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Record W4308712319 · doi:10.3389/fped.2022.975340

Relationship between preterm, low birth weight, and development defects of enamel in the primary dentition: A meta-analysis

2022· review· en· W4308712319 on OpenAlexaboutno aff
Shan Xu, Caiyun Zhao, Liying Jia, Zhe Ma, Xiaolin Zhang, Hong Shi

Bibliographic record

VenueFrontiers in Pediatrics · 2022
Typereview
Languageen
FieldMedicine
TopicBone and Dental Protein Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDentitionMedicineDentistryEnamel paintLow birth weightMeta-analysisPremature birthBirth weightOrthodonticsPregnancyGestational ageInternal medicine

Abstract

fetched live from OpenAlex

Background This study aimed to systematically analyze the relationship between preterm (PT), low birth weight (LBW), and developmental defects of enamel (DDE) in the primary dentition. Methods Following the retrieval of the databases, case–control studies, cross-sectional studies, and cohort studies on the relationship between PT, LBW and DDE, which had been published in English or Chinese up to January 2022 were included. The data about odds ratio (OR) and 95% confidence interval (95% CI) were extracted and calculated using STATA 12.0 Software. Case–control studies were evaluated using the Newcastle–Ottawa Scale (NOS), while cross-sectional studies and cohort studies were evaluated using the JBI scale. The heterogeneity of each study was evaluated using the Q test. Results A total of 15 studies were included, of which 8 studied the relationship between PT and DDE, and 13 explored the relationship between LBW and DDE including three about the relationship between very low birth weight (VLBW) and DDE. Seven studies explored the relationship between PT, LBW, and DDE. The results of this meta-analysis showed that both PT and LBW especially VLBW (OR = 7.19, 95% CI: 4.98–10.38) were risk factors for DDE in the primary dentition (OR = 2.33, 95% CI: 1.55–3.51) (OR = 1.67, 95% CI: 1.08–2.59). The subgroup results showed that PT and LBW were both associated with the occurrence of enamel hypoplasia (EHP) (OR = 6.89, 95% CI: 3.33–14.34; OR = 2.78, 95% CI: 2.10–3.68) rather than enamel opacity (OR = 0.94, 95% CI: 0.55–1.61; OR = 1.03, 95% CI: 0.66–1.61). There was no publication bias about the included studies (P = 0.75 > 0.05; P = 0.47 > 0.05). Conclusion This meta-analysis demonstrated that both PT and LBW especially VLBW are associated with a higher risk of DDE in the primary dentition. PT and LBW are both related to the occurrence of EHP. However, the relationship between PT, LBW, and enamel opacity has not been verified. Systematic Review Registration https://www.crd.york.ac.uk/prospero/display_record.php? , identifier: CRD42021262761.

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 score0.015
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.027
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0140.050
Bibliometrics0.0070.007
Science and technology studies0.0010.001
Scholarly communication0.0040.001
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.112
GPT teacher head0.316
Teacher spread0.204 · 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

Citations21
Published2022
Admission routes1
Has abstractyes

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