| Literature DB >> 35410274 |
Fatemeh Rajati1, Nassim Ahmadi2, Zahra Al-Sadat Naghibzadeh3, Mohsen Kazeminia4.
Abstract
BACKGROUND: Oropharyngeal dysphagia (OD) refers to any abnormality in the physiology of swallowing in the upper gastrointestinal tract, which leads to the related clinical complications, such as malnutrition, dehydration, and sever complication, such as aspiration pneumonia, suffocation, and eventually, premature death. The previous studies indicated a various range of prevalence of OD. The present systematic review and meta-analysis aimed to standardize the global prevalence of OD in different populations.Entities:
Keywords: Meta-analysis; Oropharyngeal dysphagia; Prevalence; Systematic review
Mesh:
Year: 2022 PMID: 35410274 PMCID: PMC9003990 DOI: 10.1186/s12967-022-03380-0
Source DB: PubMed Journal: J Transl Med ISSN: 1479-5876 Impact factor: 5.531
Search strategies
| Database | Search strategy | Date | Number |
|---|---|---|---|
| PubMed | ((((Prevalence [MeSH Terms]) OR (Prevalen* [Title/Abstract])) OR (Prevalence* [Title/Abstract])) OR (Prevalent [Title/Abstract])) AND (("Oropharyngeal Dysphagia") OR ("Dysphagia, Oropharyngeal")) | 14 November 2021 | 171 |
| Scopus | (TITLE-ABS-KEY ( | 16 November 2021 | 839 |
| WoS | TS=(Prevalence* OR Prevalence OR Prevalent) AND ALL=(“Oropharyngeal Dysphagia” OR “Dysphagia, Oropharyngeal”) | 16 November 2021 | 462 |
| Embase | #1: 'prevalence*':ab,ti OR 'Prevalence*':ab,ti OR 'prevalent':ab,ti OR 'prevalence'/exp/mj #2: 'oropharyngeal dysphagia' #3: #1 AND #2 | 17 November 2021 | 370 |
| Google scholar | (Prevalence* OR Prevalence OR Prevalent) AND (“Oropharyngeal Dysphagia” OR “Dysphagia, Oropharyngeal”) | 18 November 2021 | 250 |
Fig. 1PRISMA 2020 flow diagram for article selection
The characteristics of the studies included in the systematic review and meta-analysis
| First author, year, (References) | Country (continent) | Sample size (n) | Age (year) | Type of study | Diagnostic tool | Prevalence (%) | Population | Quality score | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | Male | Female | Total | Male | Female | |||||||
| Wolf, 2020, [ | Germany (Europe) | 200 | 69 | 131 | 84 ± 6.5 | Cross-sectional retrospective | Physical examination | 29.0 | – | – | Elderly | 9 |
| Ruth, 1991, [ | Sweden (Europe) | 337 | – | – | 20–79 | Cross-sectional | Physical examination | 10.0 | – | – | General population | 4 |
| Cabre, 2010, [ | Spain (Europe) | 134 | 80 | 54 | 84.51 ± 6.8 | Prospective cohort | Physical examination | 55.0 | – | – | Elderly patients with pneumonia | 5 |
| Melgaard, 2017, [ | Denmark (Europe) | 154 | 84 | 70 | 80.90 ± 10.58 | Cross-sectional observational | Volume–viscosity swallow test | 34.42 | 47.61 | 17.14 | Elderly patients with community-acquired pneumonia | 7 |
| Michel, 2018, [ | France (Europe) | 117 | 40 | 77 | 84.5 ± 5.1 | Prospective study | Volume–viscosity swallow test | 86.6 | 95.0 | 81.81 | Older patients with dementia | 7 |
| Elvira, 2020, [ | Spain (Europe) | 255 | 98 | 157 | 83.5 ± 8 | Prospective longitudinal quasi-experimental | Volume–viscosity swallow test | 85.9 | 85.35 | 61.2 | Older patients with dementia | 8 |
