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Record W4224234413 · doi:10.14740/jh845

COVID-19-Associated Pneumonia in a B-Cell-Depleted Patient With Non-Hodgkin Lymphoma: Recovery With Hyperimmune Plasma

2022· article· en· W4224234413 on OpenAlexvenueno aff
Daniele Colombo, Arianna Gatti, Patrizia Alabardi, Daniela Bompane, Giorgio Bonardi, Nicola Mumoli, Paola Faggioli, Pierangelo Clerici, Bruno Brando, Antonino Mazzone

Bibliographic record

VenueJournal of Hematology · 2022
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 Clinical Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineLymphomaRituximabPrednisoneVincristineCyclophosphamidePneumoniaImmunologyAntibodyCHOPVirologyInternal medicineChemotherapy

Abstract

fetched live from OpenAlex

Coronavirus disease 2019 (COVID-19) can have a severe course in immunocompromised hosts and patients with hematological malignancies. In some cases, the bad prognosis is associated with the lack of B lymphocytes, with impaired antibody production and inefficient viral clearance. We report a case of a 67-year-old woman with a story of non-Hodgkin lymphoma treated with R-CHOP (rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone), who got a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection while being totally depleted of B cells. This condition has determined a severe and prolonged course of COVID-19, with persistently positive nasopharyngeal molecular swabs and lack of anti-SARS-CoV-2 specific antibodies. The clinical recovery was favored by the administration of convalescent hyperimmune plasma.

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)0.001
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.417
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
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 head0.021
GPT teacher head0.329
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.

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

Citations6
Published2022
Admission routes1
Has abstractyes

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