Abstract
Diabetes Mellitus (DM) is a major global health concern associated with serious complications, high healthcare costs, and reduced quality of life. Musculoskeletal pain is a common complication and contributes to limitations in daily activities and increased healthcare utilization. Pain is a multidimensional phenomenon typically classified as nociceptive, neuropathic, or nociplastic; however, evidence regarding pain mechanisms and phenotypes in people with DM remains limited. This review aimed to synthesize and critically review the literature on musculoskeletal pain in individuals with DM, focusing on pain mechanisms and phenotypes according to the International Association for the Study of Pain (IASP) classification. A narrative review with systematic search procedures examined the applicability of the seven clinical criteria proposed by the IASP for nociplastic pain to musculoskeletal pain phenotyping. Searches were conducted in PubMed and Web of Science from inception to December 2025. Evidence was analyzed according to the IASP nociplastic pain criteria to explore alignment with pain phenotyping approaches. Overall, the literature indicates that neuropathic pain mechanisms are relatively well documented and consistently reported in individuals with diabetes, while nociceptive musculoskeletal drivers are also described but with more limited and heterogeneous evidence. In contrast, evidence addressing hypersensitivity phenomena and other domains related to nociplastic pain remains scarce and is still emerging. This pattern suggests that current research on pain in people with DM remains focused on neuropathic mechanisms. Future research adopting standardized pain phenotyping frameworks is needed to support more precise and individualized pain management strategies in this population.
Keywords: diabetes mellitus, neuropathic pain, nociceptive pain, nociplastic pain, pain phenotyping, precision medicine
1. Introduction
Diabetes Mellitus (DM) is a highly prevalent metabolic disorder affecting more than half a billion people worldwide [1]. Chronic hyperglycemia can lead to serious systemic complications [2], which are expensive to treat and negatively impact quality of life [3]. In addition to these complications, pain is frequently reported by individuals with DM, particularly musculoskeletal pain, which appears to be more common in this population than in the general population [4,5,6]. Despite this, studies on pain in people with DM have focused mainly on specific diagnoses, such as diabetic neuropathy and frozen shoulder, while the underlying mechanisms contributing to pain have received comparatively less attention.
Pain is defined by the International Association for the Study of Pain (IASP) as an unpleasant sensory and emotional experience associated with, or resembling, actual or potential tissue damage [7]. The high prevalence of pain and pain-related conditions contributes substantially to disability worldwide [8]. Nociceptive, neuropathic and nociplastic pain are the three main pain phenotypes described by the IASP, with nociplastic pain being introduced as a third mechanistic descriptor only in 2017 [9,10]. Although each phenotype presents distinct definitions and key features [11], it is increasingly recognized that many individuals experience pain states in which more than one mechanism is present [10].
The literature investigating pain symptoms in people with DM has increased in recent years [6,11,12,13,14]. However, most studies do not explore the different pain phenotypes according to the IASP clinical criteria, potentially overlooking a broader understanding of pain in this population. Diabetic neuropathy is a common complication of DM and frequently presents with pain symptoms, such as tingling, pricking and numbness [15,16,17,18,19,20]. In practice, the literature often focuses only on the neuropathic domain of these symptoms [15,21,22,23]. Nociplastic pain is a relatively recent concept and has not yet been investigated in people with DM. It refers to pain that arises from altered nociceptive processing in the absence of clear evidence of ongoing tissue damage or a somatosensory lesion sufficient to explain the pain [24]. Importantly, this does not imply the absence of peripheral pathology, but rather that the observed pathology may be insufficient to fully account for the pain experience [24]. In this context, persistent nociceptive input may contribute to the development of nociplastic pain, as hypersensitivity has been linked to longer duration of nociceptive pain [25,26] and increased rates of nociplastic pain states [27,28].
Precision medicine refers to an evidence-based approach that aims to tailor treatment strategies by identifying clinically meaningful patient subgroups based on characteristics such as disease mechanisms, prognosis, or treatment response [29]. In the context of pain, this perspective has been operationalized through the identification of pain phenotypes, such as nociceptive, neuropathic, and nociplastic pain, which involve distinct biological mechanisms and may respond differently to treatment. This approach has been explored in populations such as cancer survivors [11], COVID-19 survivors [30], and individuals with low back pain [31], where the identification of predominant pain mechanisms has been proposed to support more mechanism-informed pain management. However, in individuals with DM, the assessment and management of pain often follow a more generalized approach, with limited consideration of the predominant pain mechanisms. Recognizing pain phenotypes is particularly important in this context, as neuropathic and nociplastic pain tend to be more difficult to manage than nociceptive pain. Consequently, treatments that are effective for nociceptive pain may be less effective—or even worsen symptoms—in individuals with other pain phenotypes, particularly nociplastic pain [30].
In this context, this narrative review aimed to synthesize and critically interpret the existing literature on musculoskeletal pain in individuals with DM, with a focus on pain mechanisms and phenotypes, as well as identifying current evidence and knowledge gaps. To guide the overall interpretation of the evidence, a conceptual framework was developed.
2. Methods
2.1. Study Design
This study is a narrative review with systematic search procedures. This approach allowed the integration and critical interpretation of the literature to explore the applicability of the IASP nociplastic pain criteria to musculoskeletal pain in individuals with DM.
2.2. Conceptual Framework
We developed a conceptual framework primarily based on literature reviews on the topic [32,33,34,35,36] to illustrate potential pathways linking DM to chronic musculoskeletal pain (Figure 1). The framework highlights hyperglycemia-related metabolic alterations, including inflammation, oxidative stress, and the accumulation of advanced glycation end-products, which may lead to two main groups of complications: diabetic neuropathy and connective muscular tissue disorders. These pathways may contribute to musculoskeletal pain and may interact with sedentary behavior and changes in central pain processing. This framework guided the extraction and interpretation of evidence in this narrative review.
Figure 1.
Conceptual framework illustrating potential pathways linking DM to chronic musculoskeletal pain, including metabolic alterations (e.g., inflammation, oxidative stress, and advanced glycation end-products), and their potential contributions to neuropathic and musculoskeletal complications, as well as interactions with central pain processing.
2.3. Search Strategy
In the second stage, we conducted a narrative review with systematic search procedures to determine the applicability of each of the seven clinical criteria proposed in the IASP nociplastic pain criteria [10] (Figure 2) for phenotyping musculoskeletal pain in individuals with DM.
Figure 2.
Flowchart for identifying and grading nociplastic pain affecting the musculoskeletal system, adapted from Kosek et al. [10]. The seven clinical criteria proposed by the IASP are presented as sequential steps (Step 1–Step 7), with each step corresponding to one criterion and representing a stage in the clinical evaluation process for identifying nociplastic pain.
The search was performed in the PubMed and Web of Science databases, including studies from inception to December 2025, with no restrictions on publication date. The search strategy involved the use of specific MeSH terms, such as “diabetes mellitus,” “diabetes complications,” “diabetic neuropathies,” and “diabetic foot”, to address the aspect of DM, as well as terms related to chronic pain, including “musculoskeletal pain,” “chronic pain,” “central nervous system sensitization,” “paresthesia,” “arthralgia,” “back pain,” and “neck pain.” Boolean operators (AND, OR, NOT) were applied to enhance search sensitivity. Full electronic search strategies, including all Boolean equations, are provided in the Supplementary Materials (Table S1). The grey literature was not considered.
Supplementary articles were identified through manual screening of reference lists and citation tracking of the included studies. These studies were assessed for eligibility, and data were extracted using the same criteria applied to all other articles.
Eligibility Criteria
No restrictions were applied regarding study design, as the objective was to capture evidence relevant to the mechanisms and clinical features associated with nociceptive, neuropathic, and nociplastic pain in this population. Accordingly, observational studies, interventional clinical studies, and relevant reviews were considered if they provided information pertinent to the proposed framework. Only studies involving human participants and published in English were included. Articles were excluded if they were clearly unrelated to musculoskeletal pain in DM or focused primarily on animal models, specific pharmacological treatments (e.g., pregabalin or gabapentin), or medical conditions irrelevant to musculoskeletal pain (e.g., cardiovascular diseases).