| Holland, 2011, [ | UK (Europe) | 637 | 149 | 488 | 89 (69–98) | Longitudinal study | Swallow questionnaire | 11.4 | – | – | Elderly | 5 |
| Garcı´a-Peris, 2007, [ | Spain (Europe) | 87 | – | – | 58.2 ± 13.5 | Cross-sectional retrospective | Physical examination | 50.6 | – | – | Head and neck cancer | 8 |
| Rofes, 2018, [ | Spain (Europe) | 395 | 211 | 184 | 73.2 ± 13.3 | Cohort | Volume–viscosity swallow test | 45.06 | 38.86 | 52.2 | Stroke | 7 |
| Mateos-Nozal, 2020, [ | Spain (Europe) | 329 | 104 | 225 | 93.5 (81–106) | Observational prospective | Volume–viscosity swallow test | 82.4 | 87.5 | 70.8 | Elderly | 8 |
| Falsetti, 2009, [ | Italy (Europe) | 151 | 77 | 74 | 79.4 ± 6.2 | Cross-sectional retrospective | Volume–viscosity swallow test | 26.5 | 40.25 | 12.16 | Stroke | 4 |
| Lendinez-Mesa, 2017, [ | Spain (Europe) | 124 | 88 | 36 | 56.45 ± 12.35 | Cross-sectional | Physical examination | 79.3 | – | – | Stroke | 6 |
| Serra-Prat, 2012, [ | Spain (Europe) | 254 | 136 | 118 | 77.4 ± 5.0 | Population-based prospective study | Volume–viscosity swallow test | 18.6 | 9.5 | 28.8 | Elderly | 6 |
| Hamdy, 2014, [ | UK (Europe) | 180 | 93 | 87 | 74.2 ± 11.5 | Cross-sectional | Volume–viscosity swallow test | 41.7 | – | – | Stroke | 4 |
| Stefano, 2020, [ | Italy (Europe) | 708 | 367 | 341 | 75.9 ± 8.6 | Cross-sectional retrospective | Physical examination | 32.7 | – | – | Older patients with dementia | 7 |
| Melgaard, 2018, [ | Denmark (Europe) | 313 | 138 | 175 | 83.1 ± 7.8 | Cross-sectional observational | Volume–viscosity swallow test | 50.0 | 52.17 | 48.0 | Acute Geriatric Patients | 8 |
| Lindh, 2017, [ | Sweden (Europe) | 51 | – | – | 48.3 ± 6.3 | Observational prospective | Physical examination | 49.0 | – | – | COPD | 7 |
| David, 2008, [ | Australia (Australia) | 2973 | – | – | 49.4 (15–95) | Population-based prospective study | Physical examination | 7.3 | – | – | General population | 6 |
| Yang, 2013, [ | Korea (Asia) | 415 | 195 | 220 | 77.3 ± 8.7 | Cohort | Swallow questionnaire | 33.7 | 39.5 | 28.6 | Elderly | 7 |
| Biglary, 2019, [ | Iran (Asia) | 500 | – | – | 48.1 ± 7.5 | Cross-sectional study was a descriptive-analytic study | Physical examination | 17.39 | – | – | Neurological diseases and head and neck surgery | 5 |
| Costa, 2019, [ | South African (African) | 81 | – | – | 11.7 ± 15.6 day | Prospective cross-sectional observational | Clinical feeding assessments | 64.2 | – | – | Neonates | 7 |
| Chiocca, 2005, [ | Argentina (America) | 839 | 373 | 466 | 39.9 ± 15.4 | Cross-Sectional Observational | Physical examination | 29.6 | – | – | General population | 7 |
| Jacinto-Scudeiro, 2019, [ | Brasil (America) | 36 | 6 | 30 | 34.7 ± 16.8 | Cross-sectional | Swallow questionnaire | 33.0 | – | – | Paraplegia | 5 |
| Delevatti, 2020, [ | Brasil (America) | 229 | 49 | 180 | 77.90 ± 8.21 | Cross-sectional | Volume–viscosity swallow test | 58.0 | 49.0 | 60.5 | Older adults with orthopedic fractures | 6 |
