Research Article
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Evaluation of the Predictive Ability of Laboratory Parameters in Fibromyalgia Syndrome Compared to Individuals with Local Musculoskeletal Pain

Year 2025, Volume: 6 Issue: 1, 70 - 74, 15.03.2025

Abstract

Introduction: Fibromyalgia syndrome (FMS) is a chronic pain syndrome characterized by widespread pain and various somatic symptoms. This study aims to investigate the differences between FMS patients and individuals with localized musculoskeletal disorders by evaluating inflammatory and metabolic markers that may play a role in FMS pathogenesis.

Methods: This retrospective study included 43 patients diagnosed with FMS and 43 patients with localized musculoskeletal pain, aged between 30 and 65 years. White blood cell count (WBC), red cell distribution width (RDW), mean corpuscular haemoglobin concentration (MCHC), mean platelet volume (MPV), platelet distribution width (PDW), albumin, creatinine, erythrocyte sedimentation rate (ESR), and C-reactive protein (CRP) values of the participants were recorded. Additionally, CRP/albumin ratio (CAR), neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), monocyte/lymphocyte ratio (MLR), and systemic inflammatory indices (SII) of the participants were calculated.

Results: The mean ages were similar between the two groups in our study (Group 1 mean age: 46.76±8.94 years and Group 2 mean age: 46.3±8.67 years). MPV levels were found to be statistically significantly higher in the FMS group compared to the group with localized pain (p=0.02). No statistically significant difference was detected between the two groups in terms of the other evaluated laboratory parameters.

Conclusions: According to our research, we found a statistically significant difference only in MPV levels between FMS patients and controls. This suggests that it may help facilitate the diagnosis of FMS patients.

Ethical Statement

This study was approved by Eskisehir Osmangazi University Ethics Committee (Date:31.10.2023 and number: 50) and the study adhered to the principles outlined in the Declaration of Helsinki.

