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Rheumatic manifestations of COVID-19: a systematic review and meta-analysis

BMC Rheumatology volume 4, Article number: 65 (2020) Cite this article

Abstract

Background

Different proportions of musculoskeletal or autoimmune manifestations associated with COVID-19 have been reported in literature. We performed a systematic review and meta-analysis with the aim of assessing the prevalence of rheumatic manifestations in patients affected by COVID-19, as initial symptom or during disease course.

Methods

A database search was run on May 18th, 2020, using two distinct strategies. We were interested in the percentage of symptoms of potential rheumatologic interest observed in large population studies of COVID-19 cases, and in identifying uncommon autoimmune disorders described in patients with COVID-19. For manifestations individually reported, a meta-analysis was performed taking into consideration the proportion of COVID-19 patients presenting the symptom.

Results

Eighty eight original articles were included in the systematic review and 51 in the meta-analysis. We found pooled estimates of 19% for muscle pain and 32% for fatigue as initial symptom of COVID-19 presentation and, respectively, of 16 and 36% during the disease course. Only one article discussed arthralgia as unique symptom. Additionally, we found that vasculitis, chilblains, presence of autoantibodies commonly found in patients with rheumatic diseases, or autoimmune haematological and neurological disorders have all been reported in patients with COVID-19.

Conclusions

In conclusion, our review and meta-analysis emphasises that symptoms potentially leading to rheumatologic referral are common in patients with COVID-19. Therefore, COVID-19 is a new differential diagnosis to bear in mind when evaluating patients with musculoskeletal symptoms and rheumatologists might play a crucial role in identifying COVID-19 cases in early phases of the illness.

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Background

At the end of 2019 several cases of atypical pneumonia emerged in the Chinese province of Hubei and, in January 2020, severe acute respiratory virus 2 (SARS-CoV-2) was identified as the causative agent of the novel coronavirus disease 2019 (COVID-19) [1], representing the third major coronavirus infection of the twenty-first century after severe acute respiratory syndrome (SARS) [2] and Middle East respiratory syndrome (MERS) [3]. As of August 19, 2020, 22.173.973 confirmed cases and 781.756 deaths were reported globally (https://0-coronavirus-jhu-edu.brum.beds.ac.uk/map.html). Spreading from country to country, COVID-19 rapidly became a key priority for the whole scientific community. Growing and compelling evidence suggests that the manifestations of COVID-19 are protean, ranging from laboratory-confirmed asymptomatic infection to critical illness with rapidly progressive respiratory distress syndrome [4]. In symptomatic cases, current literature outlines how respiratory and constitutional symptoms are frequently reported [4]. The finding of signs and symptoms of COVID-19 extending beyond the respiratory tract can be explained, at least in part, by the ubiquitous expression and tissue distribution of angiotensin-converting enzyme 2 (ACE2), the major SARS-CoV-2 entry receptor [5]. In particular, ACE-2 is found also in bowel, endothelium of small vessels, smooth muscle, skeletal muscle and even synovial tissue [6]. It is therefore not unexpected that, besides cough and dyspnoea, COVID-19 patients often experience fever, fatigue, muscle pain, or arthralgia. However, some of the symptoms caused by COVID-19 are commonly described in other diseases and are frequently reported, for instance, also in patients with rheumatic conditions. Interestingly, the association between viral infections and rheumatic diseases is already well-recognised. Viruses can be direct etiologic agents of acute and chronic arthritis [7], and of different forms of vasculitis, both in children and adults [8]. Moreover, a role in the pathogenesis of systemic sclerosis [9] and of polymyalgia rheumatica or giant-cell arteritis [10] has been proposed. Although the causal relationship between a viral trigger and rheumatic diseases is well-known to rheumatologists, when patients with musculoskeletal complaints are evaluated, the identification of an infectious aetiology can be extremely complicated as findings are often equivocal. Since symptoms of potential rheumatologic interest have been frequently reported in COVID-19 patients, the new virus outbreak represents a previously unseen differential diagnosis to be henceforth taken into consideration. However, inconsistent percentages of musculoskeletal symptoms are reported in literature. The aim of the present systematic review and meta-analysis is to provide an updated estimate of the prevalence of clinical manifestations of potential rheumatologic relevance in COVID-19, emphasising how rheumatologists might play a crucial role in identifying cases of COVID-19 presenting with extra-respiratory symptoms.

