Evidence map›Paper›PMID 30487478›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2018

A Simple Scoring System for Quick, Accurate, and Reliable Early Diagnosis of Hand, Foot, and Mouth Disease.

Shaoxing Chen, Kaihong Yi, Xiaojun Chen, Liping Li, Xuerui Tan

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. Current status of hand-foot-and-mouth disease.Journal of biomedical science · 2023
    Review
  3. 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

5 authors at 2 institutions in 1 country.

Shaoxing ChenDepartment of Community Monitoring, First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China (mainland).
Kaihong YiDepartment of Community Monitoring, First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China (mainland).
Xiaojun ChenDepartment of Community Monitoring, First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China (mainland).
Liping LiInjury Prevention Research Center, Shantou University Medical College, Shantou, Guangdong, China (mainland).
Xuerui TanDepartment of Cardiology, First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China (mainland).
First Affiliated Hospital of Shantou University Medical College · CNShantou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND To construct an accurate, reliable, and simple scoring system of improving HFMD diagnosis. MATERIAL AND METHODS Based on the following 3 steps, a simple scoring diagnostic system was built: (1) we selected basic markers (age and sex), markers recommended in HFMD diagnosis guidelines, and significant biomarkers among severity groups found in a large dataset; (2) we used positive constituent ratio for determining scores of each marker; and (3) we applied receiving operating curve in an external dataset to determine the optimal cut-off score. RESULTS The selected markers were sex, age, fever, skin rashes, nervous system disorder, respiratory system disorder, digestive system disorder and cardiopulmonary complications, C-reactive-protein, White Blood Cell, Creatinine Kinase, Creatinine Kinase Isoenzyme, Gamma-Glutamyl Transpeptidase, Albumin, Globulin, Albumin/Globulin Ratio, Natrium, Chloride, Calcium, and Glucose. A simple scoring system with 3.9684 as the lower cut-off was constructed. The AUC was 0.918 (95% CI: 0.874-0.963, P<0.01). The sensitivity, specificity, and Youden Index, which were based on the validation dataset of 200 subjects (80 cases, 120 non-cases with skin rashes or fever), were 0.95, 0.90, and 0.85, respectively. CONCLUSIONS This simple scoring system is an effective method to diagnose HFMD.

Indexed as

AdultBiomarkersClinical Decision-MakingEarly DiagnosisFemaleHand, Foot and Mouth DiseaseHumansMaleSensitivity and SpecificityBiomarkers

Identifiers

PMID30487478
PMCPMC6282650
OpenAlexW2903430203

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.