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Record W2419923028 · doi:10.1186/s13643-016-0279-4

Quality metrics in solid organ transplantation: protocol for a systematic scoping review

2016· article· en· W2419923028 on OpenAlexafffund
Kendra Brett, Alexandria Bennett, Nicholas A. Fergusson, Greg Knoll

Bibliographic record

VenueSystematic Reviews · 2016
Typearticle
Languageen
FieldMedicine
TopicRenal Transplantation Outcomes and Treatments
Canadian institutionsUniversity of OttawaOttawa Hospital
FundersCanadian Institutes of Health ResearchUniversity of Ottawa
KeywordsMedicineProtocol (science)TransplantationMEDLINEData extractionQuality (philosophy)Intensive care medicineOrgan transplantationSystematic reviewMedical physicsSurgeryPathologyAlternative medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Transplantation is often the best, if not the only treatment for end-stage organ failure; however, the quality metrics for determining whether a transplant program is delivering safe, high quality care remains unknown. The purpose of this study is to identify and describe quality indicators or metrics in patients who have received a solid organ transplant. METHODS/DESIGN: We will conduct a systematic scoping review to evaluate and describe quality indicators or metrics in patients who have received a solid organ transplant. We will search MEDLINE, Embase, and the Cochrane Central Register for Controlled Trials. Two reviewers will conduct all screening and data extraction independently. The articles will be categorized according to the six domains of quality, and the metrics will be appraised using criteria for a good quality measure. DISCUSSION: The results of this review will guide the development, selection, and validation of appropriate quality metrics necessary to drive quality improvement in transplantation. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42016035353 .

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.023
Threshold uncertainty score0.585

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.180
GPT teacher head0.488
Teacher spread0.308 · 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 teacher head, 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

Citations3
Published2016
Admission routes2
Has abstractyes

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