Evidence map›Paper›PMID 28289664›Full record

ArticleAnnals of surgical treatment and research2017

Significance of micrometastases in the calculation of the lymph node ratio for papillary thyroid cancer.

Young Woo Chang, Hwan Soo Kim, Seung Pil Jung, Hoon Yub Kim, Jae Bok Lee, Jeoung Won Bae, Gil Soo Son

Abstract read
In one paragraph

Article in Annals of surgical treatment and research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

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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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Prophylactic Central Compartment Dissection on the Long-Term Outcome of Advanced (N0-T3/T4) Papillary Thyroid Cancer.Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

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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.

Young Woo ChangDepartment of Breast Endocrine Surgery, Korea University College of Medicine, Seoul, Korea.
Hwan Soo KimDepartment of Breast Endocrine Surgery, Korea University College of Medicine, Seoul, Korea.
Seung Pil JungDepartment of Breast Endocrine Surgery, Korea University College of Medicine, Seoul, Korea.
Hoon Yub KimDepartment of Breast Endocrine Surgery, Korea University College of Medicine, Seoul, Korea.
Jae Bok LeeDepartment of Breast Endocrine Surgery, Korea University College of Medicine, Seoul, Korea.
Jeoung Won BaeDepartment of Breast Endocrine Surgery, Korea University College of Medicine, Seoul, Korea.
Gil Soo SonDepartment of Breast Endocrine Surgery, Korea University College of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe lymph node ratio (LNR) is an important prognostic factor in papillary thyroid carcinoma (PTC), but micrometastases in cervical lymph nodes (LNs) are not of great clinical importance. In this study, we analyzed the accuracy of prediction of the prognosis depending on whether micrometastases were included in the number of metastatic LNs when calculating LNR.

methodsThe study included 353 PTC patients who underwent total thyroidectomy with neck LN dissection, and calculated LNR by 2 methods according to whether micrometastases were included in the number of metastatic LNs: Method 1 did not and method 2 did include. To compare the predictive values of LNR by the 2 methods, correlation coefficients and receiver operating characteristic (ROC) curves were analyzed.

resultsPositive correlations were found between LNR and preablation stimulated thyroglobulin (sTg) levels in both methods, but the correlation between method 1 LNR and preablation sTg level was significantly stronger than that for method 2 (Fisher z = 1.7, P = 0.045). The areas under these 2 independent ROC curves were analyzed; the prognostic efficacy of method 1 LNR was more accurate than that of method 2 LNR, and the difference was statistically significant (P = 0.0001).

conclusionRegional recurrence of PTC can be predicted more accurately by not including micrometastases in the number of metastatic LNs when calculating LNR.

Indexed as

Lymph nodesPapillary thyroid carcinoma

Identifiers

PMID28289664
PMCPMC5344800

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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.