Evidence map›Paper›PMID 25852195›Full record

SynthesisAmerican journal of Alzheimer's disease and other dementias2015

Lack of genetic association between TREM2 and Alzheimer's disease in East Asian population: a systematic review and meta-analysis.

Man Huang, Dejun Wang, Zhijun Xu, Yongshan Xu, Xiaoping Xu, Yuefeng Ma, Zheng Xia

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in American journal of Alzheimer's disease and other dementias, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
1.9field-weighted citation impact, top 15% 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, 3 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Pooled it
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  12. TREM2 in Neurodegenerative Diseases.Molecular neurodegeneration · 2017
    Review
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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

7 authors at 2 institutions in 1 country.

Man HuangDepartment of General Intensive Care Unit, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Dejun Wang
Zhijun Xu
Yongshan Xu
Xiaoping Xu
Yuefeng Ma
Zheng Xia
Second Affiliated Hospital of Zhejiang University · CNZhejiang Chinese Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLarge-scale genome-wide association studies have identified TREM2 variants to be significantly associated with Alzheimer's disease (AD) in caucasian population. The goal of this systematic study and meta-analysis was to assess the association between Triggering receptor expressed on myeloid cells 2 (TREM2) variants and AD in East Asian population.

methodsIn this study, literatures were searched in PubMed, MEDLINE, EMBASE, and the Cochrane library to screen citations from January 1990 to June 2014. Data analysis was done by using the Stata 12 software.

resultsTwelve studies were considered for analysis. A total of 13 535 patients with AD and 22 976 healthy controls were studied. The results showed that rs75932628 variant was significantly associated with AD in caucasian population (P < .001, odds ratio ¼ 3.17, 95% confidence interval 2.45-4.09). However, the association was not found in East Asian population.

conclusionIn our study, we found that TREM2 variant is likely not associated with AD in East Asian population.

Indexed as

Alzheimer DiseaseAsia, EasternAsian PeopleHumansMembrane GlycoproteinsReceptors, ImmunologicWhite PeopleMembrane GlycoproteinsReceptors, ImmunologicTREM2 protein, human

Identifiers

PMID25852195
PMCPMC10852690
OpenAlexW2157912014

What OpenQuestion holds

Textmetadata
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.