2.4. Data Extraction and Synthesis
Two reviewers (LBN and JKF) independently assessed all identified studies by title to exclude those clearly unrelated to our purpose. The abstracts of the selected titles were then analyzed, and the full texts of potentially relevant articles were retrieved for final review. Through a comprehensive reading, evidence pertaining to each of the seven clinical criteria for nociplastic pain proposed by the IASP was identified. These findings were then summarized in an Excel spreadsheet. The extracted data were then collectively interpreted to identify patterns related to the seven IASP nociplastic pain criteria. Evidence was summarized narratively, linking each study’s findings to the corresponding criteria.
3. Results
3.1. Search Results
The electronic search returned 2769 studies. Of these, 118 duplicated records were removed. Subsequently, the titles of the remaining articles were analyzed, resulting in 240 articles selected for a more in-depth review of the abstracts. Following this step, 114 articles were identified as potential candidates for full-text reading. Finally, after a detailed analysis of the full texts, 85 articles were considered significant contributors, providing relevant information for at least one of the seven clinical criteria proposed by the IASP for identifying nociplastic pain. A flow diagram summarizing the study selection process is presented in Figure 3.
Figure 3.
Flow diagram illustrating the study selection process for this narrative review with systematic search procedures, including identification, screening, eligibility, and inclusion of studies.
The included literature reflects a heterogeneous evidence base. Many studies focus on diabetic neuropathy, particularly painful diabetic polyneuropathy, which is one of the most frequently investigated pain conditions in DM. However, a considerable number of publications also address other musculoskeletal pain conditions, including low back pain, shoulder disorders, osteoarthritis, and generalized musculoskeletal pain. The majority of the literature is observational in nature, with cross-sectional designs predominating, while narrative reviews are also common, reflecting ongoing efforts to synthesize emerging evidence on pain in diabetes. In contrast, comparatively fewer studies investigate the biological and neurophysiological mechanisms underlying pain. Geographically, the literature is largely concentrated in Europe and North America, although contributions from Asia, the Middle East, Africa and South America are also represented.
3.2. Evidence and Limitations for Applying the 2021 IASP Criteria for Nociplastic Pain and the Established Clinical Criteria for Neuropathic Pain to People with DM and Musculoskeletal Pain
In this section, the available evidence related to each of the seven clinical criteria proposed by the IASP for nociplastic pain is presented and critically interpreted. Given that this review aims to evaluate the applicability of each criterion to musculoskeletal pain in individuals with DM, the presentation of evidence and its interpretative discussion are integrated within each step, rather than being presented in a separate discussion section.
Step 1—Pain duration
The identified studies indicate a consistent association between DM and chronic musculoskeletal pain. Epidemiological data suggest that musculoskeletal pain is common among individuals with DM, with chronic pain lasting ≥3 months reported in 49.5% of patients with type 2 DM in a primary care setting in Hong Kong [12]. Several studies included in this review define chronic pain as persisting for ≥3 months in people with DM [5,37,38,39,40,41,42,43,44,45,46,47], in line with international standards, including the IASP criteria for pain phenotyping [10]. Abaraogu et al. [41] identified chronic musculoskeletal symptoms, such as pain and/or stiffness lasting for three months or longer, with chronic low back pain reported in 49.7% of participants with T2DM, compared to 38.9% of those without DM. Similarly, studies such as those by Hassoon et al. [40] and Liberman et al. [46] considered chronic low back pain in people with DM as persisting for ≥3 months to fit into the category of chronic pain. Additionally, there is consistent evidence that the duration of chronic pain in people with DM can be substantial, with reports of pain lasting more than one year [46].
This suggests that chronic musculoskeletal pain in patients with DM often meets the ≥3-month duration criterion proposed in the first step of the IASP classification of nociplastic pain [10]. Importantly, a distinction should be made between chronic musculoskeletal pain and chronic painful diabetic neuropathy. Painful diabetic neuropathy is also considered chronic when pain persists for ≥3 months, but it is defined as pain resulting from abnormalities in the peripheral somatosensory system in individuals with DM [15]. Thus, although both conditions meet the temporal criterion for chronic pain, they represent different underlying mechanisms. Nevertheless, musculoskeletal pain and neuropathic mechanisms may coexist in people with DM, and their potential interaction will be explored in the following steps.
Step 2—Pain distribution (regional rather than discrete)
The identified studies suggest that people with DM report more widespread pain, including regions above and below the waist, compared to individuals without DM [39,42]. Furthermore, there may also be an association between DM and chronic widespread pain, characterized by pain lasting ≥3 months and involving four or more body sites [43,44]. Other studies observed that a significant proportion of people with DM and neuropathy frequently report pain in two or more locations beyond the lower limbs [48] or suffer from other chronic musculoskeletal pain conditions [49]. People with painful neuropathy are also more likely to experience pain in various body locations [49]. Importantly, factors such as obesity, waist circumference, depression, and neuropathy severity have been associated with an increased risk of painful diabetic neuropathy [50,51] and may act as potential confounders influencing pain distribution.
The findings from this step are consistent with a Delphi study in which 82% of the 49 experts agreed that diffuse, widespread, or poorly localized pain is a distinctive characteristic of nociplastic pain [52]. However, the presence of widespread pain is supportive of, but not sufficient for, the diagnosis of nociplastic pain, and should be interpreted alongside other clinical features. This highlights the need to consider the predominant underlying pain mechanisms.
Step 3—Nociceptive pain mainly responsible for pain
The identified studies indicate that musculoskeletal disorders associated with DM may have a predominantly nociceptive origin. Several studies report a high prevalence of painful conditions with nociceptive characteristics in people with DM, such as frozen shoulder, rotator cuff disorders, intervertebral disc degeneration, osteoarthritis, and limited joint mobility syndrome [53,54,55,56,57,58,59,60]. These conditions appear to be partly related to hyperglycemia, which increases advanced glycation end-product (AGE) levels and affects collagen structure, leading to alterations in strength, stability, and organization of tendons, ligaments, and cartilage [61].
However, epidemiological studies have shown that abnormalities like intervertebral disc degeneration (IVDD) [62], degenerative cartilage tears in the knee [63,64], and tendon tears in the shoulder [65] are also common in asymptomatic individuals, indicating that structural alterations may not entirely explain pain experiences. This dissociation is evident even in people with DM, as ultrasonographic arthritic knee changes are highly prevalent in individuals with type 2 DM both with and without knee pain, while specific local nociceptive diagnoses are identified in only a small proportion of individuals [64]. Notably, the presence of structural abnormalities does not always result in pain, illustrating a structure–symptom mismatch that may contribute to overmedicalization in people with DM, as interventions could be guided primarily by imaging findings rather than patient-reported symptoms. Furthermore, evidence suggests that pain in people with DM is not exclusively nociceptive, as individuals often report chronic pain in multiple body regions [66,67,68]. The assessment of neuropathic and nociplastic features is frequently overlooked, despite IASP recommendations for comprehensive pain phenotyping [10,69].
Taken together, these findings suggest that although musculoskeletal disorders associated with DM may imply the presence of nociceptive drivers, their presence does not guarantee the predominance of nociceptive pain. Indeed, the presence of nociceptive drivers does not rule out contributions from nociplastic and neuropathic mechanisms. In this context, mixed musculoskeletal conditions involving both nociceptive and neuropathic components have already been described in people with DM [70,71], reinforcing the complexity of pain in this population and the need for a multidimensional approach to its management. This perspective is consistent with IASP recommendations for pain phenotyping [10], which recognize that mixed pain presentations are common in other pain conditions [31] beyond the DM population.
