Evidence map›Paper›PMID 29021577›Full record

ArticleScientific reports2017

Interleukin 17A as a good predictor of the severity of Mycoplasma pneumoniae pneumonia in children.

Mingyue Yang, Fanzheng Meng, Kuo Wang, Man Gao, Ruihua Lu, Mengyao Li, Fangxing Zhao, Lijuan Huang, Yining Zhang, Genhong Cheng and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

37 citing papers in PubMed, 50 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Nasal delivery ofMicrobiology spectrum · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Association of serum interleukin-17 level andTranslational pediatrics · 2024
    Article
  11. Serum inflammatory markers in children withWorld journal of clinical cases · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

11 authors at 4 institutions in 2 countries.

Mingyue YangDepartment of Translational Medicine, the First Hospital of Jilin University, Changchun, 130021, China.
Fanzheng MengDepartment of Pediatrics, the First Hospital of Jilin University, Changchun, 130021, China.
Kuo WangDepartment of Translational Medicine, the First Hospital of Jilin University, Changchun, 130021, China.
Man GaoDepartment of Pediatrics, the First Hospital of Jilin University, Changchun, 130021, China.
Ruihua LuDepartment of Pediatrics, the First Hospital of Jilin University, Changchun, 130021, China.
Mengyao LiThe Bethune Medical School of Jilin University, Changchun, 130021, China.
Fangxing ZhaoDepartment of Respiratory, Changchun Children's Hospital, Changchun, 130051, China.
Lijuan HuangDepartment of Respiratory, Changchun Children's Hospital, Changchun, 130051, China.
Yining ZhangDepartment of Pediatrics, the First Hospital of Jilin University, Changchun, 130021, China.
Genhong ChengDepartment of Translational Medicine, the First Hospital of Jilin University, Changchun, 130021, China.
Xiaosong WangDepartment of Translational Medicine, the First Hospital of Jilin University, Changchun, 130021, China. xiaosongwang@jlu.edu.cn.
First Hospital of Jilin University · CNChangchun Children's Hospital · CNJilin University · CNFirst Bethune Hospital of Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early distinction between severe Mycoplasma pneumoniae pneumonia (MPP) and mild MPP is still difficult. The aim of this study was to analyze cytokines in bronchoalveolar lavage fluid (BALF) and explore predicting factors of severe MPP in children. Retrospective analysis was performed on 150 children with MPP or bronchial foreign body (FB) admitted in our hospital. The mRNA levels of IL17A were found significantly lower in severe MPP group comparing with mild MPP group or FB group. However, no significant difference was found in the levels of IL4, IL10 or interferon beta1 (IFNβ1) between the two groups. Receiver operator characteristic (ROC) curve analysis showed that IL17A can be used to distinguish severe MPP from mild MPP. These results were confirmed in a validation cohort including 40 MPP children from another hospital. IL17A levels were correlated with some clinical characters, such as refractoriness and pleural effusion. Lower IL17A levels were more likely to be found in refractory MPP children or in MPP children with pleural effusion. Moreover, the protein levels of IL17A in BALF were also found greatly decreased in children with severe MPP. Thus, decreased IL17A levels in BALF may be a valuable biomarker to identify severe MPP in children.

Indexed as

Severity of Illness IndexBronchoalveolar Lavage FluidChildChild, PreschoolCytokinesFemaleHumansInfantInfant, NewbornInterleukin-17MaleMycoplasma pneumoniaePneumonia, MycoplasmaPredictive Value of TestsPrognosisRNA, MessengerCytokinesIL17A protein, humanInterleukin-17RNA, Messenger

Identifiers

PMID29021577
PMCPMC5636901
OpenAlexW2764192338

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.