Literature DB >> 32922946

The prevalence of freezing of gait in Parkinson's disease and in patients with different disease durations and severities.

Hong-Liang Ge1, Xiao-Yong Chen1, Yuan-Xiang Lin1, Ting-Juan Ge2, Liang-Hong Yu1, Zhang-Ya Lin1, Xi-Yue Wu1, De-Zhi Kang1, Chen-Yu Ding1.   

Abstract

BACKGROUND: The prevalence rates of freezing of gait (FOG) in Parkinson's disease (PD) vary widely, ranging from 14.0 to 55.1%. Our aim is to calculate the overall prevalence of FOG in all PD patients with different disease durations and severities.
METHODS: Using Medline/PubMed/Embase, we carried out a systematic literature search for studies reporting the PD and clinically relevant FOG.
RESULTS: After primary screening, a total of 35 studies were identified and further analyzed for inclusion into the analysis, and 29 studies fulfilled the quality criteria and included in this meta-analysis. The overall prevalence of FOG in PD was 39.9% (95% CI 35.3-44.5%). The FOG identified by the freezing of gait questionnaire item 3 may be more prevalent (43.8%, 95% CI 38.5-49.1%) than the FOG identified by the Unified Parkinson's Disease Rating Scale item 14 (36.0%, 95% CI 29.0-43.1%). Disease duration and severity are both the clinical features associated with the FOG. The highest FOG prevalence rate in PD patients was seen in patients with disease durations ≥ 10 years, at 70.8%, followed that of PD patients with disease durations ≥ 5 years (53.3%), and PD patients with disease durations < 5 years (22.4%). FOG presented in 28.4% of PD patients with Hoehn and Yahr staging (H&Y) score ≤ 2.5, and in 68.4% of PD patients with H&Y score ≥ 2.5.
CONCLUSION: This meta-analysis confirms that the prevalence of FOG in PD is considerable, and highlights the need for accurate identification of FOG in PD.
© The Author(s) 2020.

Entities:  

Keywords:  Freezing; Gait; Parkinson disease; Prevalence

Year:  2020        PMID: 32922946      PMCID: PMC7398304          DOI: 10.1186/s41016-020-00197-y

Source DB:  PubMed          Journal:  Chin Neurosurg J        ISSN: 2057-4967


Background

Parkinson’s disease (PD) is a neurodegenerative disease primarily characterized by rigidity, bradykinesia, and resting tremor; however, the freezing of gait (FOG) is also a common and disabling symptom in PD [1-3]. FOG is characterized by sudden and brief episodes of inability to produce effective forward stepping [4-6]. Therefore, FOG proposes major risks for falls, and leading to disability to patients, making the efficient identification of it important [7]. Although FOG is common in PD, it has not been extensively studied. The prevalence of FOG in PD patients that are reported in the literature vary widely, ranging from 14.0 to 55.1% [8, 9]. Up to 86.5% of advanced PD patients experience FOG [10], and up to 37.8% of early PD patients have the FOG as defined by a validated scale [11]. The different rates reported could be caused by the way the FOG is diagnosed, the nature of the PD patients being studied, the date of study conducted, the quality of studies, and the geographical region. Given this background, the present meta-analysis aims to calculate the overall prevalence of FOG in all PD patients, and to calculate the FOG prevalences in PD patients with different disease durations and severities.

Methods

Search strategy

This meta-analysis was performed according to PRISMA guideline [12]. A systematic literature search was carried out using databases Medline/PubMed/Embase. The entire time scale was used up to April 23, 2019. To include all actual literature on FOG in PD, we used the following terms: “freezing” or “gait” or “frozen” or “FOG” in combination with “Parkinson”. Pubmed was searched by text keywords and Medical Subject Heading terms. Embase was searched by Emtree and text words. Our results were limited to the humans and English language literature.

Quality assessment

The reliability of the literature was assessed with the modified quality assessment of diagnostic accuracy studies (QUADAS) tool, which is an efficient quality assessment system [13, 14] and was previously used to determine the prevalence of anxiety [15] and pain [16] in PD. Ten independent scores are included in the criteria used to evaluate the quality of the included studies using the modified QUADAS tool (Table 1). The score ranges from 0 to 19 points, with > 13 points (corresponds to 75% of the highest score) being the cut-off level of methodological acceptability [15, 16]. The studies were independently reviewed by 2 authors (HLG and XYC). In case of discrepancies between the raters, a decision was made after reassessment by the corresponding authors (CYD).
Table 1

Modified quality assessment of diagnostic accuracy studies tool: quality criteria for prevalence studies

