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Record W3014620339 · doi:10.1111/ipd.12646

Relationship between preterm birth and developmental defects of enamel: A systematic review and meta‐analysis

2020· review· en· W3014620339 on OpenAlexaboutno aff
Caterina Bensi, M Costacurta, Stefano Belli, Daniele Paradiso, Raffaella Docimo

Bibliographic record

VenueInternational Journal of Paediatric Dentistry · 2020
Typereview
Languageen
FieldMedicine
TopicBone and Dental Protein Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMeta-analysisCochrane LibrarySubgroup analysisScopusSystematic reviewPediatricsWeb of scienceMEDLINEObstetricsInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: A putative relationship between preterm birth and developmental defects of enamel (DDE) has been described in the literature. Although systematic reviews have found preterm birth may lead to DDE, the effect size has not been quantified. AIM: The aim of this systematic review and meta-analysis was to determine the association between preterm birth and DDE. DESIGN: An electronic search was performed in PubMed, Cochrane Library, Scopus, and Web of Science to identify relevant studies. Two independent reviewers selected the studies in a two-stage process in accordance with the PRISMA statement. The risk of bias was also analysed using the Newcastle-Ottawa Scale criteria. RESULTS: A total of 1041 publications were considered after an electronic search, 20 of which were included in the systematic review. Of these 20 publications, 18 articles were included in a meta-analysis. The meta-analysis detected an increased risk of developing DDE in preterm children [OR: 3.27 (95% CI 2.02, 5.30; P < .001)], with a greater risk in the primary dentition. In addition to this, a subgroup analysis showed a greater risk in the development of hypoplasia in preterm children. CONCLUSIONS: The results of this meta-analysis showed a three times increased risk of developing DDE in preterm children.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.774
Threshold uncertainty score0.813

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.083
GPT teacher head0.366
Teacher spread0.283 · 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 teacher head, 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

Citations37
Published2020
Admission routes1
Has abstractyes

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