| Literature DB >> 33981868 |
Brhane Berhe1, Haftom Legese2, Fitsum Mardu1, Kebede Tesfay1, Gebre Adhanom2, Tsega Kahsay2, Getachew Belay3, Hadush Negash2.
Abstract
OBJECTIVES: Podoconiosis is a poorly understood neglected tropical disease which results in a high socio-economic burden. In Ethiopia, despite the high prevalence, morbidity, and socio-economic impacts, little information is available about the disease. Thus, this review aimed to assess the effect of sex differences and pooled prevalence of podoconiosis in Ethiopia. STUDYEntities:
Keywords: Determinants; Epidemiology; Ethiopia; Podoconiosis; Prevalence
Year: 2021 PMID: 33981868 PMCID: PMC8082554 DOI: 10.1016/j.heliyon.2020.e05446
Source DB: PubMed Journal: Heliyon ISSN: 2405-8440
JBI Quality appraisal checklists.
| JBI Checklist, 2017 (cross- sectional studies) | Degen F | Oli G | Alemu G | Deribe K | Elias A | Destas K | Yordanos M | Bekelle K | Tekola F | Mengstu G | Kloops H |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1. Were the criteria for inclusion in the sample clearly defined? | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| 2. Were the study subjects and the setting described in detail? | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| 3. Was the exposure measured in a valid and reliable way? | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | No | No |
| 4. Were objective, standard criteria used for measurement of the condition? | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| 5. Were confounding factors identified? | Yes | No | No | Yes | Yes | No | No | Yes | Yes | No | No |
| 6. Were strategies to deal with confounding factors stated? | Yes | No | No | Yes | Yes | No | No | Yes | Not | No | No |
| 7. Were the outcomes measured in a valid and reliable way? | Yes | No | Yes | No | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| 8. Was appropriate statistical analysis used? | Yes | No | No | Yes | Yes | No | No | Yes | No | No | No |
| Overall appraisal: | 8/8 (100%) | 4/8 (50%) | 5/8 (62.5%) | 7/8 (87.5%) | 8/8 (100%) | 5/8 (62.5%) | 5/8 (62.5%) | 8/8 (100%) | 6/8 (75%) | 4/8(50%) | 4/8(50%) |
| Including reason for exclusion | Included | Included | Included | Included | Included | Included | Included | Included | Included | Included | Included |
Result of different Ethiopian study sites.
| Author | YP | Country | Setting | Design | LM | Sample | Positive | Event | Total ♀ | Event | Total ♂ | QS (%) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Degen F [ | 2019 | Ethiopia | Rural | CS | ICT & clinical | 638 | 40 | 25 | 400 | 15 | 238 | 100 |
| Oli G [ | 2013 | Ethiopia | Urban | CS | ICT & clinical | 1656 | 123 | 56 | 824 | 67 | 832 | 50 |
| Alemu G [ | 2011 | Ethiopia | Rural | CS | Clinical | 2991 | 335 | 243 | 1691 | 92 | 1300 | 62.5 |
| Deribe K [ | 2015 | Ethiopia | Rural | CS | ICT & clinical | 5253 | 333 | 216 | 3045 | 117 | 2208 | 87.5 |
| Elias A [ | 2016 | Ethiopia | Rural | CS | Clinical | 1483 | 80 | 33 | 708 | 47 | 775 | 100 |
| Destas K [ | 2002 | Ethiopia | Urban | CS | Clinical | 33678 | 1890 | 937 | 16669 | 953 | 17009 | 62.5 |
| Yordanos M [ | 2012 | Ethiopia | Urban | CS | Clinical | 51017 | 1704 | 838 | 25766 | 866 | 25251 | 62.5 |
| Bekelle K [ | 2016 | Ethiopia | Rural | CS | Clinical | 39256 | 1197 | 733 | 19968 | 464 | 19288 | 62.5 |
| Tekola F [ | 2013 | Ethiopia | Rural | CS | Clinical | 6710 | 379 | 222 | 3377 | 157 | 3333 | 75 |
| Mengistu G [ | 1993 | Ethiopia | Rural | CS | Clinical | 3022 | 153 | - | - | - | - | 50 |
| Kloops H [ | 1992 | Ethiopia | Rural | CS | Clinical | 416 | 31 | - | - | - | - | 50 |
YP = Year of publication, CS = cross-sectional, CC = Case-control, LM = Laboratory method, ♀ = female, ♂ = male, QS = Critical quality appraisal of the included articles, “- “ = Missing data.
Figure 1Flow diagram that showed selection process.
Figure 2The pooled prevalence of podoconiosis in Ethiopia.
Figure 3Subgroup analysis by study setting on the prevalence of podoconiosis in Ethiopia. Keys: Experimental events = Female, Control events = Male.
Figure 4Effect of sex difference on the odds of podoconiosis infection. keys: Experimental events = Female, Control events = Male.
Figure 5Subgroup analysis by the setting of sex differences on podoconiosis in Ethiopia.
Figure 6Influential analysis included studies of podoconiosis in Ethiopia.