Evidence map›Paper›PMID 29509799›Full record

ArticlePloS one2018

Application of metabolomics in prediction of lymph node metastasis in papillary thyroid carcinoma.

Ji Won Seo, Kyunghwa Han, Jandee Lee, Eun-Kyung Kim, Hee Jung Moon, Jung Hyun Yoon, Vivian Youngjean Park, Hyeon-Man Baek, Jin Young Kwak

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 13% 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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. The Potential of Metabolomics in the Diagnosis of Thyroid Cancer.International journal of molecular sciences · 2020
    Review
  12. Review
  13. Review
  14. Metabolomics of thyroid nodules and the future.Archives of endocrinology and metabolism · 2018
    Article
  15. 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

9 authors at 2 institutions in 1 country.

Ji Won SeoDepartment of Radiology, Severance Hospital, Research Institute of Radiological Science Yonsei University College of Medicine, Seoul, Republic of Korea.
Kyunghwa HanDepartment of Radiology, Severance Hospital, Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Republic of Korea.
Jandee LeeDepartment of Surgery, Yonsei University College of Medicine, Seoul, Republic of Korea.
Eun-Kyung KimDepartment of Radiology, Severance Hospital, Research Institute of Radiological Science Yonsei University College of Medicine, Seoul, Republic of Korea.
Hee Jung MoonDepartment of Radiology, Severance Hospital, Research Institute of Radiological Science Yonsei University College of Medicine, Seoul, Republic of Korea.
Jung Hyun YoonDepartment of Radiology, Severance Hospital, Research Institute of Radiological Science Yonsei University College of Medicine, Seoul, Republic of Korea.
Vivian Youngjean ParkDepartment of Radiology, Severance Hospital, Research Institute of Radiological Science Yonsei University College of Medicine, Seoul, Republic of Korea.
Hyeon-Man BaekGachon University, Department of Biomedical Engineering, Incheon, Republic of Korea.
Jin Young KwakDepartment of Radiology, Severance Hospital, Research Institute of Radiological Science Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-6212-1495
Yonsei University · KRGachon University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study was to find useful metabolites to predict lymph node (LN) metastasis in patients with papillary thyroid cancer (PTC) through a metabolomics approach and investigate the potential role of metabolites as a novel prognostic marker. MATERIALS AND

methodsFifty-two consecutive patients (median age: 41.5 years, range 15-74 years) were enrolled who underwent total thyroidectomy and central LN dissection with or without lateral LN dissection in Severance Hospital between October 2013 and July 2015. The study specimens were provided by the Severance Hospital Gene Bank, and consisted of PTC from each patient. The specimens were prepared for proton nuclear magnetic resonance (1H-NMR) spectroscopy. Spectral data by 1H-NMR spectroscopy were acquired, processed, and analyzed. Patients were grouped in three ways, according to the presence of LN metastasis, central LN metastasis and lateral LN metastasis. Chi-square test and the student t-test were used to analyze categorical variables and continuous variables, respectively. The Mann-Whitney U test was used for univariate analysis of metabolites. Orthogonal projections to latent structure discriminant analysis (OPLS-DA) was used for multivariate analysis to discriminate metabolic differences between the two groups.

resultsAmong 52 patients, 32 had central LN metastasis and 19 had lateral LN metastasis. No clinical or histopathological characteristic was significantly different for all comparisons. On univariate analysis, no metabolite showed significant difference for all comparisons. On multivariate analysis, OPLS-DA did not discriminate the presence and absence of LN metastasis. Lactate was found to be the most promising metabolite.

conclusionsNo metabolite could discriminate the presence of LN metastasis. However, lactate was found to be the most promising metabolite for discrimination. Further studies with larger sample sizes are needed to elucidate significant metabolites which can indicate the presence of LN metastasis in patients with PTC.

Indexed as

MetabolomicsAdolescentAdultAgedBiomarkers, TumorCarcinoma, PapillaryFemaleHumansLymphatic MetastasisMaleMiddle AgedThyroid Cancer, PapillaryThyroid NeoplasmsYoung AdultBiomarkers, Tumor

Identifiers

PMID29509799
PMCPMC5839571
OpenAlexW2793231138

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.