Evidence map›Paper›PMID 36557091›Full record

ReviewMembranes2022

Membrane Applications in Autologous Cell Therapy.

Risto Martin, Rui Lei, Yida Zeng, Jiachen Zhu, Hong Chang, Hua Ye, Zhanfeng Cui

Open access · goldAbstract readReview
In one paragraph

Review in Membranes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. 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

7 authors at 1 institution in 1 country.

Risto MartinDepartment of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford OX3 7DQ, UK.ORCID 0000-0003-1212-365X
Rui LeiDepartment of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford OX3 7DQ, UK.ORCID 0000-0002-9866-2568
Yida ZengOxford Suzhou Centre for Advanced Research (OSCAR), University of Oxford, Suzhou 215123, China.
Jiachen ZhuOxford Suzhou Centre for Advanced Research (OSCAR), University of Oxford, Suzhou 215123, China.
Hong ChangOxford Suzhou Centre for Advanced Research (OSCAR), University of Oxford, Suzhou 215123, China.
Hua YeDepartment of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford OX3 7DQ, UK.ORCID 0000-0001-7613-6041
Zhanfeng CuiDepartment of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford OX3 7DQ, UK.
University of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stem cell and cell therapies, particularly autologous cell therapies, are becoming a common practice. However, in order for these technologies to achieve wide-scale clinical application, the prohibitively high cost associated with these therapies must be addressed through creative engineering. Membranes can be a disruptive technology to reshape the bioprocessing and manufacture of cellular products and significantly reduce the cost of autologous cell therapies. Examples of successful membrane applications include expansions of CAR-T cells, various human stem cells, and production of extracellular vesicles (EVs) using hollow fibre membrane bioreactors. Novel membranes with tailored functions and surface properties and novel membrane modules that can accommodate the changing needs for surface area and transport properties are to be developed to fulfil this key role.

Indexed as

autologous cell therapybioreactorcell culturehollow fibre membrane bioreactor (HFBR)

Identifiers

PMID36557091
PMCPMC9788437
OpenAlexW4310040908

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.