ResearchResearch summary
Non-albicans Candida in sub-Saharan vaginal infections
A sub-Saharan review estimates non-albicans Candida prevalence among women; high heterogeneity and mismatched table totals limit interpretation.
In this pathway
- Current topic
- Non-albicans Candida in sub-Saharan vaginal infectionsCurrent

Bottom line
The reported random-effects estimate for non-albicans Candida among all women in the included studies was 12.56%; the estimate among confirmed Candida isolates was 34.98%. These are two different model estimates, not crude observed counts. They are specific to studies in sub-Saharan Africa, and inconsistent table totals limit interpretation.
Why this source matters
It brings regional findings on non-albicans Candida together across studies of women in sub-Saharan Africa. The results offer context for the species mix reported in those settings, but do not estimate prevalence elsewhere or guide an individual decision.
Study and population
The authors searched for primary studies published from 2015 through 2025 and included 14 cross-sectional studies with 3,587 women ages 15–49 in nine sub-Saharan African countries. The studies used culture-based phenotypic or biochemical species identification; two also used molecular confirmation.
What was tested
The review estimated non-albicans Candida as a proportion of all enrolled women and as a proportion of confirmed Candida isolates, and pooled proportions for four named species. Antifungal susceptibility was discussed narratively rather than pooled.
Results
Among all women, the reported random-effects estimate was 12.56% (95% CI 8.73–17.83%; 14 studies, 3,587 women; I²=66.40%). The 14 row-level non-albicans Candida case counts in Table 1 add to 448, while its pooled row prints 507; the paper does not explain the difference. Neither count is the model estimate.
Among confirmed Candida isolates, the reported random-effects estimate was 34.98% (95% CI 25.29–46.11%; 14 studies; the paper states N=1,508; I²=68.77%). Table 2's study denominators add to 1,509, rather than the stated 1,508.
For species proportions among isolates, the reported random-effects estimates were C. glabrata 16.38% (95% CI 10.72–24.27%; 10 studies, N=1,186; I²=54.94%), C. krusei 4.52% (2.07–9.56%; 10 studies, N=1,186; I²=70.39%), C. tropicalis 4.15% (2.12–7.91%; 11 studies, N=1,370; I²=62.34%), and C. parapsilosis 1.46% (0.61–3.46%; 9 studies, N=1,031; I²=50.72%). The isolate estimates use a different denominator from the estimate among all women.
Applicability
These estimates describe women ages 15–49 in the included sub-Saharan African studies. They should not be generalized as prevalence estimates for the United States or Poland, or used to predict an individual's result. The review does not test diagnosis, recurrence, treatment response, or screening benefit.
Limitations
All included studies were cross-sectional, and the pooled estimates had high heterogeneity. Settings and species-identification methods varied. The 14 row-level non-albicans Candida case counts in Table 1 total 448 although its pooled row says 507; Table 2 denominators total 1,509 although the text states 1,508. Neither discrepancy is resolved in the article.
Resistance was not pooled: five studies reported susceptibility findings using varied or unstated methods and breakpoints. No complete species-specific MIC data interpreted against current EUCAST or CLSI breakpoints were available. The review also did not pool recurrence, treatment response, or patient-reported outcomes, and conventional identification methods may misclassify some species.
Contribution to the evidence
Contextual. The review adds sub-Saharan African prevalence and species-distribution estimates. It does not establish a global or locale-specific prevalence, individual risk, or treatment effect; the inconsistent printed totals further limit reuse of the aggregate counts.
Practical change
No practical change. This regional, cross-sectional review does not change clinical guidance or establish an individual diagnosis or treatment choice.
Funding and conflicts
The authors reported no external funding and said the work relied on collaboration among the co-authors. They declared no competing interests.
Source
Read the original publication (published 24 July 2026).
Study type, population, and sample scale
- Study type
- Systematic review, prevalence meta-analysis, and narrative synthesis
- Population
- Women ages 15–49 in cross-sectional studies of vaginal Candida in sub-Saharan Africa
- Sample scale
- 14 cross-sectional studies; 3,587 women ages 15–49 across nine sub-Saharan African countries
Results
- The reported random-effects estimate for non-albicans Candida among all women was 12.56% (95% CI 8.73–17.83%; 14 studies, 3,587 women; I²=66.40%). The 14 row-level non-albicans Candida case counts in Table 1 sum to 448, while its pooled row prints 507; the paper does not reconcile the discrepancy.
- The reported random-effects estimate among confirmed Candida isolates was 34.98% (95% CI 25.29–46.11%; 14 studies; stated N=1,508; I²=68.77%). Table 2 denominators sum to 1,509, while the paper states 1,508.
- Among Candida isolates, reported random-effects estimates were 16.38% for C. glabrata (95% CI 10.72–24.27%; 10 studies, N=1,186; I²=54.94%), 4.52% for C. krusei (2.07–9.56%; 10 studies, N=1,186; I²=70.39%), 4.15% for C. tropicalis (2.12–7.91%; 11 studies, N=1,370; I²=62.34%), and 1.46% for C. parapsilosis (0.61–3.46%; 9 studies, N=1,031; I²=50.72%).
Limitations
- The review reports a 12.56% random-effects estimate among all women.
- The 14 row-level non-albicans Candida case counts in Table 1 sum to 448, but the printed pooled row says 507. The paper does not reconcile these totals; neither count is the reported model estimate.
- The review reports a 34.98% random-effects estimate among confirmed Candida isolates.
- Table 2 study denominators sum to 1,509, but the paper states 1,508. This discrepancy remains unresolved.
- The prevalence estimates varied substantially across the pooled analyses.
- The 14 studies were cross-sectional, with different settings and variable species-identification methods; only two used molecular confirmation, and the analyses showed high heterogeneity.
- The review narratively summarized antifungal susceptibility findings from five studies.
- Resistance was not pooled, methods and breakpoints varied, and complete species-specific MIC data interpreted against current EUCAST or CLSI breakpoints were unavailable.
- The review describes species distribution in sampled populations.
- It did not estimate incidence or recurrence, validate symptom-based diagnosis, or pool treatment response or patient-reported outcomes; conventional identification may also misclassify some species.
Applies to
- The included cross-sectional studies of women ages 15–49 in nine sub-Saharan African countries.
- Regional model estimates of non-albicans Candida among all enrolled women and among confirmed Candida isolates in those studies.
Does not apply to
- Prevalence in the United States or Poland, or prediction for an individual.
- Incidence, recurrence, diagnostic accuracy, treatment response, screening benefit, or empirical treatment choice.
Contribution to the current conclusion
Contextual
The review adds regional context about non-albicans Candida in studies from sub-Saharan Africa. Its estimates do not establish prevalence in the United States or Poland or predict an individual result, and the paper contains unresolved inconsistencies in its reported totals.
Related evidence mapPractical change or no change
No practical change. These regional estimates add context but do not establish an individual diagnosis or treatment decision.
Funding and conflicts
- Funding
- No external funding was received; the work relied on the collaboration of the co-authors.
- Conflicts
- The authors declared no competing interests.
- Paper date
- 2026-07-24