Evidence map›Paper›PMID 36193127›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2022

Clinical Characteristics and Treatment Overview in Hand-Foot-and-Mouth Disease Using Real-World Evidence Based on Hospital Information System.

Guoming Chen, Chuyao Huang, Dongqiang Luo, Jiawei Yang, Yuzhen Shi, Danyun Li, Zhuoyao Li, Tie Song, Hua Xu, Fen Yang

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2022. 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
0.3field-weighted citation impact, top 39% 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. Review
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

10 authors at 3 institutions in 2 countries.

Guoming ChenGuangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0000-0002-4125-917X
Chuyao HuangGuangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0000-0002-4537-7499
Dongqiang LuoGuangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0000-0002-4238-0182
Jiawei YangGuangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0000-0003-1108-8645
Yuzhen ShiGuangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0000-0002-3435-2835
Danyun LiGuangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0000-0003-1713-0904
Zhuoyao LiGuangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0000-0001-8368-9891
Tie SongGuangdong Center for Disease Control and Prevention, Guangzhou, China.ORCID https://orcid.org/0000-0001-5539-1430
Hua XuFirst Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0000-0003-2212-7347
Fen YangGuangdong Center for Disease Control and Prevention, Guangzhou, China.ORCID https://orcid.org/0000-0002-2636-4975
Guangzhou University of Chinese Medicine · CNGuangzhou Center for Disease Control and Prevention · CNFirst Affiliated Hospital of Guangzhou University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To describe the epidemiological characteristics and medication overview of HFMD in Guangzhou and analyze the factors of length of stay (LOS) based on TCM usage. Method: From January 1, 2014, to June 30, 2019, clinical data of HFMD (ICD-10 B08.401) as the initial diagnosis, based on HIS of five medical institutions for outpatient and inpatient cases, was collected. The inpatient cases of the five hospitals in Guangzhou were utilized for hospitalization analysis. Information extracted from the warehouse was standardized. Descriptive analysis was used for baseline characteristics, medication usage, and inpatient characteristics. Potential factors were analyzed by bivariate analysis. COX regression analysis and Kaplan-Meier analysis for calculating HRs and 95% CIs were adopted to determine the predictors of LOS. Stratified COX regression was applied to analyze the relationship between predictors and LOS and to calculate interaction. Results: A total of 14172 patients with HFMD were included. It showed that HFMD would occur in males, infants, and summer. Cause and symptoms are the two aspects of conventional Western medicine treatments, while TCM treatment of HFMD took clearing heat and detoxification as the basic principle. Inpatients with HFMD were divided into two groups by the use ratio of TCM. Age, season, and disease severity were possible correlated factors of LOS, extrapolating from their disparity in distribution. By stratified Cox regression, three factors following presented as possible contributions to shortening LOS, including TCM ≥ 0.1 (HR = 1.79, 95% CI (1.67-1.92), Conclusion: Young children and high temperature were the risk factors of HFMD infection, which suggests that increasing surveillance for susceptible particular-age individuals and season is indispensable. Favorable factors to decrease LOS included a higher proportion of TCM use, mild HFMD, and onset in winter. The proportion of TCM use had additive interaction with disease severity, indicating that TCM may have antiviral and other biological effects on HFMD. Increasing the proportion of TCM use was probably beneficial to shortening LOS.

Identifiers

PMID36193127
PMCPMC9526671
OpenAlexW4296783270

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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.