Evidence map›Paper›PMID 29151195›Full record

SynthesisCurrent allergy and asthma reports2017

Risk Factors in Preschool Children for Predicting Asthma During the Preschool Age and the Early School Age: a Systematic Review and Meta-Analysis.

Yixia Bao, Zhimin Chen, Enmei Liu, Li Xiang, Deyu Zhao, Jianguo Hong

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Current allergy and asthma reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 6 pooled it
–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

44 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Trial
  8. Article
  9. Article
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  12. Leveraging artificial intelligence for the management of preschool wheeze: A narrative review.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2025
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Asthma Inception: Epidemiologic Risk Factors and Natural History Across the Life Course.American journal of respiratory and critical care medicine · 2024
    Review
  18. Article
  19. Total IgE Trends in Children with Allergic Diseases.Journal of clinical medicine · 2024
    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

6 authors.

Yixia BaoNational Children's Medical Center, Shanghai Children's Medical Center Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China. drsmilebao@163.com.
Zhimin ChenDepartment of Respiratory Diseases, the Children's Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, China.
Enmei LiuDepartment of Respiratory Diseases, Children's Hospital of Chongqing Medical University, Chongqing, 400016, China.
Li XiangDepartment of Allergy, Beijing Children's Hospital, Capital Medical University, National Children's Hospital Center, Beijing, 100045, China.
Deyu ZhaoDepartment of Respiratory Diseases, Children's Hospital of Nanjing Medical University, Nanjing, 210029, China.
Jianguo HongDepartment of Pediatrics, Shanghai General Hospital, Shanghai Jiaotong University, No. 100, Haining Road, Hongkou District, Shanghai, 200080, China. hongjianguo@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThe aim of this study was to identify risk factors of asthma among children < 6 years old (preschool age) for predicting asthma during the preschool age and early school age (≤ 10 years of age). METHOD OF THE STUDY: MEDLINE, Cochrane, EMBASE, and Google Scholar databases were searched until June 30, 2017. Prospective or retrospective cohort and case-control studies were included. Studies had to have evaluated risk factors or a predictive model for developing asthma in children ≤ 6 years of age or persistent asthma in early school age. RECENT

findingsA total of 17 studies were included in the analysis. Factors associated with developing asthma in children ≤ 10 years of age (both pre-school and early school age) included male gender (pooled OR = 1.70, P < 0.001), atopic dermatitis (pooled OR = 2.02, P < 0.001), a family history of asthma (pooled OR = 2.20, P < 0.001), and serum IgE levels ≥ 60 kU/l or having specific IgE (pooled OR = 2.36, P < 0.001). A history of exposure to smoke or wheezing was also associated with persistent asthma in early school age (pooled OR = 1.51, P = 0.030 and pooled OR = 2.59, P < 0.001, respectively). In general, asthma predictive models (e.g., API, PIAMA, PAPS) had relatively low sensitivity (range, 21% to 71.4%) but high specificity (range, 69% to 98%). The study found that male gender, exposure to smoke, atopic dermatitis, family history of asthma, history of wheezing, and serum IgE level ≥ 60 kU/l or having specific IgE were significantly associated with developing asthma by either preschool or early school age. Asthma predictive models can be developed by those risk factors.

Indexed as

AsthmaChildChild, PreschoolCohort StudiesHumansMaleProspective StudiesRetrospective StudiesRisk FactorsAsthmaChildhood asthmaPersistent asthmaPredictiveRisk factors

Identifiers

PMID29151195

What OpenQuestion holds

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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.