Methods

Search strategy and study selection

The systematic review was performed on MedLine through PubMed search. Two search strings were built. The first string was primarily aimed at identifying large cohort studies or randomised controlled trials (RCTs) reporting clinical characteristics of patients affected by COVID-19. Additionally, to ensure no relevant references describing manifestations of potential rheumatologic interest were missed, we ran a second search using specific keywords referring to rheumatic symptoms possibly related to COVID-19, as suggested by a preliminary appraisal of currently available evidence.

First search string was: (“cohort” or “observational” or “retrospective” or “prospective” or “trial” or “cross-sectional”) and (“covid*” or “sars-cov-2” or “novel coronavirus” or “2019-ncov”) and (“symptom*” or “clinical features” or “clinical characteristic*”).

Second search string was: (“vasculitis” or “ulcer*” or “raynaud*” or “arthritis” or “acrocyanosis” or “chilblains” or “kawasaki” or “autoimmun*” or “autoantibodies” or “ana” or “anti nuclear” or “antiphospholipid” or “anca” or “citrullinated” or “rheumatoid factor”) and (“covid*” or “sars-cov-2” or “novel coronavirus” or “2019-ncov”).

No date restriction was applied and two investigators (J.C. and R.M.) worked independently to screen titles and abstracts of the literature retrieved up to 18th May 2020. Full-text evaluation was then performed, along with manual search of references to identify additional relevant papers. Disagreements were resolved through discussion with a third investigator (F.U.) when consensus could not be achieved. In drafting the final manuscript, we followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines [11].

Eligibility criteria

For the first search, on the basis of preliminary scouting of literature, we hypothesized a prevalence of musculoskeletal symptoms in COVID-19 of about 20%. Accordingly, we calculated a minimum sample size of 106 patients to estimate such proportion with 5% absolute precision and 80% confidence. On this basis, we decided to include in our systematic review and meta-analysis only studies reporting cohorts of at least 100 patients. The PICO (population, intervention, comparator, outcome) framework [12] was applied to build the search question and the inclusion/exclusion criteria. Publications written in a language other than English were excluded. All studies, published as peer-reviewed final articles and meeting the following criteria, were considered eligible:

  • Population: children or adult patients with diagnosis of COVID-19;

  • Intervention: assessment of clinical characteristics at onset of COVID-19 or during its evolution;

  • Comparator: the presence of a comparator was not considered necessary;

  • Outcomes: percentage of patients presenting symptoms of potential rheumatologic interest.

Data extraction and quality assessment

Data were extracted and summarized by the first author (J.C.) and revised by the second author (R.M.). From each selected article, the following features were reported: first author; year of publication; origin; study design; total number of patients; hospital or non-hospital setting; presence and type of manifestation of potential rheumatologic interest, at the onset of disease or during its evolution as overall prevalence.

Quality of the included studies was assessed using the Cochrane risk of bias tool [13] for randomized trials, the Newcastle-Ottawa scale [14] for non-randomized studies, and the Johanna-Briggs Institute critical appraisal tools [15] for case reports and case series.

Statistical analysis

A meta-analysis was performed to estimate the overall proportion of COVID-19 patients presenting with a clinical manifestation of potential rheumatologic interest. Considering the substantial heterogeneity expected, we adopted a random-effects model to pool data from included studies. Forest plots were used to graphically represent the effect size, which was the pooled prevalence of the clinical manifestation of interest, as initial symptom or during COVID-19 infection, at 95% confidence intervals. I2 was calculated to measure between-studies heterogeneity. Publication bias was assessed with Egger’s regression test after visual inspection of funnel plot [16]. In case of publication bias, the “trim and fill” method was used to re-calculate pooled estimates [17].

Results

The search strategy identified 512 articles from the first string and 307 from the second (Fig. 1a and b). Four additional papers were identified through manual search of references. Respectively from the first and the second search, 115 and 50 studies were considered potentially relevant for full text evaluation. Overall, the full article review identified 88 studies that proceeded to data extraction and analysis. Of these, 51 articles were included in the meta-analysis. Characteristics of the selected studies are shown in Table 1. Three RCTs were included and they were considered at moderate risk of bias (Table S1). Of the 59 articles evaluated through the Newcastle-Ottawa scale, 41 were rated of good quality, 10 of fair quality, and 8 of poor quality (Table S2). Finally, 15 case series and 11 case reports were deemed eligible after the application of Johanna-Briggs critical appraisal tools.

