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Record W2917813788 · doi:10.1111/ctr.13498

Parvovirus B19‐induced severe anemia in heart transplant recipients: Case report and review of the literature

2019· review· en· W2917813788 on OpenAlexaff
Natalia C Pinto, Clarissa Newman, Carlos A. Gómez, Kiran K. Khush, Yasbanoo Moayedi, Roy Lee, Jeffrey J. Teuteberg, José G. Montoya

Bibliographic record

VenueClinical Transplantation · 2019
Typereview
Languageen
FieldMedicine
TopicParvovirus B19 Infection Studies
Canadian institutionsTed Rogers Centre for Heart ResearchUniversity Health Network
Fundersnot available
KeywordsAnemiaParvovirusMedicineImmunosuppressionEtiologyHeart transplantationTransplantationImmunologyInternal medicineVirus

Abstract

fetched live from OpenAlex

We report a case of a 64-year-old woman who developed transfusion-dependent anemia after cardiac transplantation, the etiology of which was unknown after initial comprehensive evaluation. At the suggestion of the Transplant Infectious Diseases consultant, microbial agents with red blood cell tropism pertinent to this patient such as Parvovirus B 19 (B19V) were investigated. The B19V viral load by PCR in peripheral blood was >100 000 000 copies/ml and after treatment with intravenous immunoglobulin (IVIG), her anemia resolved. Here, we summarize the clinical and virologic characteristics, treatment, and outcome of fifteen cases of B19V-induced anemia in heart transplant recipients. Spontaneous recovery from anemia secondary to B19V has also been reported in some heart transplant recipients, possibly due to an absence of their B19V P-antigen receptor and/or reduction in their immunosuppression. Therefore, in heart transplant patients, B19V should be suspected early as a cause of severe anemia of unknown etiology. The extent that B19V-induced anemia is underdiagnosed in heart transplant recipients is unknown.

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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.005
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.167
GPT teacher head0.466
Teacher spread0.299 · 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
GenreReview

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

Citations18
Published2019
Admission routes1
Has abstractyes

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