Evidence map›Paper›PMID 29182143›Full record

ArticleThe American journal of tropical medicine and hygiene2018

Joint Modeling of Mixed

Kathryn L Colborn, Ivo Mueller, Terence P Speed

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 78% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

3 authors at 2 institutions in 2 countries.

Kathryn L ColbornDepartment of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Denver, Aurora, Colorado.
Ivo MuellerWalter and Eliza Hall Institute, Melbourne, Australia.
Terence P SpeedDepartment of Statistics, University of California, Berkeley, Berkeley, California.
Walter and Eliza Hall Institute of Medical Research · AUColorado School of Public Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infectious diseases often present as coinfections that may affect each other in positive or negative ways. Understanding the relationship between two coinfecting pathogens is thus important to understand the risk of infection and burden of disease caused by each pathogen. Although coinfections with

Indexed as

Models, StatisticalPlasmodium falciparumPlasmodium vivaxPoisson DistributionChild, PreschoolHumansIncidenceInfantMalaria, FalciparumMalaria, VivaxNew Guinea

Identifiers

PMID29182143
PMCPMC5928727
OpenAlexW2770024980

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.