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Record W4416633544 · doi:10.1111/tid.70141

Acute Fever Early Post Renal Transplantation—A Call From the Tropics

2025· article· en· W4416633544 on OpenAlexaff
Rahana Abd Rahman, Ban Hock Tan, Daniel Wagner de Castro Lima Santos, Sadid F Khan, Wanessa Trindade Clemente, Siriorn P. Watcharananan

Bibliographic record

VenueTransplant Infectious Disease · 2025
Typearticle
Languageen
FieldMedicine
TopicMosquito-borne diseases and control
Canadian institutionsASTER
Fundersnot available
KeywordsDengue feverDengue virusVaccinationTransmission (telecommunications)LeptospirosisAcute kidney injuryKidney transplant

Abstract

fetched live from OpenAlex

Infection with Dengue virus (DENV)is a growing concern in solid organ transplant (SOT) recipients in endemic regions. We report a 15-year-old kidney transplant recipient who developed fever and thrombocytopenia on post-transplant day five; DENV NS1 antigen confirmed acute infection. He recovered with supportive care, and no donor-derived transmission was identified. A review of 327 cases shows early post-transplant dengue carries higher risks of cytopenias, capillary leak, graft dysfunction, and mortality (6.1%) versus the general population. Improved diagnostics, outbreak-responsive donor screening, and pre-transplant vaccination in immunocompetent candidates may help mitigate dengue burden in SOT 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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.784

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)0.0000.000

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 head0.004
GPT teacher head0.234
Teacher spread0.230 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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