Evidence map›Paper›PMID 28883783›Full record

ArticleJournal of statistical software2017

Performing Arm-Based Network Meta-Analysis in R with the pcnetmeta Package.

Lifeng Lin, Jing Zhang, James S Hodges, Haitao Chu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of statistical software, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 28 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 28 pooled it
–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

70 citing papers in PubMed, 28 syntheses or guidelines pooled it.

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10 more citing papers are in PubMed but not listed here.

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.

Lifeng LinUniversity of Minnesota.
Jing ZhangUniversity of Maryland.
James S HodgesUniversity of Minnesota.
Haitao ChuUniversity of Minnesota.

Funding

Women's CancerP30CA077598 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Jeffrey S. Miller · 1998 to 2026
$100.4M
Research CoreU54MD008620 · NIMHD · UNIVERSITY OF MINNESOTA · PI SHIKANY, JAMES M, WARLICK, CHRISTOPHER A · 2013 to 2017
$13.5M
Prevention of Lower Urinary Tract Symptoms in Women: Bladder Health Scientific and Data Coordinating Center (PLUS-SDCC) (U01)U01DK106786 · NIDDK · UNIVERSITY OF MINNESOTA · PI HARLOW, BERNARD L, RUDSER, KYLE · 2015 to 2019
$8.4M
Statistical Methods and Software for Multivariate Meta-analysisR21LM012197 · NLM · UNIVERSITY OF MINNESOTA · PI CHU, HAITAO · 2015 to 2016
$385k
Bayesian Methods and Software for Patient-Centered Network Meta-Analysis of BinarR21AI103012 · NIAID · UNIVERSITY OF MINNESOTA · PI CHU, HAITAO · 2013 to 2014
$385k
Aiding Effective Decision Making in Dental Research Using Network Meta-analysisR03DE024750 · NIDCR · UNIVERSITY OF MINNESOTA · PI CHU, HAITAO, JOHN, MIKE · 2015 to 2016
$292k
NCI NIH HHS P30 CA077598NIAID NIH HHS R21 AI103012NIDCR NIH HHS R03 DE024750NIDDK NIH HHS U01 DK106786NIMHD NIH HHS U54 MD008620NLM NIH HHS R21 LM012197
6 · The paper itself

Abstract

Network meta-analysis is a powerful approach for synthesizing direct and indirect evidence about multiple treatment comparisons from a collection of independent studies. At present, the most widely used method in network meta-analysis is contrast-based, in which a baseline treatment needs to be specified in each study, and the analysis focuses on modeling relative treatment effects (typically log odds ratios). However, population-averaged treatment-specific parameters, such as absolute risks, cannot be estimated by this method without an external data source or a separate model for a reference treatment. Recently, an arm-based network meta-analysis method has been proposed, and the R package

Indexed as

absolute effectarm-based methodBayesian inferencenetwork meta-analysis

Identifiers

PMID28883783
PMCPMC5584882

What OpenQuestion holds

Textmetadata
LicenceTDM
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.