Evidence map›Paper›PMID 19507063›Full record

ArticleEndocrine2009

Genetic copy number alterations and IL-13 expression differences in papillary thyroid cancers and benign nodules.

ZeFei Zhao, Qing Wei, Yongju Zhao, Fukang Sun, Xiaolong Jin, Bin Cui, Guang Ning

Abstract read
PubMed Publisher
In one paragraph

Article in Endocrine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 86% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Interleukins as markers of inflammation in malignant and benign thyroid disease.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2014
    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

7 authors at 3 institutions in 1 country.

ZeFei ZhaoShanghai Institute of Endocrinology and Metabolism, Shanghai JiaoTong University School of Medicine, Shanghai, 200025, People's Republic of China.
Qing Wei
Yongju Zhao
Fukang Sun
Xiaolong Jin
Bin Cui
Guang Ning
Ruijin Hospital · CNShanghai Jiao Tong University · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thyroid nodules were the extremely common endocrine tumors, in which papillary thyroid carcinomas (PTCs) were the most prevalent endocrine malignancy, representing 80-90% of all thyroid malignancies. It was still a dilemma to discriminate PTCs and benign thyroid nodules. With a new molecular genetics technology of Multiplex ligation-dependent probe amplification (MLPA), we investigated 13 PTC and 14 benign nodule tissue samples. The results showed that PTCs had more genetic copy number alteration than benign nodules (P < 0.001). Receiver operating characteristic (ROC) curve analysis suggested that genomic aberrations would provide a moderate accuracy method to discriminate PTCs and benign nodules. The gain of interleukin 13 (IL-13) gene obviously identified the great difference between PTCs and benign nodules. Immunohistochemistry also confirmed significantly higher IL-13 expression in the PTCs (P < 0.001). The current study showed that MLPA should be an effective method to diagnose PTCs and benign thyroid nodules, and also provided a clue to another relationship between IL-13 and PTCs.

Indexed as

AdultAgedBiomarkers, TumorCarcinoma, PapillaryDiagnosis, DifferentialFemaleGene DosageGenetic TestingHumansImmunohistochemistryInterleukin-13MaleMiddle AgedNeoplasmsThyroid GlandThyroid NeoplasmsBiomarkers, TumorInterleukin-13

Identifiers

PMID19507063
OpenAlexW2024781777

What OpenQuestion holds

Textmetadata
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.