Evidence map›Paper›PMID 35744708›Full record

ReviewMicroorganisms2022

The Role of Early Life Microbiota Composition in the Development of Allergic Diseases.

Maimaiti Tuniyazi, Shuang Li, Xiaoyu Hu, Yunhe Fu, Naisheng Zhang

Open access · goldAbstract readReview
In one paragraph

Review in Microorganisms, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. 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

5 authors at 1 institution in 1 country.

Maimaiti TuniyaziDepartment of Clinical Veterinary Medicine, College of Veterinary Medicine, Jilin University, Changchun 130062, China.
Shuang LiDepartment of Clinical Veterinary Medicine, College of Veterinary Medicine, Jilin University, Changchun 130062, China.
Xiaoyu HuDepartment of Clinical Veterinary Medicine, College of Veterinary Medicine, Jilin University, Changchun 130062, China.
Yunhe FuDepartment of Clinical Veterinary Medicine, College of Veterinary Medicine, Jilin University, Changchun 130062, China.
Naisheng ZhangDepartment of Clinical Veterinary Medicine, College of Veterinary Medicine, Jilin University, Changchun 130062, China.
Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Allergic diseases are becoming a major healthcare issue in many developed nations, where living environment and lifestyle are most predominantly distinct. Such differences include urbanized, industrialized living environments, overused hygiene products, antibiotics, stationary lifestyle, and fast-food-based diets, which tend to reduce microbial diversity and lead to impaired immune protection, which further increase the development of allergic diseases. At the same time, studies have also shown that modulating a microbiocidal community can ameliorate allergic symptoms. Therefore, in this paper, we aimed to review recent findings on the potential role of human microbiota in the gastrointestinal tract, surface of skin, and respiratory tract in the development of allergic diseases. Furthermore, we addressed a potential therapeutic or even preventive strategy for such allergic diseases by modulating human microbial composition.

Indexed as

allergic diseasesearly lifemicrobiota

Identifiers

PMID35744708
PMCPMC9227185
OpenAlexW4282555715

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.