Evidence map›Paper›PMID 35359722›Full record

ArticleFrontiers in microbiology2022

Clinical Characteristics and Risk Factors for Severe Dengue Fever in Xishuangbanna, During the Dengue Outbreak in 2019.

Xiaodan Wang, Tingting Li, Yun Shu, Juan Zhang, Xiyun Shan, Daiying Li, Dehong Ma, Shuying Long, Yue Pan, Junying Chen and 2 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. The greatest Dengue epidemic in Brazil: Surveillance, Prevention, and Control.Revista da Sociedade Brasileira de Medicina Tropical · 2024
    Review
  5. Review
  6. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 1 country.

Xiaodan WangInstitute of Medical Biology, Chinese Academy of Medical Sciences, Peking Union Medical College, Kunming, China.
Tingting LiXishuangbanna Dai Autonomous Prefecture People's Hospital, Jinhong, China.
Yun ShuXishuangbanna Dai Autonomous Prefecture People's Hospital, Jinhong, China.
Juan ZhangInstitute of Medical Biology, Chinese Academy of Medical Sciences, Peking Union Medical College, Kunming, China.
Xiyun ShanXishuangbanna Dai Autonomous Prefecture People's Hospital, Jinhong, China.
Daiying LiInstitute of Medical Biology, Chinese Academy of Medical Sciences, Peking Union Medical College, Kunming, China.
Dehong MaXishuangbanna Dai Autonomous Prefecture People's Hospital, Jinhong, China.
Shuying LongKunming Medical University, Kunming, China.
Yue PanInstitute of Medical Biology, Chinese Academy of Medical Sciences, Peking Union Medical College, Kunming, China.
Junying ChenInstitute of Medical Biology, Chinese Academy of Medical Sciences, Peking Union Medical College, Kunming, China.
Pinghua LiuXishuangbanna Dai Autonomous Prefecture People's Hospital, Jinhong, China.
Qiangming SunInstitute of Medical Biology, Chinese Academy of Medical Sciences, Peking Union Medical College, Kunming, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNKunming Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Dengue poses a large burden on the public health systems worldwide. severe dengue (SD) could lead to more serious clinical symptoms and even death. This study aimed to identify the cause of SD in a clinical trial during the dengue outbreak in Xishuangbanna in 2019, and could provide new insights into the pathogenic mechanisms of SD. Methods: Mosquito-borne viral (DENV, JEV, and CHIKV) infections were identified. The epidemiological factors and clinical symptoms of inpatients in Xishuangbanna were recorded. The IgG and IgM levels in the serum of dengue inpatients were evaluated, and secondary infections were identified. Then, the structural proteins (C/PrM/E) were sequenced and compared with those of the same type of DENV in the same area as before, and their structures were predicted by the SWISS-MODEL (expasy.org). The full-length viral genomes were sequenced and aligned with representative strains by BioEidt or MEGA 5.0. Results: In this outbreak, the clinical symptoms were more serious in SD. The proportion of SD inpatients of male and Han nationality was larger than that of dengue fever (DF) inpatients ( Conclusions: SD may related to secondary heteromorphic dengue in Xishuangbanna in 2019. The coinfection of ZIKV could be another related factor for SD. The currently datas were very limited and only suggestive.

Indexed as

dengue gene sequencedengue inpatientsIgGIgMsevere dengue fever

Identifiers

PMID35359722
PMCPMC8960845
OpenAlexW4220942520

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.