Oral Health-Related Quality of Life during Pregnancy: A Systematic Review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: High prevalence of Dental and periodontal problems during the gestation period may have a negative effect on oral health-related quality of life (OHRQoL) in pregnant women. This systematic review aimed to perform a quality assessment and provide a critical overview of the current research available on OHRQoL in pregnant women. METHODS: For this systemic review, all original and peer-reviewed human studies, which investigated OHRQoL of women during pregnancy or post- partum period, were searched. Studies were screened in title and abstract for the relevance by two independent investigators. Methodological quality was assessed using modified items recommended by the Newcastle-Ottawa Scale for observational studies. RESULTS: All of the eight included studies had a cross-sectional design. Meta-analysis was not possible due to the heterogeneity of key aspects among the included studies. Thus, the data from the studies were evaluated qualitatively. The overall risk of bias of the included studies was low. CONCLUSION: The main conclusion of this review is that the presence of signs and symptoms of dental and gingival disease negatively affects the self-perception of OHRQoL in pregnant women. The most affected domains of OHRQoL in pregnant women were related to mental and psychological discomfort, followed by physical and functional problems.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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 it