Evidence map›Paper›PMID 30150639›Full record

SynthesisNPJ primary care respiratory medicine2018

Systematic literature review and meta-analysis of US-approved LAMA/LABA therapies versus tiotropium in moderate-to-severe COPD.

MeiLan K Han, Riju Ray, Jason Foo, Chaienna Morel, Beth Hahn

Erratum issuedOpen access · goldAbstract readComparative StudyMeta-AnalysisSystematic Review
In one paragraph

Synthesis in NPJ primary care respiratory medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
4.0field-weighted citation impact, top 5% 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Effects of LAMA/LABA Alone and in Combination on Cardiac Safety.International journal of chronic obstructive pulmonary disease · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

MeiLan K HanUniversity of Michigan, Ann Arbor, MI, USA.
Riju RayGSK Research, Triangle Park, NC, USA.
Jason FooMapi Group, Houten, The Netherlands.
Chaienna MorelMapi Group, Houten, The Netherlands.
Beth HahnGSK Research, Triangle Park, NC, USA. Beth.A.Hahn@gsk.com.
Research Triangle Park Foundation · USUniversity of Michigan–Ann Arbor · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dual bronchodilator maintenance therapy may benefit patients with moderate-to-severe chronic obstructive pulmonary disease (COPD) versus long-acting muscarinic antagonist (LAMA) monotherapy. The efficacy and safety of US-approved LAMA/long-acting beta-agonist (LABA) combinations versus tiotropium (TIO), a LAMA, were assessed. This systematic review and meta-analysis (GSK: 206938), conducted in MEDLINE, MEDLINE In-process, and EMBASE following Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines, identified randomized clinical trials (>8 weeks) in moderate-to-severe COPD (per Global Initiative for Chronic Obstructive Lung Disease guidelines), receiving LAMA/LABA or TIO. ENDPOINTS: difference in change from baseline in lung function (forced expiratory volume in 1 s [FEV

Indexed as

Adrenergic beta-2 Receptor AgonistsBronchodilator AgentsDrug ApprovalDrug CombinationsHumansMuscarinic AntagonistsPulmonary Disease, Chronic ObstructiveRandomized Controlled Trials as TopicSeverity of Illness IndexTiotropium BromideUnited StatesAdrenergic beta-2 Receptor AgonistsBronchodilator AgentsDrug CombinationsMuscarinic AntagonistsTiotropium Bromide

Identifiers

PMID30150639
PMCPMC6110857
OpenAlexW2888346500

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.