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Record W2346892280 · doi:10.1186/s40348-016-0046-6

Mesenchymal stromal cells in the development and therapy of bronchopulmonary dysplasia

2016· review· en· W2346892280 on OpenAlexafffund
Marius A. Möbius, Mario Rüdiger

Bibliographic record

VenueMolecular and Cellular Pediatrics · 2016
Typereview
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsOntario Centre of Excellence for Child and Youth Mental Health
FundersStudienstiftung des Deutschen VolkesUniversity of Ottawa
KeywordsBronchopulmonary dysplasiaMesenchymal stem cellMedicineIntensive care medicineDiseaseClinical trialProgenitor cellStem cellBioinformaticsPathologyPregnancyBiology

Abstract

fetched live from OpenAlex

Bronchopulmonary dysplasia (BPD), the chronic lung disease of prematurity, remains a major healthcare burden. Despite great progresses in perinatal medicine over the past decades, no cure for BPD has been found. The complex pathophysiology of the disease further hampers the development of effective treatment strategies, but recent insights into the biology of mesenchymal stem (MSCs) and progenitor cells in lung development and disease have ignited the hope of preventing or even treating BPD. The promising results of pre-clinical studies have lead to the first early phase clinical trials. However, these treatments are experimental and much more needs to be learned about the mechanism of action and manufacturing of MSCs. In this mini review, we briefly summarize the role of resident and exogenous MSCs in the development and treatment of 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)0.000
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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.043
GPT teacher head0.339
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 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

Citations22
Published2016
Admission routes2
Has abstractyes

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