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Record W2143175853 · doi:10.15537/1658-3175.5276

Incidence of cleft lip and palate in Iran. A meta-analysis

2011· article· en· W2143175853 on OpenAlexfundno aff
Saber Khazaei, Amir Mansour Shirani, Mozafar Khazaei, Farid Najafi

Bibliographic record

VenueSaudi Medical Journal · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCleft Lip and Palate Research
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsMedicineMeta-analysisPublication biasConfidence intervalIncidence (geometry)DentistryForest plotCumulative incidenceOrthodonticsSurgeryInternal medicineMathematics

Abstract

fetched live from OpenAlex

OBJECTIVE: To investigate meta-analysis of published data on overall incidence of cleft lip, cleft palate, and cleft lip and palate of newborns in Iran. METHODS: This meta-analysis was carried out at the School of Dentistry, Isfahan University of Medical Sciences, Isfahan, Iran between May 2009 and December 2009. Our data were consisted of all incidences of cleft lip and palate from 1978 to June 2009, and we selected 11 studies. Inverse-variance weighting was implemented to calculate the random effect summary estimates and to produce a forest plot. Cumulative meta-analysis on published data was calculated and grouped. Publication bias was checked using both Begg's and Egger's test. RESULTS: Pooled incidence from 11 studies was 1.0/1000 (95% confidence interval: 0.5-1.5). There was no evidence of publication bias among the 11 studies (p-values for Begg's test was 0.53 and for Egger's test was 0.23). CONCLUSION: The incidence of cleft lip and palate in Iran was lower compared to other countries.

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)0.017
metaresearch head score (Gemma)0.029
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: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.029
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0120.043
Bibliometrics0.0050.004
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.076
GPT teacher head0.333
Teacher spread0.257 · 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
GenreEmpirical

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

Citations25
Published2011
Admission routes1
Has abstractyes

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