Evidence map›Paper›PMID 35515955›Full record

ArticleRSC advances2019

Tussah silkmoth pupae improve anti-tumor properties of

Zhixin Wen, Xingfan Du, Nan Meng, Yajie Li, Rui Mi, Xuejun Li, Yongxin Sun, Shuhui Ma, Shuying Li

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2019. 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 41% 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, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Frontiers in microbiology · 2022
    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

9 authors at 1 institution in 1 country.

Zhixin WenDalian Biotechnology Institute, Liaoning Academy of Agricultural Sciences Shida Street No. 2 Dalian 116024 China dxfan68@126.com mona0408@163.com +8641184790092 +8641184790092.
Xingfan DuDalian Biotechnology Institute, Liaoning Academy of Agricultural Sciences Shida Street No. 2 Dalian 116024 China dxfan68@126.com mona0408@163.com +8641184790092 +8641184790092.ORCID https://orcid.org/0000-0003-4462-7502
Nan MengDalian Biotechnology Institute, Liaoning Academy of Agricultural Sciences Shida Street No. 2 Dalian 116024 China dxfan68@126.com mona0408@163.com +8641184790092 +8641184790092.
Yajie LiDalian Biotechnology Institute, Liaoning Academy of Agricultural Sciences Shida Street No. 2 Dalian 116024 China dxfan68@126.com mona0408@163.com +8641184790092 +8641184790092.
Rui MiDalian Biotechnology Institute, Liaoning Academy of Agricultural Sciences Shida Street No. 2 Dalian 116024 China dxfan68@126.com mona0408@163.com +8641184790092 +8641184790092.
Xuejun LiDalian Biotechnology Institute, Liaoning Academy of Agricultural Sciences Shida Street No. 2 Dalian 116024 China dxfan68@126.com mona0408@163.com +8641184790092 +8641184790092.
Yongxin SunDalian Biotechnology Institute, Liaoning Academy of Agricultural Sciences Shida Street No. 2 Dalian 116024 China dxfan68@126.com mona0408@163.com +8641184790092 +8641184790092.
Shuhui MaDalian Biotechnology Institute, Liaoning Academy of Agricultural Sciences Shida Street No. 2 Dalian 116024 China dxfan68@126.com mona0408@163.com +8641184790092 +8641184790092.
Shuying LiDalian Biotechnology Institute, Liaoning Academy of Agricultural Sciences Shida Street No. 2 Dalian 116024 China dxfan68@126.com mona0408@163.com +8641184790092 +8641184790092.
Dalian Institute of Chemical Physics · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Silkworms have been reported to promote the growth and production of the stromata of

Identifiers

PMID35515955
PMCPMC9060897
OpenAlexW2912881785

What Socratic 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 Socratic graph.