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Article ; Online: The thiol/disulfide balance is shifted towards oxidation in psoriatic arthritis compared to controls and is associated with higher disease activity.

Kor, Ahmet / Akan, Selçuk / Oğuz, Esra Fırat / Maraş, Yüksel / Neşelioğlu, Salim / Erten, Şükran

2024

Abstract: Objective: This study was designed to compare thiol/disulfide and ischemia-modified albumin (IMA) levels between psoriatic arthritis (PsA) and healthy controls and evaluate the correlation between these molecules and the disease activity scores used in ... ...

Abstract	Objective: This study was designed to compare thiol/disulfide and ischemia-modified albumin (IMA) levels between psoriatic arthritis (PsA) and healthy controls and evaluate the correlation between these molecules and the disease activity scores used in PsA. Methods: A total of 63 PsA patients and 49 healthy volunteers were included in the study. Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), modified disease activity score 28 (DAS28), and Bath Ankylosing Spondylitis Functional Index (BASFI) scores were used as disease activity indices for PsA patients. Calculations of native thiol (-SH), disulfide (-SS), and total thiol (-SH+-SS) molecules were made by the automatic spectrophotometric method, and the albumin cobalt binding test was used to measure IMA levels. Results: In the PsA group, -SS/-SH and -SS/(-SH+-SS) levels were higher and -SH/(-SH+-SS) levels were lower than in controls. In the linear regression analysis, a significant correlation relationship was detected between DAS28-erythrocyte sedimentation rate (ESR) and -SS/(-SH+-SS) (β = 0.795, CI 95%, 0.196-1.395; P = .010), -SH/(-SH+-SS) (β = -0.475, CI 95%, 0.114-0.836; P = .010) and IMA (β = 3.932, CI 95%, 0.859-7.005; P = .013). Additionally, a significant correlation was detected between IMA and BASDAI and BASFI. Conclusion: In PsA, thiol/disulfide homeostasis has shifted in favor of disulfide as an oxidative indicator. Serum thiol/disulfide levels are correlated with PsA disease activity indices.
Language	English
Publishing date	2024-03-26
Publishing country	England
Document type	Journal Article
ZDB-ID	391758-7
ISSN	1943-7730 ; 0007-5027
ISSN (online)	1943-7730
ISSN	0007-5027
DOI	10.1093/labmed/lmae014
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Article ; Online: The diagnosis of femoroacetabular impingement can be made on pelvis radiographs using deep learning methods.

Atalar, Ebru / Üreten, Kemal / Kanatlı, Ulunay / Çiçeklidağ, Murat / Kaya, İbrahim / Vural, Abdurrahman / Maraş, Yüksel

Joint diseases and related surgery

2023 Volume 34, Issue 2, Page(s) 298–304

Abstract: Objectives: The aim of this study was to evaluate diagnostic ability of deep learning models, particularly convolutional neural network models used for image classification, for femoroacetabular impingement (FAI) using hip radiographs.: Materials and ... ...

Abstract	Objectives: The aim of this study was to evaluate diagnostic ability of deep learning models, particularly convolutional neural network models used for image classification, for femoroacetabular impingement (FAI) using hip radiographs. Materials and methods: Between January 2010 and December 2020, pelvic radiographs of a total of 516 patients (270 males, 246 females; mean age: 39.1±3.8 years; range, 20 to 78 years) with hip pain were retrospectively analyzed. Based on inclusion and exclusion criteria, a total of 888 hip radiographs (308 diagnosed with FAI and 508 considered normal) were evaluated using deep learning methods. Pre-trained VGG-16, ResNet-101, MobileNetV2, and Inceptionv3 models were used for transfer learning. Results: As assessed by performance measures such as accuracy, sensitivity, specificity, precision, F-1 score, and area under the curve (AUC), the VGG-16 model outperformed other pre-trained networks in diagnosing FAI. With the pre-trained VGG-16 model, the results showed 86.6% accuracy, 82.5% sensitivity, 89.6% specificity, 85.5% precision, 83.9% F1 score, and 0.92 AUC. Conclusion: In patients with suspected FAI, pelvic radiography is the first imaging method to be applied, and deep learning methods can help in the diagnosis of this syndrome.
MeSH term(s)	Male ; Female ; Humans ; Adult ; Femoracetabular Impingement/diagnostic imaging ; Retrospective Studies ; Deep Learning ; Radiography ; Pelvis
Language	English
Publishing date	2023-04-26
Publishing country	Turkey
Document type	Journal Article
ISSN	2687-4792
ISSN (online)	2687-4792
DOI	10.52312/jdrs.2023.996
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Article ; Online: Choroidal vascularity index in adult patients with familial meditteranean fever.

