n.º 2 (1 de febrero de 2017): e12514. http://dx.doi.org/10.1111/ijn.12514.

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FERNÁNDEZ-CARNERO, JOSUÉ, ASBJØRN T. BINDERUP, HONG-YOU GE, CÉSAR FERNÁNDEZ-DE-LAS-PEÑAS, LARS ARENDT-NIELSEN y PASCAL MADELEINE. "Pressure Pain Sensitivity Mapping in Experimentally Induced Lateral Epicondylalgia". Medicine & Science in Sports & Exercise 42, n.º 5 (mayo de 2010): 922–27. http://dx.doi.org/10.1249/mss.0b013e3181c29eab.

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