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Record W2592911373 · doi:10.1186/s13643-017-0438-2

Post-operative outcomes after cleft palate repair in syndromic and non-syndromic children: a systematic review protocol

2017· review· en· W2592911373 on OpenAlex
Zach Zhang, Michael J. Stein, Nigel Mercer, Claudia Malic

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSystematic Reviews · 2017
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCleft Lip and Palate Research
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineMEDLINEGold standard (test)ComplicationVelopharyngeal insufficiencyDentistryHard palateProtocol (science)SurgeryAlternative medicine

Abstract

fetched live from OpenAlex

BACKGROUND: There is a lack of high-level evidence on the surgical management of cleft palate. An appreciation of the differences in the complication rates between different surgical techniques and timing of repair is essential in optimizing cleft palate management. METHOD: A comprehensive electronic database search will be conducted on the complication rates associated with cleft palate repair using MEDLINE, EMBASE, and the Cochrane Central Register of Controlled Trials. Two independent reviewers with expertise in cleft pathology will screen all appropriate titles, abstracts, and full-text publications prior to deciding whether each meet the predetermined inclusion criteria. The study findings will be tabulated and summarized. The primary outcomes will be the rate of palatal fistula, the incidence and severity of velopharyngeal insufficiency, and the rate of maxillary hypoplasia with different techniques and also the timing of the repair. A meta-analysis will be conducted using a random effects model. DISCUSSION: The evidence behind the optimal surgical approach to cleft palate repair is minimal, with no gold standard technique identified to date for a certain type of cleft palate. It is essential to appreciate how the complication rates differ between each surgical technique and each time point of repair, in order to optimize the management of these patients. A more critical evaluation of the outcomes of different cleft palate repair methods may also provide insight into more effective surgical approaches for different types of cleft palates.

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)0.008
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.069
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0140.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.043
GPT teacher head0.403
Teacher spread0.360 · 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