Evidence map›Paper›PMID 32282408›Full record

ArticleEpidemiology (Cambridge, Mass.)2020

Re. Selecting Optimal Subgroups for Treatment Using Many Covariates.

Bas B L Penning de Vries, Rolf H H Groenwold, Alex Luedtke

Abstract readLetterComment
PubMed Full text at PMC Publisher
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2020. 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
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.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Bas B L Penning de VriesDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands, b.b.l.penning_de_vries@lumc.nl.
Rolf H H GroenwoldDepartments of Clinical Epidemiology and Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands.
Alex LuedtkeDepartment of Statistics, University of Washington, Seattle, Washington, Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.

Funding

High-Resolution Inference for Correlates of Vaccine ProtectionDP2LM013340 · NLM · UNIVERSITY OF WASHINGTON · PI LUEDTKE, ALEX · 2019 to 2019
$2.3M
NLM NIH HHS DP2 LM013340
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID32282408
PMCPMC7269795

What OpenQuestion holds

Textmetadata
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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.