Evidence map›Paper›PMID 33217787›Full record

ArticleMedicine2020

A comparison of the efficacy and safety of combined aclidinium bromide and formoterol fumarate in the treatment of chronic obstructive pulmonary disease: A protocol for systematic review and meta-analysis.

Hong Lu, Yi-Tong Huang, He-Jiang Chen, Pei-Feng Chen

Open access · goldAbstract readComparative Study
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, top 76% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

4 authors at 2 institutions in 3 countries.

Hong LuDepartment of Respiratory, Zhuji Affiliated Hospital of Shaoxing University, Zhuji, Zhejiang, P.R. China.ORCID 0000-0003-3896-3729
Yi-Tong Huang
He-Jiang Chen
Pei-Feng Chen
RCVS Knowledge · GBShaoxing People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo systematically evaluate the efficacy and safety of combined aclidinium bromide and formoterol fumarate for chronic obstructive pulmonary disease (COPD).

methodsElectronic databases including PubMed, MEDLINE, EMBASE, Cochrane Library Central Register of Controlled Trials, WanFang, and China National Knowledge Infrastructure (CNKI) database were searched for studies on the use of combined aclidinium bromide and formoterol fumarate in the treatment of COPD. Two independent researchers performed literature screening, data extraction, and assessment of quality of studies. The strength of the association of the efficacy and safety of combined aclidinium bromide and formoterol fumarate in the treatment of COPD was evaluated according to the odds ratio (OR), mean differences (MDs), and 95% confidence interval (CI). Statistical analysis was carried out via using RevMan 5.3 software.

resultsThe results of the present study will be published in a peer-reviewed journal.

conclusionThe conclusion of the present study will provide evidence to judge whether combined aclidinium bromide and formoterol fumarate is an effective and safety intervention in the treatment of COPD. SYSTEMATIC REVIEW REGISTRATION NUMBER: INPLASY202070063.

Indexed as

Research DesignBronchodilator AgentsDrug CombinationsFormoterol FumarateHumansMeta-Analysis as TopicPulmonary Disease, Chronic ObstructiveSystematic Reviews as TopicTropanesaclidinium bromideBronchodilator AgentsDrug CombinationsFormoterol FumarateTropanes

Identifiers

PMID33217787
PMCPMC7676549
OpenAlexW3102322416

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.