Evidence map›Paper›PMID 27770399›Full record

ArticleHead and neck pathology2017

Papillary Thyroid Carcinoma Cervical Lymph Node Metastasis with Cystic Change Differentiated from Congenital Cystic Lesions with the Assistance of Immunohistochemistry: A Case Study.

Yuanxin Liang, Tao Zuo

Abstract readCase Reports
In one paragraph

Article in Head and neck pathology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 26% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 2 institutions in 1 country.

Yuanxin LiangDepartment of Pathology, Tufts Medical Center, 800 Washington Street, Boston, MA, 02111, USA. yliang@tuftsmedicalcenter.org.
Tao ZuoDepartment of Pathology, Yale School of Medicine, 310 Cedar Street, New Haven, CT, 208023, USA. Tao.Zuo@yale.edu.
Tufts Medical Center · USYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnosis of cystic papillary thyroid carcinoma (PTC) lymph node metastasis at head neck region can be a challenge in the absence of known PTC history. The congenital cystic lesions of head neck, especially thyroglossal duct cyst (TGDC) and branchial cleft cyst (BCC), are major differential diagnoses in this clinicopathological scenario. The location of cyst and morphology of lining epithelium are critical clues for reaching correct diagnosis. However it is not uncommon that the flattened bland epithelial lining can be seen in both cystic metastases and congenital cystic lesions. Given that Pax8 and TTF-1 are common markers in thyroid follicular epithelium; we applied immunohistochemical stains of those two markers on aforementioned cystic lesions. Here we reported a case of cystic PTC metastasis to lymph node without prior malignancy history and cases of TGDC and BCC. Both Pax8 and TTF-1 stainings highlighted the cyst lining in PTC metastatic lymph node, while they were negative in the lining of TGDC and BCC. Collectively, Pax8 and TTF-1 immunohistochemical studies are very helpful tools for making correct diagnosis of head neck cystic lesions in the challenging clinical cases.

Indexed as

AdultBiomarkers, TumorBranchiomaCarcinoma, PapillaryDiagnosis, DifferentialFemaleHumansImmunohistochemistryLymphatic MetastasisMaleMiddle AgedNeckThyroglossal CystThyroid Cancer, PapillaryThyroid NeoplasmsBiomarkers, TumorCongenital cystic lesionsLymph node metastasisPapillary thyroid carcinomaPax8TTF-1

Identifiers

PMID27770399
PMCPMC5550386
OpenAlexW2537827126

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.