References

  • Clauw DJ. Fibromyalgia: a clinical review. Jama 2014;311(15):1547-55.
  • Galvez-Sánchez CM, Reyes del Paso GA. Diagnostic criteria for fibromyalgia: critical review and future perspectives. J Clin Med 2020;9(4):1219.
  • Siracusa R, Paola RD, Cuzzocrea S, Impellizzeri D. Fibromyalgia: Pathogenesis, Mechanisms, Diagnosis and Treatment Options Update. Int J Mol Sci. 2021;22(8):3891.
  • Metyas SK, Solyman JS, Arkfeld DG. Inflammatory fibromyalgia: is it real? Curr Rheumatol Rev 2015;11(1):15-7.
  • Korkmaz MD, Ceylan CM. Evaluation of Inflammatory Markers in Fibromyalgia Syndrome. Medical Journal of Istanbul Kanuni Sultan Suleyman 2022;14(3):251-4.
  • Xiao Y, Haynes WL, Michalek JE, Russell IJ. Elevated serum high-sensitivity C-reactive protein levels in fibromyalgia syndrome patients correlate with body mass index, interleukin-6, interleukin-8, erythrocyte sedimentation rate. Rheumatol Int 2013;33(5):1259-64.
  • Yang WM, Zhang WH, Ying HQ, Xu YM, Zhang J, Min QH, et al. Two new inflammatory markers associated with disease activity score-28 in patients with rheumatoid arthritis: albumin to fibrinogen ratio and C-reactive protein to albumin ratio. Int Immunopharmacol 2018;62:293-8.
  • Alghamdi M. Red Blood Cell Distribution Width: A Potential Inexpensive Marker for Disease Activity in Patients with Rheumatic Diseases; Scoping Review. Open Access Rheumatol 2023;15:173-80.
  • Peirovy A, Mahdavi AM, Khabbazi A, Hajialilo M, Sakhinia E, Rashtchizadeh N. Clinical usefulness of hematologic indices as predictive parameters for systemic lupus erythematosus. Lab Med 2020;51(5):519-28.
  • Milovanovic M, Nilsson E, Järemo P. Relationships between platelets and inflammatory markers in rheumatoid arthritis. Clin Chim Acta 2004;343(1-2):237-40.
  • Semba RD, Patel KV, Ferrucci L, Sun K, Roy CN, Guralnik JM, et al. Serum antioxidants and inflammation predict red cell distribution width in older women: the Women's Health and Aging Study I. Clin Nutr 2010;29(5):600-4.
  • Gerrits AJ, Frelinger III AL, Michelson AD. Whole blood analysis of leukocyte‐platelet aggregates. Curr Protoc Cytom 2016;78(1):6-15.
  • Liu B, Wang J, Li YY, Li KP, Zhang Q. The association between systemic immune-inflammation index and rheumatoid arthritis: evidence from NHANES 1999–2018. Arthritis Res Ther 2023;25(1):1-10.
  • Fu H, Qin B, Hu Z, Ma N, Yang M, Wei T, et al. Neutrophil-and platelet-to-lymphocyte ratios are correlated with disease activity in rheumatoid arthritis. Clin Lab 2015;61(3-4):269-73.
  • Celikbilek M, Dogan S, Ozbakır O, Zararsız G, Kücük H, Gürsoy S, et al. Neutrophil–lymphocyte ratio as a predictor of disease severity in ulcerative colitis. J Clin Lab Anal 2013;27(1):72-6.
  • Aliustaoglu M, Bilici A, Seker M, Dane F, Gocun M, Konya V, et al. The association of pre-treatment peripheral blood markers with survival in patients with pancreatic cancer. Hepato-gastroenterology 2010;57(99-100):640-5.
  • Kishi Y, Kopetz S, Chun YS, Palavecino M, Abdalla EK, Vauthey JN. Blood neutrophil-to-lymphocyte ratio predicts survival in patients with colorectal liver metastases treated with systemic chemotherapy. Ann Surg Oncol 2009;16:614-22.
  • Azab B, Chainani V, Shah N, McGinn JT. Neutrophil–lymphocyte ratio as a predictor of major adverse cardiac events among diabetic population: a 4-year follow-up study. Angiology 2013;64(6):456-65.
  • Mccully KK, Natelson BH. Impaired oxygen delivery to muscle in chronic fatigue syndrome. Clin Sci 1999;97(5):603-8.
  • Bruce MA, Beech BM, Sims M, Brown TN, Wyatt SB, Taylor HA, et al. Social environmental stressors, psychological factors, and kidney disease. J Investig Med 2009;57(4):583-9.
  • Jung YH, Lee WJ, Lee D, Lee JY, Moon JY, Kim YC, et al. Commonalities and differences in abnormal peripheral metabolites between patients with fibromyalgia and complex regional pain syndrome. Int J Neurosci 2020;130(7):653-61.
  • Häuser W, Fitzcharles MA. Facts and myths pertaining to fibromyalgia. Dialogues Clin Neurosci 2018;20(1):53-62.
  • Woolf CJ. Central sensitization: implications for the diagnosis and treatment of pain. Pain 2011;152(3):2-15.
  • Brukner P, Khan K. Chapter 40: Pain in the Achilles region. In:Brukner & Khan’s Clinical Sports Medicine. 5th edition. Sydney: McGraw-Hill, 2017: 865-92.
  • Wolfe F, Clauw DJ, Fitzcharles MA, Goldenberg DL, Häuser W, Katz RL, et al. 2016 Revisions to the 2010/2011 fibromyalgia diagnostic criteria. Semin Arthritis Rheum 2016;46(3):319-29.
  • Rodriguez-Pintó I, Agmon-Levin N, Howard A, Shoenfeld Y Fibromyalgia and cytokines. Immunol Let 2014;61(2):200-3.
  • Hira S, Karatas HG, Haskul I, Gunduz R, Ustun B, Akyuz M. Evaluatıon of relationship between pain score and serum vitamın B12 and folate levels in fibromyalgia patients. Balıkesir Medical Journal, 2(1), 51-9.
  • Aktürk S, Büyükavcı R. Evaluation of blood neutrophil-lymphocyte ratio and platelet distribution width as inflammatory markers in patients with fibromyalgia. Clin Rheumatol 2017;36:1885-9.
  • Ataoglu S, Ankarali H, Samanci R, Ozsahin M, Admis O. The relationship between serum leptin level and disease activity and inflammatory markers in fibromyalgia patients. North Clin Istanb 2018;5(2):102-8.
  • Haliloğlu S, Carlioglu A, Sahiner E, Karaaslan Y, Kosar. A Mean platelet volume in patients with fibromyalgia. Z Rheumatol 2014;73(8):742-5.
  • Pamukcu M, Aydogan RB, Izci TD. Disease activation and laboratory parameters in Fibromyalgia Syndrome: Relationship with C-reactive protein/albumin ratio, neutrophil/lymphocyte ratio, mean platelet volume. Medicine Science. 2021;10 (4):1464-8.
  • Karatas G, Gunduz R. The Significance of inflammation markers in complete blood count in patients with fibromyalgia. MSD 2020;7(1):364-7.
  • Korniluk A, Koper-Lenkiewicz OM, Kamińska J, Kemona H, Dymicka-Piekarska V. Mean platelet volume (MPV): new perspectives for an old marker in the course and prognosis of inflammatory conditions. Mediators Inflamm 2019;17:9213074.
  • Bath PMW, Butterworth RJ. Platelet size: measurement, physiology and vascular disease. Blood Coagul Fibrinolysis 1996;7(2):157-61.
  • Yazici S, Yazici M, Erer B, Erer B, Calik Y, Ozhan H, Ataoglu S. The platelet indices in patients with rheumatoid arthritis: mean platelet volume reflects disease activity. Platelets 2010;21(2):122-5.
  • Kaser A, Brandacher G, Steurer W, Kaser S, Offner FA, Zoller H, et al. Interleukin-6 stimulates thrombopoiesis through thrombopoietin: role in inflammatory thrombocytosis. Blood 2001;98(9):2720-5.
  • Ertenli I, Kiraz S, Öztürk MA, Haznedaroğlu I, Çelik İ, Çalgüneri M. Pathologic thrombopoiesis of rheumatoid arthritis. Rheumatol Int 2003;23(2):49-60.
  • Shameer K, Denny JC, Ding K, Jouni H, Crosslin DR, de Andrade M, Chute CG, Peissig P, Pacheco JA, Li R, Bastarache L, Kho AN, Ritchie MD, Masys DR, Chisholm RL, Larson EB, McCarty CA, Roden DM, Jarvik GP, Kullo IJ. A genome- and phenome-wide association study to identify genetic variants influencing platelet count and volume and their pleiotropic effects. Hum Genet 2014;133(1):95-109.
  • Yazici M, Kaya A, Kaya Y, Albayrak S, Cinemre H, Ozhan H. Lifestyle modification decreases the mean platelet volume in prehypertensive patients. Platelets. 2009 Feb;20(1):58-63.
  • Al-Nimer MSM, Mohammad TAM. Correlation of hematological indices and ratios derived from them with FIQR scores in fibromyalgia. Pak J Med Sci 2018;34(5):1219-24.
  • Uysal A. Investigating the presence of inflammation in lateral epicondylitis with platelet/lymphocyte ratio, neutrophil/lymphocyte ratio, and systemic immune-inflammation index: investigating the presence of inflammation in lateral epicondylitis. Chron Precis Med Res 2023;4(1):29-33.

