Evidence map›Paper›PMID 30214625›Full record

ArticleTheranostics2018

Transcriptomic signature associated with carcinogenesis and aggressiveness of papillary thyroid carcinoma.

Huajing Teng, Fengbiao Mao, Jialong Liang, Meiying Xue, Wenqing Wei, Xianfeng Li, Kun Zhang, Dongdong Feng, Baoguo Liu, Zhongsheng Sun

Open access · goldAbstract read
In one paragraph

Article in Theranostics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

46 citing papers in PubMed, 78 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

Huajing TengBeijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, China.
Fengbiao MaoBeijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, China.
Jialong LiangBeijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, China.
Meiying XueBeijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, China.
Wenqing WeiBeijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, China.
Xianfeng LiBeijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, China.
Kun ZhangInstitute of Genomic Medicine, Wenzhou Medical University, Wenzhou, China.
Dongdong FengDepartment of Head and Neck Surgery, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China.
Baoguo LiuDepartment of Head and Neck Surgery, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China.
Zhongsheng SunBeijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, China.
Chinese Academy of Sciences · CNUniversity of Chinese Academy of Sciences · CNWenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Papillary thyroid carcinoma (PTC) is the fastest-growing disease caused by numerous molecular alterations in addition to previously reported DNA mutations. There is a compelling need to identify novel transcriptomic alterations that are associated with the pathogenesis of PTC with potential diagnostic and prognostic implications.

Indexed as

TranscriptomeCarcinogenesisChinaHumansPrognosisSensitivity and SpecificitySurvival AnalysisThyroid Cancer, Papillaryalternative splicingcircular RNAsdrug susceptibilitylong non-coding RNAspapillary thyroid carcinomaRNA editing

Identifiers

PMID30214625
PMCPMC6134936
OpenAlexW2885548039

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.