SortsSubsortsQuality criteria
AThe final sample should be representative of the target population
1At least 1 of the following should apply for the study (2 points)
 – An entire target population
 – Randomly selected sample
 – Sample stated to represent the target population
2At least one of the following (2 points)
 – Reasons for nonresponders described
 – Nonresponders described
 – Comparison of responders and nonresponders
 – Comparison of sample and target population
3Response rate > 90% (2 points)
 Response rate 70% to 90% (1 point)
 Response rate ≤ 70% (0 points)
BQuality of data
4Were the data primary from a prevalence study (2 points) or was it taken from a survey not specifically designed for that purpose (1 point)?
5The same mode of data collection should be used for all subjects (2 points), if not: 1 point
6– The data have been collected directly from the patient by means of a validated questionnaire/interview (3 points)
 – No validated questionnaire/interview patients (2 points)
 – Data have been collected from proxies or retrospectively from medical record (1 point).
CGeneral description of the method and results should include:
7Description of target population and setting where patients were found (2 points)
8Description of stage of disease, sex, age (all 2 points, 1 or 2: 1 point)
9Final sample size (1 point)
DDefinition of FOG prevalence
10Prevalence recall periods should be stated (1 point)
Modified quality assessment of diagnostic accuracy studies tool: quality criteria for prevalence studies

Data extraction and validity assessment

Two authors (HLG and XYC) independently reviewed the full texts of the selected studies. Any disagreement between the two reviewers was resolved by the verdict of the corresponding authors (CYD). The interested variables included the clinical settings, prevalence rates of FOG, sample sizes, the scale used to diagnose the FOG, disease durations, and disease severities. The disease severity was measured by the Hoehn and Yahr staging (H&Y) scale. Higher score in H&Y corresponds to increased severity [17, 18]. The diagnostic criteria of FOG varied across studies. Authors of different studies chose the diagnostic criteria of FOG based on their own experiences. For this analysis, we followed the criteria stated by the authors of the selected studies.

Heterogeneity and statistical analyses

The statistical heterogeneity was calculated using the chi-square (Chi2) test at 10% significant level. If the value was > 50%, a random-effect model was used. Otherwise, a fixed-effect model was adopted. The random-effects model should be used because these studies had a high heterogeneity [19, 20]. Sub-group analysis and visual inspection of the data were performed to further investigate potential sources of heterogeneity. Chi-square test and hypothesis testing were used to compare the prevalence of objectively diagnosed FOG with subjectively diagnosed one. Considering the different statistical weights of the paper selected, we conducted a forest plot to solve this problem. Meta-analysis was executed with STATA (version 12.0, Stata Corporation, College Station, TX, USA) to obtain the overall prevalence of FOG in PD. After estimating the overall FOG prevalence in PD patients, articles were first assessed for FOG prevalence based on the different diagnostic criteria then in PD patients with different disease duration, and lastly in PD patients with different disease severities.

Results

Description of included studies

We used the following terms: “freezing” or “gait” or “frozen” or “FOG” in combination with “Parkinson”, which revealed 4500 articles after removing duplicates. Subsequently, the abstracts of these articles were read, reviews, and studies with only deep brain stimulation patients and unclear criteria for the diagnosis of FOG were excluded. All potential studies reporting the prevalence of FOG in PD patients were then read in full for eligibility and 188 articles were excluded for the following reasons: prevalence of FOG in PD was not mentioned (n = 94), there may be an insufficient description of a random or consecutive design of patient recruitment (n = 51), the publications stemmed from the same database or duplicate articles (n = 31), the population included had only neuroleptic-induced PD or PD with only dual-task difficulties (n = 4), or the full text was not found (n = 8). The remaining 35 studies were included in the qualitative analysis (Fig. 1).
Fig. 1

PRISMA 2009 flow diagram

PRISMA 2009 flow diagram Of the total of 35 studies included in the qualitative analyses, 16 focused on the FOG as a primary objective and the remaining studies reported FOG as a secondary outcome. Twenty-nine studies (82.9%) were further analyzed as they met the cut-off score of 14 points on the QUADAS tool [8–11, 21–46]. All included studies were conducted after the year 2000, with approximately 72.4% of the articles published in the past 5 years, which likely reflects the increasing awareness in the past decade of FOG in PD. Of the 29 studies meeting the quality criteria, 11 studies included patients from Europe, 8 from the USA, 4from Australia, 2 from China, and 4 from Israel. The overview of the studies included in this meta-analysis is illustrated in Table 2, and the prevalence of FOG reported in these studies is shown in Table 3.
Table 2

