Evidence map›Paper›PMID 28004011›Full record

ArticlePacific Symposium on Biocomputing. Pacific Symposium on Biocomputing2016

METHODS TO ENHANCE THE REPRODUCIBILITY OF PRECISION MEDICINE.

Arjun K Manrai, Chirag J Patel, Nils Gehlenborg, Nicholas P Tatonetti, John P A Ioannidis, Isaac S Kohane

Abstract read
In one paragraph

Article in Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Natural Language Processing for the Evaluation of Methodological Standards and Best Practices of EHR-based Clinical Research.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2020
    Article
  5. 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

6 authors.

Arjun K ManraiDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA.
Chirag J PatelDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA.
Nils GehlenborgDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA.
Nicholas P TatonettiDepartment of Biomedical Informatics, Columbia University, New York, NY.
John P A IoannidisDepartment of Medicine, Stanford University School of Medicine, Stanford, CA.
Isaac S KohaneDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA.

Funding

Drug Effect Discovery Through Data Mining and Integrative Chemical BiologyR01GM107145 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI TATONETTI, NICHOLAS P · 2014 to 2018
$2.5M
Visualization of (Epi)Genomic Data for Discovery of Disease-Associated VariantsR00HG007583 · NHGRI · HARVARD MEDICAL SCHOOL · PI GEHLENBORG, NILS · 2015 to 2017
$727k
NHGRI NIH HHS R00 HG007583NIGMS NIH HHS R01 GM107145
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Computational BiologyPrecision MedicineHumansReproducibility of Results

Identifiers

PMID28004011
PMCPMC5167531

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.