Step 4—Neuropathic pain mainly responsible for pain
An extensive range of studies investigating diabetic neuropathy is available since it is a very common complication of DM. Peripheral symmetric polyneuropathy emerges as the most common form of manifestation, which may or may not be accompanied by pain. A high prevalence of neuropathic pain among individuals with diabetic neuropathy has been reported, ranging from 20.3 to 63.9% [37,48,72,73,74,75]. The great discrepancy in epidemiological data may be attributed to the use of different diagnostic criteria for identifying neuropathic pain among the studies. When considering only studies that assessed neuropathic pain in people with DM by means of the IASP criteria [69], the prevalence ranges from 37% to 42% [48,74].
Surprisingly, there has been an increase in studies adopting the clinical criteria proposed by the IASP [71,76]. Other painful conditions in people with DM involve neuropathic mechanisms distinct from classic distal polyneuropathy, such as carpal tunnel syndrome [77], neuropathic arthritis or Charcot joints [36], diabetic amyotrophy [78], and reflex sympathetic dystrophy [46,79]. These conditions arise from nerve involvement but can also lead to structural changes in musculoskeletal tissues, producing pain features that may overlap with nociceptive mechanisms. Neuropathic pain in IVDD and shoulder disorders similarly involves mechanisms distinct from classic distal polyneuropathy. Jin et al. [56] found that type 2 DM has a causal effect on IVDD, regardless of body mass index, and people with type 2 DM show a 6.9% increased risk of developing IVDD compared to those without DM. The pathophysiological changes in the cartilaginous endplates of the discs in IVDD may increase the propensity for disc protrusions, which, in turn, can contribute to nerve root compression and contribute to the development of low back pain with possible nociceptive or neuropathic characteristics. Likewise, Alabdali et al. [54] investigated the prevalence of neuropathic shoulder pain in people with type 2 DM and found that pain was present in 3% of patients when adopting a score of 5 or more in the Douleur Neuropatique 4 (DN4) screening instrument, used as a diagnostic criterion for neuropathic pain. Beyond identifying the predominant pain mechanisms, it is also relevant to explore features of altered pain processing, such as hypersensitivity phenomena.
Step 5—Pain hypersensitivity phenomena
This step involves screening for pain hypersensitivity in the pain region by means of static or dynamic mechanical allodynia, heat or cold allodynia, and painful after-sensations reported following these assessments [10]. Sensory phenotyping allows distinguishing between sensory loss (negative sensory signs, e.g., reduced perception to touch or temperature) and gain-of-function phenomena (positive sensory signs, e.g., mechanical or thermal allodynia and hyperalgesia) [69,76]. These patterns reflect different underlying pathophysiological mechanisms and may inform targeted assessment and management.
In people with DM and musculoskeletal pain, there remains a significant gap in the literature regarding the investigation of evoked pain hypersensitivity phenomena. Existing studies have primarily focused on the evaluation of sensory profiles in people with diabetic neuropathy, whether painful or not. Akintoye et al. [80] found that people with painful diabetic neuropathy have significantly reduced pain thresholds and beta-endorphin levels compared to individuals without diabetic neuropathy and to healthy controls. However, this study did not adopt the IASP criteria for identifying neuropathic pain [69]. Additionally, Granovsky et al. [81] compared the efficiency of endogenous pain modulation in people with painful diabetic neuropathy (assessed by IASP criteria) with those with non-painful diabetic neuropathy and did not find significant differences in pressure pain modulation between groups; however, individuals with painful neuropathy showed more efficient heat pain modulation. Nevertheless, the study by Themistocleous et al. [76] revealed that dynamic mechanical allodynia, specifically evoked by brushing, was the only “gain-of-function” phenomenon that differentiated participants with painful diabetic neuropathy from those with non-painful diabetic neuropathy. This phenomenon was observed in 15% of individuals with painful diabetic neuropathy, indicating a possible dysfunction in central processing of sensory information in these individuals [76].
However, since there is limited evidence on pain hypersensitivity assessment in other DM-related painful musculoskeletal conditions (beyond diabetic neuropathy), and the available evidence in people with painful diabetic neuropathy is inconsistent, it cannot be concluded that people with DM truly present alterations related to “sensory gain of function” [76,82,83]. Moreover, most studies use assessments reflecting central alterations in sensory processing, such as temporal summation, conditioned pain modulation, or exercise-induced hypoalgesia, and the reliability of these tests in clinical settings is still uncertain [10]. A key distinction is that peripheral sensitization involves increased excitability of nociceptors in the affected region, while central sensitization reflects amplified pain processing within the central nervous system. Both mechanisms can lead to pain hypersensitivity, although through different processes and with distinct clinical implications; in particular, central sensitization is one of the mechanisms often associated with nociplastic pain [24,84]. For this reason, further research is warranted to explore hypersensitivity phenomena in people with DM and painful musculoskeletal conditions. Additionally, assessing the history of hypersensitivity reported by patients can provide complementary clinical information.
Step 6—History of pain hypersensitivity
This step focuses on evaluating whether people with DM report hypersensitivity in the painful region. Information can be gathered through interviews exploring sensitivity to touch, movement, pressure, or temperature variations. This step also has a lack of evidence to support its application in DM, revealing a significant gap in the literature. Similarly to the previous step, the limited existing evidence seems to be predominantly related to diabetic neuropathy, which is indeed the most prevalent and devastating condition for people with DM.
For instance, Knauf and Koltyn [85] identified that people with painful diabetic neuropathy experienced elevated levels of muscle pain during exercise and lacked exercise-induced hypoalgesia compared to people with DM without painful diabetic neuropathy. The authors hypothesized about a possible movement hypersensitivity in this population. Additionally, several studies [86,87,88,89] examined the validity of the Michigan Neuropathy Screening Instrument (MNSI) as a screening and diagnostic tool for diabetic neuropathy in different populations and clinical contexts. The MNSI consists of two components, a 15-item self-administered questionnaire and a physical examination of the lower limbs, addressing hypersensitivity to touch and movement and hyposensitivity to temperature in the feet and legs of the patients [86]. Despite its primary use in cases of diabetic neuropathy, this tool includes items that may reveal the potential presence of hypersensitivity symptoms among individuals with DM. However, it should be noted that the MNSI was not designed to detect nociplastic pain, highlighting a methodological mismatch when assessing central or widespread hypersensitivity.
Evidence supporting the application of this step for individuals with DM with musculoskeletal pain is still limited, and it would be interesting for further studies to investigate self-reported hypersensitivity to better understand its presentation and clinical impact across a broader range of patients. Such information can provide complementary clinical insight and may contribute to the evaluation of comorbid symptoms in the following step.
Step 7—Comorbid symptoms
The last step implies screening for comorbid symptoms, including fatigue, difficulties with cognition such as attention and memory issues, sleep problems, and heightened sensitivity to sensory inputs like light, sound, or odors. In people with DM and musculoskeletal pain, some evidence on the presence of cognitive dysfunction and sleep disorders stands out. Croosu et al. [79] found that individuals with type 1 DM performed worse on cognitive tests, especially in the areas of memory and language, when compared to healthy controls. However, in a subgroup analysis, no difference in cognitive function was observed among individuals with type 1 DM when stratified according to pain status and neuropathy classification (painful, painless, or absent diabetic neuropathy). A study performed by Nunley et al. [90] observed a fivefold higher prevalence of significant cognitive impairment in middle-aged adults with type 1 DM than in healthy controls (28% vs. 5%), independent of education and age, but they did not consider the presence or experience of pain in the sample. Additionally, two studies [91,92] did not identify differences in cognitive function (by means of the Test Your Memory instrument) between type 2 DM patients with and without diabetic neuropathic pain, but one of them [91] observed that obesity and a greater disease duration were factors related to a greater risk of cognitive impairment in people with diabetic neuropathic pain.
