Article in mSystems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing 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.
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
9 authors.
Xiaohong Wang *Obstetrical Department, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Tingting Liang *Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, China.ORCID 0009-0008-6110-9305
Tong JiangGuangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, China.
Ya ChenGuangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, China.
Tong ChenGuangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, China.
Bo DongDepartment of Rehabilitation Hospital Pain Ward, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, China.ORCID 0000-0003-4715-0973
Qingping WuGuangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, China.ORCID 0000-0001-6503-359X
Yu GaoObstetrical Department, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.ORCID 0000-0003-4897-5993
Funding
74th bath of General Funding from the China Postdoctoral Science Foundation 2023M740774Guangdong Province Basic and Applied Basic Research Fund Project 2022A1515110447Guangdong Provincial People's Hospital, Postdoctoral research Launch Fund BY012022017National Natural Science Foundation of China 81671479Open fund Project of the State Key Laboratory of Applied Microbiology in South China SKLAM006-2022
6 · The paper itself
Abstract
Advanced maternal age is associated with adverse pregnancy outcomes. However, the impact of changes in maternal physiology, biochemistry, vaginal microbiome, and its metabolites related to reproductive age on pregnancy outcomes is uncertain. Multi-omics were used to analyze vaginal samples collected from 195 pregnant women of different age groups to characterize the factors affecting the occurrence of adverse pregnancy outcomes in older mothers. Results showed that advanced maternal age is associated with a higher risk of premature birth. Furthermore, columnar ectopy may also contribute to premature birth. Moreover, older mothers with columnar ectopy exhibited vaginal microbiome dysbiosis, characterized by an increase in
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.