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Record W3046408814 · doi:10.1111/hdi.12859

Long‐term effects of <scp>COVID</scp>‐19 in a patient on maintenance dialysis

2020· article· en· W3046408814 on OpenAlexvenueno aff
Gaetano Alfano, Rossella Perrone, Francesco Fontana, Giacomo Mori, Leonardo Lucchi, Giovanni Guaraldi, Riccardo Magistroni, Gianni Cappelli

Bibliographic record

VenueHemodialysis International · 2020
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 Clinical Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSeroconversionDialysisHemodialysisOutbreakDiseaseIsolation (microbiology)Internal medicineInfectious disease (medical specialty)Intensive care medicineImmunologyAntibodyVirologyBioinformatics

Abstract

fetched live from OpenAlex

Coronavirus infectious disease (COVID-19) is a novel respiratory infection highly associated with severe complications in elderly subjects affected by cardiovascular disease. Patients on maintenance dialysis are exceptionally vulnerable because most of them are old and have multiple comorbidities. We report the complex clinical course of SARS-CoV-2 infection in a patient on maintenance dialysis who presented with fever and lung edema. After 41 days from the primary infection, the clinically recovered patient experienced symptomatic reactivation of SARS-COV-2 infection documented by positive polymerase chain reaction (PCR) result on nasal/oropharyngeal swab along with immunoglobulin M seroconversion. The recurrence of PCR positivity forced us to perform hemodialysis in a separate isolation room for a prolonged period of time. Close monitoring of previously infected patients and restructuring of dialysis facilities are necessary to avoid new outbreaks of this concerning disease.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.031
GPT teacher head0.364
Teacher spread0.332 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations11
Published2020
Admission routes1
Has abstractyes

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