Timur, İnci Elif Erbahçeci / Atalar, Ebru / Maraş, Yüksel / Dağ Şeker, Esra / Yüzbaşıoğlu, Sema / Uğurlu, Nagihan

Photodiagnosis and photodynamic therapy

2023 Volume 42, Page(s) 103350

Abstract: Purpose: This study aimed to evaluate choroidal vascular status by the choroidal vascularity index (CVI) in adult patients with familial Mediterranean fever (FMF) in remission period.: Materials-methods: 86 patients diagnosed with FMF and 54 healthy ... ...

Abstract	Purpose: This study aimed to evaluate choroidal vascular status by the choroidal vascularity index (CVI) in adult patients with familial Mediterranean fever (FMF) in remission period. Materials-methods: 86 patients diagnosed with FMF and 54 healthy controls were recruited in this study. Retinal, ganglion cell complex and peripapillary retinal nerve fibre layer thicknesses were obtained using Spectralis domain-optical coherence (SD-OCT) tomography. Choroid images were obtained with the enhanced depth imaging mode of SD-OCT, and binarization was applied to the images using ImageJ software. CVI was described as the proportion of the luminal area to the total choroidal area. Blood-derived inflammation markers were calculated by the complete blood count. Results: The subfoveal choroidal thickness and nasal and temporal directions from fovea centralis at 500 μm, 1000 μm and 1500 μm were reduced in patients with FMF in comparison to healthy controls (p<0.001, each comparison). CVI was significantly decreased in patients with FMF compared to controls (62.28±2.2 and 64.79±4.3, p<0.001). Conclusion: We concluded that the choroidal vasculature structure may be affected prior to retinal changes in patients with FMF.
MeSH term(s)	Humans ; Adult ; Photochemotherapy/methods ; Photosensitizing Agents ; Choroid/diagnostic imaging ; Choroid/blood supply ; Retina/diagnostic imaging ; Retinal Vessels/diagnostic imaging ; Tomography, Optical Coherence/methods
Chemical Substances	Photosensitizing Agents
Language	English
Publishing date	2023-02-18
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	2149918-4
ISSN	1873-1597 ; 1572-1000
ISSN (online)	1873-1597
ISSN	1572-1000
DOI	10.1016/j.pdpdt.2023.103350
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Article ; Online: Deep Learning Methods in the Diagnosis of Sacroiliitis from Plain Pelvic Radiographs.

Üreten, Kemal / Maraş, Yüksel / Duran, Semra / Gök, Kevser

Modern rheumatology

2021

Abstract: Objectives: The aim of this study is to develop a computer-aided diagnosis method to assist physicians in evaluating sacroiliac radiographs.: Methods: Convolutional neural networks, a deep learning method, were used in this retrospective study. ... ...

