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Record W2810961767 · doi:10.1111/ctr.13340

Duration of corticosteroid use and long‐term outcomes after adult heart transplantation: A contemporary analysis of the International Society for Heart and Lung Transplantation Registry

2018· article· en· W2810961767 on OpenAlexaff
Lívia Adams Goldraich, Josef Stehlik, Wida S. Cherikh, Leah B. Edwards, Read Urban, Anne I. Dipchand, Heather J. Ross

Bibliographic record

VenueClinical Transplantation · 2018
Typearticle
Languageen
FieldMedicine
TopicTransplantation: Methods and Outcomes
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
FundersInternational Society for Heart and Lung Transplants
KeywordsMedicineHeart transplantationTransplantationImmunosuppressionLung transplantationCohortCohort studySurvival analysisProportional hazards modelInternal medicineSurgeryPediatrics

Abstract

fetched live from OpenAlex

BACKGROUND: Long-term corticosteroid (CS) maintenance remains an effective option for immunosuppression following heart transplantation. We used the International Society for Heart and Lung Transplantation Registry to examine characteristics and long-term survival among heart transplant recipients with different duration of CS therapy. METHODS: Primary adult heart recipients transplanted between 2000 and 2008 who survived at least 5 years were categorized into three groups according to CS use: early withdrawal (≤2 years) (EARLY D/C), late withdrawal (between 2 and 5 years) (LATE D/C), or long-term use (>5 years) (LONG-TERM). Recipient and donor characteristics, post-transplant morbidities, and mortality were compared among groups. Kaplan-Meier was used to estimate survival up to 10 years post-transplant. RESULTS: The study cohort included 8161 recipients (2043 in EARLY D/C; 2031 in LATE D/C; and 4087 in LONG-TERM). LONG-TERM use of CS decreased over time, from 60% in 2000 to 43% in 2008, while EARLY D/C increased from 19% to 33%, respectively. Survival at 10 years after transplant was lower among the LONG-TERM group (73% vs EARLY D/C 82% vs LATE D/C 80%; P < 0.0001). CONCLUSIONS: In this large multinational cohort, the practice of long-term CS maintenance was associated with lower long-term survival compared with shorter CS use.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.699

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.086
GPT teacher head0.406
Teacher spread0.320 · 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

Citations11
Published2018
Admission routes1
Has abstractyes

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