Evidence map›Paper›PMID 30594915›Full record

ArticleCancer biomarkers : section A of Disease markers2019

Predictive significance of serum dipeptidyl peptidase-IV in papillary thyroid carcinoma.

Nan Zhang, Xiaoqiang Cong, Dan Zhou, Liang Guo, Congwang Yuan, Dahai Xu, Chang Su

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 46% of its field
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

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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 at 4 institutions in 1 country.

Nan ZhangDepartment of Emergency, The First Hospital of Jilin University, Changchun, Jilin 130021, China.
Xiaoqiang CongDepartment of Cardiology, The First Hospital of Jilin University, Changchun, Jilin 130021, China.
Dan ZhouDepartment of Pediatrics, The Second Hospital of Jilin University, Changchun, Jilin 130041, China.
Liang GuoDepartment of Pathology, The First Hospital of Jilin University, Changchun, Jilin 130021, China.
Congwang YuanDepartment of Pain, Yancheng First People's Hospital, Yancheng, Jiangsu 224000, China.
Dahai XuDepartment of Emergency, The First Hospital of Jilin University, Changchun, Jilin 130021, China.
Chang SuDepartment of Thyroid Surgery, The First Hospital of Jilin University, Changchun, Jilin 130021, China.
Jilin University · CNFirst Hospital of Jilin University · CNNantong University · CNSecond Affiliated Hospital of Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe significance of serum dipeptidyl peptidase-IV (DPP-IV) in papillary thyroid carcinoma (PTC) has not been elucidated.

objectiveThis study aimed to assess the role of serum DPP-IV in the carcinogenesis and prognosis of PTC.

methodsThe serum DPP-IV concentration was measured in 171 male patients with PTC, 81 male patients with a benign thyroid nodule (BTN), and 52 male healthy controls (HCs). Multivariate logistic regression and Cox regression analyses were performed to evaluate the correlations between variables. Receiver operating characteristic (ROC) curves were used to calculate the diagnosis accuracy.

resultsThe ROC curve indicated a good performance of DPP-IV for discriminating PTC from BTN, with an area under the curve (AUC) of 0.881 (95% CI, 0.840-0.922). Serum DPP-IV demonstrated a modest performance in predicting nonstructurally persistent disease/recurrent disease (NSPRD) survival, with an AUC of 0.778 (95% CI, 0.635-0.922). A serum DPP-IV level ⩾ 250 nkat/L (HR, 6.529; 95% CI, 2.090-20.398; P= 0.001) and an advanced tumor, lymph node, metastasis (TNM) stage (HR, 4.677; 95% CI, 1.498-14.605; P= 0.008) were found to be independent factors for predicting SPRD. PTC patients with a DPP-IV level ⩾ 250 nkat/L had a worse outcome than those with a DPP-IV level < 250 nkat/L (P< 0.001).

conclusionsSerum DPP-IV may be a predictive biomarker for PTC diagnosis and prognosis in Chinese male patients.

Indexed as

Biomarkers, TumorAdultAgedCase-Control StudiesDipeptidyl Peptidase 4FemaleHumansMaleMiddle AgedNeoplasm MetastasisNeoplasm StagingOdds RatioPrognosisProportional Hazards ModelsRisk FactorsROC CurveBiomarkers, TumorDipeptidyl Peptidase 4CD26Dipeptidyl peptidase-IVpapillary thyroid carcinomarecurrent diseasestructurally persistent

Identifiers

PMID30594915
PMCPMC13082504
OpenAlexW2906720986

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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.