Different studies [92,93,94,95] reported high rates of sleep disturbances in people with painful diabetic neuropathy. In addition, individuals with painful diabetic neuropathy presented with worse sleep rates when compared to individuals with painless diabetic neuropathy [92], the general population [94], and people with other chronic diseases [94]. Mehrdad et al. [96] found significant subjective sleep disturbances in people with DM, both types 1 and 2, and identified that one of the most reported factors of sleep interruptions was pain. Furthermore, poor sleep quality was linked to higher HbA1c and 2HPPBS and poor glycemic control [96]. Additionally, one study [97] observed a higher prevalence of chronic fatigue in individuals with type 1 DM relative to individuals without DM, and the condition was linked to factors such as age, depressive symptoms, pain, sleep disturbances, reduced self-efficacy related to fatigue, and physical inactivity.
Within the context of step 7, a key limitation of the current literature is that most of the studies considered only the condition of painful diabetic neuropathy and did not assess comorbid symptoms in the presence of other painful musculoskeletal conditions related to DM. This limits our understanding of how comorbid symptoms may relate to different musculoskeletal pain presentations and the potential underlying mechanisms in people with DM. In addition, there were no studies that assessed comorbid symptoms including heightened sensitivity to auditory, visual, and olfactory stimuli in people with DM and musculoskeletal pain. Given these gaps, approaches used in other chronic pain conditions associated with central sensitization, such as fibromyalgia, may provide useful insights. In these conditions, cluster and factor analyses have identified subgroups with distinct physical, cognitive, and psychological symptom profiles [98,99]. Applying a similar approach to DM-related musculoskeletal pain could help reveal symptom patterns and underlying nociplastic mechanisms, ultimately supporting more comprehensive and targeted assessment and management.
4. Limitations
This review has some limitations that deserve consideration. One limitation is that, although the study was supported by systematic search procedures, it was conducted as a narrative review instead of a formal systematic review, which may limit the extent and reproducibility of the search process. Another limitation is related to the applicability of the IASP nociplastic pain criteria to musculoskeletal pain in individuals with DM, which was evaluated through interpretation of the available literature, since most studies were not originally designed to assess these criteria. In addition, the included evidence shows heterogeneity regarding study designs, populations, and pain conditions, while differences in the definitions and assessment methods of musculoskeletal pain across studies may further limit comparability of findings. Furthermore, much of the literature focuses primarily on painful diabetic neuropathy rather than other musculoskeletal pain conditions related to DM. Despite these limitations, this review provides a structured synthesis of the available evidence and highlights important gaps for future research.
5. Conclusions
The available literature indicates that musculoskeletal pain in individuals with DM has not yet been systematically investigated using the clinical criteria proposed by the IASP for pain phenotyping. While nociceptive and neuropathic pain mechanisms are well documented in this population, evidence related to central sensitization and nociplastic pain remains scarce. This gap limits a comprehensive, mechanism-based understanding of pain in people with DM and may contribute to the continued use of generalized management approaches instead of mechanism-based interventions.
Future research should prioritize longitudinal cohort studies that track pain duration and distribution while incorporating approaches such as quantitative sensory testing and multidimensional symptom assessment to better characterize pain mechanisms and identify clinically meaningful subgroups. In addition, the development of standardized pain phenotyping frameworks could help integrate these assessments and support more precise, mechanism-based classification and individualized management strategies for people with DM. Such advances would also have important clinical implications, as more accurate phenotyping may help reduce misclassification and guide more appropriate treatment selection, for example, by avoiding over-reliance on pharmacological approaches in favor of multimodal, mechanism-based care.
Supplementary Materials
The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/jcm15072639/s1: Table S1: Complete search strategies and Boolean equations used in the systematic search.
Author Contributions
Conceptualization, L.B.N., J.K.F., J.N., I.C.N.S. and P.R.C.; methodology, L.B.N., J.K.F., J.N., I.C.N.S. and P.R.C.; investigation, L.B.N. and J.K.F.; writing—original draft preparation, L.B.N.; writing—review and editing, L.B.N., J.K.F., J.N., I.C.N.S. and P.R.C.; visualization, L.B.N.; supervision, J.N., I.C.N.S. and P.R.C.; funding acquisition, P.R.C. All authors have read and agreed to the published version of the manuscript.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Conflicts of Interest
The Vrije Universiteit Brussel and J.N. received lecturing/teaching fees from various professional associations and educational organizations. J.N. authored books on pain science education and pain management, but the royalties are collected by the Vrije Universiteit Brussel, Brussels, Belgium. The authors declare no other conflicts of interest.
Funding Statement
This research was funded by the São Paulo Research Foundation (FAPESP), grant numbers 2023/05073-8 and 2023/11825-2. The National Council for Scientific and Technological Development (CNPq/Brazil) funded I.C.N. Sacco (302558/2022-5) and P.R. Camargo (305444/2023-9).
Footnotes
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
References
- 1.Genitsaridi I., Salpea P., Salim A., Sajjadi S.F., Tomic D., James S., Thirunavukkarasu S., Issaka A., Chen L., Basit A., et al. 11th Edition of the IDF Diabetes Atlas: Global, Regional, and National Diabetes Prevalence Estimates for 2024 and Projections for 2050. Lancet Diabetes Endocrinol. 2026;14:149–156. doi: 10.1016/S2213-8587(25)00299-2. [DOI] [PubMed] [Google Scholar]
- 2.WHO . Global Report on Diabetes. Volume 978. WHO; Geneva, Switzerland: 2016. pp. 6–86. [Google Scholar]
- 3.Webber S. International Diabetes Federation. J. Diabetes Nurs. 2011;15:118–119. [Google Scholar]
- 4.Liaghat B., Folkestad L., Skou S.T., Koes B., Hartvigsen J. Prevalence and Consequences of Musculoskeletal Pain in the Upper and Lower Extremities: A Cross-Sectional Analysis of Patients with Type 1 and Type 2 Diabetes in Denmark. Prim. Care Diabetes. 2023;17:267–272. doi: 10.1016/j.pcd.2023.02.003. [DOI] [PubMed] [Google Scholar]
