Evidence map›Paper›PMID 28916728›Full record

ArticleBioscience reports2017

Association between

Mingfeng Zheng, Shiyuan Shi, Qi Zheng, Yifan Wang, Xiaozhang Ying, Yanghui Jin

Open access · goldAbstract read
In one paragraph

Article in Bioscience reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.3field-weighted citation impact, top 42% 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, 10 citations in OpenAlex.

  1. Review
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  8. The Association of rs1898830 inJournal of cardiovascular development and disease · 2020
    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

6 authors at 1 institution in 1 country.

Mingfeng ZhengDepartment of Orthopedics, Hangzhou Red Cross Hospital (Zhejiang Chinese Medicine Integrated Hospital), 208 Huanchengdong Road, Hangzhou, Zhejiang 310003, China.
Shiyuan ShiDepartment of Orthopedics, Hangzhou Red Cross Hospital (Zhejiang Chinese Medicine Integrated Hospital), 208 Huanchengdong Road, Hangzhou, Zhejiang 310003, China.
Qi ZhengDepartment of Orthopedics, Hangzhou Red Cross Hospital (Zhejiang Chinese Medicine Integrated Hospital), 208 Huanchengdong Road, Hangzhou, Zhejiang 310003, China.
Yifan WangDepartment of Orthopedics, Hangzhou Red Cross Hospital (Zhejiang Chinese Medicine Integrated Hospital), 208 Huanchengdong Road, Hangzhou, Zhejiang 310003, China.
Xiaozhang YingDepartment of Orthopedics, Hangzhou Red Cross Hospital (Zhejiang Chinese Medicine Integrated Hospital), 208 Huanchengdong Road, Hangzhou, Zhejiang 310003, China.
Yanghui JinDepartment of Orthopedics, Hangzhou Red Cross Hospital (Zhejiang Chinese Medicine Integrated Hospital), 208 Huanchengdong Road, Hangzhou, Zhejiang 310003, China yanghuijin154@sina.com.
Hangzhou Red Cross Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoarthritis (OA) is a complex disease that is induced by many genetic risk variants and other factors. To examine the role of toll-like receptor 9 (TLR-9) in OA patients, we conducted a case-control study involving 215 knee OA (KOA) patients and 215 controls in a Chinese population. Genotyping with a custom-by-design 48-Plex single nucleotide polymorphism Scan™ Kit showed the

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideAdultAsian PeopleCase-Control StudiesDNAFemaleHumansLogistic ModelsMaleOsteoarthritis, KneeRisk FactorsToll-Like Receptor 9DNATLR9 protein, humanToll-Like Receptor 9bioinformaticsknee osteoarthritisrs187084 polymorphismToll-like receptor 9

Identifiers

PMID28916728
PMCPMC5643737
OpenAlexW2755518823

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.