Oral Health Related Quality of Life during Pregnancy and Postpartum: A systematic review
Bibliographic record
Abstract
Abstract BACKGROUND The impact of diseases on psychosocial well-being or the normal function of a person has been commonly defined as health-related quality of life .High prevalence of Dental and periodontal problems during gestation period may have a negative effect on oral-health-related quality of life (OHRQoL) in pregnant and postpartum women. OBJECTIVE This systematic review aims to perform a quality assessment and to give a critical overview of the current research available on OHRQoL in pregnant and post-partum women. STUDY DESIGN A systematic search strategy was applied in PubMed, MEDLINE, Cochrane Library, Web of Science, ClinicalTrials.gov, Google Scholar and Scopus from inception until December 2018. 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 on title and consecutively on abstract for relevance by 2 independent investigators. Methodological quality was assessed using modified items recommended by the Newcastle–Ottawa Scale for observational studies. RESULTS In all, 8 studies regarding the assessment of OHRQoL in pregnant woman were included. All of the included studies had cross-sectional design. Meta-analysis was not possible due to heterogeneity on 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. Considering that the available evidence is limited to cross-sectional design, longitudinal studies are needed to investigate the impacts of oral health status during pregnancy.
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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 | 0.007 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.008 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".