Evidence map›Paper›PMID 39192024›Full record

ArticleScientific reports2024

Epidemiological characteristics and early predict model of children Mycoplasma Pneumoniae Pneumonia outbreaks after the COVID-19 in Shandong.

Qian Zeng, Yurong Li, Yuanyuan Yue, Min Wang, Chun Yang, Xin Lv

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Frontiers in pediatrics · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Comprehensive study of community acquiredWorld journal of clinical pediatrics · 2025
    Article
  8. Characterizing the epidemiology ofEmerging microbes & infections · 2025
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Biomarkers associated with the diagnosis and prognosis ofFrontiers in cellular and infection microbiology · 2025
    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

6 authors.

Qian ZengClinical Laboratory, Children's Hospital Affiliated to Shandong University, 23976 Jing-Shi Road, Jinan, 250022, Shandong Province, People's Republic of China.
Yurong LiClinical Laboratory, Children's Hospital Affiliated to Shandong University, 23976 Jing-Shi Road, Jinan, 250022, Shandong Province, People's Republic of China.
Yuanyuan YueClinical Laboratory, Children's Hospital Affiliated to Shandong University, 23976 Jing-Shi Road, Jinan, 250022, Shandong Province, People's Republic of China.
Min WangClinical Laboratory, Children's Hospital Affiliated to Shandong University, 23976 Jing-Shi Road, Jinan, 250022, Shandong Province, People's Republic of China.
Chun YangClinical Laboratory, Children's Hospital Affiliated to Shandong University, 23976 Jing-Shi Road, Jinan, 250022, Shandong Province, People's Republic of China. 2523842681@qq.com.
Xin LvClinical Laboratory, Children's Hospital Affiliated to Shandong University, 23976 Jing-Shi Road, Jinan, 250022, Shandong Province, People's Republic of China. etyyjyklvxin@163.com.

Funding

Science and Technology Development Program of Jinan Municipal Health Commission 2023-1-60Science and Technology Development Program of Jinan Municipal Health Commission 2023-2-139
6 · The paper itself

Abstract

Since October 2023, a significant outbreak of Mycoplasma Pneumoniae Pneumonia (MPP) has been observed in children in northern China. Chinese health authorities have attributed this epidemiological to immune debt resulting from the relaxation of coronavirus disease 2019 (COVID-19) control measures. This study described the epidemiological features of Mycoplasma pneumoniae (MP) prevalence in children and developed a straightforward prediction model to differentiate between MPP and viral pneumonia in children. The infection rate of MP in children notably increased from 8.12 in 2022 to 14.94% in 2023, peaking between October and November, especially among school-age children. Logistic regression screening identified four key indicators: Age, D-Dimer levels, erythrocyte sedimentation rate, and gender. The developed nomogram exhibited a receiver operator characteristic curve-area under the curve (ROC-AUC) of 0.858, with external validation confirming an ROC-AUC of 0.794. This study examined the epidemiological characteristics of MPP prevalence in children in Shandong Province during and after the COVID-19 pandemic. An early predict model was developed and validated to differentiate between Mycoplasma Pneumoniae and viral infections.

Indexed as

COVID-19Mycoplasma pneumoniaePneumonia, MycoplasmaAdolescentChildChild, PreschoolChinaDisease OutbreaksFemaleHumansInfantMalePrevalenceROC CurveSARS-CoV-2COVID-19EpidemiologyMycoplasma Pneumoniae PneumoniaNomogramOutbreak

Identifiers

PMID39192024
PMCPMC11350198

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.