Evidence map›Paper›PMID 35273999›Full record

ArticleFrontiers in surgery2022

Comparison of Different Blood Transfusion Methods in Patients Undergoing Cesarean Section.

Fei Guo, Heshan Tang, Xiaoqiang Wei

Open access · goldAbstract read
In one paragraph

Article in Frontiers in surgery, 2022. 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
0.4field-weighted citation impact, top 52% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
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

3 authors at 1 institution in 1 country.

Fei GuoDepartment of Blood Transfusion, The First Affiliated Hospital of Naval Military Medical University, Shanghai, China.
Heshan TangDepartment of Blood Transfusion, The First Affiliated Hospital of Naval Military Medical University, Shanghai, China.
Xiaoqiang WeiDepartment of Blood Transfusion, The First Affiliated Hospital of Naval Military Medical University, Shanghai, China.
Second Military Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To compare the effect of allogeneic transfusion and acute normovolemic hemodilution (ANH) autologous transfusion in patients undergoing cesarean section. Methods: Patients who underwent cesarean section and received blood transfusion therapy from February 2019 to July 2021 in our hospital were observed and divided into the allogeneic group (n = 55) who received allogeneic transfusion therapy and the autologous group (n = 55) who received ANH autologous transfusion therapy according to the mode of transfusion. Observations included vital signs [heart rate (HR), mean arterial pressure (MAP), stroke volume variation (SVV)], blood routine [red blood cells (RBC), platelets (PLT), hematocrit (HCT), hemoglobin (Hb)], T-cell subsets (CD4 Results: There was no statistical significance in the intra-group and inter-group comparisons of HR, MAP, and SVV between the two groups before transfusion and transfusion for 10 min ( Conclusion: Both allogeneic transfusion and ANH autologous transfusion have little effect on the vital signs of patients undergoing cesarean section, but ANH autologous transfusion is more helpful to the stability of blood routine, T-cell subsets, immunoglobulin, and inflammation levels after surgery, which is a safe and effective way of blood transfusion.

Indexed as

acute normovolemic hemodilutionallogeneic transfusionapplication effectautologous transfusioncesarean section

Identifiers

PMID35273999
PMCPMC8901578
OpenAlexW4213288577

What OpenQuestion holds

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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.