MétaCan
Menu
Back to cohort
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 OpenAlex
Ian Pang, Sanjay Singhabahu, Igor Novitzky‐Basso, Tony Mazzulli, Shahid Husain, Jonas Mattsson

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.609
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0020.000

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