- 5.Carvalho-E-Silva A.P., Ferreira M.L., Ferreira P.H., Harmer A.R. Does Type 2 Diabetes Increase the Risk of Musculoskeletal Pain? Cross-Sectional and Longitudinal Analyses of UK Biobank Data. Semin. Arthritis Rheum. 2020;50:728–734. doi: 10.1016/j.semarthrit.2020.05.007. [DOI] [PubMed] [Google Scholar]
- 6.Rehling T., Bjørkman A.S.D., Andersen M.B., Ekholm O., Molsted S. Diabetes Is Associated with Musculoskeletal Pain, Osteoarthritis, Osteoporosis, and Rheumatoid Arthritis. J. Diabetes Res. 2019;2019:6324348. doi: 10.1155/2019/6324348. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Raja S.N., Carr D.B., Cohen M., Finnerup N.B., Flor H., Gibson S., Keefe F.J., Mogil J.S., Ringkamp M., Sluka K.A., et al. The Revised International Association for the Study of Pain Definition of Pain: Concepts, Challenges, and Compromises. Pain. 2020;161:1976–1982. doi: 10.1097/j.pain.0000000000001939. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Vos T., Abajobir A.A., Abate K.H., Abbafati C., Abbas K.M., Abd-Allah F., Abdulkader R.S., Abdulle A.M., Abebo T.A., Abera S.F., et al. Global, Regional, and National Incidence, Prevalence, and Years Lived with Disability for 328 Diseases and Injuries for 195 Countries, 1990–2016: A Systematic Analysis for the Global Burden of Disease Study 2016. Lancet. 2017;390:1211–1259. doi: 10.1016/S0140-6736(17)32154-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Merskey N., Bogduk N. Classification of Chronic Pain: Descriptions of Chronic Pain Syndromes and Definitions of Pain Terms. 2nd ed. IASP Press; Seattle, WA, USA: 1994. Part III: Pain Terms, a Current List with Definitions and Notes on Usage; pp. 209–214. [Google Scholar]
- 10.Kosek E., Clauw D., Nijs J., Baron R., Gilron I., Harris R.E., Mico J.A., Rice A.S.C., Sterling M. Chronic Nociplastic Pain Affecting the Musculoskeletal System: Clinical Criteria and Grading System. Pain. 2021;162:2629–2634. doi: 10.1097/j.pain.0000000000002324. [DOI] [PubMed] [Google Scholar]
- 11.Nijs J., Lahousse A., Fernández-de-las-Peñas C., Madeleine P., Fontaine C., Nishigami T., Desmedt C., Vanhoeij M., Mostaqim K., Cuesta-Vargas A.I., et al. Towards Precision Pain Medicine for Pain after Cancer: The Cancer Pain Phenotyping Network Multidisciplinary International Guidelines for Pain Phenotyping Using Nociplastic Pain Criteria. Br. J. Anaesth. 2023;130:611–621. doi: 10.1016/j.bja.2022.12.013. [DOI] [PubMed] [Google Scholar]
- 12.Sit R.W., Wang B., Ng W.-S., Abdullah A., Ismail I.Z., Goh L.-H., Wong S.Y. Prevalence and Association of Chronic Musculoskeletal Pain on Self-Management, Glycemic Control and Quality of Life among Chinese Type 2 Diabetes Patients in Primary Care. Prim. Care Diabetes. 2022;16:525–530. doi: 10.1016/j.pcd.2022.04.004. [DOI] [PubMed] [Google Scholar]
- 13.Tran S.T., Salamon K.S., Hainsworth K.R., Kichler J.C., Davies W.H., Alemzadeh R., Weisman S.J. Pain Reports in Children and Adolescents with Type 1 Diabetes Mellitus. J. Child Health Care. 2015;19:43–52. doi: 10.1177/1367493513496908. [DOI] [PubMed] [Google Scholar]
- 14.Todd J., Rudaizky D., Clarke P., Sharpe L. Cognitive Biases in Type 2 Diabetes and Chronic Pain. J. Pain. 2022;23:112–122. doi: 10.1016/j.jpain.2021.06.016. [DOI] [PubMed] [Google Scholar]
- 15.Rosenberger D.C., Blechschmidt V., Timmerman H., Wolff A., Treede R.-D. Challenges of Neuropathic Pain: Focus on Diabetic Neuropathy. J. Neural Transm. 2020;127:589–624. doi: 10.1007/s00702-020-02145-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Feldman E.L., Callaghan B.C., Pop-Busui R., Zochodne D.W., Wright D.E., Bennett D.L., Bril V., Russell J.W., Viswanathan V. Diabetic Neuropathy. Nat. Rev. Dis. Primers. 2019;5:42. doi: 10.1038/s41572-019-0092-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Win M.M.T.M., Fukai K., Nyunt H.H., Linn K.Z. Hand and Foot Exercises for Diabetic Peripheral Neuropathy: A Randomized Controlled Trial. Nurs. Health Sci. 2020;22:416–426. doi: 10.1111/nhs.12676. [DOI] [PubMed] [Google Scholar]
- 18.Zhang X., Yang X., Sun B., Zhu C. Perspectives of Glycemic Variability in Diabetic Neuropathy: A Comprehensive Review. Commun. Biol. 2021;4:1366. doi: 10.1038/s42003-021-02896-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Leal M.V.d.S., Lima M.O., Nicolau R.A., De Carvallho T.M.T., Abreu J.A.d.C., Pessoa D.R., Arisawa E.A.L.S. Effect of Modified Laser Transcutaneous Irradiation on Pain and Quality of Life in Patients with Diabetic Neuropathy. Photobiomodul. Photomed. Laser Surg. 2020;38:138–144. doi: 10.1089/photob.2019.4714. [DOI] [PubMed] [Google Scholar]
- 20.Andrade Lopes S., Fayolle D., Jornayvaz F.R. Neuropathie Diabétique : Mise Au Point. Rev. Med. Suisse. 2022;18:1106–1109. doi: 10.53738/REVMED.2022.18.784.1106. [DOI] [PubMed] [Google Scholar]
- 21.Sloan G., Shillo P., Selvarajah D., Wu J., Wilkinson I.D., Tracey I., Anand P., Tesfaye S. A New Look at Painful Diabetic Neuropathy. Diabetes Res. Clin. Pract. 2018;144:177–191. doi: 10.1016/j.diabres.2018.08.020. [DOI] [PubMed] [Google Scholar]
- 22.Nawroth P.P., Bendszus M., Pham M., Jende J., Heiland S., Ries S., Schumann C., Schmelz M., Schuh-Hofer S., Treede R.D., et al. The Quest for More Research on Painful Diabetic Neuropathy. Neuroscience. 2018;387:28–37. doi: 10.1016/j.neuroscience.2017.09.023. [DOI] [PubMed] [Google Scholar]
- 23.Ucar M., Cebicci M.A., Koca I., Arik H.O. Frequency of Neuropathic Pain in Patients with Shoulder Pain. Eur. Rev. Med. Pharmacol. Sci. 2022;26:5422–5425. doi: 10.26355/eurrev_202208_29410. [DOI] [PubMed] [Google Scholar]
- 24.Kosek E., Cohen M., Baron R., Gebhart G.F., Mico J.-A., Rice A.S.C., Rief W., Sluka A.K. Do We Need a Third Mechanistic Descriptor for Chronic Pain States? Pain. 2016;157:1382–1386. doi: 10.1097/j.pain.0000000000000507. [DOI] [PubMed] [Google Scholar]
- 25.Leffler A.S., Kosek E., Lerndal T., Nordmark B., Hansson P. Somatosensory Perception and Function of Diffuse Noxious Inhibitory Controls (DNIC) in Patients Suffering from Rheumatoid Arthritis. Eur. J. Pain. 2002;6:161–176. doi: 10.1053/eujp.2001.0313. [DOI] [PubMed] [Google Scholar]
- 26.Pollard L.C., Ibrahim F., Choy E.H., Scott D.L. Pain Thresholds in Rheumatoid Arthritis: The Effect of Tender Point Counts and Disease Duration. J. Rheumatol. 2012;39:28–31. doi: 10.3899/jrheum.110668. [DOI] [PubMed] [Google Scholar]
- 27.Clauw D.J., Katz P. The Overlap Between Fibromyalgia and Inflammatory Rheumatic Disease. JCR J. Clin. Rheumatol. 1995;1:335–342. doi: 10.1097/00124743-199512000-00004. [DOI] [PubMed] [Google Scholar]
- 28.Wolfe F., Häuser W., Hassett A.L., Katz R.S., Walitt B.T. The Development of Fibromyalgia-I: Examination of Rates and Predictors in Patients with Rheumatoid Arthritis (RA) Pain. 2011;152:291–299. doi: 10.1016/j.pain.2010.09.027. [DOI] [PubMed] [Google Scholar]
