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Record W3081852049 · doi:10.22374/jeleu.v3i3.96

The COVID Stones Collaborative: How has the Management of Ureteric Stones Changed During and After the COVID-19 Pandemic? Rationale and Study Protocol

2020· article· en· W3081852049 on OpenAlexvenueno aff
Fanourios Georgiades, Matthew H V Byrne, Catherine Lovegrove, Tobias Klatte, Kasra Saeb‐Parsy, Sarah Howles, Grant D. Stewart, Benjamin W. Turney, Oliver Wiseman

Bibliographic record

VenueJournal of Endoluminal Endourology · 2020
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare cost, quality, practices
Canadian institutionsnot available
Fundersnot available
KeywordsPandemicCoronavirus disease 2019 (COVID-19)MedicineCohortCohort studySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)DiseaseInternal medicineInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Background and objectives The coronavirus disease 2019 (COVID-19) pandemic is having a significant impact on healthcare delivery. As a result, management of patients with ureteric stones has likely been affected. We report our study protocol for the investigation of ureteric stone management during and after the COVID-19 pandemic. Material and methods The COVID Stones study is a multicenter national cohort study of the management and outcomes of patients with ureteric stones before, during, and after the COVID-19 pandemic in the United Kingdom. The study will consist of three data collection periods, pre-pandemic (“pre-COVID”), pandemic (“COVID”), and post-pandemic (“post-COVID”). This will allow quantification of what “normal” was, how this has changed, and to capture any persisting changes in management. The primary outcome evaluating the success rate of the initial treatment decision will be assessed following a 6-month follow-up from the time of first presentation and will be performed for each recruited patient from each of the three data collection periods. This will allow comparison between both management and outcomes before, during, and after the pandemic. Conclusions We anticipate that this study will lead to an increased understanding of the impact of the outcomes of emergency management of ureteric stones following changes in clinical practice due to the COVID-19 pandemic health provision restrictions.

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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.358
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.536
GPT teacher head0.529
Teacher spread0.006 · 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.

Study designObservational
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

Citations3
Published2020
Admission routes1
Has abstractyes

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