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Record W2800386732 · doi:10.1055/s-0038-1639371

Mesenchymal Stromal Cell Therapy for Respiratory Complications of Extreme Prematurity

2018· review· en· W2800386732 on OpenAlexaff
Bernard Thébaud

Bibliographic record

VenueAmerican Journal of Perinatology · 2018
Typereview
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsOttawa HospitalChildren's Hospital of Eastern OntarioUniversity of Ottawa
Fundersnot available
KeywordsMedicineBronchopulmonary dysplasiaMesenchymal stem cellCell therapyPopulationClinical trialIntensive care medicineStem cellBioinformaticsPathologyPregnancyGestational age

Abstract

fetched live from OpenAlex

Bronchopulmonary dysplasia remains the main complication of extreme preterm birth. Research over the past 10 years suggests the potential for stem cell-based therapies to prevent and/or restore organ damage in extreme preterm infants. Mesenchymal stromal cells, in particular, have advanced as the forerunner among various cell therapies based on very promising preclinical studies in animal models of neonatal lung injury. Early phase clinical trials are now underway to determine the safety and feasibility of this cell therapy in preterm infants at risk of developing bronchopulmonary dysplasia. This review will summarize the current rationale for testing mesenchymal stromal cells in this patient population and highlight the gaps in our knowledge to safely harness the full repair potential of cell-based therapies.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.986
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.192
GPT teacher head0.469
Teacher spread0.276 · 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 designNot applicable
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

Citations11
Published2018
Admission routes1
Has abstractyes

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