- 29.National Research Council Committee on A Framework for Developing a New Taxonomy of Disease . Toward Precision Medicine: Building a Knowledge Network for Biomedical Research and a New Taxonomy of Disease. National Academies Press; Washington, DC, USA: 2011. [PubMed] [Google Scholar]
- 30.Fernández-de-las-Peñas C., Nijs J., Neblett R., Polli A., Moens M., Goudman L., Shekhar Patil M., Knaggs R.D., Pickering G., Arendt-Nielsen L. Phenotyping Post-COVID Pain as a Nociceptive, Neuropathic, or Nociplastic Pain Condition. Biomedicines. 2022;10:2562. doi: 10.3390/biomedicines10102562. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Nijs J., Kosek E., Chiarotto A., Cook C., Danneels L.A., Fernández-de-las-Peñas C., Hodges P.W., Koes B., Louw A., Ostelo R., et al. Nociceptive, Neuropathic, or Nociplastic Low Back Pain? The Low Back Pain Phenotyping (BACPAP) Consortium’s International and Multidisciplinary Consensus Recommendations. Lancet Rheumatol. 2024;6:e178–e188. doi: 10.1016/S2665-9913(23)00324-7. [DOI] [PubMed] [Google Scholar]
- 32.Eitner A. Diabetes Mellitus—Ein Risikofaktor Für Schmerzen. Der Schmerz. 2025;39:350–358. doi: 10.1007/s00482-025-00900-x. [DOI] [PubMed] [Google Scholar]
- 33.Cox E.R., Coombes J.S., Keating S.E., Burton N.W., Coombes B.K. Not a Painless Condition: Rheumatological and Musculoskeletal Symptoms in Type 2 Diabetes, and the Implications for Exercise Participation. Curr. Diabetes Rev. 2020;16:211–219. doi: 10.2174/1573399815666190531083504. [DOI] [PubMed] [Google Scholar]
- 34.Sozen T., Calik Basaran N., Tinazli M., Ozisik L. Musculoskeletal Problems in Diabetes Mellitus. Eur. J. Rheumatol. 2018;5:258–265. doi: 10.5152/eurjrheum.2018.18044. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Merashli M., Chowdhury T.A., Jawad A.S.M. Musculoskeletal Manifestations of Diabetes Mellitus. QJM. 2015;108:853–857. doi: 10.1093/qjmed/hcv106. [DOI] [PubMed] [Google Scholar]
- 36.Gupta V., Santhi S.S.E., Ravi S., Ramanan E.A. Rheumatological and Musculoskeletal Complications in Diabetes Patients. J. Endocrinol. Metab. 2022;12:117–124. doi: 10.14740/jem811. [DOI] [Google Scholar]
- 37.Bouhassira D., Letanoux M., Hartemann A. Chronic Pain with Neuropathic Characteristics in Diabetic Patients: A French Cross-Sectional Study. PLoS ONE. 2013;8:e74195. doi: 10.1371/journal.pone.0074195. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Chen Y., Yang L., Gao X., Tang A., He H., Xiong C., Xu F., Sun C. The Impact of Diabetes Mellitus on Patient-Reported Outcomes of Chronic Low Back Pain with Modic Changes at One Year: A Prospective Cohort Study. Glob. Spine J. 2023;15:722–730. doi: 10.1177/21925682231206962. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Mäntyselkä P., Miettola J., Niskanen L., Kumpusalo E. Chronic Pain, Impaired Glucose Tolerance and Diabetes: A Community-Based Study. Pain. 2008;137:34–40. doi: 10.1016/j.pain.2007.08.007. [DOI] [PubMed] [Google Scholar]
- 40.Hassoon A., Bydon M., Kerezoudis P., Maloney P.R., Rinaldo L., Yeh H.C. Chronic Low-Back Pain in Adult with Diabetes: NHANES 2009–2010. J. Diabetes Complicat. 2017;31:38–42. doi: 10.1016/j.jdiacomp.2016.10.025. [DOI] [PubMed] [Google Scholar]
- 41.Abaraogu U.O., Ochi C., Umahi E., Ogbonnaya C., Onah I. Individuals with Type 2 Diabetes Are at Higher Risk of Chronic Musculoskeletal Pain: A Study with Diabetes Cohort. Int. J. Diabetes Dev. Ctries. 2017;37:267–271. doi: 10.1007/s13410-016-0489-2. [DOI] [Google Scholar]
- 42.Hoff O.M., Midthjell K., Zwart J.A., Hagen K. The Association between Diabetes Mellitus, Glucose, and Chronic Musculoskeletal Complaints. Results from the Nord-Trøndelag Health Study. BMC Musculoskelet. Disord. 2008;9:160. doi: 10.1186/1471-2474-9-160. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Mäntyselkä P., Miettola J., Niskanen L., Kumpusalo E. Persistent Pain at Multiple Sites—Connection to Glucose Derangement. Diabetes Res. Clin. Pract. 2009;84:e30–e32. doi: 10.1016/j.diabres.2009.01.018. [DOI] [PubMed] [Google Scholar]
- 44.Mantyselka P., Miettola J., Niskanen L., Kumpusalo E. Glucose Regulation and Chronic Pain at Multiple Sites. Rheumatology. 2008;47:1235–1238. doi: 10.1093/rheumatology/ken220. [DOI] [PubMed] [Google Scholar]
- 45.Aldossari K.K., Shubair M.M., Al-Zahrani J., Alduraywish A.A., AlAhmary K., Bahkali S., Aloudah S.M., Almustanyir S., Al-Rizqi L., El-Zahaby S.A., et al. Association between Chronic Pain and Diabetes/Prediabetes: A Population-Based Cross-Sectional Survey in Saudi Arabia. Pain Res. Manag. 2020;2020:8239474. doi: 10.1155/2020/8239474. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Liberman O., Peleg R., Shvartzman P. Chronic Pain in Type 2 Diabetic Patients: A Cross-Sectional Study in Primary Care Setting. Eur. J. Gen. Pract. 2014;20:260–267. doi: 10.3109/13814788.2014.887674. [DOI] [PubMed] [Google Scholar]
- 47.Heuch I., Heuch I., Hagen K., Sørgjerd E.P., Åsvold B.O., Zwart J.-A. Does Diabetes Influence the Probability of Experiencing Chronic Low Back Pain? A Population-Based Cohort Study: The Nord-Trøndelag Health Study. BMJ Open. 2019;9:e031692. doi: 10.1136/bmjopen-2019-031692. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Gylfadottir S.S., Christensen D.H., Nicolaisen S.K., Andersen H., Callaghan B.C., Itani M., Khan K.S., Kristensen A.G., Nielsen J.S., Sindrup S.H., et al. Diabetic Polyneuropathy and Pain, Prevalence, and Patient Characteristics: A Cross-Sectional Questionnaire Study of 5,514 Patients with Recently Diagnosed Type 2 Diabetes. Pain. 2020;161:574–583. doi: 10.1097/j.pain.0000000000001744. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Gylfadottir S.S., Itani M., Kristensen A.G., Karlsson P., Krøigård T., Bennett D.L., Tankisi H., Andersen N.T., Jensen T.S., Sindrup S.H., et al. The Characteristics of Pain and Dysesthesia in Patients with Diabetic Polyneuropathy. PLoS ONE. 2022;17:e0263831. doi: 10.1371/journal.pone.0263831. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Hébert H.L., Veluchamy A., Torrance N., Smith B.H. Risk Factors for Neuropathic Pain in Diabetes Mellitus. Pain. 2017;158:560–568. doi: 10.1097/j.pain.0000000000000785. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Tao Y., Zhang H.Y., MacGilchrist C., Kirwan E., McIntosh C. Prevalence and Risk Factors of Painful Diabetic Neuropathy: A Systematic Review and Meta-Analysis. Diabetes Res. Clin. Pract. 2025;222:112099. doi: 10.1016/j.diabres.2025.112099. [DOI] [PubMed] [Google Scholar]