Overview of the studies included in this meta-analysis

StudyCountrySample sizeQuality scoreIdentification of FOGAge (years)Disease duration (years)H&Y
Margolesky et al [36]United States10219freezing of gait was self-reported68.0 ± 10.05.3 ± 4.81-4
Mckay et al [46]United States6518FOG-Q item 3 > 1 or UPDRS item 14 > 168 ± 107.3 ± 5.61-3
Mancini et al [40]Israel9416new FOG-Q part I = freezer65.4 ± 9.7 for non-freezers; 64.2 ± 8.8 for freezers4.9 ± 2.8 for non-freezers; 7.6 ± 4.4 for freezers2.4 ± 0.5 for non-freezers; 3.2 ± 0.8 for
Djaldetti et al [37]Israel4114UPDRS item 14 > 163.5 ± 9.99.5 ± 3.21-3
Ehgoetz Martens et al [38]Australia22115FOG-Q item 3 ≥ 165.4 ± 9.8 for non-freezers; 70.8 ± 9.4 for transitional freezers; 70.2 ± 10.9 for continuing freezers3.2 ± 4.3 for non-freezers; 6.0 ± 4.1 for transitional freezers; 9.7 ± 7.5 for continuing freezersND
Kader et al [44]Sweden24316FOG-Q item 3 ≥ 170 ± 9.28 (1–43)a3 (2–3) a
Sutter et al [45]United States11116new FOG-Q item 1 > 066.5 ± 1.74.0 (2.0-8.0)a1-4
Forsyth et al [43]Australia8216new FOG-Q66.5 ± 7.67.5 ± 5.72.0 ± 0.7
Ricciardi et al [41]Italy4315new FOG-Q item 1 > 068.0 ± 11.65.3 ± 5.4 for non-freezers; 9.5 ± 5.8 for freezersND
Vervoort et al [42]Belgium7616new FOG-Q or FOG occurrence in the lab60.6 ± 10.06.8 ± 4.62.1 ± 0.5
Shin et al [35]United states14114freezing of gait was self-reported69.7 ± 8.216.34 ± 4.84ND
Allen et al [21]Australia23114freezing of gait was self-reported70.6 ± 8.87.9 ± 5.9ND
Amboni et al [11]Italy59319FOG-Q item 3 ≥ 166.1 ± 9.7 for non-freezers; 67.5 ± 8.7 for freezers6.1 ± 3.8 for non-freezers; 9.8 ± 4.8 for freezers1-5
Forsaa et al [22]Norway23217UPDRS item 14 ≥ 164.9 (28.2-86.0) b8.6 ± 5.71-5
Gazibara et al [23]Serbia30017new FOG-Q item 1 > 061.4 (22–83)b0.5-301-4
Lieberman et al [24]United States21214UPDRS item 14 ≥ 2NDAll patients < 51-5
Lindholm et al [25]Sweden14115FOG-Q item 3 ≥ 168 ± 9.74 ± 3.91-5
Walton et al [26]Australia20315FOG-Q item 3 ≥ 166.77 ± 8.95.1 ± 5.11-3
Bohnen et al [8]United States14314MDS-UPDRS item 3.11 ≥ 165.5 ± 7.46.0 ± 4.32.4 ± 0.5
Ou et al [27]China47416FOG-Q item 3 ≥ 162.09 ± 10.554.77 ± 4.041-5
Perez-Lloret et al [28]French67219UPDRS item 14 ≥ 150.7% patients ≥6850.7% patients > 51-5
Auyeung et al [10]China17117sudden and transient blocks of movement while walking62.2 ± 10.6All patients > 101.5-5
Contreras et al [29]Spain16016FOG-Q item 3 ≥ 172.0 ± 9.58.1 ± 6.42.6 ± 1.0
Garcia-Ruiz et al [30]Spain4515sudden and transient blocks of movement while walking58.5 ± 10.2a follow-up study of new-onset PD
Josiah et al [31]United States91614UPDRS item 14 ≥ 167.1 ± 11.06.6 ± 6.0ND
Coelho et al [32]Spain and Portugal5015ND74.1 ± 7.017.9 ± 6.34-5
Moore et al [9]Israel11816FOG-Q item 3 ≥ 165.8 ± 10.28.5 ± 5.82.7 ± 0.8
Giladi et al [33, 34]United States80015UPDRS item 14 ≥ 161.1 ± 9.52.1 ± 1.31-2
Giladi et al [33, 34]Israel17216feet get glued to the ground was self-reported58.3 ± 13.211.8 ± 5.61-5

