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Supplementary Material for: Association of molar incisor hypomineralization with hypomineralized second primary molars: an updated systematic review with a meta-analysis and trial sequential analysis

2024· dataset· en· W6977243834 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueFigshare · 2024
Typedataset
Languageen
FieldComputer Science
TopicInformation Retrieval and Data Mining
Canadian institutionsnot available
Fundersnot available
KeywordsFunnel plotMeta-analysisConfoundingData extractionPublication biasOdds ratioIncisorSystematic reviewRandomized controlled trial

Abstract

fetched live from OpenAlex

Introduction: There is a correlation between molar incisor hypomineralization (MIH) and hypomineralized second primary molars (HSPM), but this relationship has not been definitively confirmed. The purpose of this systematic review and meta-analysis was to reevaluate whether children with HSPM are more affected by MIH than non-HSPM children. Methods: A systematic search was conducted in four databases (PubMed, Embase, Web of Science and the Cochrane Library) for literature, published up to December 2022. Two independent reviewers conducted the study search and screening, quality assessment, and data extraction according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement. The risk of bias assessment of all included cohort studies and case-control studies were assessed by the Newcastle-Ottawa Scale (NOS), and cross-sectional studies were assessed using the Agency for Healthcare Research Quality (AHRQ) scale. RevMan 5.4 software was used for all data analyses, with odds ratios (ORs) and 95% confidence intervals (CIs) as the effect measures. Sensitivity and subgroup analyses were conducted to identify the potential sources of heterogeneity among the studies. Publication bias was tested and corrected by funnel plots and Egger’s test. Trial sequential analysis (TSA) was performed using TSA 0.9.5.10 Beta software to control for type-1 and type-2 errors. Results: A total of 12 studies involving 8,944 children were included in this meta-analysis. Compared with the non-HSPM group, the HSPM group had an increased likelihood of MIH (OR = 10.90, 95% CI = 4.59-25.89, P <0.05). All the included studies were of moderate-to-high quality. TSA and sensitivity analyses suggested the robustness of this outcome. Conclusion: This systematic review demonstrated a certain correlation between HSPM and MIH, suggesting that HSPM can play a predictive role in the occurrence of MIH. Further high-quality, multicenter and large-sample longitudinal studies are highly recommended.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.733
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0430.000

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 head0.037
GPT teacher head0.280
Teacher spread0.244 · 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