| Almeida, 2015, [ | Brasil (America) | 25 | – | – | 62 (44–80) | Descriptive retrospective | Physical examination | 96.0 | – | – | Stroke | 4 |
| Samantha, 2015, [ | Colorado (America) | 206 | 9 | 187 | 32 (23–47) | Large retrospective review | Swallow questionnaire | 20.38 | 44.44 | 20.32 | Patients with severe anorexia nervosa | 5 |
| Benfer, 2018, [ | USA (America) | 111 | 82 | 29 | 34.1 ± 11.9 month | Longitudinal population-based cohort | Physical examination | 79.7 | – | – | Children with cerebral palsy | 5 |
Reporting the results of fixed and random effects model on meta-analysis
| Model | Number studies | Point estimate | Lower limit | Upper limit | Z-value | P-value | Q-value | Df (Q) | P-value | I-squared | Tau squared | Standard error | Variance | Tau |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Fixed | 27 | 0.316 | 0.305 | 0.327 | − 29.611 | 0.000 | 1859.987 | 26 | 0.000 | 98.602 | 1.339 | 0.501 | 0.251 | 1.157 |
| Random | 27 | 0.438 | 0.333 | 0.549 | − 1.101 | 0.271 |
Fig. 2The Funnel plot of the results of the overall estimation of the global prevalence of OD
Fig. 3The forest plot of the overall estimation of the global prevalence of OD based on the random effects model
Fig. 4The sensitivity analysis chart of the global prevalence of OD based on the random effects model
Fig. 5The meta-regression of the relationship between sample size and the global prevalence of OD
Fig. 6The meta-regression of the relationship between the year of the publication and the global prevalence of OD
Fig. 7The meta-regression of the relationship between the mean age and the global prevalence of OD
The subgroup analysis of estimating the prevalence rate of OD based on the continents, diagnostic tool, and study population
| Subgroups | Number of articles | Sample size | Begg and Mazumdar | Prevalence % (95% CI) | |
|---|---|---|---|---|---|
| Continents | |||||
| Asia | 2 | 227 | 96.82 | – | 24.7 (95% CI 12.1–43.7) |
| Europe | 17 | 1777 | 98.12 | 0.433 | 45.7 (95% CI 33.3–58.5) |
| America | 6 | 1446 | 96.90 | 0.452 | 51.3 (95% CI 31.7–70.6) |
| African | 1 | 81 | 0.000 | – | 64.2 (95% CI 53.2–73.9) |
| Australia | 1 | 2973 | 0.000 | – | 7.3 (95% CI 6.4–8.3) |
| Diagnostic tools | |||||
| Physical examination | 12 | 6089 | 98.69 | 0.243 | 40.9 (95% CI 26.3–57.3) |
| Volume–viscosity swallow test | 10 | 1273 | 97.76 | 1.000 | 54.4 (95% CI 39.2–68.8) |
| Swallow questionnaire | 3 | 255 | 97.21 | 1.000 | 20.4 (95% CI 9.6–38.4) |
| Population | |||||
| Children | 2 | 192 | 81.10 | – | 72.3 (95% CI 55.5–84.6) |
| Adults | 8 | 4816 | 98.69 | 0.386 | 32.6 (95% CI 17.7–52.0) |
| Elderly | 11 | 1400 | 98.56 | 0.119 | 48.1 (95% CI 31.9–64.7) |
| General population | 3 | 4149 | 99.25 | 1.000 | 13.4 (95% CI 4.4–34.5) |
| Pneumonia | 2 | 288 | 91.92 | – | 44.6 (95% CI 25.8–65.0) |
| Dementia | 3 | 1080 | 99.10 | 1.000 | 72.4 (95% CI 26.7–95.0) |
| Head and neck cancer | 2 | 587 | 97.60 | – | 31.5 (95% CI 8.9–68.4) |
| Stroke | 5 | 875 | 94.96 | 0.806 | 55.4 (95% CI 37.2–72.2) |
| Gender | |||||
| Male | 11 | 1141 | 94.36 | 0.161 | 54.7 (95% CI 40.1–68.6) |
| Female | 11 | 1667 | 97.00 | 0.876 | 46.5 (95% CI 31.3–62.5) |