H&Y Hoehn and Yahr staging, FOG-Q freezing of gait questionnaire, UPDRS unified Parkinson’s disease rating scale, MDS-UPDRS movement disorder society revised Unified Parkinson’s Disease Rating Scale, PD Parkinson’s disease, ND no data

amedian (q1-q3)

bmean (range)

Table 3

The prevalence of FOG in Parkinson’s disease reported in these literatures

StudyFOG, % ( n of freezer/n of PD patients)
In general PD patientsDuration < 5 yearsDuration ≥ 5 yearsDuration ≥ 10 yearsH&Y ≤ 2.5H&Y > 2.5
Margolesky et al [36]26.5% (27/102)
Mckay et al [46]40.0% (26/65)c33.3% (15/45)55.0% (11/20)
Mancini et al [40]26.6% (25/94)a
Djaldetti et al [37]34.8% (15/41)34.8% (15/41)
Ehgoetz Martens et al [38]41.6% (92/221)
Kader et al [44]56.8% (138/243)a
Sutter et al [45]41.4% (46/111)a37.0% (34/92)63.2% (12/19)
Forsyth et al [43]39.0% (30/82)a
Ricciardi et al [41]55.8% (24/43)*
Vervoort et al [42]22.4% (17/76)a
Shin et al [35]38.6% (54/141)29.2% (21/73)48.4% (31/64)59.1% (13/22)
Allen et al [21]49.4% (114/231)
Amboni et al [11]54.8% (325/593)a27.4% (48/175)65.8% (271/412)78.3% (148/189)35.3% (124/351)82.9% (194/234)
Forsaa et al [22]27.2% (63/232) b62.5% (145/232)
Gazibara et al [23]36.7% (110/300)
Lieberman et al [24]12.7% (27/212)
Lindholm et al [25]41.1% (58/141)a
Walton et al [26]42.4% (86/203) a
Bohnen et al [8]14.0% (20/143)
Ou et al [27]46.6% (221/474) a36.1% (108/299)64.6% (113/175)33.5% (115/343)82.2% (106/129)
Perez-Lloret et al [28]38.2% (257/672) b25.4% (85/335)51.0% (172/337)31.5% (174/553)60.0% (150/250)
Auyeung et al [10]86.5% (148/171)
Contreras et al [29]44.4% (71/160)a
Garcia-Ruiz et al [30]4.4% (2/45)44.4% (20/45)68.9% (31/45)
Josiah et al [31]41.5% (380/916)b
Coelho et al [32]62.0% (31/50)62.0% (31/50)
Moore et al [9]55.1% (65/118) a
Giladi et al (2001)7.1% (57/800)
Giladi et al (2001)53.5% (92/172)22.2% (10/45)63.8% (81/127)

FOG-Q freezing of gait questionnaire, UPDRS unified Parkinson’s disease rating scale, MDS-UPDRS movement disorder society revised Unified Parkinson’s Disease Rating Scale, FOG freezing of gait, PD Parkinson’s disease, H&Y Hoehn and Yahr staging

aAccording to the FOG-Q and new FOG-Q

bAccording to UPDRS and MDS-UPDRS

cAccording to the FOG-Q or UPDRS

Overview of the studies included in this meta-analysis H&Y Hoehn and Yahr staging, FOG-Q freezing of gait questionnaire, UPDRS unified Parkinson’s disease rating scale, MDS-UPDRS movement disorder society revised Unified Parkinson’s Disease Rating Scale, PD Parkinson’s disease, ND no data amedian (q1-q3) bmean (range) The prevalence of FOG in Parkinson’s disease reported in these literatures FOG-Q freezing of gait questionnaire, UPDRS unified Parkinson’s disease rating scale, MDS-UPDRS movement disorder society revised Unified Parkinson’s Disease Rating Scale, FOG freezing of gait, PD Parkinson’s disease, H&Y Hoehn and Yahr staging aAccording to the FOG-Q and new FOG-Q bAccording to UPDRS and MDS-UPDRS cAccording to the FOG-Q or UPDRS A total of 22 studies included both early and advanced PD was used to calculate the overall estimated mean prevalence of FOG in all PD patients. Of these 22 studies, 13 reported FOG according to the freezing of gait questionnaire item 3 (FOG-Q item 3); 3 reported FOG according to the Unified Parkinson’s Disease Rating Scale item 14 (UPDRS item 14); and 5 reported FOG according to other criteria (3 were self-reported); and 1 reported FOG according to FOG-Q item 3 or UPDRS item 14. The remaining 7 studies included patients with the limitation in disease duration or disease severity. They were accepted in the supplemental analysis performed based on the disease durations and disease severities of PD patients.