Abstract	Objectives: The aim of this study is to develop a computer-aided diagnosis method to assist physicians in evaluating sacroiliac radiographs. Methods: Convolutional neural networks, a deep learning method, were used in this retrospective study. Transfer learning was implemented with pre-trained VGG-16, ResNet-101 and Inception-v3 networks. Normal pelvic radiographs (n = 290) and pelvic radiographs with sacroiliitis (n = 295) were used for the training of networks. Results: The training results were evaluated with the criteria of accuracy, sensitivity, specificity and precision calculated from the confusion matrix and AUC (Area under the ROC curve) calculated from ROC (receiver operating characteristic) curve. Pre-trained VGG-16 model revealed accuracy, sensitivity, specificity, precision and AUC figures of 89.9%, 90.9%, 88.9%, 88.9% and 0.96 with test images, respectively. These results were 84.3%, 91.9%, 78.8%, 75.6 and 0.92 with pre-trained ResNet-101, and 82.0%, 79.6%, 85.0%, 86.7% and 0.90 with pre-trained inception-v3, respectively. Conclusions: Successful results were obtained with all three models in this study where transfer learning was applied with pre-trained VGG-16, ResNet-101 and Inception-v3 networks. This method can assist clinicians in the diagnosis of sacroiliitis, provide them with a second objective interpretation, and also reduce the need for advanced imaging methods such as magnetic resonance imaging (MRI).
Language	English
Publishing date	2021-12-09
Publishing country	England
Document type	Journal Article
ZDB-ID	2078157-X
ISSN	1439-7609 ; 1439-7595
ISSN (online)	1439-7609
ISSN	1439-7595
DOI	10.1093/mr/roab124
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Article ; Online: Does Eta Protein Differentiate Rheumatoid Arthritis from Psoriatic Arthritis?

Kor, Ahmet / Orhan, Kevser / Maraş, Yüksel / Oğuz, Esra Fırat / Unan, Mehtap Kalçık / Dilek, Gamze / Erten, Şükran / Nas, Kemal

Current medicinal chemistry

2024

Abstract: Aim: The clinical symptoms and laboratory markers of Rheumatoid Arthritis (RA) and Psoriatic Arthritis (PsA) can be very similar, so making a differential diagnosis between these two diseases is often difficult. Serological parameters to be used in ... ...

Abstract	Aim: The clinical symptoms and laboratory markers of Rheumatoid Arthritis (RA) and Psoriatic Arthritis (PsA) can be very similar, so making a differential diagnosis between these two diseases is often difficult. Serological parameters to be used in differential diagnosis can guide the clinician. This study aimed to investigate the usability of 14-3-3η (eta) protein as a biomarker in the differential diagnosis of PsA and RA, and the relationships between eta protein and disease activity scores and joint erosions in PsA and RA. Methods: 54 PsA patients, 53 RA patients, and 56 healthy individuals were included in this study. The ELISA (Enzyme-Linked ImunoSorbent Assay) kit was used as a quantitative sandwich enzyme immunoassay technique to detect human eta protein levels. Receiver- operating Characteristic (ROC) curves analysis was used to determine the sensitivity and specificity of the eta protein. Results: Eta protein levels were found to be significantly higher in the RA group than in the PsA [B: -0.341, OR (95% CI): 0.711 (0.556-0.909), p: 0.007] and control [B: -0.225, OR (95% CI): 0.798 (0.641-0.995), p: 0.045] groups. Eta protein median values were significantly higher in patients with joint erosion than in those without [β= 0.151, OR (95% CI): 1.163 (1.003-1.349), p: 0.046]. Conclusion: Eta protein levels are higher in the serum of RA patients than PsA and are associated with joint erosion. Eta protein may be a potential biomarker in the differential diagnosis of RA and PsA. It may represent a possible therapeutic step in the pathophysiological pathways in the development of joint erosion.
Language	English
Publishing date	2024-04-27
Publishing country	United Arab Emirates
Document type	Journal Article
ZDB-ID	1319315-6
ISSN	1875-533X ; 0929-8673
ISSN (online)	1875-533X
ISSN	0929-8673
DOI	10.2174/0109298673295359240422115759
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Zs.A 4432: Show issues

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Article ; Online: Serum netrin-1 levels are high in Rheumatoid arthritis associated interstitial lung disease.

Kor, Ahmet / Güven, Serdar Can / Akan, Selçuk / Eren, Funda / Ecem Konak, Hatice / Maraş, Yüksel / Orhan, Kevser / Neşelioğlu, Salim / Erten, Şükran

Clinical biochemistry

2024 Volume 127-128, Page(s) 110760

Abstract: Background: Recent data show that netrin-1 has a role in development of pulmonary fibrosis. This study was aimed to investigate serum netrin-1 level and its relation to interstitial lung disease(ILD) in patients with rheumatoid arthritis (RA).: Method! ...

