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Record W3087823558 · doi:10.1177/1751143720961244

Effect of awake prone positioning in hypoxaemic adult patients with COVID-19

2020· article· en· W3087823558 on OpenAlexaff
Nicola Kelly, Alexandra Curtis, Sam Douthwaite, Anna L. Goodman, Luigi Camporota, Richard Leach, Nicholas Hart, Guy Glover

Bibliographic record

VenueJournal of the Intensive Care Society · 2020
Typearticle
Languageen
FieldMedicine
TopicRespiratory Support and Mechanisms
Canadian institutionsSt. Thomas Hospital
FundersMedical Research Council
KeywordsCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakMedicineInternal medicineVirologyOutbreak

Abstract

fetched live from OpenAlex

Although advocated in patients with COVID-19, evidence supporting awake prone positioning (APP) is limited.We investigated the effect of APP on 17 hypoxaemic patients with COVID-19.APP was associated with an increase in SpO2/FiO2 ratio (27.8 [6.3-82.3];p<0.001),SpO2/FiO2 x respiratory rate -1 (ROX index), (3.1 [1.4-4.1];p<0.001) and PaO2/FiO2 ratio (9.8kPa, [2.2-13.1];p=0.016, p.adj=0.047).Estimated shunt fraction decreased whilst prone (-8.9% [-18.2--7.3];p=0.031, p.adj=0.094), but reverted to baseline levels upon supination.In conclusion, APP effectively improves respiratory physiology and clinical trials are required to evaluate the clinical effectiveness.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.703
Threshold uncertainty score0.242

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.010
GPT teacher head0.270
Teacher spread0.260 · 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 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

Citations8
Published2020
Admission routes1
Has abstractyes

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