Evidence map›Paper›PMID 27438568›Full record

ArticleClinics (Sao Paulo, Brazil)2016

Prognostic value of cystatin C in patients with nasopharyngeal carcinoma: a retrospective study of 1063 patients.

Jing Yuan, Miao Xu, Jing Li, Ning Li, Li-Zhen Chen, Qi-Sheng Feng, Yi-Xin Zeng

Open access · goldAbstract read
In one paragraph

Article in Clinics (Sao Paulo, Brazil), 2016. 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
0.8field-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

8 citing papers in PubMed, 16 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

7 authors at 4 institutions in 1 country.

Jing YuanSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Department of Experimental Research, Guangzhou, Guangdong, China.
Miao XuSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Department of Experimental Research, Guangzhou, Guangdong, China.
Jing LiThe First Affiliated Hospital of Zhengzhou University, Department of Medical Oncology, Zhengzhou, Henan, China.
Ning LiSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Department of Experimental Research, Guangzhou, Guangdong, China.
Li-Zhen ChenSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Department of Experimental Research, Guangzhou, Guangdong, China.
Qi-Sheng FengSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Department of Experimental Research, Guangzhou, Guangdong, China.
Yi-Xin ZengSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Department of Experimental Research, Guangzhou, Guangdong, China.
Sun Yat-sen University Cancer Center · CNState Key Laboratory of Oncology in South ChinaBeijing Hospital · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePatients with nasopharyngeal carcinoma experience highly variable outcomes despite receiving similar therapeutic regimens. Identifying biomarkers that predict survival and guide individualized therapy is urgently needed. Cystatin C has been explored as a valuable prognostic marker in several malignancies. We retrospectively assessed the relationship between serum cystatin C levels and nasopharyngeal carcinoma prognosis in a large cohort of nasopharyngeal carcinoma patients receiving long-term follow-up.

methodsA total of 1063 consecutive patients diagnosed with nasopharyngeal carcinoma from June 2006 to December 2010 were retrospectively analyzed. The serum levels of cystatin C at the time of diagnosis were collected. Receiver operating characteristic curve analysis, the Kaplan-Meier method and multivariate analyses using a Cox regression model were performed to assess the correlation of cystatin C levels with overall survival, progression-free survival, distant metastasis-free survival and loco-regional recurrence-free survival.

resultsThe median follow-up duration was 68.3 months. The optimal cut-off value of cystatin C levels for predicting death was 0.945 mg/L. Compared with the low cystatin C group, the high cystatin C group experienced significantly shorter overall survival (hazard ratio=1.47, p=0.050), progression-free survival (hazard ratio=1.65, p=0.004), distant metastasis-free survival (hazard ratio=2.37, p<0.001) and loco-regional recurrence-free survival (hazard ratio=2.40, p=0.002). Based on multivariate analysis, a high cystatin C level was identified as a significant and independent negative predictor of overall survival (hazard ratio=1.47, p=0.050), progression-free survival (hazard ratio=1.65, p=0.004), distant metastasis-free survival (hazard ratio=2.37, p<0.001), and loco-regional recurrence-free survival (hazard ratio=2.40, p=0.002).

conclusionCystatin C levels are associated with the prognosis of nasopharyngeal carcinoma patients. A high cystatin C level is an independent indicator of poor prognosis for nasopharyngeal carcinoma patients.

Indexed as

Biomarkers, TumorCarcinomaCystatin CDisease-Free SurvivalFemaleFollow-Up StudiesHumansMaleMiddle AgedMultivariate AnalysisNasopharyngeal CarcinomaNasopharyngeal NeoplasmsPrognosisRetrospective StudiesSurvival AnalysisTime FactorsBiomarkers, TumorCystatin C

Identifiers

PMID27438568
PMCPMC4930663
OpenAlexW2484276203

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LicenceCC BY
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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.