Evidence map›Paper›PMID 31120941›Full record

ArticlePloS one2019

Identification of immune and metabolic predictors of severe hand-foot-mouth disease.

Luwei Qin, Dejian Dang, Xinhong Wang, Rongguang Zhang, Huifen Feng, Jingchao Ren, Shuaiyin Chen, Guangyuan Zhou, Ping Huang, Bin Wang and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 17% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
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  6. Article
  7. Analysis of miRNAs Involved in Mouse Heart Injury Upon Coxsackievirus A2 Infection.Frontiers in cellular and infection microbiology · 2022
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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

14 authors at 4 institutions in 1 country.

Luwei QinSchool of Public Health, Xinxiang Medical University, Xinxiang, China.
Dejian DangDepartment of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, China.
Xinhong WangDepartment of Infectious Disease, The Children's Hospital of Zhengzhou City, Zhengzhou, China.
Rongguang ZhangDepartment of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, China.
Huifen FengDepartment of Gastroenterology, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jingchao RenSchool of Public Health, Xinxiang Medical University, Xinxiang, China.
Shuaiyin ChenDepartment of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, China.
Guangyuan ZhouSchool of Public Health, Xinxiang Medical University, Xinxiang, China.
Ping HuangDepartment of Gastroenterology, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Bin WangDepartment of Gastroenterology, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yuanlin XiDepartment of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, China.
Weidong WuSchool of Public Health, Xinxiang Medical University, Xinxiang, China.
Yuefei JinDepartment of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, China.ORCID 0000-0002-1523-0808
Guangcai DuanDepartment of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, China.
Zhengzhou University · CNXinxiang Medical University · CNFifth Affiliated Hospital of Zhengzhou University · CNZhengzhou Children's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hand, foot and mouth disease (HFMD) is an infectious disease that affects mostly children. The children with HFMD also have other immune and metabolic disorders. However, the association of these disorders with the severity of HFMD has not yet been determined. In this study, we used a case-control study design to examine the correlation of immune and metabolic disorders with HFMD development in children. 406 mild and severe patients were recruited and divided into different subgroups based on the number of days from the initial onset time to hospitalization (1, 2, 3, 4, and ≥5 days). Logistic regression model was used to define the predictors of severe HFMD. We found that the patients from rural area (OR = 1.76, 95% CI [1.19~2.63], P = 0.005) or with body temperature of >39°C (OR = 2.14, 95% CI [1.12~4.12], P = 0.022) exhibited higher risk for severe symptoms. In addition, the risk increased with the rise of body temperature by using a Chis-quare trend test (P = 0.01). We also found that a decreased number of eosinophils was an predictor of severe HFMD at 1, 2, 3,and 4 days post infection (dpi). Decreased levels of Na+, Cl-, and creatine kinase were also predictors at 1 and ≥5 dpi. On the other hand, elevated level of globulin was a predictor for severe HFMD at 4 dpi and ≥5 dpi, and the increased number of neutrophils or increased level of alkaline phosphatase posed risk for severe HFMD at 3 and ≥5 dpi. Our results suggested that rural living, hyperpyrexia, changes in the immune system that include the numbers of eosinophils and neutrophils and the levels of IgG and globulin, and metabolic alterations, such as the levels of alkaline phosphatase, Na+, Cl-, and creatine kinase in peripheral blood are predictors of severe HFMD.

Indexed as

AdolescentAdultAlkaline PhosphataseBiomarkersBody TemperatureCase-Control StudiesChildChinaChloridesEosinophilsFemaleGlobulinsHand, Foot and Mouth DiseaseHospitalizationHumansImmune SystemAlkaline PhosphataseBiomarkersChloridesGlobulinsImmunoglobulin GSodium

Identifiers

PMID31120941
PMCPMC6532886
OpenAlexW2946703551

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.