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Record W4313312453 · doi:10.1111/ctr.14896

Serologic follow‐up of solid organ transplant recipients who received organs from donors with reactive syphilis tests: A retrospective cohort study

2022· article· en· W4313312453 on OpenAlexaff
Oscar A. Fernández‐García, Ameeta E. Singh, Jennifer Gratrix, Petra Smyczek, Karen Doucette

Bibliographic record

VenueClinical Transplantation · 2022
Typearticle
Languageen
FieldMedicine
TopicSyphilis Diagnosis and Treatment
Canadian institutionsAlberta Health ServicesAlberta HealthUniversity of Alberta
Fundersnot available
KeywordsMedicineSyphilisSerologySeroconversionTreponemaTransplantationImmunologyInternal medicineAntibodyHuman immunodeficiency virus (HIV)

Abstract

fetched live from OpenAlex

The increased procurement of organs from donors with risk factors for blood-borne diseases and the expanding syphilis epidemic have resulted in a growing number of organs transplanted from donors with reactive syphilis serology in our center. Based on guidelines, recipients typically receive therapy shortly after the transplant, but data on outcomes are limited. The primary objective of this study was to determine syphilis seroconversion rates at three months post-transplant in recipients of solid organs procured from donors with reactive syphilis serology. Organ donors and recipients were tested for syphilis antibody; positive results were confirmed with Treponema pallidum Particle Agglutination (TPPA). Eleven donors with reactive syphilis antibody donated organs to 25 syphilis negative recipients. Three recipients seroconverted at post-transplant month 3. All of them had received therapy shortly after transplant. TPPA was negative in all 3. Despite post-transplant treatment, 3 of 25 (12%) syphilis negative recipients of organs from syphilis positive donors seroconverted at 3 months. All remained TPPA negative possibly reflecting passive antibody transfer or differing test sensitivity to low level treponemal antibodies. Further studies are needed to assess optimal syphilis transmission prevention strategies and follow up recipient testing in organ transplantation.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.043
GPT teacher head0.341
Teacher spread0.297 · 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.

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

Citations5
Published2022
Admission routes1
Has abstractyes

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