Lokal Kas-İskelet Ağrılı Bireylerle Karşılaştırıldığında Fibromiyalji Sendromunda Laboratuar Parametrelerinin Öngörü Yeteneğinin Değerlendirilmesi

Year 2025, Volume: 6 Issue: 1, 70 - 74, 15.03.2025

Abstract

Giriş: Fibromiyalji sendromu (FMS) yaygın ağrı ve çeşitli somatik semptomlarla karakterize bir kronik ağrı sendromudur. Bu çalışmanın amacı, FMS patogenezinde rol oynayabilecek inflamatuar ve metabolik belirteçleri değerlendirerek FMS hastaları ile lokalize kas-iskelet sistemi rahatsızlığı olan bireyler arasındaki farklılıkları araştırmaktır.

Yöntemler: Bu retrospektif çalışmaya 30-65 yaş arası 43 FMS tanılı hasta ve 43 lokalize kas-iskelet bozukluğu olan hasta dahil edildi. Katılımcıların beyaz kan hücresi sayımı (WBC), kırmızı hücre dağılım genişliği (RDW), ortalama eritrosit hemoglobin konsantrasyonu (MCHC), ortalama trombosit hacmi (MPV), trombosit dağılım genişliği (PDW), albümin, kreatinin, eritrosit sedimantasyon hızı (ESR) ve C-reaktif protein (CRP) değerleri not edildi. Ayrıca katılımcıların CRP/albümin oranı (CAR), nötrofil/lenfosit oranı (NLR), trombosit/lenfosit oranı (PLR), monosit/lenfosit oranı (MLR) ve sistemik inflamatuar indeksleri (SII) hesaplandı.

