Evidence map›Paper›PMID 31462633›Full record

ArticleNature communications2019

Author Correction: Association of imputed prostate cancer transcriptome with disease risk reveals novel mechanisms.

Nima C Emami, Linda Kachuri, Travis J Meyers, Rajdeep Das, Joshua D Hoffman, Thomas J Hoffmann, Donglei Hu, Jun Shan, Felix Y Feng, Elad Ziv and 2 more

Abstract readPublished Erratum
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2019. 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

12 authors.

Nima C EmamiProgram in Biological and Medical Informatics, University of California San Francisco, San Francisco, CA, 94158, USA.
Linda KachuriDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, 94158, USA.
Travis J MeyersDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, 94158, USA.
Rajdeep DasDepartment of Urology, University of California San Francisco, San Francisco, CA, 94158, USA.
Joshua D HoffmanDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, 94158, USA.
Thomas J HoffmannDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, 94158, USA.ORCID http://orcid.org/0000-0001-6893-4449
Donglei HuInstitute for Human Genetics, University of California San Francisco, San Francisco, CA, 94143, USA.ORCID http://orcid.org/0000-0002-0351-001X
Jun ShanDivision of Research, Kaiser Permanente, Northern California, Oakland, CA, 94612, USA.
Felix Y FengDepartment of Urology, University of California San Francisco, San Francisco, CA, 94158, USA.
Elad ZivInstitute for Human Genetics, University of California San Francisco, San Francisco, CA, 94143, USA.
Stephen K Van Den EedenDepartment of Urology, University of California San Francisco, San Francisco, CA, 94158, USA.ORCID http://orcid.org/0000-0002-5599-8387
John S WitteProgram in Biological and Medical Informatics, University of California San Francisco, San Francisco, CA, 94158, USA. Jwitte@ucsf.edu.

Funding

BMI Bioinformatics Training GrantsT32GM067547 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HERNANDEZ, RYAN D. · 2003 to 2022
$6.6M
Translational Epidemiology - Training for Research on Aging and Chronic diseaseT32AG049663 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Elizabeth Rose Mayeda, Mark J Pletcher · 2016 to 2026
$5.8M
6 · The paper itself

Abstract

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Identifiers

PMID31462633
PMCPMC6713745

What OpenQuestion holds

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Registered trials

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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.