Fig. 1
figure 1

Flowchart of the article selection process from first (A) and second string (B)

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Table 1 Characteristics of the included studies
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Arthralgia in COVID-19

Redd et al. [18] reported a proportion of arthralgia at presentation of 2.5% in 318 COVID-19 patients, but this was the only study describing the prevalence of arthralgia as independent symptom. Six additional articles reported the presence of arthralgia, but always combined with myalgia. Therefore, we deemed the symptom “arthralgia” not suitable for meta-analysis.

Paderno et al. [19] showed that 9.4% of COVID-19 patients complained of arthromyalgia at disease onset, while the overall prevalence was 50.4%. Zhou et al. [20] reported that only 3.8% of 366 hospitalized patients had myalgia or arthralgia, while Chen et al. [21] described a proportion of 17.5% in 1338 patients. In a cohort of 203 hospitalized patients, Chen and colleagues [22] observed that myalgia or arthralgia were present in 26.6% of cases and, describing the characteristics of 535 hospitalized and non-hospitalized COVID-19 patients, Chen et al. [23] found arthralgia or myalgia in 29% of cases, whereas Mo et al. [24] reported a prevalence of 61%.

Myalgia in COVID-19

Thirty-three articles describing the proportion of COVID-19 patients experiencing myalgia were included in the meta-analysis. Of these, 7 explored myalgia at disease onset [18, 25,26,27,28,29,30] and 26 during COVID-19 evolution [31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56].

Pooled estimate of muscle pain as initial symptom was 0.187 (95% CI 0.119–0.282, p < 0.001) (Fig. 2). The I2 was calculated to be 95.2%. Visual inspection of funnel plot (Fig. S1) suggested potential publication bias. Hence, we applied the “trim and fill” method to adjust funnel plot asymmetry and correct the variance. Two studies were removed and, after the imputed fills were added, the adjusted point estimate remained unchanged.

Fig. 2
figure 2

Meta-analysis of muscle pain prevalence as initial symptom of COVID-19

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Pooled estimate of the prevalence of muscle pain in patients with COVID-19 was 0.156 (95% CI 0.116–0.206) (Fig. 3). The I2 was calculated to be 94.3%. Funnel plot is shown in Fig. S2. The “trim and fill” procedure excluded two studies and, filling the missing effect sizes, resulted in an adjusted value of 0.172 (95 CI 0.129–0.226).

Fig. 3
figure 3

Meta-analysis of muscle pain prevalence during the course of COVID-19

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Moreover, 4 additional papers reported the proportion of patients experiencing myalgia combined with fatigue. At disease onset the prevalence of both symptoms aggregated varied between 16.9% [57], 32.3% [58], and 48% [59]. Furthermore, Yao et al. [60] described a prevalence of 25.9% during the course of the illness.

Fatigue in COVID-19

Forty-seven articles describing the percentage of COVID-19 patients complaining of fatigue were included in the meta-analysis. Of these, 7 explored fatigue at disease onset [18, 25,26,27,28,29, 61] and 40 during its evolution [20,21,22,23,24, 31, 32, 34,35,36,37,38,39, 41,42,43,44,45,46,47,48, 50,51,52,53,54,55,56, 62,63,64,65,66,67,68,69,70,71,72,73].

Pooled estimate of fatigue as initial symptom was 0.317 (95% CI 0.198–0.464) (Fig. 4). An I2 of 97.4% was calculated. Visual inspection of funnel plot (Fig. S3) suggested no potential publication bias. Pooled estimate of prevalence of fatigue in patients with COVID-19 was 0.356 (95% CI 0.297–0.420) (Fig. 5). The I2 was 97.1%. No plot (Fig. S4) asymmetry was detected.

Fig. 4
figure 4

Meta-analysis of fatigue prevalence as initial symptom of COVID-19

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Fig. 5
figure 5

Meta-analysis of fatigue prevalence during the course of COVID-19

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Additionally, Garazzino et al. [74] and Lu et al. [75] reported prevalence of fatigue respectively of 1.8 and 3.6% in children affected by COVID-19. These latter studies were not included in the meta-analysis as the only ones not describing data of an adult population.

