Evidence map›Paper›PMID 29133385›Full record

ArticleEndocrine connections2018

Targeted next-generation sequencing of cancer genes in poorly differentiated thyroid cancer.

Tiemo S Gerber, Arno Schad, Nils Hartmann, Erik Springer, Ulrich Zechner, Thomas J Musholt

Open access · goldAbstract read
In one paragraph

Article in Endocrine connections, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
2.7field-weighted citation impact, top 9% 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 39 citations in OpenAlex.

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  18. High incidence ofTherapeutic advances in medical oncology · 2020
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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 at 2 institutions in 1 country.

Tiemo S GerberEndocrine Surgery SectionDepartment of General, Visceral and Transplantation Surgery, University Medicine, Mainz, Germany tiemogerber@gmail.com.
Arno SchadDepartment of PathologyUniversity Medicine, Mainz, Germany.
Nils HartmannDepartment of PathologyUniversity Medicine, Mainz, Germany.
Erik SpringerDepartment of PathologyUniversity Medicine, Mainz, Germany.
Ulrich ZechnerInstitute of Human GeneticsUniversity Medicine, Mainz, Germany.
Thomas J MusholtEndocrine Surgery SectionDepartment of General, Visceral and Transplantation Surgery, University Medicine, Mainz, Germany.
Johannes Gutenberg University Mainz · DEUniversity Medical Center of the Johannes Gutenberg University Mainz · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Poorly differentiated thyroid carcinoma (PDTC) is a rare malignancy with higher mortality than well-differentiated thyroid carcinoma. The histological diagnosis can be difficult as well as the therapy. Improved diagnosis and new targeted therapies require knowledge of DNA sequence changes in cancer-relevant genes. The TruSeq Amplicon Cancer Panel was used to screen cancer genomes from 25 PDTC patients for somatic single-nucleotide variants in 48 genes known to represent mutational hotspots. A total of 4490 variants were found in 23 tissue samples of PDTC. Ninety-eight percent (4392) of these variants did not meet the inclusion criteria, while 98 potentially pathogenic or pathogenic variants remained after filtering. These variants were distributed over 33 genes and were all present in a heterozygous state. Five tissue samples harboured not a single variant. Predominantly, variants in

Indexed as

endocrine cancersrare diseases/syndromesthyroid

Identifiers

PMID29133385
PMCPMC5744626
OpenAlexW2770900102

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.