Evidence map›Paper›PMID 30374067›Full record

ArticleNature genetics2018

Currently available bulk sequencing data do not necessarily support a model of neutral tumor evolution.

Thomas O McDonald, Shaon Chakrabarti, Franziska Michor

Abstract readLetterComment
In one paragraph

Article in Nature genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Trial
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  8. Review
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  16. Review
  17. Article
  18. Article
  19. Article
  20. Neutral syndrome.Nature human behaviour · 2020
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Thomas O McDonald *Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
Shaon Chakrabarti *Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
Franziska MichorDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA. michor@jimmy.harvard.edu.ORCID http://orcid.org/0000-0003-4869-8842

Funding

Project 3: Single Cell Measures of Intratumor Diversity for Optimal Breast Cancer TherapyU54CA193461 · NCI · DANA-FARBER CANCER INST · PI POLYAK, KORNELIA · 2015 to 2020
$11.2M
NCI NIH HHS U54 CA193461
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Genetic DriftNeoplasmsHumans

Identifiers

PMID30374067
PMCPMC6467055

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.