Evidence map›Paper›PMID 28032596›Full record

ArticleOncotarget2017

Prospective study on factors affecting the prognosis of oral cancer in a Chinese population.

Fengqiong Liu, Fa Chen, Jiangfeng Huang, Lingjun Yan, Fangping Liu, Junfeng Wu, Yu Qiu, Xiaoyan Zheng, Rongzhao Zhang, Lisong Lin and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

16 citing papers in PubMed, 32 citations in OpenAlex.

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  12. Death of 43 Indonesian women with ovarian cancer: A case series.International journal of surgery case reports · 2021
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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

11 authors at 2 institutions in 1 country.

Fengqiong LiuDepartment of Epidemiology and Health Statistic, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fujian, China.
Fa ChenDepartment of Epidemiology and Health Statistic, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fujian, China.
Jiangfeng HuangDepartment of Epidemiology and Health Statistic, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fujian, China.
Lingjun YanDepartment of Epidemiology and Health Statistic, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fujian, China.
Fangping LiuDepartment of Epidemiology and Health Statistic, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fujian, China.
Junfeng WuDepartment of Epidemiology and Health Statistic, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fujian, China.
Yu QiuDepartment of Stomatology, The First Affiliated Hospital of Fujian Medical University, Fujian, China.
Xiaoyan ZhengDepartment of Stomatology, The First Affiliated Hospital of Fujian Medical University, Fujian, China.
Rongzhao ZhangDepartment of Epidemiology and Health Statistic, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fujian, China.
Lisong LinDepartment of Stomatology, The First Affiliated Hospital of Fujian Medical University, Fujian, China.
Baochang HeDepartment of Epidemiology and Health Statistic, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fujian, China.
Fujian Medical University · CNFirst Affiliated Hospital of Fujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study was performed to identify the factors affecting prognosis of oral cancer patients. 1240 pathologically confirmed oral cancer patients were included. The sociodemographic and clinical characteristics of all patients were collected. Univariate and multivariate Cox proportional hazards models were used to assess potential prognostic factors for survival. 1240 oral cancer patients were followed up for 49235.00 person months, and the 5-year overall survival rate was 64.38%. Both univariate and multivariate Cox regression analysis indicated that Body Mass Index < 18.5 kg/m2 (vs 18.5-23.9 kg/m2), age ≥ 55 years (vs < 55 years), clinical stages of II-IV (vs stage I), and poor differentiation (vs well differentiation) were associated with worse survival of oral cancer patients. While surgery (vs non-surgery) and origin of urban area (vs rural area) were protective factors. However, no significant association was found between adjuvant therapy and survival in oral cancer patients.

Indexed as

AgedChinaFemaleHumansMaleMiddle AgedMouth NeoplasmsNeoplasm StagingPrognosisProspective StudiesSurvival AnalysisSurvival RateBMIchemotherapyoral cancerprognosisradiotherapy

Identifiers

PMID28032596
PMCPMC5354837
OpenAlexW2560735350

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.