Abstract	Background: Recent data show that netrin-1 has a role in development of pulmonary fibrosis. This study was aimed to investigate serum netrin-1 level and its relation to interstitial lung disease(ILD) in patients with rheumatoid arthritis (RA). Method: 42 RA patients with RA-ILD, 58 RA patients without RA-ILD (RA non-ILD group), and 61 healthy volunteers were included in this study. The modified DAS28-ESR score was used to calculate disease activity in RA patients. Using the quantitative immunoassay method, Serum netrin-1 levels were measured with an ELISA kit (Catalog number: E-EL-H2328; lab science, lot number: GZWTKZ5SWK, Texas, USA). Results: The median value of netrin-1 was found to be significantly higher in the RA-ILD group (82.9 [59.9-124]) compared to both the RA non-ILD group(52.9 [49.5-73.1])(B = -0.006, OR = 0.994, CI 95 %=0.989-0.999, P = 0.018) and the control group(53.5 [49.5-87.5]) (B: -0.005, OR: 0.994, CI 95 %: 0.990-0.999, p: 0.022). A cut-off value of 61.78 for netrin-1 was found to have a sensitivity of 73.8 % and a specificity of 69 % for the diagnosis of RA-ILD (AUC [95 %Cl] = 0.771 [0.679-0.862], p < 0.0001).It was found that high serum netrin-1 level was strongly associated with the RA-usual interstitial pneumonia(UIP) pattern and poorly related to the RA-nonspecific interstitial pneumonia(NSIP) pattern compared to the RA non-ILD group. Conclusions: Netrin-1 is elevated in the serum of patients with RA-ILD, especially in the UIP pattern. Netrin-1 may be a potential candidate for predicting the development of RA-ILD that should be investigated in the pathophysiological and therapeutic fields..
MeSH term(s)	Humans ; Netrin-1/blood ; Arthritis, Rheumatoid/blood ; Arthritis, Rheumatoid/complications ; Lung Diseases, Interstitial/blood ; Lung Diseases, Interstitial/etiology ; Lung Diseases, Interstitial/complications ; Female ; Male ; Middle Aged ; Aged ; Biomarkers/blood ; Adult ; Case-Control Studies
Chemical Substances	Netrin-1 (158651-98-0) ; NTN1 protein, human ; Biomarkers
Language	English
Publishing date	2024-03-29
Publishing country	United States
Document type	Journal Article
ZDB-ID	390372-2
ISSN	1873-2933 ; 0009-9120
ISSN (online)	1873-2933
ISSN	0009-9120
DOI	10.1016/j.clinbiochem.2024.110760
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Article ; Online: Diagnosis of osteoarthritic changes, loss of cervical lordosis, and disc space narrowing on cervical radiographs with deep learning methods.

Maraş, Yüksel / Tokdemir, Gül / Üreten, Kemal / Atalar, Ebru / Duran, Semra / Maraş, Hakan

Joint diseases and related surgery

2022 Volume 33, Issue 1, Page(s) 93–101

Abstract: Objectives: In this study, we aimed to differentiate normal cervical graphs and graphs of diseases that cause mechanical neck pain by using deep convolutional neural networks (DCNN) technology.: Materials and methods: In this retrospective study, the ...

Abstract	Objectives: In this study, we aimed to differentiate normal cervical graphs and graphs of diseases that cause mechanical neck pain by using deep convolutional neural networks (DCNN) technology. Materials and methods: In this retrospective study, the convolutional neural networks were used and transfer learning method was applied with the pre-trained VGG-16, VGG-19, Resnet-101, and DenseNet-201 networks. Our data set consisted of 161 normal lateral cervical radiographs and 170 lateral cervical radiographs with osteoarthritis and cervical degenerative disc disease. Results: We compared the performances of the classification models in terms of performance metrics such as accuracy, sensitivity, specificity, and precision metrics. Pre-trained VGG-16 network outperformed other models in terms of accuracy (93.9%), sensitivity (95.8%), specificity (92.0%), and precision (92.0%) results. Conclusion: The results of this study suggest that the deep learning methods are promising support tool in automated control of cervical graphs using the DCNN and the exclusion of normal graphs. Such a supportive tool may reduce the diagnosis time and provide radiologists or clinicians to have more time to interpret abnormal graphs.
MeSH term(s)	Deep Learning ; Humans ; Intervertebral Disc Degeneration/diagnostic imaging ; Lordosis ; Radiography ; Retrospective Studies
Language	English
Publishing date	2022-03-28
Publishing country	Turkey
Document type	Journal Article
ISSN	2687-4792
ISSN (online)	2687-4792
DOI	10.52312/jdrs.2022.445
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Article ; Online: Use of deep learning methods for hand fracture detection from plain hand radiographs.