Prevalence of FOG

Overall, 39.9% (95%CI 35.3-44.5%) in a total of 5361 PD patients experienced FOG. The FOG identified by the FOG-Q item 3 might be more prevalent (43.8%, 95%CI 38.5-49.1%) than FOG identified by the UPDRS item 14 (36.0%, 29.0-43.1%) (Table 4, Fig. 2). In addition, the prevalence of FOG identified by objectively diagnostic criteria did not have a statistical difference with subjectively diagnosed one (40.2%, 95% CI 35.1-45.2% vs 38.4%, 95% CI 25.2-51.6%, P = 0.442) (Table 4).
Table 4

The weighted prevalence of FOG in Parkinson’s disease patients and the heterogeneities

Prevalence of FOGNumber of studiesTotal no. PD patientsRange of the prevalence of FOG, %Mean prevalence of FOG (95% CI) ,%Heterogeneity, % (P value)
In general PD patients22536114.0-56.839.9 (35.3-44.5)91.5% (< 0.001)
 According to FOG-Q item 313255922.4-56.843.8 (38.5-49.1)85.9% (< 0.001)
 According to UPDRS item 143182027.2-41.536.0 (29.0-43.1)89.1% (< 0.001)
 According to other criteria698214.0-49.434.1 (22.8-45.4)93.3% (< 0.001)
In PD patients with objectively or subjectively diagnostic criteria
 Objectively19488714.0-56.840.2(35.1-45.2)92.2% (< 0.001)
 Subjectively347426.5-49.438.4(25.2-51.6)88.8% (< 0.001)
In PD patients with different disease durations
 < 5 years611394.4-36.122.4 (12.8-31.9)93.9% (< 0.001)
 ≥ 5 years7124634.8-65.853.3 (45.8-60.8)84.1% (< 0.001)
 ≥ 10 years670959.1-86.570.8 (60.8-80.9)88.2% (< 0.001)
In PD patients with different H&Y stagings
 ≤ 2.5722297.1-37.028.4 (15.7-41.1)97.9% (< 0.001)
 > 2.5782960.0-82.968.4 (58.7-78.2)88.4% (< 0.001)

FOG-Q freezing of gait questionnaire, UPDRS unified Parkinson’s disease rating scale, FOG freezing of gait, PD Parkinson’s disease, H&Y Hoehn and Yahr staging

Fig. 2

The prevalence of FOG identified by objectively diagnostic criteria

The weighted prevalence of FOG in Parkinson’s disease patients and the heterogeneities FOG-Q freezing of gait questionnaire, UPDRS unified Parkinson’s disease rating scale, FOG freezing of gait, PD Parkinson’s disease, H&Y Hoehn and Yahr staging The prevalence of FOG identified by objectively diagnostic criteria For the prevalence rates of FOG in PD patients with different disease durations (0-5 years, ≥ 5 years, or ≥ 10 years), FOG is most frequently seen in patients with disease duration ≥ 10 years, at a prevalence rate of 70.8%, followed by patients with disease duration ≥ 5 years (53.3%), and in patients with disease duration < 5 years (22.4%). In terms of the level of severity, FOG presented in 28.4% of PD patients with H&Y score ≤ 2.5, and in 68.4% of PD patients with H&Y score > 2.5 (Table 4). Prevalence in recent studies (2016-2019, n = 11) was similar to older studies (2007-2015, n = 11). In addition, the prevalence in different regions was similar to each other (Table 5).
Table 5

Sub-group analysis of the FOG prevalence in general PD patients by the quality of included studies, date of study conduction, and geographical region

Number of studiesPrevalence95% CIP valueHeterogeneity, %
Quality score
 14-15840.0%31.8-48.2%< 0.00192.5%
 16-171039.7%32.6-46.8%< 0.00190.1%
 18-19440.1%28.0-52.3%< 0.00194.5%
Geographic region
 Europe941.7%34.1-49.4%< 0.00193.0%
 Asia342.9%28.9-56.8%< 0.00190.7%
 United States633.5%22.8-44.2%< 0.00193.4%
 Australia443.7%39.4-48.1%0.23230.1%
Year of study conduction
 2007-20151140.1%33.6-46.6%< 0.00194.3%
 2016-20191139.7%32.9-46.6%< 0.00186.0%

FOG freezing of gait, PD Parkinson’s disease

Sub-group analysis of the FOG prevalence in general PD patients by the quality of included studies, date of study conduction, and geographical region FOG freezing of gait, PD Parkinson’s disease

Heterogeneity

High heterogeneity was found among the synthesis results of included studies. Therefore, we performed subgroup analysis of the FOG prevalence in PD patients based on the scale used to diagnose the FOG, disease duration of PD, disease severity of PD, quality of included studies, date of study conducted, and geographical region. Nonetheless, the heterogeneity in almost all subgroups was considerable (Table 4, Table 5).

