Evidence map›Paper›PMID 39462979›Full record

ReviewCell transplantation

Challenges of Cell Counting in Cell Therapy Products.

Muyun Liu, Wanglong Chu, Tao Guo, Xiuping Zeng, Yan Shangguan, Fangtao He, Xiao Liang

Abstract readReview
In one paragraph

Review in Cell transplantation. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  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.

Muyun LiuNational Engineering Research Center of Foundational Technologies for CGT Industry, Shenzhen, People's Republic of China.
Wanglong ChuShenzhen Beike Biotechnology Co., Ltd., Shenzhen, People's Republic of China.
Tao GuoShenzhen Beike Biotechnology Co., Ltd., Shenzhen, People's Republic of China.
Xiuping ZengShenzhen Beike Biotechnology Co., Ltd., Shenzhen, People's Republic of China.
Yan ShangguanShenzhen Beike Biotechnology Co., Ltd., Shenzhen, People's Republic of China.
Fangtao HeShenzhen Beike Biotechnology Co., Ltd., Shenzhen, People's Republic of China.
Xiao LiangShenzhen Beike Biotechnology Co., Ltd., Shenzhen, People's Republic of China.ORCID 0009-0000-7453-3406

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell counting is a common and fundamental cell measurement technique that plays a crucial role in the development and quality control of cell therapy products. However, accurate and reliable cell counting can be challenging owing to the complexity of cell preparations, diverse counting purposes, and various counting methods. This review summarizes the challenges encountered in cell counting for cell therapy products and provides strategies to improve the cell counting accuracy, thereby guiding the counting process and ensuring the quality of cell therapy products.

Indexed as

Cell- and Tissue-Based TherapyAnimalsCell CountHumansQuality Controlcell countingcell therapy productschallengesstrategies

Identifiers

PMID39462979
PMCPMC11520012

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.