Evidence map›Paper›PMID 32756187›Full record

ArticleMedicine2020

Inflammatory cytokine levels in multiple system atrophy: A protocol for systematic review and meta-analysis.

HongZhou Wang, WanHua Wang, ZhongQuan Yi, PanWen Zhao, Hui Zhang, PingLei Pan

Abstract read
In one paragraph

Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

HongZhou WangDepartment of Neurology, Kunshan Hospital, Affiliated to Jiangsu University, Kunshan.
WanHua WangDepartment of Neurology, Kunshan Hospital, Affiliated to Jiangsu University, Kunshan.
ZhongQuan YiDepartment of Central Laboratory, Yancheng School of Clinical Medicine of Nanjing Medical University, Yancheng.
PanWen ZhaoDepartment of Central Laboratory, Yancheng School of Clinical Medicine of Nanjing Medical University, Yancheng.
Hui ZhangDepartment of Central Laboratory, Yancheng School of Clinical Medicine of Nanjing Medical University, Yancheng.ORCID 0000-0003-2369-5215
PingLei PanDepartment of Neurology and Department of Central Laboratory, Yancheng School of Clinical Medicine of Nanjing Medical University, Yancheng, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple system atrophy (MSA) is a fatal neurodegenerative disease that progresses very rapidly and has a poor prognosis. Some studies indicate that the level of inflammatory cytokines may be related to MSA. However, no consistent conclusion has been drawn yet. The purpose of our research is to perform a meta-analysis to investigate whether the level of inflammatory cytokines is altered in MSA.

methodsCase-control studies on inflammatory cytokine levels in MSA will be searched in the following 3 databases: PubMed, Embase, and Web of Science from the database start time to March 17, 2020. Two independent authors will conduct research selection, data extraction, and quality evaluation. Data synthesis, subgroup analysis, sensitivity analysis, and the meta-analysis will be performed using Stata15.0 software.

resultsThis study will provide a comprehensive review of all studies on inflammatory cytokine levels in MSA.

conclusionTo the best of our knowledge, this study will be the first meta-analysis that provides the quantitative evidence of inflammatory cytokine levels in MSA. REGISTRATION NUMBER: INPLASY202060034.

Indexed as

AdultCase-Control StudiesCytokinesFemaleHumansMaleMeta-Analysis as TopicMultiple System AtrophyResearch DesignSystematic Reviews as TopicCytokines

Identifiers

PMID32756187
PMCPMC7402900

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Registered trials

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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.