Discussion

Reported prevalence and variation

In this review, the prevalence of FOG in PD is reviewed for the first time. The results of this meta-analysis show that the overall prevalence of FOG in PD is 39.9%. FOG is most frequently seen in PD patients with disease duration ≥ 10 years at 70.8% (60.8-80.9%), followed by PD patients with disease duration ≥ 5 years (53.3%, 95% CI 45.8-60.8%), and PD patients with disease duration < 5 years (22.4%, 95%CI 12.8-31.9%). In terms of severities, FOG was present in 28.4% (95% CI 15.7-41.1%) of PD patients with H&Y score ≤ 2.5, and in 68.4% (95% CI 58.7-78.2%) of PD patients with H&Y score > 2.5. Our results indicate that the prevalence of FOG in PD patients is considerable. The prevalence of FOG identified by objectively diagnostic criteria did not have a statistical difference with subjectively diagnosed one (40.2%, 95% CI 35.1-45.2% vs 38.4%, 95% CI 25.2-51.6%, p = 0.442). However, the FOG identified by the FOG-Q item 3 (43.8%, 95% CI 38.5-49.1%) may be more prevalent than the FOG identified by the UPDRS item 14 (36.0%, 29.0-43.1%). The item 3 of the FOG-Q, in comparison with item 14 of the UPDRS, identifies more PD patients as “freezers,” which indicates that some patients might not report to have experienced FOG when evaluated with UPDRS item 14, but report to have experienced FOG when they are provided with a detailed explanation of what FOG is (FOG-Q item 3) [47]. In this meta-analysis, it is confirmed that the FOG in PD is associated with increased severity (H&Y) and longer disease duration. The disease severity (H&Y) and disease duration had been proven to be strong clinical features associated with FOG [11, 27, 28, 48]. In addition, the H&Y and disease duration may be attributed to the severity of FOG [49-51]. There is a wide range of the FOG prevalence reported in the included studies. The heterogeneity among the results of the included studies was not negligible. These studies were conducted in different regions, different diagnostic criteria of FOG were used, and patients with different durations and severities were included. These differences may be the sources of heterogeneity. However, Chi2 test was used in this study, which is highly effective in identifying small heterogeneities that might not be practically important [52]. In the sub-analysis, based on the scale used to diagnose FOG, disease duration, severity of PD, quality of included studies, date of study conducted, and geographical region, the heterogeneity was high. Furthermore, the dissimilarities of the medication states of FOG also contributed to the heterogeneity. The FOG prevalence rates vary in PD patients who experienced FOG only during off state, only during on state, and either in on or off states and is independent of dopaminergic response-related symptoms [11, 53]. Nonetheless, if the results of the meta-analysis are to be used as a recommendation for medical decision-making, it is possible to analyze the heterogeneous results of studies [54]. Furthermore, in order to reduce the heterogeneity, the studies without a sufficient description of a random or consecutive design of patient recruitment have already been excluded, and the random-effects model has been used in this meta-analysis to estimate the prevalence of FOG.