Bulgular: Çalışmamızda yaş ortalamaları her iki grupta da benzerdi (1. grup yaş: 46,76±8,94 yıl ve 2. grup yaş: 46,3±8,67 yıl). FMS grubunda MPV düzeyleri lokalize ağrısı olan gruba göre istatistiksel olarak anlamlı farkla daha yüksek bulundu (p=0,02). Değerlendirdiğimiz diğer laboratuvar parametreleri açısından iki grup arasında istatistiksel anlamlı fark tespit edilmedi.

Sonuç: Araştırmamıza göre FMS hastaları ile kontroller arasında sadece MPV düzeylerinde istatistiksel olarak anlamlı fark bulduk. FMS hastalarının tanısını kolaylaştırmada faydalı olabileceğini düşündürmektedir.

References

  • Clauw DJ. Fibromyalgia: a clinical review. Jama 2014;311(15):1547-55.
  • Galvez-Sánchez CM, Reyes del Paso GA. Diagnostic criteria for fibromyalgia: critical review and future perspectives. J Clin Med 2020;9(4):1219.
  • Siracusa R, Paola RD, Cuzzocrea S, Impellizzeri D. Fibromyalgia: Pathogenesis, Mechanisms, Diagnosis and Treatment Options Update. Int J Mol Sci. 2021;22(8):3891.
  • Metyas SK, Solyman JS, Arkfeld DG. Inflammatory fibromyalgia: is it real? Curr Rheumatol Rev 2015;11(1):15-7.
  • Korkmaz MD, Ceylan CM. Evaluation of Inflammatory Markers in Fibromyalgia Syndrome. Medical Journal of Istanbul Kanuni Sultan Suleyman 2022;14(3):251-4.
  • Xiao Y, Haynes WL, Michalek JE, Russell IJ. Elevated serum high-sensitivity C-reactive protein levels in fibromyalgia syndrome patients correlate with body mass index, interleukin-6, interleukin-8, erythrocyte sedimentation rate. Rheumatol Int 2013;33(5):1259-64.
  • Yang WM, Zhang WH, Ying HQ, Xu YM, Zhang J, Min QH, et al. Two new inflammatory markers associated with disease activity score-28 in patients with rheumatoid arthritis: albumin to fibrinogen ratio and C-reactive protein to albumin ratio. Int Immunopharmacol 2018;62:293-8.
  • Alghamdi M. Red Blood Cell Distribution Width: A Potential Inexpensive Marker for Disease Activity in Patients with Rheumatic Diseases; Scoping Review. Open Access Rheumatol 2023;15:173-80.
  • Peirovy A, Mahdavi AM, Khabbazi A, Hajialilo M, Sakhinia E, Rashtchizadeh N. Clinical usefulness of hematologic indices as predictive parameters for systemic lupus erythematosus. Lab Med 2020;51(5):519-28.
  • Milovanovic M, Nilsson E, Järemo P. Relationships between platelets and inflammatory markers in rheumatoid arthritis. Clin Chim Acta 2004;343(1-2):237-40.
  • Semba RD, Patel KV, Ferrucci L, Sun K, Roy CN, Guralnik JM, et al. Serum antioxidants and inflammation predict red cell distribution width in older women: the Women's Health and Aging Study I. Clin Nutr 2010;29(5):600-4.
  • Gerrits AJ, Frelinger III AL, Michelson AD. Whole blood analysis of leukocyte‐platelet aggregates. Curr Protoc Cytom 2016;78(1):6-15.
  • Liu B, Wang J, Li YY, Li KP, Zhang Q. The association between systemic immune-inflammation index and rheumatoid arthritis: evidence from NHANES 1999–2018. Arthritis Res Ther 2023;25(1):1-10.
  • Fu H, Qin B, Hu Z, Ma N, Yang M, Wei T, et al. Neutrophil-and platelet-to-lymphocyte ratios are correlated with disease activity in rheumatoid arthritis. Clin Lab 2015;61(3-4):269-73.
  • Celikbilek M, Dogan S, Ozbakır O, Zararsız G, Kücük H, Gürsoy S, et al. Neutrophil–lymphocyte ratio as a predictor of disease severity in ulcerative colitis. J Clin Lab Anal 2013;27(1):72-6.
  • Aliustaoglu M, Bilici A, Seker M, Dane F, Gocun M, Konya V, et al. The association of pre-treatment peripheral blood markers with survival in patients with pancreatic cancer. Hepato-gastroenterology 2010;57(99-100):640-5.
  • Kishi Y, Kopetz S, Chun YS, Palavecino M, Abdalla EK, Vauthey JN. Blood neutrophil-to-lymphocyte ratio predicts survival in patients with colorectal liver metastases treated with systemic chemotherapy. Ann Surg Oncol 2009;16:614-22.
  • Azab B, Chainani V, Shah N, McGinn JT. Neutrophil–lymphocyte ratio as a predictor of major adverse cardiac events among diabetic population: a 4-year follow-up study. Angiology 2013;64(6):456-65.
  • Mccully KK, Natelson BH. Impaired oxygen delivery to muscle in chronic fatigue syndrome. Clin Sci 1999;97(5):603-8.
