Evidence map›Paper›PMID 34504626›Full record

ArticleDisease markers2021

Development and Validation of Diagnostic Models for Hand-Foot-and-Mouth Disease in Children.

Feng Zhuo, Mengjie Yu, Qiang Chen, Nuoya Li, Li Luo, Meiying Hu, Qi Dong, Liang Hong, Shouhua Zhang, Qiang Tao

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Disease markers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 47% 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, 2 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Feng ZhuoPediatric Cardiology Center, Jiangxi Provincial Children's Hospital, Nanchang, Jiangxi 330006, China.
Mengjie YuKey Laboratory of Drug Metabolism and Pharmacokinetics, China Pharmaceutical University, Nanjing, 210009 Jiangsu, China.
Qiang ChenDepartment of Respiratory, Jiangxi Provincial Children's Hospital, Nanchang, Jiangxi 330006, China.
Nuoya LiDepartment of General Surgery, Jiangxi Provincial Children's Hospital, Nanchang, Jiangxi 330006, China.
Li LuoDepartment of Respiratory, Jiangxi Provincial Children's Hospital, Nanchang, Jiangxi 330006, China.
Meiying HuPediatric Cardiology Center, Jiangxi Provincial Children's Hospital, Nanchang, Jiangxi 330006, China.
Qi DongDepartment of Respiratory, Jiangxi Provincial Children's Hospital, Nanchang, Jiangxi 330006, China.
Liang HongDepartment of Respiratory, Jiangxi Provincial Children's Hospital, Nanchang, Jiangxi 330006, China.
Shouhua ZhangDepartment of General Surgery, The Affiliated Children's Hospital of Nanchang University, Nanchang, Jiangxi 330006, China.ORCID https://orcid.org/0000-0002-8225-1350
Qiang TaoDepartment of General Surgery, Jiangxi Provincial Children's Hospital, Nanchang, Jiangxi 330006, China.ORCID https://orcid.org/0000-0002-9234-2352
Jiangxi Provincial Children's Hospital · CNNanchang University · CNChina Pharmaceutical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo find risk markers and develop new clinical predictive models for the differential diagnosis of hand-foot-and-mouth disease (HFMD) with varying degrees of disease.

methods19766 children with HFMD and 64 clinical indexes were included in this study. The patients included in this study were divided into the mild patients' group (mild) with 12292 cases, severe patients' group (severe) with 6508 cases, and severe patients with respiratory failure group (severe-RF) with 966 cases. Single-factor analysis was carried out on 64 indexes collected from patients when they were admitted to the hospital, and the indexes with statistical differences were selected as the prediction factors. Binary multivariate logistic regression analysis was used to construct the prediction models and calculate the adjusted odds ratio (OR).

resultsSP, DP, NEUT#, NEUT%, RDW-SD, RDW-CV, GGT, CK/CK-MB, and Glu were risk markers in mild/severe, mild/severe-RF, and severe/severe-RF. Glu was a diagnostic marker for mild/severe-RF (AUROC = 0.80, 95% CI: 0.78-0.82); the predictive model constructed by temperature, SP, MOMO%, EO%, RDW-SD, GLB, CRP, Glu, BUN, and Cl could be used for the differential diagnosis of mild/severe (AUROC > 0.84); the predictive model constructed by SP, age, NEUT#, PCT, TBIL, GGT, Mb,

conclusionBy analyzing clinical indicators, we have found the risk markers of HFMD and established suitable predictive models.

Indexed as

Severity of Illness IndexBiomarkersChinaFemaleHand, Foot and Mouth DiseaseHumansInfantMaleMental DisordersPrognosisRespiratory InsufficiencyRetrospective StudiesBiomarkers

Identifiers

PMID34504626
PMCPMC8423554
OpenAlexW3198333168

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.