Evidence map›Paper›PMID 33172500›Full record

ArticleMilitary Medical Research2020

Effects of different plasma expanders on rats subjected to severe acute normovolemic hemodilution.

Guo-Xing You, Bing-Ting Li, Zhen Wang, Quan Wang, Ying Wang, Jing-Xiang Zhao, Lian Zhao, Hong Zhou

Open access · diamondAbstract read
In one paragraph

Article in Military Medical Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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 2 institutions in 2 countries.

Guo-Xing YouInstitute of Health Service and Transfusion Medicine, Bejing, 100850, China.
Bing-Ting LiInstitute of Health Service and Transfusion Medicine, Bejing, 100850, China.
Zhen WangInstitute of Health Service and Transfusion Medicine, Bejing, 100850, China.
Quan WangInstitute of Health Service and Transfusion Medicine, Bejing, 100850, China.
Ying WangInstitute of Health Service and Transfusion Medicine, Bejing, 100850, China.
Jing-Xiang ZhaoInstitute of Health Service and Transfusion Medicine, Bejing, 100850, China.
Lian ZhaoInstitute of Health Service and Transfusion Medicine, Bejing, 100850, China. zhaolian@bmi.ac.cn.
Hong ZhouInstitute of Health Service and Transfusion Medicine, Bejing, 100850, China. zhouhtt1966@163.com.
Institute for Transfusion Medicine · USNational Blood Transfusion Service · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPlasma expanders are widely used for acute normovolemic hemodilution (ANH). However, existing studies have not focused on large-volume infusion with colloidal plasma expanders, and there is a lack of studies that compare the effects of different plasma expanders.

methodsThe viscosity, hydrodynamic radius (R

resultsGel had a lower intrinsic viscosity than HES200 and HES130 (P < 0.01), but at a low shear rate in a mixture of colloids, red cells and plasma, Gel had a higher viscosity (P < 0.05 or P < 0.01, respectively). For hydroxyethyl starch plasma expanders, the COP at a certain concentration decreases from 11.1 mmHg to 6.1 mmHg with the increase of R

conclusionGel had a low intrinsic viscosity but may increase the whole blood viscosity at low shear rates. R

Indexed as

AnimalsDisease Models, AnimalHemodilutionPlasma SubstitutesRatsPlasma SubstitutesAcid-baseAcute normovolemic hemodilutionBlood gasLactatePhysiological parametersPlasma expander

Identifiers

PMID33172500
PMCPMC7656672
OpenAlexW3105672366

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.