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Record W3020666537 · doi:10.14740/jh628

Factors Associated With Umbilical Cord Blood Collection Quality in Japan

2020· article· en· W3020666537 on OpenAlexvenueno aff
Shunji Suzuki, Takafumi Kimura, Sumiko Hara, Fumihiko Ishimaru, Minoko Takanashi

Bibliographic record

VenueJournal of Hematology · 2020
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineUmbilical cordOdds ratioConfidence intervalMultivariate analysisCord bloodBlood collectionSurgeryInternal medicineImmunologyEmergency medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Umbilical cord blood (UCB) has become an established alternative source of hematopoietic stem cells with marrow and postmobilization peripheral blood. The presence of a large amount of clots may lead to the deterioration of cord blood quality. To improve UCB quality as a source of hematopoietic stem cells in Japan, we examined factors associated with UCB collection methods from the viewpoint of eliminating the presence of clots. METHODS: In August 2019, we requested the directors of 74 certified facilities to provide information on UCB collection methods in Japan. A total of 46 (62.2%) of them responded with valid information on a total of 2,892 UCB collections. In this study, collected UCB without clots macroscopically was evaluated as a high-quality UCB. RESULTS: The 2,891 UCB collections described during the study period were divided to those with (n = 760, 26.3%) and without clots (high quality; n = 2,131, 73.7%). Multivariate analysis revealed single puncture as a factor determining high-quality UCB collection (adjusted odds ratio (ORs): 1.80, 95% confidence interval (CI): 1.3 - 5.4, P = 0.01). CONCLUSIONS: Single puncture is an independent effective factor determining high-quality manual UCB collection in Japan.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.038
Threshold uncertainty score0.306

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.074
GPT teacher head0.326
Teacher spread0.252 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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