Evidence map›Paper›PMID 35690786›Full record

ArticleStem cell research & therapy2022

Predictors of cord blood unit cell content in a volume unrestricted large series collections: a chance for a fast and cheap multiparameter selection model.

Stefania Fumarola, Alessandra Lucarini, Giovanna Lucchetti, Luana Piroli, Luca Pierelli

Open access · goldAbstract read
In one paragraph

Article in Stem cell research & therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Stefania FumarolaInScientiaFides Foundation, San Marino, Republic of San Marino. stefania.fumarola@inscientiafides.com.
Alessandra LucariniInScientiaFides Foundation, San Marino, Republic of San Marino.
Giovanna LucchettiInScientiaFides Foundation, San Marino, Republic of San Marino.
Luana PiroliInScientiaFides Foundation, San Marino, Republic of San Marino.
Luca PierelliDepartment of Experimental Medicine, Sapienza University, Rome, Italy.
University of the Republic of San Marino · SMSapienza University of Rome · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCord blood plays a very important role in stem cell transplantation and therapy with an emerging implication also in regenerative medicine. The number of cells available in a single cord blood unit (CBU), in particular, the CD34+ and total nucleated cell (TNC) content influences the transplantation clinical outcome. We analysed a very large series of CBUs, collected for private banking without any specific volume restriction, to deeply investigate the best predictors of cord blood stem cells content.

methodsMaternal and neonatal clinic laboratory data of a total 2583 UCBs were obtained from the InScientiaFides cord blood bank based in Republic of San Marino. Univariate and multivariate analysis were conducted to better interpret the data and to build a predictive model to select, the CBU with high CD34+ content.

resultsOur univariate analysis shows that seasonality and the geographical area affects the quality of umbilical cord blood. Gestational age, babie's gender and birth weight have a positive correlation with CB TNC content. The babie's birth weight affects positively also CD34+ content and CBU volume while the cesarean delivery affect the CB volume only. Our predictive model, based on multivariate analysis, shows that male babie's, gestational age lower to 39 weeks, cesarean delivery and CBUs with a content of TNC higher than 3.44 × 10

conclusionThis study, conducted on a very large series of CBUs without any specific volume constraint, highlighted the prenatal and maternal factors that significantly influence the quality of the CBU collected. Specifically, it highlights that volume is not the best predictor of CD34+ CBU content; for this reason it cannot be taken into consideration alone for the analysis of the collected samples. Our final aim is to identify relevant factors, immediately available, that help to choice UCB with high CD34+ cell content, especially in simultaneous deliveries.

Indexed as

Blood BanksFetal BloodAntigens, CD34Birth WeightFemaleGestational AgeHumansInfantInfant, NewbornMalePregnancyAntigens, CD34CD34+NewbornPredictive modelPrenatal and maternal factorsTNCTransfusionUmbilical cord bloodVolume

Identifiers

PMID35690786
PMCPMC9188136
OpenAlexW4282929630

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.