  • Bruce MA, Beech BM, Sims M, Brown TN, Wyatt SB, Taylor HA, et al. Social environmental stressors, psychological factors, and kidney disease. J Investig Med 2009;57(4):583-9.
  • Jung YH, Lee WJ, Lee D, Lee JY, Moon JY, Kim YC, et al. Commonalities and differences in abnormal peripheral metabolites between patients with fibromyalgia and complex regional pain syndrome. Int J Neurosci 2020;130(7):653-61.
  • Häuser W, Fitzcharles MA. Facts and myths pertaining to fibromyalgia. Dialogues Clin Neurosci 2018;20(1):53-62.
  • Woolf CJ. Central sensitization: implications for the diagnosis and treatment of pain. Pain 2011;152(3):2-15.
  • Brukner P, Khan K. Chapter 40: Pain in the Achilles region. In:Brukner & Khan’s Clinical Sports Medicine. 5th edition. Sydney: McGraw-Hill, 2017: 865-92.
  • Wolfe F, Clauw DJ, Fitzcharles MA, Goldenberg DL, Häuser W, Katz RL, et al. 2016 Revisions to the 2010/2011 fibromyalgia diagnostic criteria. Semin Arthritis Rheum 2016;46(3):319-29.
  • Rodriguez-Pintó I, Agmon-Levin N, Howard A, Shoenfeld Y Fibromyalgia and cytokines. Immunol Let 2014;61(2):200-3.
  • Hira S, Karatas HG, Haskul I, Gunduz R, Ustun B, Akyuz M. Evaluatıon of relationship between pain score and serum vitamın B12 and folate levels in fibromyalgia patients. Balıkesir Medical Journal, 2(1), 51-9.
  • Aktürk S, Büyükavcı R. Evaluation of blood neutrophil-lymphocyte ratio and platelet distribution width as inflammatory markers in patients with fibromyalgia. Clin Rheumatol 2017;36:1885-9.
  • Ataoglu S, Ankarali H, Samanci R, Ozsahin M, Admis O. The relationship between serum leptin level and disease activity and inflammatory markers in fibromyalgia patients. North Clin Istanb 2018;5(2):102-8.
  • Haliloğlu S, Carlioglu A, Sahiner E, Karaaslan Y, Kosar. A Mean platelet volume in patients with fibromyalgia. Z Rheumatol 2014;73(8):742-5.
  • Pamukcu M, Aydogan RB, Izci TD. Disease activation and laboratory parameters in Fibromyalgia Syndrome: Relationship with C-reactive protein/albumin ratio, neutrophil/lymphocyte ratio, mean platelet volume. Medicine Science. 2021;10 (4):1464-8.
  • Karatas G, Gunduz R. The Significance of inflammation markers in complete blood count in patients with fibromyalgia. MSD 2020;7(1):364-7.
  • Korniluk A, Koper-Lenkiewicz OM, Kamińska J, Kemona H, Dymicka-Piekarska V. Mean platelet volume (MPV): new perspectives for an old marker in the course and prognosis of inflammatory conditions. Mediators Inflamm 2019;17:9213074.
  • Bath PMW, Butterworth RJ. Platelet size: measurement, physiology and vascular disease. Blood Coagul Fibrinolysis 1996;7(2):157-61.
  • Yazici S, Yazici M, Erer B, Erer B, Calik Y, Ozhan H, Ataoglu S. The platelet indices in patients with rheumatoid arthritis: mean platelet volume reflects disease activity. Platelets 2010;21(2):122-5.
  • Kaser A, Brandacher G, Steurer W, Kaser S, Offner FA, Zoller H, et al. Interleukin-6 stimulates thrombopoiesis through thrombopoietin: role in inflammatory thrombocytosis. Blood 2001;98(9):2720-5.
  • Ertenli I, Kiraz S, Öztürk MA, Haznedaroğlu I, Çelik İ, Çalgüneri M. Pathologic thrombopoiesis of rheumatoid arthritis. Rheumatol Int 2003;23(2):49-60.
  • Shameer K, Denny JC, Ding K, Jouni H, Crosslin DR, de Andrade M, Chute CG, Peissig P, Pacheco JA, Li R, Bastarache L, Kho AN, Ritchie MD, Masys DR, Chisholm RL, Larson EB, McCarty CA, Roden DM, Jarvik GP, Kullo IJ. A genome- and phenome-wide association study to identify genetic variants influencing platelet count and volume and their pleiotropic effects. Hum Genet 2014;133(1):95-109.
  • Yazici M, Kaya A, Kaya Y, Albayrak S, Cinemre H, Ozhan H. Lifestyle modification decreases the mean platelet volume in prehypertensive patients. Platelets. 2009 Feb;20(1):58-63.
  • Al-Nimer MSM, Mohammad TAM. Correlation of hematological indices and ratios derived from them with FIQR scores in fibromyalgia. Pak J Med Sci 2018;34(5):1219-24.
  • Uysal A. Investigating the presence of inflammation in lateral epicondylitis with platelet/lymphocyte ratio, neutrophil/lymphocyte ratio, and systemic immune-inflammation index: investigating the presence of inflammation in lateral epicondylitis. Chron Precis Med Res 2023;4(1):29-33.
There are 41 citations in total.