- 52.Shraim M.A., Sluka K.A., Sterling M., Arendt-Nielsen L., Argoff C., Bagraith K.S., Baron R., Brisby H., Carr D.B., Chimenti R.L., et al. Features and Methods to Discriminate between Mechanism-Based Categories of Pain Experienced in the Musculoskeletal System: A Delphi Expert Consensus Study. Pain. 2022;163:1812–1828. doi: 10.1097/j.pain.0000000000002577. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Dyer B.P., Rathod-Mistry T., Burton C., van der Windt D., Bucknall M. Diabetes as a Risk Factor for the Onset of Frozen Shoulder: A Systematic Review and Meta-Analysis. BMJ Open. 2023;13:e062377. doi: 10.1136/bmjopen-2022-062377. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Alabdali L.A.S., Jaeken J., van Alfen N., Dinant G.J., Borghans R.A.P., Ottenheijm R.P.G. What Is the Diagnosis in Patients with Type 2 Diabetes Who Have a Painful Shoulder? Results from a Prospective Cross-Sectional Study. J. Clin. Med. 2020;9:4097. doi: 10.3390/jcm9124097. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Bellary V., Shetty S., Bellary S., Rao N. A Study of Musculoskeletal Manifestations of Diabetes Mellitus and Their Association with HbA1C among Diabetic Patients. J. Diabetol. 2022;13:353. doi: 10.4103/jod.jod_91_22. [DOI] [Google Scholar]
- 56.Jin P., Xing Y., Xiao B., Wei Y., Yan K., Zhao J., Tian W. Diabetes and Intervertebral Disc Degeneration: A Mendelian Randomization Study. Front. Endocrinol. 2023;14:1100874. doi: 10.3389/fendo.2023.1100874. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Majjad A., Errahali Y., Toufik H., H Djossou J., Ghassem M.A., Kasouati J., Maghraoui A. El Musculoskeletal Disorders in Patients with Diabetes Mellitus: A Cross-Sectional Study. Int. J. Rheumatol. 2018;2018:3839872. doi: 10.1155/2018/3839872. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Abourazzak F.E., Akasbi N., Houssaini G.S., Bazouti S., Bensbaa S., Hachimi H., Ajdi F., Harzy T. Articular and Abarticular Manifestations in Type 2 Diabetes Mellitus. Eur. J. Rheumatol. 2019;1:132–134. doi: 10.5152/eurjrheumatol.2014.140050. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Ramchurn N., Mashamba C., Leitch E., Arutchelvam V., Narayanan K., Weaver J., Hamilton J., Heycock C., Saravanan V., Kelly C. Upper Limb Musculoskeletal Abnormalities and Poor Metabolic Control in Diabetes. Eur. J. Intern. Med. 2009;20:718–721. doi: 10.1016/j.ejim.2009.08.001. [DOI] [PubMed] [Google Scholar]
- 60.Louati K., Vidal C., Berenbaum F., Sellam J. Association between Diabetes Mellitus and Osteoarthritis: Systematic Literature Review and Meta-Analysis. RMD Open. 2015;1:e000077. doi: 10.1136/rmdopen-2015-000077. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Suzuki A., Yabu A., Nakamura H. Advanced Glycation End Products in Musculoskeletal System and Disorders. Methods. 2022;203:179–186. doi: 10.1016/j.ymeth.2020.09.012. [DOI] [PubMed] [Google Scholar]
- 62.Brinjikji W., Luetmer P.H., Comstock B., Bresnahan B.W., Chen L.E., Deyo R.A., Halabi S., Turner J.A., Avins A.L., James K., et al. Systematic Literature Review of Imaging Features of Spinal Degeneration in Asymptomatic Populations. Am. J. Neuroradiol. 2015;36:811–816. doi: 10.3174/ajnr.A4173. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Horga L.M., Hirschmann A.C., Henckel J., Fotiadou A., Di Laura A., Torlasco C., D’Silva A., Sharma S., Moon J.C., Hart A.J. Prevalence of Abnormal Findings in 230 Knees of Asymptomatic Adults Using 3.0 T MRI. Skelet. Radiol. 2020;49:1099–1107. doi: 10.1007/s00256-020-03394-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Aderibigbe A.S., Ayoola O.O., Kolawole B.A., Esan O. Clinical and Ultrasonographic Correlates of Knee Pain in Patients with Type 2 Diabetic Mellitus in a Nigerian Tertiary Hospital. West Afr. J. Med. 2025;42:372–378. [PubMed] [Google Scholar]
- 65.Barreto R.P.G., Braman J.P., Ludewig P.M., Ribeiro L.P., Camargo P.R. Bilateral Magnetic Resonance Imaging Findings in Individuals with Unilateral Shoulder Pain. J. Shoulder Elbow Surg. 2019;28:1699–1706. doi: 10.1016/j.jse.2019.04.001. [DOI] [PubMed] [Google Scholar]
- 66.Laslett L.L., Burnet S.P., A Jones J., Redmond C.L., McNeil J.D. Musculoskeletal Morbidity: The Growing Burden of Shoulder Pain and Disability and Poor Quality of Life in Diabetic Outpatients. Clin. Exp. Rheumatol. 2007;25:422–429. [PubMed] [Google Scholar]
- 67.Cox F. Patient-Reported Improvement in Pain with Pregabalin for Painful Diabetic Neuropathy and Postherpetic Neuralgia Is Promising but Needs Further Investigation. Evid. Based. Nurs. 2020;23:17. doi: 10.1136/ebnurs-2019-103091. [DOI] [PubMed] [Google Scholar]
- 68.Jena D., Sahoo J., Barman A., Behera K.K., Bhattacharjee S., Kumar S. Type 2 Diabetes Mellitus, Physical Activity, and Neuromusculoskeletal Complications. J. Neurosci. Rural Pract. 2022;13:705. doi: 10.25259/JNRP_11_2022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Finnerup N.B., Haroutounian S., Kamerman P., Baron R., Bennett D.L.H., Bouhassira D., Cruccu G., Freeman R., Hansson P., Nurmikko T., et al. Neuropathic Pain: An Updated Grading System for Research and Clinical Practice. Pain. 2016;157:1599–1606. doi: 10.1097/j.pain.0000000000000492. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Escolano-Lozano F., Buehling-Schindowski F., Kraemer H.H., Birklein F., Geber C. Painful Diabetic Neuropathy: Myofascial Pain Makes the Difference. Diabetes Care. 2022;45:E139–E140. doi: 10.2337/dc22-1023. [DOI] [PubMed] [Google Scholar]
- 71.Segerdahl A.R., Themistocleous A.C., Fido D., Bennett D.L., Tracey I. A Brain-Based Pain Facilitation Mechanism Contributes to Painful Diabetic Polyneuropathy. Brain. 2018;141:357–364. doi: 10.1093/brain/awx337. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Alamri A., Alharbi K., Hassan K., Alhakami S., Alosaimi M., Rofidi K., Ahmed I. Frequency of Neuropathic Sensory Symptoms Among Patients with Uncontrolled Diabetes Mellitus in Security Forces Hospital, Riyadh, Saudi Arabia. Cureus. 2021;13:e17528. doi: 10.7759/cureus.17528. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Algeffari M.A. Painful Diabetic Peripheral Neuropathy among Saudi Diabetic Patients Is Common but Under-Recognized: Multicenter Cross-Sectional Study at Primary Health Care Setting. J. Fam. Community Med. 2018;25:43–47. doi: 10.4103/jfcm.JFCM_145_16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Truini A., Spallone V., Morganti R., Tamburin S., Zanette G., Schenone A., De Michelis C., Tugnoli V., Simioni V., Manganelli F., et al. A Cross-Sectional Study Investigating Frequency and Features of Definitely Diagnosed Diabetic Painful Polyneuropathy. Pain. 2018;159:2658–2666. doi: 10.1097/j.pain.0000000000001378. [DOI] [PubMed] [Google Scholar]
- 75.Gore M., Brandenburg N.A., Hoffman D.L., Tai K.S., Stacey B. Burden of Illness in Painful Diabetic Peripheral Neuropathy: The Patients’ Perspectives. J. Pain. 2006;7:892–900. doi: 10.1016/j.jpain.2006.04.013. [DOI] [PubMed] [Google Scholar]
- 76.Themistocleous A.C., Ramirez J.D., Shillo P.R., Lees J.G., Selvarajah D., Orengo C., Tesfaye S., Rice A.S.C., Bennett D.L.H. The Pain in Neuropathy Study (PiNS): A Cross-Sectional Observational Study Determining the Somatosensory Phenotype of Painful and Painless Diabetic Neuropathy. Pain. 2016;157:1132–1145. doi: 10.1097/j.pain.0000000000000491. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Serban A.L., Udrea G.F. Rheumatic Manifestations in Diabetic Patients. J. Med. Life. 2012;5:252–257. [PMC free article] [PubMed] [Google Scholar]
