Evidence map›Paper›PMID 36051762›Full record

ArticleFrontiers in microbiology2022

Metagenomic study of the gut microbiota associated with cow milk consumption in Chinese peri-/postmenopausal women.

Bo Tian, Jia-Heng Yao, Xu Lin, Wan-Qiang Lv, Lin-Dong Jiang, Zhuo-Qi Wang, Jie Shen, Hong-Mei Xiao, Hanli Xu, Lu-Lu Xu and 8 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 41% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Review
  7. mSphere · 2024
    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

18 authors at 4 institutions in 2 countries.

Bo TianSchool of Physical Science and Engineering, College of Life Sciences and Bioengineering, Beijing Jiaotong University, Beijing, China.
Jia-Heng YaoSchool of Physical Science and Engineering, College of Life Sciences and Bioengineering, Beijing Jiaotong University, Beijing, China.
Xu LinDepartment of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China.
Wan-Qiang LvCenter for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Changsha, China.
Lin-Dong JiangTulane Center for Bioinformatics and Genomics, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States.
Zhuo-Qi WangSchool of Physical Science and Engineering, College of Life Sciences and Bioengineering, Beijing Jiaotong University, Beijing, China.
Jie ShenDepartment of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China.
Hong-Mei XiaoCenter for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Changsha, China.
Hanli XuSchool of Physical Science and Engineering, College of Life Sciences and Bioengineering, Beijing Jiaotong University, Beijing, China.
Lu-Lu XuSchool of Physical Science and Engineering, College of Life Sciences and Bioengineering, Beijing Jiaotong University, Beijing, China.
Xiyu ChengSchool of Physical Science and Engineering, College of Life Sciences and Bioengineering, Beijing Jiaotong University, Beijing, China.
Hui ShenTulane Center for Bioinformatics and Genomics, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States.
Chuan QiuTulane Center for Bioinformatics and Genomics, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States.
Zhe LuoTulane Center for Bioinformatics and Genomics, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States.
Lan-Juan ZhaoTulane Center for Bioinformatics and Genomics, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States.
Qiong YanSchool of Physical Science and Engineering, College of Life Sciences and Bioengineering, Beijing Jiaotong University, Beijing, China.
Hong-Wen DengTulane Center for Bioinformatics and Genomics, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States.
Li-Shu ZhangSchool of Physical Science and Engineering, College of Life Sciences and Bioengineering, Beijing Jiaotong University, Beijing, China.
Beijing Jiaotong University · CNTulane University · USCentral South University · CNThird Affiliated Hospital of Southern Medical University · CN

Funding

Tulane COBRE in Cardiometabolic Diseases Clinical Research CoreP20GM109036 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI Katherine Teresa Mills · 2016 to 2026
$25.3M
Trans-omics Integration of Multi-omics Studies for OsteoporosisU19AG055373 · NIA · TULANE UNIVERSITY OF LOUISIANA · PI Qi Zhao · 2017 to 2026
$24.3M
Identification of Metabolomic Profiles for Sarcopenia Traits in Older Whites and BlacksR01AG061917 · NIA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI SHEN, HUI, ZHAO, QI · 2019 to 2023
$3.0M
Decoding Methylation Mediated Epigenomic Contributions to Male OsteoporosisR01AR069055 · NIAMS · TULANE UNIVERSITY OF LOUISIANA · PI DENG, HONG-WEN · 2017 to 2021
$2.9M
Integration of brain imaging with genomic and epigenomic dataR01MH104680 · NIMH · TULANE UNIVERSITY OF LOUISIANA · PI CALHOUN, VINCE D, DENG, HONG-WEN · 2014 to 2017
$2.1M
NIAMS NIH HHS R01 AR069055NIA NIH HHS R01 AG061917NIA NIH HHS U19 AG055373NIGMS NIH HHS P20 GM109036NIMH NIH HHS R01 MH104680
6 · The paper itself

Abstract

Cow milk consumption (CMC) and alterations of gut bacterial composition are proposed to be closely related to human health and disease. Our research aims to investigate the changes in human gut microbial composition in Chinese peri-/postmenopausal women with different CMC habits. A total of 517 subjects were recruited and questionnaires about their CMC status were collected; 394 subjects were included in the final analyses. Fecal samples were used for studying gut bacterial composition. All the subjects were divided into a control group (

Indexed as

cow milk consumptionfunctional modulegut microbiotametagenomicnetwork

Identifiers

PMID36051762
PMCPMC9425034
OpenAlexW4291923883

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.