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Record W3199712789 · doi:10.1126/scitranslmed.abf7601

Static lung storage at 10°C maintains mitochondrial health and preserves donor organ function

2021· article· en· W3199712789 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueScience Translational Medicine · 2021
Typearticle
Languageen
FieldMedicine
TopicTransplantation: Methods and Outcomes
Canadian institutionsUniversity of TorontoSt. Michael's HospitalToronto General HospitalUniversity Health Network
Fundersnot available
KeywordsLungCold storageMedicineLung transplantationTransplantationVentilation (architecture)PerfusionAndrologyOxygenationAnesthesiaSurgeryBiologyInternal medicine

Abstract

fetched live from OpenAlex

-acetylglutamine were present in greater intensities in lungs stored at 10°C than at 4°C. Analysis of mitochondrial injury markers further confirmed that 10°C storage resulted in greater protection of mitochondrial health. We applied this strategy clinically to prolong preservation of human donor lungs beyond the currently accepted clinical preservation limit of about 6 to 8 hours. Five patients received donor lung transplants after a median preservation time of 10.4 hours (9.92 to 14.8 hours) for the first implanted lung and 12.1 hours (10.9 to 16.5 hours) for the second. All have survived the first 30 days after transplantation. There was no grade 3 primary graft dysfunction at 72 hours after transplantation, and median post-transplant mechanical ventilation time was 1.73 days (0.24 to 6.71 days). Preservation at 10°C could become the standard of care for prolonged pulmonary preservation, providing benefits to both patients and health care teams.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.580
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.034
GPT teacher head0.358
Teacher spread0.324 · 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