- 78.Bell D.S.H. Diabetic Mononeuropathies and Diabetic Amyotrophy. Diabetes Ther. 2022;13:1715–1722. doi: 10.1007/s13300-022-01308-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Croosu S.S., Gjela M., Røikjer J., Hansen T.M., Mørch C.D., Frøkjær J.B., Ejskjaer N. Cognitive Function in Individuals with and without Painful and Painless Diabetic Polyneuropathy—A Cross-Sectional Study in Type 1 Diabetes. Endocrinol. Diabetes Metab. 2023;6:e420. doi: 10.1002/edm2.420. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Akintoye O.O., Owoyele V.B., Fabunmi O.A., Raimi T.H., Oniyide A.A., Akintoye A.O., Ajibare A.J., Ajayi D.D., Adeleye G.S. Diabetic Neuropathy Is Associated with Increased Pain Perception, Low Serum Beta-Endorphin and Increase Insulin Resistance among Nigerian Cohorts in Ekiti State. Heliyon. 2020;6:e04377. doi: 10.1016/j.heliyon.2020.e04377. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Granovsky Y., Shafran Topaz L., Laycock H., Zubiedat R., Crystal S., Buxbaum C., Bosak N., Hadad R., Domany E., Khamaisi M., et al. Conditioned Pain Modulation Is More Efficient in Patients with Painful Diabetic Polyneuropathy than Those with Nonpainful Diabetic Polyneuropathy. Pain. 2022;163:827–833. doi: 10.1097/j.pain.0000000000002434. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Raputova J., Rajdova A., Vollert J., Srotova I., Rebhorn C., Üçeyler N., Birklein F., Sommer C., Vlckova E., Bednarik J. Continuum of Sensory Profiles in Diabetes Mellitus Patients with and without Neuropathy and Pain. Eur. J. Pain. 2022;26:2198–2212. doi: 10.1002/ejp.2034. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Sierra-Silvestre E., Somerville M., Bisset L., Coppieters M.W. Altered Pain Processing in Patients with Type 1 and 2 Diabetes: Systematic Review and Meta-Analysis of Pain Detection Thresholds and Pain Modulation Mechanisms. BMJ Open Diabetes Res. Care. 2020;8:e001566. doi: 10.1136/bmjdrc-2020-001566. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Woolf C.J. Central Sensitization: Implications for the Diagnosis and Treatment of Pain. Pain. 2011;152:S2–S15. doi: 10.1016/j.pain.2010.09.030. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Knauf M.T., Koltyn K.F. Exercise-Induced Modulation of Pain in Adults with and Without Painful Diabetic Neuropathy. J. Pain. 2014;15:656–663. doi: 10.1016/j.jpain.2014.02.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Feldman E.L., Stevens M.J., Thomas P.K., Brown M.B., Canal N., Greene D.A. A Practical Two-Step Quantitative Clinical and Electrophysiological Assessment for the Diagnosis and Staging of Diabetic Neuropathy. Diabetes Care. 1994;17:1281–1289. doi: 10.2337/diacare.17.11.1281. [DOI] [PubMed] [Google Scholar]
- 87.Herman W.H., Pop-Busui R., Braffett B.H., Martin C.L., Cleary P.A., Albers J.W., Feldman E.L., The DCCT/EDIC Research Group Use of the Michigan Neuropathy Screening Instrument as a Measure of Distal Symmetrical Peripheral Neuropathy in Type 1 Diabetes: Results from the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications. Diabet. Med. 2012;29:937–944. doi: 10.1111/j.1464-5491.2012.03644.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Sadosky A., Mardekian J., Parsons B., Hopps M., Bienen E.J., Markman J. Healthcare Utilization and Costs in Diabetes Relative to the Clinical Spectrum of Painful Diabetic Peripheral Neuropathy. J. Diabetes Complicat. 2015;29:212–217. doi: 10.1016/j.jdiacomp.2014.10.013. [DOI] [PubMed] [Google Scholar]
- 89.Gómez-Banoy N., Cuevas V., Soler F., Pineda M.F., Mockus I. Screening Tests for Distal Symmetrical Polyneuropathy in Latin American Patients with Type 2 Diabetes Mellitus. Arch. Endocrinol. Metab. 2017;61:470–475. doi: 10.1590/2359-3997000000283. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Nunley K.A., Rosano C., Ryan C.M., Jennings J.R., Aizenstein H.J., Zgibor J.C., Costacou T., Boudreau R.M., Miller R., Orchard T.J., et al. Clinically Relevant Cognitive Impairment in Middle-Aged Adults with Childhood-Onset Type 1 Diabetes. Diabetes Care. 2015;38:1768–1776. doi: 10.2337/dc15-0041. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Palomo-Osuna J., Dueñas M., Naranjo C., De Sola H., Salazar A., Failde I. Factors Related to Cognitive Function in Type-2 Diabetes and Neuropathic Pain Patients, the Role of Mood and Sleep Disorders in This Relationship. Sci. Rep. 2022;12:15442. doi: 10.1038/s41598-022-18949-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Naranjo C., Ortega-Jiménez P., Del Reguero L., Moratalla G., Failde I. Relationship between Diabetic Neuropathic Pain and Comorbidity. Their Impact on Pain Intensity, Diabetes Complications and Quality of Life in Patients with Type-2 Diabetes Mellitus. Diabetes Res. Clin. Pract. 2020;165:108236. doi: 10.1016/j.diabres.2020.108236. [DOI] [PubMed] [Google Scholar]
- 93.Davoudi M., Rezaei P., Rajaeiramsheh F., Ahmadi S.M., Taheri A.A. Predicting the Quality of Life Based on Pain Dimensions and Psychiatric Symptoms in Patients with Painful Diabetic Neuropathy: A Cross-Sectional Prevalence Study in Iranian Patients. Health Qual. Life Outcomes. 2022;20:32. doi: 10.1186/s12955-022-01939-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Zelman D.C., Brandenburg N.A., Gore M. Sleep Impairment in Patients with Painful Diabetic Peripheral Neuropathy. Clin. J. Pain. 2006;22:681–685. doi: 10.1097/01.ajp.0000210910.49923.09. [DOI] [PubMed] [Google Scholar]
- 95.Gore M., Snyder-Chavis A., Tai K.S., Brandenburg N. Pain Severity Affects Functioning, Symptoms of Anxiety and Depression, and Sleep in Patients with Painful Diabetic Peripheral Neuropathy. Diabetes. 2004;53:A509–A510. [Google Scholar]
- 96.Mehrdad M., Azarian M., Sharafkhaneh A., Alavi A., Zare R., Rad A.H., Dalili S. Association Between Poor Sleep Quality and Glycemic Control in Adult Patients with Diabetes Referred to Endocrinology Clinic of Guilan: A Cross-Sectional Study. Int. J. Endocrinol. Metab. 2021;20:e118077. doi: 10.5812/ijem.118077. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Goedendorp M.M., Tack C.J., Steggink E., Bloot L., Bazelmans E., Knoop H. Chronic Fatigue in Type 1diabetes: Highly Prevalent but Notexplained by Hyperglycemia or Glucose Variability. Diabetes Care. 2014;37:73–80. doi: 10.2337/dc13-0515. [DOI] [PubMed] [Google Scholar]
- 98.Fishbain D., Gao J.R., Lewis J., Bruns D., Meyer L.J., Disorbio J.M. Examination of Symptom Clusters in Acute and Chronic Pain Patients. Pain Physician. 2014;17:E349-57. [PubMed] [Google Scholar]
- 99.Koga M., Shigetoh H., Tanaka Y., Morioka S. Characteristics of Clusters with Contrasting Relationships between Central Sensitization-Related Symptoms and Pain. Sci. Rep. 2022;12:2626. doi: 10.1038/s41598-022-06453-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Not applicable.



