Evidence map›Paper›PMID 36976208›Full record

ArticleMarine drugs2023

Extraction and Characterization of Pepsin- and Acid-Soluble Collagen from the Swim Bladders of

Chou Mo, Qiaoli Wang, Guangfeng Li, Wanwen Dong, Feng Liang, Chaoxi Wu, Zhiping Wang, Yifei Wang

Open access · goldAbstract read
In one paragraph

Article in Marine drugs, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
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  5. Review
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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

8 authors at 2 institutions in 1 country.

Chou MoGuangdong Provincial Key Laboratory of Advanced Drug Delivery, Guangdong Provincial Engineering Center of Topical Precise Drug Delivery System, Guangdong Pharmaceutical University, Guangzhou 510006, China.
Qiaoli WangDepartment of Cell Biology, College of Life Science and Technology, Jinan University, Guangzhou 510632, China.
Guangfeng LiDepartment of Cell Biology, College of Life Science and Technology, Jinan University, Guangzhou 510632, China.
Wanwen DongGuangdong Provincial Key Laboratory of Advanced Drug Delivery, Guangdong Provincial Engineering Center of Topical Precise Drug Delivery System, Guangdong Pharmaceutical University, Guangzhou 510006, China.
Feng LiangGuangzhou Jinan Biomedical Research and Development Center Co., Ltd., Guangzhou 510000, China.
Chaoxi WuDepartment of Cell Biology, College of Life Science and Technology, Jinan University, Guangzhou 510632, China.
Zhiping WangGuangdong Provincial Key Laboratory of Advanced Drug Delivery, Guangdong Provincial Engineering Center of Topical Precise Drug Delivery System, Guangdong Pharmaceutical University, Guangzhou 510006, China.
Yifei WangGuangdong Provincial Key Laboratory of Advanced Drug Delivery, Guangdong Provincial Engineering Center of Topical Precise Drug Delivery System, Guangdong Pharmaceutical University, Guangzhou 510006, China.
Guangdong Pharmaceutical University · CNJinan University · CN

Funding

Guangdong Pharmaceutical University 202210573062
6 · The paper itself

Abstract

There is a growing demand for the identification of alternative sources of collagen not derived from land-dwelling animals. The present study explored the use of pepsin- and acid-based extraction protocols to isolate collagen from the swim bladders of

Indexed as

Pepsin APerciformesAcidsAnimalsCollagenCollagen Type IFish ProteinsMammalsSkinSolubilityAcidsCollagenCollagen Type IFish ProteinsPepsin AcharacterizationcollagenMegalonibea fusca swim bladdersstructure

Identifiers

PMID36976208
PMCPMC10059086
OpenAlexW4322501744

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.