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Record W2789029298 · doi:10.1038/bdjopen.2017.23

Effectiveness of prosthodontic interventions and survival of remaining teeth in adult patients with shortened dental arches—Protocol for a systematic review and meta-analysis

2018· review· en· W2789029298 on OpenAlexfundno aff
Conor McLister, Michael Donnelly, Chris R. Cardwell, Ciarán Moore, Gerald McKenna

Bibliographic record

VenueBDJ Open · 2018
Typereview
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsnot available
FundersQueen's UniversityMedical Research CouncilPublic Health AgencyQueen's University Belfast
KeywordsPsychological interventionProtocol (science)MedicineMeta-analysisSystematic reviewMEDLINEDentistryAlternative medicineNursingPathology

Abstract

fetched live from OpenAlex

AIMS/OBJECTIVES: To evaluate studies of the effectiveness of different tooth replacement strategies in adult patients with shortened dental arches (SDA). Specifically, the objectives of the proposed review are to determine the survival rates of different prosthodontic interventions; the risk of tooth loss with and without different prosthodontic interventions; and the impact of different tooth replacement strategies on oral-health related quality of life (OHRQoL). MATERIALS AND METHODS: The protocol has been registered with the International Prospective Register of Systematic Reviews (PROSPERO), and was developed in accordance with the guidelines of the Preferred Reporting Items for Systematic Review and Meta-analyses Protocols (PRISMA-P). Studies will be selected according to outlined eligibility criteria including types of studies, participants, interventions, comparators and outcomes. Specific search strategies will be created and data collection and analysis will be undertaken by two independent reviewers. DISCUSSION: The review will assess the body of evidence for clinical decision making in patients with SDA and reduced dentitions, by comparing the effectiveness of different tooth replacement strategies. In addition, it will assess the influence of patients in this decision making, help to inform subsequent cost-effectiveness analyses, identify areas of further research and hopefully inform future healthcare policy.

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)0.046
metaresearch head score (Gemma)0.077
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.046
Threshold uncertainty score0.243

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0460.077
Meta-epidemiology (narrow)0.0060.004
Meta-epidemiology (broad)0.0220.029
Bibliometrics0.0080.007
Science and technology studies0.0030.003
Scholarly communication0.0070.005
Open science0.0040.004
Research integrity0.0070.006
Insufficient payload (model declined to judge)0.0370.004

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 head0.186
GPT teacher head0.487
Teacher spread0.302 · 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 designSystematic review
Domainnot available
GenreProtocol

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

Citations1
Published2018
Admission routes1
Has abstractyes

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