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Record W4293194610 · doi:10.1016/j.idcr.2022.e01608

Intrathecal cytomegalovirus immunoglobulin for CMV encephalitis post allogeneic stem cell transplantation

2022· article· en· W4293194610 on OpenAlexaff
Ian Pang, Sanjay Singhabahu, Igor Novitzky‐Basso, Tony Mazzulli, Shahid Husain, Jonas Mattsson

Bibliographic record

VenueIDCases · 2022
Typearticle
Languageen
FieldMedicine
TopicCytomegalovirus and herpesvirus research
Canadian institutionsToronto General HospitalUniversity Health NetworkSinai Health SystemPrincess Margaret Cancer Centre
Fundersnot available
KeywordsFoscarnetMedicineGanciclovirCytomegalovirusAntibodyEncephalitisIntrathecalImmunologyTransplantationAdverse effectIntravenous ImmunoglobulinsBetaherpesvirinaeVirologyHerpesviridaeVirusHuman cytomegalovirusInternal medicineViral diseaseSurgery

Abstract

fetched live from OpenAlex

We report the outcome of a 43 year old man who developed fatal ventriculoencephalitis due to cytomegalovirus (CMV) infection 7 months post allogeneic stem cell transplant. He failed multiple lines of treatment, including intravenous ganciclovir, foscarnet, and CMV-specific immunoglobulins, without improvement in CSF CMV copies. Novel intrathecal administration of CMV immunoglobulins was given but did not lead to clearance of CMV from CSF. No adverse effects related to intrathecal CMV immunoglobulins were observed. Notably, throughout this period, CMV in blood remained undetectable. This case highlights the difficulty in treating CMV encephalitis, and that novel therapeutic approaches are needed.

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 score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0020.002
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 head0.030
GPT teacher head0.299
Teacher spread0.270 · 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

Citations5
Published2022
Admission routes1
Has abstractyes

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