Vasculitis in COVID-19

We found 7 articles reporting the occurrence of vasculitis in COVID-19 patients. With the exception of the study by Menter et al. [76], all articles were case series or case reports describing only patients with vasculitis. Verdoni et al. [77] described an increased incidence of Kawasaki disease, a medium-sized-vessel vasculitis, after the appearance of SARS-CoV-2 in the Italian province of Bergamo. The authors reported data about 10 recently diagnosed patients (age range 2.9 to 16 years, mean age 7.5 ± 3.5 years) with Kawasaki vasculitis, 80% of them also having positive serology for SARS-CoV-2, and presenting with clinical and biochemical characteristics different from those observed in the historical Kawasaki cohort of that region. Other two cases of Kawasaki disease in paediatric age related to COVID-19 were shown by Rivera-Figueroa et al. [78] and by Jones et al. [79], while Menter et al. [76] described post-mortem findings of 21 adult COVID-19 patients revealing, in one case, florid vasculitis of pulmonary veins and capillaries. Moreover, Vanegas-Ramirez et al. [80] observed a skin rash and vasculitis in a 57-year-old COVID-19 patient, Castelnovo et al. [81] discussed 2 cases of cutaneous vasculitis in young COVID-19 patients, and Moeinzadeh et al. [82] reported the case of a 25-year-old COVID-19 patient presenting with glomerulonephritis and positive test for anti-neutrophilic cytoplasmic antibodies (ANCA).

Chilblains in COVID-19

We included 9 articles reporting the presence of chilblains in COVID-19. Galván-Casas et al. [83] presented data about the classification of lesions in acral areas of 375 COVID-19 patients, outlining a prevalence of 19% for the pseudo-chilblain pattern. Investigating 277 patients during the COVID-19 outbreak, De Masson et al. [84] described the presence of 106 chilblain lesions, although only 9% of patients had a positive test for SARS-CoV-2. Similarly, Kolivras et al. [85] observed, in a case report, a 23-year-old man of chilblains induced by COVID-19 and Cordoro et al. [86] reported a case series of 6 paediatric age patients with chilblains as cutaneous reaction to SARS-CoV-2. Colonna et al. [87] described in a case series the finding of chilblains in 4 children suspected for COVID-19, while Bouaziz et al. [88] reported chilblains in 2 of the 14 studied COVID-19 patients and Andina et al. [89] described the case series of 22 children presenting with chilblains during the COVID outbreak, although only one tested positive. Finally, Suarez-Valle et al. [90] and Alramthan et al. [91] described respectively 3 and 2 COVID-19 patients with acro-ischemic lesions.

Autoantibodies in COVID-19

We found 6 articles describing the presence of autoantibodies in patients with COVID-19. Zhou et al. [92] found a prevalence of 20% for anti-52 kDa SSA/Ro antibody, of 25% for anti-60 kDa SSA/Ro antibody and of 50% for antinuclear antibody in their cases. Zhang et al. [93] described a case series of three patients with positive antiphospholipid antibodies (aPL), and in particular anticardiolipin IgA, anti-β2-glycoprotein I IgA and IgG. Out of 24 cases, Galeano-Valle et al. [94], studying 24 patients hospitalized with COVID-19 and venous thromboembolism, found 2 patients weakly positive for anticardiolipin IgM and anti–β2-glycoprotein I IgM, while anticardiolipin IgG and anti–β2-glycoprotein I IgG were negative in all patients. Harzallah et al. [95] studied 56 COVID-19 cases showing that 45% were lupus anticoagulant (LAC) positive whereas in 10% anticardiolipin or anti–β2-glycoprotein I IgG and IgM were detected. Similarly, Bowles et al. [96] found a positive LAC in 91% of the 35 studied COVID-19 patients with prolonged activated partial-thromboplastin time (aPTT). Moreover, in a small case series, Beyrouti et al. [97] reported that 5 of 6 patients had a positive LAC, one with medium-titre IgM anticardiolipin and low-titre IgG and IgM anti-β2-glycoprotein1 antibodies.

Haematological manifestations of COVID-19 of potential rheumatologic interest

We retrieved 5 articles assessing haematological manifestation of COVID-19 of potential rheumatologic interest. All articles were case series or case reports describing only patients with the specific haematological conditions. Lazarian et al. [98] and Lopez et al. [99] showed the occurrence of autoimmune haemolytic anaemia respectively in 7 and 1 patients affected by COVID-19. Bomhof et al. [100] found three cases of immune-mediated thrombocytopenia related to COVID-19 while Zulfiqar et at [101]. observed the occurrence of immune thrombocytopenic purpura in a patient with COVID-19 and Li et al. [102] reported a patient with Evans syndrome, which is characterized by a combination of autoimmune haemolytic anaemia and immune thrombocytopenia.

