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Record W1966876364 · doi:10.1111/clr.12254

Focusing on outcomes and methods in removable prosthodontics trials: a systematic review

2013· review· en· W1966876364 on OpenAlexaff
Raphael Freitas de Souza, Motahareh Ahmadi, Adriana Barbosa Ribeiro, Elham Emami

Bibliographic record

VenueClinical Oral Implants Research · 2013
Typereview
Languageen
FieldDecision Sciences
TopicMeta-analysis and systematic reviews
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsProsthodonticsRandomized controlled trialBlindingMedicineConsolidated Standards of Reporting TrialsSystematic reviewMEDLINEPhysical therapyDentistrySurgery

Abstract

fetched live from OpenAlex

OBJECTIVES: The aim of this study was to systematically examine the outcomes of interest of trials in removable prosthodontics and to assess their overall quality. MATERIAL AND METHODS: Electronic databases were searched up to August 2011 and complemented by hand searching for published randomized controlled trials (RCTs) in the field of removable prosthodontics in the six major prosthodontic and implant journals. The primary outcome of RCTs was considered as the outcome of interest of this review, and only manuscripts in which the study's primary outcome was reported in the abstract were included. Outcomes were classified according to the Strength of Recommendation Taxonomy (SORT) classification. The quality of individual reports of RCTs was assessed following the Cochrane Handbook for Systematic Reviews of Interventions (Higgins & Green, www.cochrane-handbook.org). RESULTS: The search retrieved 86 reports of RCTs. Among these publications, 43% reported a patient-oriented primary outcome. Most of the publications did not present a clear description of sequence generation (54%) or allocation concealment (65%). Blinding of participants, clinicians, and outcomes assessors was not applicable or reported in most trials. Handling of withdrawals and losses was adequate in 52% of trials. CONCLUSIONS: Although published RCTs in removable prosthodontics have increased over time, efforts should be made to increase patient-reported outcomes and the methodological quality of these reports. Such improvement will lead to a better body of evidence in the field, thus providing increased support for clinical decision-making.

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)0.878
metaresearch head score (Gemma)0.845
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Meta-epidemiology (broad), Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Insufficient payload (model declined to judge)
DomainCandidate signal: Methods · Consensus signal: Methods
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.598
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.8780.845
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0810.009
Bibliometrics0.0020.005
Science and technology studies0.0000.000
Scholarly communication0.0030.000
Open science0.0050.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.012

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 head0.992
GPT teacher head0.841
Teacher spread0.151 · 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; both teacher heads agree on what is shown here.

Study designSystematic review
DomainMethods
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

Citations20
Published2013
Admission routes1
Has abstractyes

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