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Record W2515528559 · doi:10.1055/s-0036-1586115

Mesenchymal Stromal Cell-Based Therapies for Chronic Lung Disease of Prematurity

2016· review· en· W2515528559 on OpenAlexaff
Lannae Strueby, Bernard Thébaud

Bibliographic record

VenueAmerican Journal of Perinatology · 2016
Typereview
Languageen
FieldMedicine
TopicCongenital Diaphragmatic Hernia Studies
Canadian institutionsOttawa HospitalChildren's Hospital of Eastern OntarioUniversity of OttawaUniversity of Saskatchewan
Fundersnot available
KeywordsMedicineBronchopulmonary dysplasiaMesenchymal stem cellStem cellUmbilical cordLungClinical trialDiseaseIntensive care medicineBioinformaticsPregnancyPathologyImmunologyInternal medicineGestational age

Abstract

fetched live from OpenAlex

Advances in perinatal care allow the survival of ever more premature infants. By approaching the biological limit of viability, survival free of injury becomes more challenging. As a consequence, bronchopulmonary dysplasia (BPD), the chronic lung disease of prematurity, remains one of the main complications in infants born before 28 weeks' gestation. Currently, there is no treatment for BPD. Recent progress in understanding the biology of stem cells has opened unprecedented therapeutic options to mitigate lung injury and promote lung growth. Perinatal tissue, such as the umbilical cord and the placenta, represents a rich source of potent repair cells. Thus far, mesenchymal stromal cell (MSC)-based therapies demonstrate the most potential for protecting the developing lung from injury. Preclinical evidence supporting this potential therapeutic role has provided the basis for the initiation of phase I and II clinical trials in preterm neonates. This brief review summarizes the current knowledge accumulated over the past 10 years about MSCs and their repair potential in BPD.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.019
GPT teacher head0.355
Teacher spread0.335 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations10
Published2016
Admission routes1
Has abstractyes

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