Neurological manifestations of COVID-19 of potential rheumatologic interest

Three articles describing neurological manifestations of COVID-19 of potential rheumatologic interest were included. All articles were case series or case reports describing only patients with the specific neurological conditions. Six cases of autoimmune encephalitis were reported by Dogan et al. [103] and an additional case was presented by Pilotto et al. [104]. Moreover, Sedaghat et al. [105] described the case of a COVID-19 patient developing Guillain-Barre syndrome.

Discussion

We performed a systematic review and meta-analysis with the aim of assessing the occurrence of rheumatic manifestations in patients affected by COVID-19. The recent SARS-CoV-2 pandemic resulted in an exceptional literature contribution; therefore, we were able to include in our review 88 original references, all published as final, peer-reviewed articles, in the last few weeks. Unfortunately, we retrieved only one article describing the prevalence of arthralgia as discrete symptom at disease onset, while 6 additional studies showed the prevalence of arthralgia combined with myalgia, with percentages ranging from 3.8% [20] to 61% [24].

Our meta-analysis shows that muscle pain and fatigue are present respectively in 19 and 32% of patients as initial presentation of COVID-19, while the overall prevalence estimates are 16 and 36% throughout the course of the illness. Moreover, we found additional studies focusing on less common musculoskeletal or autoimmune manifestations of COVID-19, of potential interest for the rheumatologist. Vasculitis, chilblains, presence of autoantibodies commonly found in patients with rheumatic diseases, or autoimmune haematological and neurological disorders have all been reported in patients with COVID-19, although evidence from large cohort studies is still lacking.

Focusing the attention on the only two items we were able to meta-analyse in our review, it is crucial to point out how muscle pain and fatigue are among the most frequent complains in patients with rheumatic diseases. For instance, muscle pain is reported in 16% of patients with rheumatoid arthritis [106] and in up to 100% of polymyalgia rheumatica cases [107], not necessarily accompanied by stiffness [106]. Similarly, 30–35% of patients with dermatomyositis/polymyositis [108, 109] have myalgia, but the proportion rises to 74% in newly diagnosed cases [109]. Comparable figures were observed by Noda et al. [110], with 71% of patients with dermatomyositis and 25% with polymyalgia rheumatica complaining of muscle pain. However, myalgia is a highly-reported symptom even in other connective tissue diseases. In systemic sclerosis, the frequency of muscle pain varies from 20 to 86% [111, 112] and it is between 40 and 80% in systemic lupus erythematosus [113]. In vasculitis, 48% of patients with microscopic polyangitis have been reported to complain of muscle pain [114], while different cases of myalgia as initial symptom of polyarteritis nodosa [115] or of ANCA-associated vasculitis [116] have been described. Moreover, malaise or fatigue are reported in about 30% of patients with polymyalgia rheumatica [107] and 42–69% of people with rheumatoid arthritis [117]. In an international survey including over 6000 participants [118], patients with rheumatoid arthritis, systemic lupus erythematosus, ankylosing spondylitis, Sjögren’s syndrome, psoriatic arthritis, or systemic sclerosis, presented severe fatigue in 41 to 57% of cases. Even higher figures were observed in systemic sclerosis by Richards et al., with 75% of patients complaining of fatigue [119], or in systemic lupus erythematosus, where fatigue was identified as one of the primary symptoms in 53–80% of patients [120]. Similarly, in ANCA-associated vasculitis, fatigue is considered a common symptom, reported in 75% of patients [121]. Finally, Grayson et al. assessed fatigue through a dedicated scale, the “multidimensional fatigue inventory 20”, in 692 patients with 9 different forms of systemic vasculitis, observing that 76% of cases had a score > 13, indicative of severe fatigue [122].

Arthralgia, myalgia and fatigue are the most common symptoms leading to referral of patients to a rheumatologist. As outlined by our systematic review and meta-analysis, 19% of COVID-19 cases might present muscle pain as initial symptom, while 32% might present fatigue. It is therefore conceivable that, especially for individuals with non-specific or mild complaints and without respiratory distress, a proportion of COVID-19 patients might be referred to the rheumatologist early in the disease course. Rheumatologists should hereafter bear in mind COVID-19 as a possible differential diagnosis.

