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Record W3121622351 · doi:10.21203/rs.3.rs-91210/v1

Clinical efficacy of corticosteroids in the early stage of worsening of COVID-19 pneumonia

2020· preprint· en· W3121622351 on OpenAlexaff
Zheng Liu, Hui Wang, Jiaqi Liu, Qian Wang, Jing Li, Cui-Jiao Jia, Chang-Lang Gao, Jianmin Li, Dongfang Zhao

Bibliographic record

VenueResearch Square (Research Square) · 2020
Typepreprint
Languageen
FieldMedicine
TopicCOVID-19 Clinical Research Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsARDSCytokine stormMedicinePneumoniaCoronavirus disease 2019 (COVID-19)DexamethasoneIntensive care medicineViral pneumoniaCorticosteroidStage (stratigraphy)MethylprednisoloneRandomized controlled trialRespiratory distressDiseaseInternal medicineLungSurgeryInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Abstract Background: The World Health Organization (WHO) recommends using corticosteroids in patients with severe coronavirus disease 2019 (COVID-19) and acute respiratory distress syndrome (ARDS), and a large randomized controlled clinical trial in the UK found that dexamethasone was effective in reducing the number of deaths in patients with severe COVID-19. Case presentation: Herein, we described a case of COVID-19 with the clinical characteristics of the mild-symptomatic stage deteriorating to a critically ill state, who showed dramatic improvement with corticosteroids in the early stage of worsening of COVID-19 pneumonia. Discussion: This article further discusses the most suitable timing and dosage of corticosteroid to maximize its effect during the worsening of COVID-19 pneumonia.Learning points:• One of the main pathophysiological hypotheses for severe COVID-19 pneumonia is related to cytokine storm and viral load.• The clinical factors should be considered as the initial sign of a cytokine storm, and corticosteroid therapy may be useful in these patients.

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)0.078
metaresearch head score (Gemma)0.461
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Open science, Research integrity
Consensus categoriesMetaresearch, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.384
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0780.461
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0040.007
Science and technology studies0.0000.009
Scholarly communication0.0000.000
Open science0.0050.011
Research integrity0.0010.019
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 head0.364
GPT teacher head0.591
Teacher spread0.227 · 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 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

Citations0
Published2020
Admission routes1
Has abstractyes

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