Epidemiology, Clinical Aspects and Management of Cleft Lip and/or Palate in Burkina Faso: A Humanitarian Pediatric Surgery-Based Study
Bibliographic record
Abstract
Background: Cleft lip and/or palate are the most common orofacial malformations. Many studies, especially in developed countries have been conducted on this malformation, but in Burkina Faso, data are scarce and they are not specific to children. The aim of this study was to report the epidemiological, clinical and therapeutic aspects of cleft lip and/or palate in children in a low-income country. Materials and Method: The authors conducted a retrospective descriptive study based on data of three humanitarian missions of pediatric reconstructive facial surgery which took place in 2007, 2010 and 2014 at Clinique El Fateh-Suka in Ouagadougou, Burkina Faso. All children of 0 - 14 years of age, presenting with cleft lip and/or palate, were included in the study. Results: A total of 185 cases of cleft lip and/or palate were seen during these three humanitarian surgery missions. There were 100 boys and 85 girls. The average age of the children was 2.4 ± 3.2 years [0 - 12 years]; there were 8.7% newborns. The commonest type of cleft was cleft lip and palate (49.7%) followed by isolated cleft lip (48.7%) and isolated cleft palate (1.6%). The left side was the most affected (49.2%). In 21.1% of cases, clefts were associated with other congenital malformations. In total, 150 of 185 (81.1%) children underwent surgery and there were no postoperative complications reported. Conclusions: Epidemiological and clinical characteristics of cleft lip and/or palate observed in this study are not very different from those described elsewhere in Africa. However, in our conditions, there are circumstances and structural factors which hinder the diagnosis and constitute challenges that must be addressed for adequate management of this congenital, highly disfiguring malformation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".