Evidence map›Paper›PMID 39713043›Full record

SynthesisFrontiers in allergy2024

Association of humidity and precipitation with asthma: a systematic review and meta-analysis.

Wangyang Gu, Dan Xie, Qinpeng Li, Huike Feng, Yihao Xue, Yang Chen, Jingyi Tang, Yushi Zhou, Dan Wang, Shilu Tong and 1 more

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Frontiers in allergy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. 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.

Wangyang GuDepartment of Big Data Center, Sanya Women and Children's Hospital Affiliated to Hainan Medical University, Sanya, China.
Dan XieDepartment of Big Data Center, Sanya Women and Children's Hospital Affiliated to Hainan Medical University, Sanya, China.
Qinpeng LiDepartment of Big Data Center, Sanya Women and Children's Hospital Affiliated to Hainan Medical University, Sanya, China.
Huike FengDepartment of Big Data Center, Sanya Women and Children's Hospital Affiliated to Hainan Medical University, Sanya, China.
Yihao XueDepartment of Big Data Center, Sanya Women and Children's Hospital Affiliated to Hainan Medical University, Sanya, China.
Yang ChenDepartment of Epidemiology and Statistics, School of Public Health, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Jingyi TangDepartment of Epidemiology and Statistics, School of Public Health, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Yushi ZhouDepartment of Big Data Center, Sanya Women and Children's Hospital Affiliated to Hainan Medical University, Sanya, China.
Dan WangDepartment of Big Data Center, Sanya Women and Children's Hospital Affiliated to Hainan Medical University, Sanya, China.
Shilu TongDepartment of Epidemiology and Statistics, School of Public Health and Social Work, Queensland University of Technology, Brisbane, QLD, Australia.
Shijian LiuDepartment of Big Data Center, Sanya Women and Children's Hospital Affiliated to Hainan Medical University, Sanya, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The relationship of asthma with humidity and precipitation remains controversial. The objective of this study was to investigate the association of increased humidity and precipitation with asthma risk. Methods: A comprehensive systematic search was conducted across various databases, including PubMed, Embase, Cochrane Library, Web of Science, Chinese Wanfang, CQVIP, and CNKI. A total of 21 studies with 1,052,960 participants from 9 countries or regions were included. The fixed and random effect model were used to analyze the data. Results: The study revealed a pooled odds ratio (OR) of 1.0489 [95% confidence interval (CI): 1.0061, 1.0935] for the association between humidity and asthma risk. Specifically, among individuals under 18 years of age, the OR (95% CI) was 1.0898 (1.0290, 1.1541). Furthermore, the OR (95% CI) for developing countries or regions was 1.0927 (1.0220, 1.1684), while it was 1.1298 (0.9502, 1.3433) for regions with a high latitude (41°-51°). The pooled OR for precipitation and asthma risk was 0.9991 (0.9987, 0.9995). The OR (95%CI) values were 0.9991 (0.9987, 0.9995), 0.9991 (0.9987, 0.9995) and 0.9990 (0.9986, 0.9994) in people above the age of 18, developing countries or regions, and middle latitudes (31°-41°), respectively. Discussion: The impact of humidity on asthma risk is particularly pronounced among individuals below 18 years of age, people living in developing countries or regions and in regions located in high latitudes. And the influence of precipitation on asthma persons over the age of 18, developing countries or regions, and middle latitudes significantly. Increased humidity appears to elevate asthma risk, and increased precipitation may reduce the risk. In addition, there appears to be a combined effect of humidity and precipitation on asthma. Systematic Review Registration: PROSPERO, identifier, CRD42023482446.

Indexed as

asthmahumiditymeta-analysisprecipitationsystematic review

Identifiers

PMID39713043
PMCPMC11659254

What Socratic 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 Socratic graph.