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Record W4387826709 · doi:10.1016/j.heliyon.2023.e20922

Association between periodontal disease and osteoporosis in postmenopausal women: A systematic review and meta-analysis

2023· review· en· W4387826709 on OpenAlexaboutno aff
Jing Qi, Jiahui Chen, Yunqing Pang, Yufeng Guo, Guang Chen, Yuting Liu, Jing Wang, Enqi Liu

Bibliographic record

VenueHeliyon · 2023
Typereview
Languageen
FieldMedicine
TopicBone health and osteoporosis research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMeta-analysisOsteoporosisCochrane LibraryBleeding on probingPeriodontitisSystematic reviewInternal medicineObservational studyConfidence intervalGuidelineMEDLINEDentistryPathology

Abstract

fetched live from OpenAlex

Objective To evaluate the relationship between periodontitis and postmenopausal osteoporosis. Methods This research was carried out according to the principles laid down by the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guideline statement. We searched the Web of Science, Embase, PubMed, The Cochrane Library, CNKI, VIP, and WanFang databases from inception to July 1, 2023 to collect all relevant publications, with no restrictions on publication date or Languages. Cochrane's tool for assessing RoB was used to evaluate the RoB for RCTs. The Newcastle-Ottawa Scale was used to assess the RoB for cohort studies and case-control studies. Mean differences (MD) with 95 % confidence intervals (CI) were used for analysis of continuous data. Heterogeneity was measured using the I 2 statistic. Revman 5.4 software was used for the meta-analysis. Results 28 observational studies with 19611 patients, including 5813 cases in the postmenopausal osteoporosis group and 13798 cases in the non-osteoporosis group. The studies showed that the degrees of clinical attachment loss (CAL), probing depth (PD), gingival recession (GR), simplified oral hygiene index (OHIS), and percentage of sites with bleeding on probing (BOP) in the postmenopausal osteoporosis group were higher than those in the non-osteoporosis group[CAL(MD = 0.89(mm), 95 % CI [0.48,1.30], p < 0.00001), PD (MD = 0.27(mm), 95 % CI [0.13, 0.41], p = 0.0001), GR (MD = 0.28(mm), 95 % CI [0.20, 0.35], p < 0.00001), OHIS (MD = 1.32,95 % CI [1.12,1.51], p < 0.00001), BOP(MD = 12.71(%), 95 % CI [3.24,22.18], p = 0.009)]. Eleven studies found that bone mineral density (BMD) in the postmenopausal osteoporosis group was lower than that in non-osteoporosis group (MD = −0.41(U/cm 2 ), 95 % CI [-0.77,-0.05], p = 0.03). The combined analysis results of the studies in the two groups showed that there were no significant differences in the loss of alveolar crestal height (ACH)[(MD = −1.76(%),95%CI [-3.64,0.12], p = 0.07)]. Conclusion Postmenopausal osteoporosis patients are more likely to suffer from periodontitis, and the condition is easily aggravated.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.022
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.027
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0220.036
Bibliometrics0.0080.008
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.095
GPT teacher head0.396
Teacher spread0.301 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

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".

Quick stats

Citations20
Published2023
Admission routes1
Has abstractyes

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