Evidence map›Paper›PMID 26973161›Full record

ArticleThe Lancet. Respiratory medicine2016

Cardiovascular and neuropsychiatric risks of varenicline - Authors' reply.

Daniel Kotz, Wolfgang Viechtbauer, Colin Simpson, Onno C P van Schayck, Robert West, Aziz Sheikh

Abstract readLetterComment
PubMed Publisher
In one paragraph

Article in The Lancet. Respiratory medicine, 2016. 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

5 · Who and what money

Authors and funding

6 authors.

Daniel KotzInstitute of General Practice, Medical Faculty of the Heinrich-Heine-University Düsseldorf, 40225 Düsseldorf, Germany; Department of Family Medicine, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, Netherlands; Allergy & Respiratory Research Group, Centre for Medical Informatics, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK; Cancer Research UK Health Behaviour Research Centre, University College London, London, UK. Electronic address: Daniel.Kotz@med.uni-duesseldorf.de.
Wolfgang ViechtbauerMHeNS School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands.
Colin SimpsonAllergy & Respiratory Research Group, Centre for Medical Informatics, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.
Onno C P van SchayckDepartment of Family Medicine, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, Netherlands; Allergy & Respiratory Research Group, Centre for Medical Informatics, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.
Robert WestCancer Research UK Health Behaviour Research Centre, University College London, London, UK.
Aziz SheikhDepartment of Family Medicine, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, Netherlands; Allergy & Respiratory Research Group, Centre for Medical Informatics, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK; Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital/Harvard Medical School, Boston MA, USA.

Funding

Medical Research Council MC_PC_13040Medical Research Council MR/K007017/1
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Cardiovascular DiseasesFemaleHumansMaleMental DisordersNicotinic AgonistsTobacco Use Cessation DevicesVareniclineNicotinic AgonistsVarenicline

Identifiers

PMID26973161

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.