Evidence map›Paper›PMID 31930186›Full record

ArticleJCO precision oncology2018

Future of Evidence Synthesis in Precision Oncology: Between Systematic Reviews and Biocuration.

Simina M Boca, Orestis A Panagiotou, Shruti Rao, Peter B McGarvey, Subha Madhavan

Abstract read
In one paragraph

Article in JCO precision oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. 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

5 authors.

Simina M BocaGeorgetown University Medical Center, Washington, DC.
Orestis A PanagiotouBrown University School of Public Health, Providence, RI.
Shruti RaoGeorgetown University Medical Center, Washington, DC.
Peter B McGarveyGeorgetown University Medical Center, Washington, DC.
Subha MadhavanGeorgetown University Medical Center, Washington, DC.

Funding

MACE2K - Molecular And Clinical Extraction: A Natural Language Processing Tool for Personalized MedicineU01HG008390 · NHGRI · GEORGETOWN UNIVERSITY · PI MADHAVAN, SUBHA · 2015 to 2017
$1.5M
Integration of 3D primary tumor drug-profiling with patient-specific drug gene networks for recommending targeted cancer therapies (2 of 2).R21CA220398 · NCI · GEORGETOWN UNIVERSITY · PI BOCA, SIMINA MARIA · 2017 to 2019
$497k
NCI NIH HHS R21 CA220398NHGRI NIH HHS U01 HG008390
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID31930186
PMCPMC6953752

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.