However, some limitations must be considered. Although we were able to include a considerable number of studies in our review, knowledge about COVID-19 is a rapidly evolving process and the global pandemic represents a constantly expanding field of research, with new data contributed daily. As such, our work provides preliminary information, that will need to be implemented and confirmed by forthcoming research. In this view, future studies with longitudinal follow-up of COVID-19 patients would provide useful data for a research agenda which, in our opinion, should address the following issues: (a) geographical differences in prevalence and characteristics of COVID-19 manifestations of potential rheumatologic interest; (b) clinical persistence and evolution of symptoms as arthralgia, myalgia and fatigue after resolution of the acute infection; (c) need for long-term follow-up and, where appropriate, treatment of COVID-19 manifestations of potential rheumatologic interest; (d) monitoring patients for possible late-onset post-infective complications of potential rheumatologic interest.

A second limitation of our study is for instance the geographic origin of the included literature. The majority of retrieved articles were contributed from a single country, China, consistently with the first identification site of the novel coronavirus and the consequent interest of the Chinese scientific community towards the outbreak, but representing a source of bias and preventing the possibility to confidently generalize our findings to other populations, particularly of non-Asian ancestry. Besides that, evidence from non-hospitalized patients was limited and the clinical characteristics of cases with different disease severity were not homogeneously reported. As a result, we could not perform meta-regression or subgroup analysis to evaluate the effect of different setting of COVID-19 care or the peculiarities between critically-ill and mildly diseased patients. Finally, arthralgia as a unique symptom was poorly represented and we could not meta-analyse it.

Conclusions

In conclusion, our systematic review and meta-analysis suggests that symptoms of potential rheumatologic interest are frequently reported in COVID-19, both at onset or throughout the disease course. Accordingly, as implication for clinical practice, we would raise the awareness on the possibility that the new global threat might show up in the rheumatology office.

Availability of data and materials

All relevant data are reported within the manuscript or in the cited references.

Abbreviations

SARS-CoV-2:

Severe acute respiratory virus 2

COVID-19:

Coronavirus disease 2019

SARS:

Severe acute respiratory syndrome SARS

MERS:

Middle East respiratory syndrome

ACE2:

Angiotensin-converting enzyme 2

RCTs:

Randomised controlled trials

PRISMA:

Preferred Reporting Items for Systematic Reviews and Meta-Analyses

ANCA:

Anti-neutrophilic cytoplasmic antibodies

aPL:

Antiphospholipid antibodies

LAC:

Lupus anticoagulant

aPTT:

Activated partial-thromboplastin time

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Authors and Affiliations

  1. Medicine & Rheumatology Unit, IRCCS Istituto Ortopedico Rizzoli (IOR), via Pupilli 1, 40136, Bologna, Italy

    Jacopo Ciaffi, Riccardo Meliconi & Francesco Ursini

  2. Department of Biomedical and Neuromotor Sciences (DIBINEM), Section of Rheumatology, University of Bologna, Bologna, Italy

    Riccardo Meliconi & Francesco Ursini

  3. Rheumatology Unit, Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, L’Aquila, Italy

    Piero Ruscitti, Onorina Berardicurti & Roberto Giacomelli

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Contributions

J.C.: conception and design of the work, interpretation of data, analysis of the results, drafting and revision of the manuscript. R.M.: conception and design of the work, interpretation of data, analysis of the results, drafting and revision of the manuscript. P.R.: conception and design of the work, interpretation of data, analysis of the results, drafting and revision of the manuscript. O.B.: conception and design of the work, interpretation of data, analysis of the results, drafting and revision of the manuscript. R.G.: conception and design of the work, interpretation of data, analysis of the results, drafting and revision of the manuscript. F.U.: conception and design of the work, interpretation of data, analysis of the results, drafting and revision of the manuscript. The authors have read and approved the manuscript.

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Correspondence to Jacopo Ciaffi.

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Supplementary information

Additional file 1 Table S1.

Quality assessment of randomized clinical trials. Table S2. Quality assessment of observational studies. Figure S1. Funnel plot. Meta-analysis of muscle pain as presenting symptom of COVID-19. Figure S2. Funnel plot. Meta-analysis of muscle pain prevalence during the course of COVID-19. Figure S3. Funnel plot. Meta-analysis of fatigue as presenting symptom of COVID-19. Figure S4. Funnel plot. Meta-analysis of fatigue prevalence during the course of COVID-19.

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Ciaffi, J., Meliconi, R., Ruscitti, P. et al. Rheumatic manifestations of COVID-19: a systematic review and meta-analysis. BMC Rheumatol 4, 65 (2020). https://0-doi-org.brum.beds.ac.uk/10.1186/s41927-020-00165-0

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BMC Rheumatology

ISSN: 2520-1026

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