Evidence map›Paper›PMID 34904418›Full record

ArticleJournal of Zhejiang University. Science. B2021

Factors associated with red blood cell transfusion among hospitalized patients: a cross-sectional study.

Peiwen Zhang, Dandan Xu, Xinhan Zhang, Mengyin Wu, Xuecheng Yao, Dawei Cui, Jue Xie

Abstract read
In one paragraph

Article in Journal of Zhejiang University. Science. B, 2021. 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
–field-weighted citation impact
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.

  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

7 authors.

Peiwen ZhangDepartment of Blood Transfusion, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
Dandan XuDepartment of Blood Transfusion, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
Xinhan ZhangDepartment of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Hangzhou 310058, China.
Mengyin WuDepartment of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Hangzhou 310058, China.
Xuecheng YaoDepartment of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Hangzhou 310058, China.
Dawei CuiDepartment of Blood Transfusion, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
Jue XieDepartment of Blood Transfusion, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China. zyyyxj2011@zju.edu.cn.

Funding

the National Natural Science Foundation of China 91846103 and 81971994the Zhejiang Provincial Key Research and Development Program 2020C03032
6 · The paper itself

Abstract

Red blood cell (RBC) transfusion is a clinically effective therapy in anemia, for example in patients with malignancies (Shander et al., 2020), bleeding (Odutayo et al., 2017), and preoperative anemia (Padmanabhan et al., 2019). The past few decades have witnessed a shortage of blood for transfusion due to limited health insurance coverage for blood use and the rapid expansion of hospitals (Chen et al., 2011; Shi et al., 2014). Blood donation levels may easily be affected by general changes in the environment, policy, major events such as disasters, and public sentiment (Hu et al., 2019). Meanwhile, the transfusion of allogeneic RBC is a double-edged sword, increasing the possibility of infectious and immunological complications, and also leading to higher morbidity and mortality after transfusion (Frank et al., 2012). Considering that the continual shortfall has been increasingly prominent, identifying the factors associated with RBC transfusion could help blood transfusion departments to improve their supply of blood products as well as their inventory management (O'Donnell et al., 2018).

Indexed as

AdultAgedCross-Sectional StudiesErythrocyte TransfusionFemaleHospitalizationHumansMaleMiddle AgedBlood transfusionRed blood celleTriple exponential smoothing method

Identifiers

PMID34904418
PMCPMC8669323

What OpenQuestion holds

Textmetadata
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.