Inspiration to surgical work

Patients with advanced PD often show the axial symptoms, including gait disorders and postural abnormalities [55]. Gait disorders often occur in the situation when the patients’ attention shifts or the walking direction changes. At that moment, patients often fall down because the movement of legs lags behind the upper body [56], which has a significant adverse effect on the patients’ quality of life [26]. However, the current main treatments of PD patients sometimes do not work in the axial symptoms, including dopamine drug therapy and deep brain stimulation in classical nuclei ( such as subthalamic nucleus and globus pallidus internus) [57]. The pedunculopontine nucleus (PPN) is an important nucleus in the neural activity that controls the initiation of gait. Therefore, it has gained wide attention whether the PPN-DBS could improve the axial symptoms of PD patients [58]. Results in the PD animal model showed that low-frequency PPN-DBS can improve the gait disorders and postural abnormalities [59-61]. More than that, clinical studies have also shown that low-frequency PPN-DBS can selectively improve gait disorders in PD patients [62-64]. In patients with severe freezing of gait and postural abnormalities, which have treated with drugs but not with subthalamic nucleus deep brain stimulation (STN-DBS), deep brain stimulation in the lower and middle parts of the bilateral PPN has shown a good therapeutic effect [65]. In this meta-analysis, we concluded that the overall incidence of freezing of gait was 35.8%. These patients may be suitable for the multi-target DBS because of the insignificant therapeutic effect by dopamine drug therapy and deep brain stimulation in classical nuclei. The therapeutic effect of STN-DBS in the axial symptoms in PD patients remains controversial [66-69]. Some studies suggested that STN-DBS could improve both limb dyskinesia and gait disorders in PD patients [70]. Hamani et al [71] reported that the improvement rate of gait disorders was 64% at 1 year after STN-DBS. Bejjani et al [72] claimed that gait disorders and postural abnormalities improved at 6 months after STN-DBS. STN-DBS may improve gait disorders and postural abnormalities through the direct stimulation on PPN [70, 73]. In addition, Khan et al [74] reported that PPN-DBS combined with STN-DBS improved the axial symptoms in patients with advanced PD. Although multi-target DBS is still in the clinical exploration stage, it is worthwhile to study how to improve multiple symptoms by stimulating multiple nucleus [75]. Our study showed that the overall incidence of FOG in PD patients was high and was related to the disease duration and severity. Therefore, for PD patients, a detailed assessment of FOG is important for formulating a treatment plan and could not be ignored.

Limitations

There are a number of limitations in this meta-analysis. First, despite the attempts to identify all suitable publications and to exclude publications stemming from the same database, it is possible that some of the overlapping publications might be missed. Second, although quality criteria were used in all of the papers studied, the inclusion criteria used were subjective to the authors. This may increase the possibility of information bias. Third, the medication state of FOG in most studies was unknown. Therefore, a sub-analysis of the FOG prevalent based on the medication state cannot be performed. Lastly, the possible influences of pharmacological treatment of FOG cannot be ruled out For example, patients who had FOG but were successfully treated may not be recognized, and this may lead to an underreporting of FOG. However, taking all of these considerations into account, the overall prevalence rate of FOG in available studies was calculated with the intention to provide a reliable estimation of the rate of FOG in PD patients. Although FOG in PD was relatively neglected for a long time, it has received more attention in the past decade. By demonstrating a high prevalence of FOG in PD (39.9%), the present meta-analysis highlights the need for accurate identification of FOG in PD.

Conclusions

This is the first review on the prevalence of FOG in PD. The results showed that the prevalence of FOG in PD is 35.8% and it varied with different disease durations and severities. It reminded us that physicians should be aware of FOG as a common feature in PD. More accurate diagnostic rating scale and efficient treatments such as multi-target DBS should be further studied and optimized for PD patients to increase their quality of life.
  75 in total

1.  Random-effects meta-analyses are not always conservative.

Authors:  C Poole; S Greenland
Journal:  Am J Epidemiol       Date:  1999-09-01       Impact factor: 4.897

2.  Bilateral deep brain stimulation of the pedunculopontine and subthalamic nuclei in severe Parkinson's disease.

Authors:  Alessandro Stefani; Andres M Lozano; Antonella Peppe; Paolo Stanzione; Salvatore Galati; Domenicantonio Tropepi; Mariangela Pierantozzi; Livia Brusa; Eugenio Scarnati; Paolo Mazzone
Journal:  Brain       Date:  2007-01-24       Impact factor: 13.501

Review 3.  Use of IOTA simple rules for diagnosis of ovarian cancer: meta-analysis.

Authors:  N Nunes; G Ambler; X Foo; J Naftalin; M Widschwendter; D Jurkovic
Journal:  Ultrasound Obstet Gynecol       Date:  2014-10-13       Impact factor: 7.299

4.  What factors influence motor complications in Parkinson disease?: a 10-year prospective study.

Authors:  Pedro J García-Ruiz; Javier Del Val; Ignacio Mahillo Fernández; Antonio Herranz
Journal:  Clin Neuropharmacol       Date:  2012 Jan-Feb       Impact factor: 1.592

5.  The effect of low frequency stimulation of the pedunculopontine tegmental nucleus on basal ganglia in a rat model of Parkinson's disease.

