MétaCan
Menu
Back to cohort
Record W3178881447 · doi:10.1111/tid.13684

Lung transplant recipient attitudes and beliefs on accepting an organ that is positive for hepatitis C virus

2021· article· en· W3178881447 on OpenAlexaff
Sapna Humar, Natalia Pinzon, Marcelo Cypel, Susan Abbey

Bibliographic record

VenueTransplant Infectious Disease · 2021
Typearticle
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsMedicineAnxietyHepatitis C virusHepatitis COrgan transplantationLungInternal medicineLikert scaleTransplantationImmunologyVirusPsychiatry

Abstract

fetched live from OpenAlex

INTRODUCTION: Little is known about patient perceptions regarding HCV+ organ use in non-HCV-infected recipients. This study examined factors influencing the decision to accept HCV+ organs and the resulting impacts. METHODS: Adult lung transplant (LT) patients or candidates who had consented to receive an HCV+ organ completed a survey including multiple choice, a five-point Likert scale, and free-text answers. A total of 67 LT recipients or candidates who had consented to receive HCV+ organs were enrolled, of which 21/67 (31%) received HCV+ lungs, 39 (58%) HCV- lungs, and seven (10%) were still waiting. RESULTS: Pre-transplant, 50/67 (75%) patients felt it was either "completely safe" or "very safe" to accept an HCV+ organ. Although 22/67 (33%) said they never or rarely took risks, they still made the decision to accept an HCV+ organ. Common reported reasons were desperation, perception of having "no choice," and increasing symptom severity. In the subset of patients that were transplanted with an HCV+ organ (n = 21), only 12.5% reported second thoughts about accepting. Post-transplant, the majority (87.5%) never felt any anxiety about HCV and most (83%) reported no impact from HCV. Perception of treatment tolerability and ease was highly favorable. CONCLUSION: Use of HCV+ organs demonstrated minimal detrimental perceived impacts on lung transplant patients. Patients generally found the experience to be very positive.

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 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 score0.028
Threshold uncertainty score1.000

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)0.0010.000

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 head0.029
GPT teacher head0.325
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

Citations8
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueTransplant Infectious DiseaseSame topicHepatitis C virus researchFrench-language works237,207