Evidence map›Paper›PMID 35909180›Full record

ArticleBMC medicine2022

The association between the pre-pregnancy vaginal microbiome and time-to-pregnancy: a Chinese pregnancy-planning cohort study.

Xiang Hong, Jun Zhao, Jiechen Yin, Fanqi Zhao, Wei Wang, Xiaoling Ding, Hong Yu, Xu Ma, Bei Wang

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 25 citations in OpenAlex.

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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

9 authors at 4 institutions in 2 countries.

Xiang HongKey Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, No. 87 Dingjiaqiao Rd., Gulou District, Nanjing, Jiangsu, China.
Jun ZhaoNational Research Institute for Family Planning, Beijing, China. zj@e-health.org.cn.
Jiechen YinKey Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, No. 87 Dingjiaqiao Rd., Gulou District, Nanjing, Jiangsu, China.
Fanqi ZhaoKey Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, No. 87 Dingjiaqiao Rd., Gulou District, Nanjing, Jiangsu, China.
Wei WangKey Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, No. 87 Dingjiaqiao Rd., Gulou District, Nanjing, Jiangsu, China.
Xiaoling DingMaternal and Child Health Center of Gulou District, Nanjing, China.
Hong YuDepartment of Obstetrics and Gynecology, Zhong Da Hospital, Southeast University, Nanjing, China.
Xu MaNational Research Institute for Family Planning, Beijing, China. genetic88@sina.com.
Bei WangKey Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, No. 87 Dingjiaqiao Rd., Gulou District, Nanjing, Jiangsu, China. wangbeilxb@163.com.ORCID 0000-0002-5232-0933
Southeast University · CNChinese National Human Genome Center · CNNational Health and Family Planning Commission · CNZhongda Hospital Southeast University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough sexually transmitted infections are regarded as the main cause of tubal infertility, the association between the common vaginal microbiome and female fecundability has yet to be determined. The objective of this study was to find convincing evidence relating to the impact of the vaginal bacterial structure on the fecundability of women planning pregnancy.

methodsWe recruited women who took part in the Free Pre-pregnancy Health Examination Project from 13 June 2018 to 31 October 2018 (n = 89, phase I) and from 1 November 2018 to 30 May 2020 (n = 389, phase II). We collected pre-pregnancy vaginal swabs from each subject; then, we followed up each subject to acquire the pregnancy-planning outcome in 1 year. In phase I, 16S rRNA gene sequencing was performed to investigate the vaginal bacterial content between the pregnancy and non-pregnancy groups. These findings were verified in phase II by applying a quantitative real-time polymerase chain reaction for the measurement of the absolute abundance of specific species. Cox models were used to estimate fecundability ratios (FR) for each vaginal microbiome type.

resultsIn phase I, 59.6% (53/89) of women became pregnant within 1 year. The principal coordinate analysis showed that the pre-pregnancy vaginal microbial community structures of the pregnant and non-pregnant groups were significantly different (PERMANOVA test, R

conclusionsThis cohort study demonstrated an association between the pre-pregnancy vaginal microbiome and female fecundability. A vaginal microbiome characterized by a higher abundance of L. iners and lower abundances of L. crispatus and L. gasseri appeared to be associated with a lower fecundability. Further research now needs to confirm whether manipulation of the vaginal microenvironment might improve human fecundability.

Indexed as

MicrobiotaTime-to-PregnancyActinobacteriaChinaCohort StudiesFemaleHumansPregnancyRNA, Ribosomal, 16SRNA, Ribosomal, 16SCohort studyFecundabilityLactobacillusTime-to-pregnancyVaginal microbiome

Identifiers

PMID35909180
PMCPMC9341075
OpenAlexW4289100838

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.