Authors:  Eunkyoung Park; Inho Song; Dong Pyo Jang; In Young Kim
Journal:  Neurosci Lett       Date:  2014-06-10       Impact factor: 3.046

6.  Fall frequency and risk factors in patients with Parkinson's disease in Belgrade, Serbia: a cross-sectional study.

Authors:  Tatjana Gazibara; Tatjana Pekmezovic; Darija Kisic Tepavcevic; Aleksandra Tomic; Iva Stankovic; Vladimir S Kostic; Marina Svetel
Journal:  Geriatr Gerontol Int       Date:  2014-04-28       Impact factor: 2.730

7.  Prevalence and epidemiological characteristics of congenital cataract: a systematic review and meta-analysis.

Authors:  Xiaohang Wu; Erping Long; Haotian Lin; Yizhi Liu
Journal:  Sci Rep       Date:  2016-06-23       Impact factor: 4.379

8.  Validation of the freezing of gait questionnaire in patients with Parkinson's disease.

Authors:  Nir Giladi; Joseph Tal; Tali Azulay; Oliver Rascol; David J Brooks; Eldad Melamed; Wolfgang Oertel; Werner H Poewe; Fabrizio Stocchi; Eduardo Tolosa
Journal:  Mov Disord       Date:  2009-04-15       Impact factor: 10.338

9.  Risk factors for freezing of gait in Parkinson's disease.

Authors:  Ana Contreras; Francisco Grandas
Journal:  J Neurol Sci       Date:  2012-07-15       Impact factor: 3.181

10.  A prospective study of freezing of gait with early Parkinson disease in Chinese patients.

Authors:  Hongbo Zhang; Xifan Yin; Zhiyuan Ouyang; Jing Chen; Shenghua Zhou; Changguo Zhang; Xin Pan; Shiliang Wang; Junxiang Yang; Yaoyao Feng; Ping Yu; Qiangchun Zhang
Journal:  Medicine (Baltimore)       Date:  2016-06       Impact factor: 1.889

View more
  8 in total

1.  Accuracy of Step Count Estimations in Parkinson's Disease Can Be Predicted Using Ambulatory Monitoring.

Authors:  Navid Shokouhi; Hamid Khodakarami; Chathurini Fernando; Sarah Osborn; Malcolm Horne
Journal:  Front Aging Neurosci       Date:  2022-06-16       Impact factor: 5.702

2.  Application of Wavelet in Quantitative Evaluation of Gait Events of Parkinson's Disease.

Authors:  Noore Zahra
Journal:  Appl Bionics Biomech       Date:  2021-12-09       Impact factor: 1.781

3.  Real-Time Detection of Freezing Motions in Parkinson's Patients for Adaptive Gait Phase Synchronous Cueing.

Authors:  Ardit Dvorani; Vivian Waldheim; Magdalena C E Jochner; Christina Salchow-Hömmen; Jonas Meyer-Ohle; Andrea A Kühn; Nikolaus Wenger; Thomas Schauer
Journal:  Front Neurol       Date:  2021-12-06       Impact factor: 4.003

Review 4.  Effectiveness of interventions to prevent falls for people with multiple sclerosis, Parkinson's disease and stroke: an umbrella review.

Authors:  Nicola O'Malley; Amanda M Clifford; Mairéad Conneely; Bláthín Casey; Susan Coote
Journal:  BMC Neurol       Date:  2021-09-29       Impact factor: 2.474

5.  Protocol for the DeFOG trial: A randomized controlled trial on the effects of smartphone-based, on-demand cueing for freezing of gait in Parkinson's disease.

Authors:  Demi Zoetewei; Talia Herman; Marina Brozgol; Pieter Ginis; Pablo Cornejo Thumm; Eva Ceulemans; Eva Decaluwé; Luca Palmerini; Alberto Ferrari; Alice Nieuwboer; Jeffrey M Hausdorff
Journal:  Contemp Clin Trials Commun       Date:  2021-06-29

6.  Clinical features and related factors of freezing of gait in patients with Parkinson's disease.

Authors:  Fengting Zhang; Jin Shi; Yangyang Duan; Jiang Cheng; Hui Li; Tingting Xuan; Yue Lv; Peng Wang; Haining Li
Journal:  Brain Behav       Date:  2021-09-22       Impact factor: 2.708

7.  Factors Contributing to Malnutrition in Parkinson's Disease Patients With Freezing of Gait.

Authors:  Li-Li Zhang; Liang Zhang; Jingde Dong; Ying Zhao; Xiao-Ping Wang
Journal:  Front Neurol       Date:  2022-03-11       Impact factor: 4.003

8.  Clinical Factors Predicting Voluntary Driving Cessation among Patients with Parkinson's Disease.

Authors:  Hidetada Yamada; Masahiro Nakamori; Tomohisa Nezu; Teppei Kotozaki; Juri Kitamura; Tomohiko Ohshita; Yoshimasa Sueda; Hirofumi Maruyama
Journal:  Behav Neurol       Date:  2022-03-20       Impact factor: 3.342

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.