Evidence map›Paper›PMID 29651251›Full record

ArticleFrontiers in physiology2018

Induced Hyperproteinemia and Its Effects on the Remodeling of Fat Bodies in Silkworm,

Xue-Dong Chen, Yong-Feng Wang, Yu-Long Wang, Qiu-Ying Li, Huan-Yu Ma, Lu Wang, Yang-Hu Sima, Shi-Qing Xu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 32% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Evaluation of the silkwormRoyal Society open science · 2020
    Article
  7. 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

8 authors at 1 institution in 1 country.

Xue-Dong ChenDepartment of Applied Biology, School of Biology and Basic Medical Sciences, Medical College, Soochow University, Suzhou, China.
Yong-Feng WangDepartment of Applied Biology, School of Biology and Basic Medical Sciences, Medical College, Soochow University, Suzhou, China.
Yu-Long WangDepartment of Applied Biology, School of Biology and Basic Medical Sciences, Medical College, Soochow University, Suzhou, China.
Qiu-Ying LiDepartment of Applied Biology, School of Biology and Basic Medical Sciences, Medical College, Soochow University, Suzhou, China.
Huan-Yu MaDepartment of Applied Biology, School of Biology and Basic Medical Sciences, Medical College, Soochow University, Suzhou, China.
Lu WangDepartment of Applied Biology, School of Biology and Basic Medical Sciences, Medical College, Soochow University, Suzhou, China.
Yang-Hu SimaDepartment of Applied Biology, School of Biology and Basic Medical Sciences, Medical College, Soochow University, Suzhou, China.
Shi-Qing XuDepartment of Applied Biology, School of Biology and Basic Medical Sciences, Medical College, Soochow University, Suzhou, China.
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hyperproteinemia, which is characterized by an abnormally elevated plasma protein concentration (PPC), is a high-mortality, metabolic complication associated with severe liver and kidney disease. It is difficult to clinically distinguish the difference between the impacts of primary diseases and hyperproteinemia on tissues and organs, and there are no available animal models of hyperproteinemia. Here, we constructed an animal model of hyperproteinemia with a controllable PPC and no primary disease effects in the silkworm

Indexed as

animal modelendocrine hormonesfat bodyhyperproteinemiatissue remodeling

Identifiers

PMID29651251
PMCPMC5884952
OpenAlexW2794964855

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.