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Record W1985584265 · doi:10.1086/444398

A Prospective Assessment of Valganciclovir for the Treatment of Cytomegalovirus Infection and Disease in Transplant Recipients

2005· article· en· W1985584265 on OpenAlexaff
Atul Humar, Deborah Siegal, George Moussa, Deepali Kumar

Bibliographic record

VenueThe Journal of Infectious Diseases · 2005
Typearticle
Languageen
FieldMedicine
TopicCytomegalovirus and herpesvirus research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsValganciclovirGanciclovirCytomegalovirusMedicineInternal medicineTransplantationHuman cytomegalovirusGastroenterologyImmunologyHerpesviridaeViral diseaseVirus

Abstract

fetched live from OpenAlex

We assessed valganciclovir for the treatment of cytomegalovirus (CMV) in organ-transplant recipients. Virologic and clinical outcomes were compared with those in matched historical control individuals. Thirty-two patients (23 with symptomatic disease) received valganciclovir, and 32 patients received intravenous (iv) ganciclovir. The rate of virologic clearance by day 21 of therapy was similar in the valganciclovir arm (50.0%) and the ganciclovir arm (46.9%) (P value not significant). The change from baseline viral load by day 7 and day 14 of therapy was similar in both arms. Two patients treated with valganciclovir required a switch to iv ganciclovir, because of a lack of response. Valganciclovir is useful for the treatment of CMV infection and disease in selected organ-transplant recipients.

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.020
GPT teacher head0.336
Teacher spread0.316 · 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 designNon-randomized trial
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

Citations52
Published2005
Admission routes1
Has abstractyes

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