Üreten, Kemal / Sevinç, Hüseyin Fatih / İğdeli, Ufuk / Onay, Aslıhan / Maraş, Yüksel

Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES

2022 Volume 28, Issue 2, Page(s) 196–201

Abstract: Background: Patients with hand trauma are usually examined in emergency departments of hospitals. Hand fractures are frequently observed in patients with hand trauma. Here, we aim to develop a computer-aided diagnosis (CAD) method to assist physicians ... ...

Title translation	Düz el radyografilerinden el kırıklarının tespiti için derin öğrenme yöntemlerinin kullanılması.
Abstract	Background: Patients with hand trauma are usually examined in emergency departments of hospitals. Hand fractures are frequently observed in patients with hand trauma. Here, we aim to develop a computer-aided diagnosis (CAD) method to assist physicians in the diagnosis of hand fractures using deep learning methods. Methods: In this study, Convolutional Neural Networks (CNN) were used and the transfer learning method was applied. There were 275 fractured wrists, 257 fractured phalanx, and 270 normal hand radiographs in the raw dataset. CNN, a deep learning method, were used in this study. In order to increase the performance of the model, transfer learning was applied with the pre-trained VGG-16, GoogLeNet, and ResNet-50 networks. Results: The accuracy, sensitivity, specificity, and precision results in Group 1 (wrist fracture and normal hand) dataset were 93.3%, 96.8%, 90.3%, and 89.7%, respectively, with VGG-16, were 88.9%, 94.9%, 84.2%, and 82.4%, respectively, with Resnet-50, and were 88.1%, 90.6%, 85.9%, and 85.3%, respectively, with GoogLeNet. The accuracy, sensitivity, specificity, and precision results in Group 2 (phalanx fracture and normal hand) dataset were 84.0%, 84.1%, 83.8%, and 82.8%, respectively, with VGG-16, were 79.4%, 78.5%, 80.3%, and 79.7%, respectively, with Resnet-50, and were 81.7%, 81.3%, 82.1%, and 81.3%, respectively, with GoogLeNet. Conclusion: We achieved promising results in this CAD method, which we developed by applying methods such as transfer learning, data augmentation, which are state-of-the-art practices in deep learning applications. This CAD method can assist physicians working in the emergency departments of small hospitals when interpreting hand radiographs, especially when it is difficult to reach qualified colleagues, such as night shifts and weekends.
MeSH term(s)	Deep Learning ; Fractures, Bone/diagnostic imaging ; Hand/diagnostic imaging ; Humans ; Neural Networks, Computer ; Radiography
Language	English
Publishing date	2022-01-28
Publishing country	Turkey
Document type	Journal Article
ZDB-ID	2253739-9
ISSN	1307-7945 ; 1306-696X
ISSN (online)	1307-7945
ISSN	1306-696X
DOI	10.14744/tjtes.2020.06944
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Article ; Online: Macula and optic disc vessel density analyses in systemic lupus erythematosus with optical coherence tomography angiography.

Çomçali, Sebile / Topçu Yilmaz, Pinar / Çavdarli, Cemal / Coşkun, Çiğdem / Maraş, Yüksel / Aşlar, Zeynep / Alp, Mehmet Numan

Medicine

2023 Volume 102, Issue 43, Page(s) e35835

Abstract: To evaluate the optical coherence tomography angiography (OCT-A) findings in patients with systemic lupus erythematosus (SLE). Twenty-eight eyes of 28 patients with SLE and 27 eyes of 27 age and sex matched healthy controls were enrolled in this cross- ... ...

