Evidence map›Paper›PMID 30784243›Full record

ReviewEndocrinology and metabolism (Seoul, Korea)2019

Mouse Models as a Tool for Understanding Progression in Braf

Iñigo Landa, Jeffrey A Knauf

Open access · diamondAbstract readReview
In one paragraph

Review in Endocrinology and metabolism (Seoul, Korea), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 16% of its field
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

14 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. BRAFCancers · 2022
    Article
  10. Article
  11. PositiveFrontiers in endocrinology · 2022
    Article
  12. Review
  13. Article
  14. 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

2 authors at 1 institution in 1 country.

Iñigo LandaHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0002-2817-8295
Jeffrey A KnaufHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0003-4456-8792
Memorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
MOLECULAR PATHOPHYSIOLOGY OF THYROID CELL GROWTHR01CA050706 · NCI · UNIVERSITY OF CINCINNATI · PI FAGIN, JAMES A · 1995 to 2023
$7.5M
ONCOGENIC EVENTS IN THYROID NEOPLASIAR01CA072597 · NCI · UNIVERSITY OF CINCINNATI · PI FAGIN, JAMES A · 1997 to 2020
$6.7M
NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA050706NCI NIH HHS R01 CA072597NIH P30-CA008748NIH P50-CA72012NIH RO1-CA50706NIH RO1-CA72597
6 · The paper itself

Abstract

The development of next generation sequencing (NGS) has led to marked advancement of our understanding of genetic events mediating the initiation and progression of thyroid cancers. The NGS studies have confirmed the previously reported high frequency of mutually-exclusive oncogenic alterations affecting

Indexed as

AnimalsCarcinoma, PapillaryClass I Phosphatidylinositol 3-KinasesDisease ProgressionHigh-Throughput Nucleotide SequencingHumansMiceMice, TransgenicMutationPromoter Regions, GeneticProto-Oncogene MasProto-Oncogene Proteins B-rafProto-OncogenesTelomeraseThyroid NeoplasmsTumor Suppressor Protein p53BRAF protein, humanClass I Phosphatidylinositol 3-KinasesMAS1 protein, humanPIK3CA protein, humanProto-Oncogene MasProto-Oncogene Proteins B-rafTelomeraseTP53 protein, humanTumor Suppressor Protein p53Mice, transgenicProto-oncogene proteins B-rafThyroid neoplasms

Identifiers

PMID30784243
PMCPMC6435851
OpenAlexW2944597831

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.