Details

Primary Language English
Subjects Pain
Journal Section Research Articles
Authors

Burcu Ayık 0000-0001-5421-0116

Gizem Sarıçimen 0000-0002-7645-7790

Publication Date March 15, 2025
Submission Date December 20, 2024
Acceptance Date March 13, 2025
Published in Issue Year 2025 Volume: 6 Issue: 1

Cite

APA Ayık, B., & Sarıçimen, G. (2025). Evaluation of the Predictive Ability of Laboratory Parameters in Fibromyalgia Syndrome Compared to Individuals with Local Musculoskeletal Pain. Eskisehir Medical Journal, 6(1), 70-74.
AMA Ayık B, Sarıçimen G. Evaluation of the Predictive Ability of Laboratory Parameters in Fibromyalgia Syndrome Compared to Individuals with Local Musculoskeletal Pain. Eskisehir Med J. March 2025;6(1):70-74.
Chicago Ayık, Burcu, and Gizem Sarıçimen. “Evaluation of the Predictive Ability of Laboratory Parameters in Fibromyalgia Syndrome Compared to Individuals With Local Musculoskeletal Pain”. Eskisehir Medical Journal 6, no. 1 (March 2025): 70-74.
EndNote Ayık B, Sarıçimen G (March 1, 2025) Evaluation of the Predictive Ability of Laboratory Parameters in Fibromyalgia Syndrome Compared to Individuals with Local Musculoskeletal Pain. Eskisehir Medical Journal 6 1 70–74.
IEEE B. Ayık and G. Sarıçimen, “Evaluation of the Predictive Ability of Laboratory Parameters in Fibromyalgia Syndrome Compared to Individuals with Local Musculoskeletal Pain”, Eskisehir Med J, vol. 6, no. 1, pp. 70–74, 2025.
ISNAD Ayık, Burcu - Sarıçimen, Gizem. “Evaluation of the Predictive Ability of Laboratory Parameters in Fibromyalgia Syndrome Compared to Individuals With Local Musculoskeletal Pain”. Eskisehir Medical Journal 6/1 (March 2025), 70-74.
JAMA Ayık B, Sarıçimen G. Evaluation of the Predictive Ability of Laboratory Parameters in Fibromyalgia Syndrome Compared to Individuals with Local Musculoskeletal Pain. Eskisehir Med J. 2025;6:70–74.
MLA Ayık, Burcu and Gizem Sarıçimen. “Evaluation of the Predictive Ability of Laboratory Parameters in Fibromyalgia Syndrome Compared to Individuals With Local Musculoskeletal Pain”. Eskisehir Medical Journal, vol. 6, no. 1, 2025, pp. 70-74.
Vancouver Ayık B, Sarıçimen G. Evaluation of the Predictive Ability of Laboratory Parameters in Fibromyalgia Syndrome Compared to Individuals with Local Musculoskeletal Pain. Eskisehir Med J. 2025;6(1):70-4.