Evidence map›Paper›PMID 32922760›Full record

ArticleBone & joint research2020

Gut microbiome and osteoporosis: a review.

Sucheng Li, Yubo Mao, Feng Zhou, Huilin Yang, Qin Shi, Bin Meng

Open access · goldAbstract read
In one paragraph

Article in Bone & joint research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

37 citing papers in PubMed, 57 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

6 authors at 2 institutions in 1 country.

Sucheng LiDepartment of Orthopaedic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China.
Yubo MaoDepartment of Orthopaedic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China.
Feng ZhouDepartment of Orthopaedic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China.
Huilin YangDepartment of Orthopaedic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China.
Qin ShiDepartment of Orthopaedic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China.
Bin MengDepartment of Orthopaedic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China.
First Affiliated Hospital of Soochow University · CNSoochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoporosis (OP) is a chronic metabolic bone disease characterized by the decrease of bone tissue per unit volume under the combined action of genetic and environmental factors, which leads to the decrease of bone strength, makes the bone brittle, and raises the possibility of bone fracture. However, the exact mechanism that determines the progression of OP remains to be underlined. There are hundreds of trillions of symbiotic bacteria living in the human gut, which have a mutually beneficial symbiotic relationship with the human body that helps to maintain human health. With the development of modern high-throughput sequencing (HTS) platforms, there has been growing evidence that the gut microbiome may play an important role in the programming of bone metabolism. In the present review, we discuss the potential mechanisms of the gut microbiome in the development of OP, such as alterations of bone metabolism, bone mineral absorption, and immune regulation. The potential of gut microbiome-targeted strategies in the prevention and treatment of OP was also evaluated. Cite this article:

Indexed as

GutMicrobiotaOsteoporosisTreatment

Identifiers

PMID32922760
PMCPMC7468557
OpenAlexW3082895404

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.