Evidence map›Paper›PMID 32140248›Full record

ArticleFuture science OA2020

Stem cells out of the bag: characterization of

Sérgio M Lopes, Susana Roncon, Filipa Bordalo, Fátima Amado, Sara Ferreira, Ana C Pinho, Joana Vieira, Altamiro Costa-Pereira

Abstract read
In one paragraph

Article in Future science OA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Circular RNAs: typical biomarkers for bone-related diseases.Journal of Zhejiang University. Science. B · 2022
    Article
  2. Review
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

8 authors.

Sérgio M LopesCellular Therapy Department, Instituto Português de Oncologia do Porto, Porto, Portugal.ORCID https://orcid.org/0000-0002-4002-1071
Susana RonconCellular Therapy Department, Instituto Português de Oncologia do Porto, Porto, Portugal.
Filipa BordaloCellular Therapy Department, Instituto Português de Oncologia do Porto, Porto, Portugal.
Fátima AmadoCellular Therapy Department, Instituto Português de Oncologia do Porto, Porto, Portugal.
Sara FerreiraCellular Therapy Department, Instituto Português de Oncologia do Porto, Porto, Portugal.
Ana C PinhoCellular Therapy Department, Instituto Português de Oncologia do Porto, Porto, Portugal.
Joana VieiraGenetics Department, Instituto Português de Oncologia do Porto, Porto, Portugal.
Altamiro Costa-PereiraCenter for Health Technology & Services Research (CINTESIS), Faculty of Medicine, University of Porto, Porto, Portugal; Department of Community Medicine, Information & Health Decision Sciences (MEDCIDS), Faculty of Medicine, University of Porto, Porto, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimMesenchymal stromal cells (MSC) are a promising tool for cellular therapy and regenerative medicine. One major difficulty in establishing a MSC expansion protocol is the large volume of bone marrow (BM) required. We studied whether cells trapped within a collection bag and filter system could be considered as a source of MSC.

resultsFrom the 20 BM collection bag and filter systems, we recovered an average of 1.68 × 10

conclusionLong-term MSC cultures were established from the usually discarded BM collection bag and filter, maintaining an appropriate phenotype and function, being suitable for both investigation and clinical settings.

Indexed as

adipogenic differentiationbone marrowcollection bagfilter systemmesenchymal stromal cellsmixed lymphocyte reactionmononuclear cellsMSC

Identifiers

PMID32140248
PMCPMC7050601

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.