Abstract	To evaluate the optical coherence tomography angiography (OCT-A) findings in patients with systemic lupus erythematosus (SLE). Twenty-eight eyes of 28 patients with SLE and 27 eyes of 27 age and sex matched healthy controls were enrolled in this cross-sectional study. The vessel densities in the macula and optic disc were evaluated using the OCT-A (Optovue, Inc., Freemont, CA). Foveal retinal thickness, retinal vascular density in superficial capillary plexus (SCP), deep capillary plexus, and choriocapillaris, foveal avascular zone (FAZ), acircularity index, foveal vessel density (FD), and non-flow area in the superficial retina, the capillary and all-vessels density in the peripapillary area and the inside-disc area were automatically measured using Angiovue software of OCT-A and compared between the groups. The foveal, parafoveal and perifoveal retinal vessel densities in the superficial and deep capillary plexus and choriocapillaris were similar between groups. FAZ area, FAZ perimetry, acirculatory index, FD and non-flow area did not show a statistically significant difference. The vessel density in the inside disc area was significantly lower in patients with SLE (46.3 ± 3.8%) compared to the control group (49.1 ± 4.8%) (P = .02). Our results demonstrate significant decrement in vessel density in the inside-disc area in patients with SLE. The lower vessel density measurement in the inside-disc area might be associated with early neurologic vascular impairment in SLE. Further studies are required to determine the clinical relevance of this finding.
MeSH term(s)	Humans ; Optic Disk/diagnostic imaging ; Optic Disk/blood supply ; Fluorescein Angiography/methods ; Tomography, Optical Coherence/methods ; Cross-Sectional Studies ; Retinal Vessels/diagnostic imaging ; Lupus Erythematosus, Systemic/complications ; Lupus Erythematosus, Systemic/diagnostic imaging
Language	English
Publishing date	2023-11-01
Publishing country	United States
Document type	Journal Article
ZDB-ID	80184-7
ISSN	1536-5964 ; 0025-7974
ISSN (online)	1536-5964
ISSN	0025-7974
DOI	10.1097/MD.0000000000035835
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Article: Neurological Involvement in Patients with Primary Sjögren's Syndrome: A Retrospective Cross-Sectional Study.

Konak, Hatice Ecem / Gök, Kevser / Armağan, Berkan / Güven, Serdar Can / Atalar, Ebru / Apaydın, Hakan / Maraş, Yüksel / Erten, Şükran

Annals of Indian Academy of Neurology

2023 Volume 26, Issue 4, Page(s) 424–430

Abstract: Background: To determine the rate and types of neurological involvement in patients with primary Sjögren's syndrome (pSS) and to evaluate predictive clinical and immunologic features of neurological involvement.: Methods: We retrospectively assessed ... ...

Abstract	Background: To determine the rate and types of neurological involvement in patients with primary Sjögren's syndrome (pSS) and to evaluate predictive clinical and immunologic features of neurological involvement. Methods: We retrospectively assessed 2127 patients with an ICD-10 code for Sjögren recorded in the hospital database. Among these patients, those meeting the pSS classification criteria and having neurological symptoms and an objective evaluation accordingly were enrolled. After comparing the patients with and without neurological involvement, peripheral and central involvement subtypes were also compared within themselves. Results: A total of 199 pSS patients were enrolled and neurological involvement was found in 31.6%. Peripheral nervous system (PNS) involvement was found in 23.5% of the patients, and central nervous system (CNS) involvement was found in 34.3%. Patients with neurological involvement had a higher frequency of Schirmer's test, anti-Ro/SS-A and anti-La/SS-B positivity and the presence of interstitial lung disease, articular involvement, lymphadenopathy, anemia and hypocomplementemia than patients without those. In multivariate regression analysis, only articular involvement had a higher risk for the development of neurologic involvement [OR 10.01 (4.18-23.97), Conclusions: In our study, it was shown that one third of the symptomatic pSS patients had objective neurological involvement. The presence of neurological symptoms should be considered, especially in patients with articular involvement in pSS.
Language	English
Publishing date	2023-08-08
Publishing country	India
Document type	Journal Article
ZDB-ID	2240174-X
ISSN	1998-3549 ; 0972-2327
ISSN (online)	1998-3549
ISSN	0972-2327
DOI	10.4103/aian.aian_138_23
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