Evidence map›Paper›PMID 31102050›Full record

ArticleArchives of virology2019

The analysis of clinical and laboratory data: a large outbreak of dengue fever in Chaozhou, Guangdong province, China.

Fen Lin, Hui Yang, Lin Zhang, Sen-Hai Fang, Xiao-Fen Zhan, Li-Ye Yang

Open access · hybridAbstract read
In one paragraph

Article in Archives of virology, 2019. 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
0.9field-weighted citation impact, top 23% 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

6 authors at 3 institutions in 1 country.

Fen LinCentral Laboratory, Chaozhou Central Hospital Affiliated to Southern Medical University, Chaozhou, 521021, Guangdong, China.
Hui YangDepartment of Laboratory Medicine, School of Medicine, Yangtze University, Jingzhou, Hubei, China.
Lin ZhangCentral Laboratory, Chaozhou Central Hospital Affiliated to Southern Medical University, Chaozhou, 521021, Guangdong, China.
Sen-Hai FangCentral Laboratory, Chaozhou Central Hospital Affiliated to Southern Medical University, Chaozhou, 521021, Guangdong, China.
Xiao-Fen ZhanCentral Laboratory, Chaozhou Central Hospital Affiliated to Southern Medical University, Chaozhou, 521021, Guangdong, China.
Li-Ye YangCentral Laboratory, Chaozhou Central Hospital Affiliated to Southern Medical University, Chaozhou, 521021, Guangdong, China. yangleeyee@sina.com.
Southern Medical University · CNChaozhou Central Hospital · CNYangtze University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A large-scale dengue fever (DF) outbreak occurred in Chaozhou, Guangdong province, China 2015. In our study, 528 dengue-positive patient samples were collected for clinical and laboratory data analysis. 491 cases (93.0%) were primary dengue fever (PDF), 22 cases (4.2%) were dengue hemorrhagic fever (DHF) and 15 cases (2.8%) were diagnosed with severe dengue fever (SDF). All cases were infected by dengue virus serotype 2 (DENV-2), and the isolated strains belonged to cosmopolitan genotype, which were grouped closely with Malaysia strains from 2010 to 2014. Moreover, the study showed that laboratory indices have significantly difference in PDF, DHF and SDF patients. A comprehensive analysis of these data could assist and guide the clinical diagnosis for DF, which has an important significance for the control of dengue virus infection.

Indexed as

AdolescentAdultAgedAged, 80 and overChildChild, PreschoolChinaDengueDengue VirusDisease OutbreaksFemaleGenotypeHumansInfantMaleMiddle Aged

Identifiers

PMID31102050
PMCPMC6591201
OpenAlexW2945856715

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.