MétaCan
Menu
Back to cohort
Record W4292731067 · doi:10.14740/gr1551

The Safety of the Re-Opening of an Academic Medical Center Outpatient Endoscopy Unit During the COVID-19 Pandemic

2022· article· en· W4292731067 on OpenAlexvenueno aff
Scott Manski, Christopher J. Schmoyer, Alice Pang, Joshua A. Lieberman, Micaela Gernhardt, Elizabeth Conn, Neveda Murugesan, Alexandra Leto, Ryan Erwin, Taylor Kavanagh, Mitchell Conn

Bibliographic record

VenueGastroenterology Research · 2022
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 and healthcare impacts
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEndoscopyCoronavirus disease 2019 (COVID-19)PandemicApprehensionOutpatient clinicPersonal protective equipmentEmergency medicinePatient safetyHealth careMedical emergencySurgeryDiseaseInternal medicineInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Background: The coronavirus disease 2019 (COVID-19) pandemic has spread globally leading to over 3,700,000 deaths. As COVID-19 cases stabilized, the re-opening of endoscopy centers potentially exposed patients and healthcare workers to viral infection. This study aims to determine risk of COVID-19 exposure among patients undergoing outpatient endoscopies in a tertiary care setting during the COVID-19 pandemic. Methods: Patients undergoing outpatient endoscopy were contacted post-procedure for any new COVID-19 symptoms or COVID-19 test results. Patient experiences and perception of personal safety were also determined. Results: Of the 1,584 patients who completed elective endoscopy, 996 (62.9%) completed the survey. Two patients were diagnosed with COVID-19 within 14 days of procedure. The majority (99.7%) felt safe during their procedure and apprehension regarding endoscopy decreased over time. Conclusion: Thus, the risk of COVID-19 transmission during outpatient endoscopy is extremely low when following recommended society guidelines. Patients felt safe during the procedure and experienced less fear of exposure over time.

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)0.009
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0010.000

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 head0.191
GPT teacher head0.486
Teacher spread0.295 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueGastroenterology ResearchSame topicCOVID-19 and healthcare impactsFrench-language works237,207