Evidence map›Paper›PMID 30603919›Full record

ArticleCytotechnology2019

A serum-free medium suitable for maintaining cell morphology and liver-specific function in induced human hepatocytes.

Pan-Pan Li, Ce Gu, Bing-Yu Liang, Lin Wang, Yan Zhou, Wen-Song Tan

Abstract read
In one paragraph

Article in Cytotechnology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

6 authors.

Pan-Pan LiState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, 130 Mei-Long Road, P. O. Box 309, Shanghai, 200237, People's Republic of China.
Ce GuState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, 130 Mei-Long Road, P. O. Box 309, Shanghai, 200237, People's Republic of China.
Bing-Yu LiangState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, 130 Mei-Long Road, P. O. Box 309, Shanghai, 200237, People's Republic of China.
Lin WangState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, 130 Mei-Long Road, P. O. Box 309, Shanghai, 200237, People's Republic of China.
Yan ZhouState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, 130 Mei-Long Road, P. O. Box 309, Shanghai, 200237, People's Republic of China. zhouyan@ecust.edu.cn.ORCID http://orcid.org/0000-0002-0488-2173
Wen-Song TanState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, 130 Mei-Long Road, P. O. Box 309, Shanghai, 200237, People's Republic of China.

Funding

Basic Research Key Program Project of Commission of Science and Technology of Shanghai 16JC1400203the National Natural Science Foundation of China 31170951the National Natural Science Foundation of China 81671841the Natural Science Foundation of Shanghai 16ZR1408700
6 · The paper itself

Abstract

hiHep is a new type of hepatocyte-like cell that is predicted to be a potential unlimited source of hepatocytes for a bioartificial liver. However, hiHep cannot currently be used in clinical settings because serum must be added during the culture process. Thus, a defined medium is required. Because serum is complex, an efficient statistical approach based on the Plackett-Burman design was used. In this manner, an original medium and several significant cell growth factors were identified. These factors include insulin, V

Indexed as

Bioartificial liverhiHepMediumSerum-free

Identifiers

PMID30603919
PMCPMC6368503

What OpenQuestion holds

Textmetadata
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.