Evidence map›Paper›PMID 33482756›Full record

ArticleBMC infectious diseases2021

Epidemiological survey and screening strategy for dengue virus in blood donors from Yunnan Province.

Ling Li, Ying Li, Shaofang Lu, Jing Dong, Haixia Xu, Qian Zhang, Rong Weng, Yundi Yin, Rui He, Peng Fang and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

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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

15 authors at 2 institutions in 2 countries.

Ling Li *Clinical Transfusion Research Center, Institute of Blood Transfusion, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College, Chengdu, China.
Ying Li *Xishuangbanna Blood Center, Xishuangbanna, China.
Shaofang LuXishuangbanna Blood Center, Xishuangbanna, China.
Jing DongXishuangbanna Blood Center, Xishuangbanna, China.
Haixia XuClinical Transfusion Research Center, Institute of Blood Transfusion, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College, Chengdu, China.
Qian ZhangXishuangbanna Blood Center, Xishuangbanna, China.
Rong WengXishuangbanna Blood Center, Xishuangbanna, China.
Yundi YinClinical Transfusion Research Center, Institute of Blood Transfusion, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College, Chengdu, China.
Rui HeClinical Transfusion Research Center, Institute of Blood Transfusion, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College, Chengdu, China.
Peng FangClinical Transfusion Research Center, Institute of Blood Transfusion, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College, Chengdu, China.
Hua ShiXishuangbanna Blood Center, Xishuangbanna, China.
Yinghan YuXishuangbanna Blood Center, Xishuangbanna, China.
Ji WuXishuangbanna Blood Center, Xishuangbanna, China. wuji0633@126.com.
Zhong LiuClinical Transfusion Research Center, Institute of Blood Transfusion, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College, Chengdu, China. liuz@ibt.pumc.edu.cn.
John R HessDepartment of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, USA.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNSeattle University · US

Funding

CAMS Innovation Fund for Medical Sciences 2016-I2M-3-024CAMS Innovation Fund for Medical Sciences 2017-I2M-1-009
6 · The paper itself

Abstract

backgroundDengue virus (DENV) infection is increasingly common in southern China and can be transmitted through blood transfusion but is not currently part of donor screening throughout the region. We assessed DENV prevalence among donors at the Xishuangbanna Blood Center, Yunnan, to support development of DENV screening strategies.

methodsBlood samples were collected randomly between June 2019 and August 2019. These were screened for anti-DENV IgG and IgM using enzyme-linked immunosorbent assay (ELISA). Then, all reactive samples and some randomly-chosen non-reactive samples were used to detect DENV RNAs using real-time polymerase-chain-reaction (RT-PCR) assays. After RT-PCR, samples were further tested for soluble nonstructural protein 1 (NS1) using the colloidal gold method. Donors demographics were also collected and assessed.

resultsOver the study period, 2254 donor samples were collected and tested for anti-DENV IgG and IgM by ELISA. This revealed 598 anti-DENV IgG and/or IgM reactive samples, a serological prevalence of 26.53%. Of these, 26 were RT-PCR positive and/or NS1 positive. Significant differences in DENV prevalence were noted by occupation (P = 0.001), education (P < 0.001), and ethnicity (P = 0.026).

conclusionThe prevalence of DENV in Xishuangbanna Blood Center was higher than most other blood centers that have implemented DENV donor screening. Our study provides first-hand data about the prevalence of DENV and allows the development of a screening strategy for clinical use.

Indexed as

Blood DonorsAdultAntibodies, ViralChinaDengueDengue VirusFemaleHumansMaleMass ScreeningMiddle AgedPrevalenceRNA, ViralViral Nonstructural ProteinsYoung AdultAntibodies, ViralRNA, ViralViral Nonstructural ProteinsDengueDonorPrevalenceScreening strategyTransfusion-transmitted infection

Identifiers

PMID33482756
PMCPMC7821518
OpenAlexW3121879542

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.