Socioeconomic position during life and periodontitis in adulthood: a systematic review
Bibliographic record
Abstract
Socioeconomic position (SEP) is a well-known risk indicator for chronic periodontitis. However, it is still unclear how SEP during the life course influences periodontal outcomes in adulthood. This study aimed to systematically review longitudinal studies investigating the influence of individual-level SEP during the life course on subsequent periodontitis in adulthood. Inclusion criteria were epidemiological longitudinal observational studies, in which indicators of relative SEP were assessed prior to clinical assessment of periodontitis. Six electronic databases (PubMed, EMBASE, Web of Science, Scopus, Latin American and Caribbean Health Sciences Literature (LILACS) and ScieLO) were searched. The methodological quality of the studies was assessed using the Newcastle-Ottawa Quality Assessment Scale (NOS). The search identified 1720 papers. After removal of duplicates (n=697), title and abstract screening (n=996), and full-text review (n=19), eight original manuscripts from seven studies were finally included. Sample sizes ranged from 167 to 2806, and the follow-up time from exposure to outcome ranged from 2 to 28 years. Studies evaluated education, occupation or income as SEP indicators. Prevalence, extent and severity of periodontal attachment loss, probing pocket depth and alveolar bone loss were the studied outcomes. Based on NOS, studies presented low risk of bias. Six of eight papers reported that relatively low SEP earlier in life was associated with poorer periodontal health in adulthood. The available scientific evidence demonstrates potential longitudinal impact of earlier lower SEP on later periodontal health. The findings were consistent despite differences in study methods.
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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 | 0.005 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.005 |
| Bibliometrics | 0.010 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".