Evidence map›Paper›PMID 36092957›Full record

ArticleDisease markers2022

The Predicting Role of Serum TSGF and sIL-2R for the Lymph Node Metastasis of Papillary Thyroid Carcinoma.

Xiaoqin Xu, Weigang Wang, Ting Sun, Baoguo Tian, Lili Du, Jiexian Jing

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 5 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

6 authors at 1 institution in 1 country.

Xiaoqin XuDepartment of Etiology, Shanxi Province Cancer Hospital, Taiyuan, Shanxi, China.
Weigang WangDepartment of Etiology, Shanxi Province Cancer Hospital, Taiyuan, Shanxi, China.
Ting SunDepartment of Etiology, Shanxi Province Cancer Hospital, Taiyuan, Shanxi, China.
Baoguo TianDepartment of Etiology, Shanxi Province Cancer Hospital, Taiyuan, Shanxi, China.
Lili DuDepartment of Etiology, Shanxi Province Cancer Hospital, Taiyuan, Shanxi, China.
Jiexian JingDepartment of Etiology, Shanxi Province Cancer Hospital, Taiyuan, Shanxi, China.ORCID https://orcid.org/0000-0003-0937-7544
Shanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the clinical utility of tumor-specific growth factor (TSGF) and the soluble interleukin-2 (IL-2) receptor (sIL-2R) as immune-related factors for predicting lymph node metastases (LNM) of papillary thyroid carcinoma (PTC). Methods: A total of 206 patients with PTC subjected to curative surgery were enrolled. All patients had complete medical records. Serum levels of TSGF were detected using Automatic Biochemistry Analyzer and the serum sIL-2R concentration was detected by enzyme-linked immunosorbent assay (ELISA). Furthermore, we analyzed the relationship between the two indicators and the clinicopathological characteristics and assessed their effect on lymphatic metastasis in patients with PTC by logistic regression analysis. Results: Receiver operating characteristic (ROC) analysis revealed that the determined cut-off value of serum TSGF and sIL-2R was 63.35 U/mL and 507 U/mL, respectively. Serum TSGF was associated with focality ( Conclusion: Serum TSGF levels were identified as an independent factor for LNM in patients with PTC.

Indexed as

Receptors, Interleukin-2Thyroid NeoplasmsAntigens, NeoplasmHumansIntercellular Signaling Peptides and ProteinsLymphatic MetastasisMiddle AgedNeoplasm ProteinsThyroid Cancer, PapillaryAntigens, NeoplasmIntercellular Signaling Peptides and ProteinsNeoplasm ProteinsReceptors, Interleukin-2TSGF protein, human

Identifiers

PMID36092957
PMCPMC9463009
OpenAlexW4294295698

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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.