Evidence map›Paper›PMID 34961504›Full record

ArticleBMC oral health2021

Nomogram based on clinical characteristics and serological inflammation markers to predict overall survival of oral tongue squamous cell carcinoma patient after surgery.

Yi-Wei Lin, Wei-Piao Kang, Bin-Liang Huang, Zi-Han Qiu, Lai-Feng Wei, Biao Zhang, Tian-Yan Ding, Yun Luo, Can-Tong Liu, Ling-Yu Chu and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC oral health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
1.5field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  6. Review
  7. Observational
  8. Review
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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

13 authors at 4 institutions in 1 country.

Yi-Wei Lin *Department of Clinical Laboratory Medicine, The Cancer Hospital of Shantou University Medical College, Shantou, 515041, Guangdong, People's Republic of China.
Wei-Piao Kang *Department of Otolaryngology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, 515041, Guangdong, People's Republic of China.
Bin-Liang HuangDepartment of Clinical Laboratory Medicine, The Cancer Hospital of Shantou University Medical College, Shantou, 515041, Guangdong, People's Republic of China.
Zi-Han QiuDepartment of Otolaryngology-Head and Neck Surgery, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, Guangdong, People's Republic of China.
Lai-Feng WeiDepartment of Clinical Laboratory Medicine, The Cancer Hospital of Shantou University Medical College, Shantou, 515041, Guangdong, People's Republic of China.
Biao ZhangDepartment of Clinical Laboratory Medicine, The Cancer Hospital of Shantou University Medical College, Shantou, 515041, Guangdong, People's Republic of China.
Tian-Yan DingDepartment of Clinical Laboratory Medicine, The Cancer Hospital of Shantou University Medical College, Shantou, 515041, Guangdong, People's Republic of China.
Yun LuoDepartment of Clinical Laboratory Medicine, The Cancer Hospital of Shantou University Medical College, Shantou, 515041, Guangdong, People's Republic of China.
Can-Tong LiuDepartment of Clinical Laboratory Medicine, The Cancer Hospital of Shantou University Medical College, Shantou, 515041, Guangdong, People's Republic of China.
Ling-Yu ChuDepartment of Clinical Laboratory Medicine, The Cancer Hospital of Shantou University Medical College, Shantou, 515041, Guangdong, People's Republic of China.
Hai-Peng GuoDepartment of Head and Neck Surgery, The Cancer Hospital of Shantou University Medical College, Shantou, 515041, Guangdong, People's Republic of China. ghaipeng@sina.cn.
Yi-Wei XuDepartment of Clinical Laboratory Medicine, The Cancer Hospital of Shantou University Medical College, Shantou, 515041, Guangdong, People's Republic of China. yiwei512@126.com.
Yu-Hui PengDepartment of Clinical Laboratory Medicine, The Cancer Hospital of Shantou University Medical College, Shantou, 515041, Guangdong, People's Republic of China. pengyuhui666@163.com.
Shantou University · CNCancer Hospital of Shantou University Medical College · CNFirst Affiliated Hospital of Shantou University Medical College · CNShantou University Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOral tongue squamous cell carcinoma (OTSCC) is a prevalent malignant disease that is characterized by high rates of metastasis and postoperative recurrence. The aim of this study was to establish a nomogram to predict the outcome of OTSCC patients after surgery.

methodsWe retrospectively analyzed 169 OTSCC patients who underwent treatments in the Cancer Hospital of Shantou University Medical College from 2008 to 2019. The Cox regression analysis was performed to determine the independent prognostic factors associated with patient's overall survival (OS). A nomogram based on these prognostic factors was established and internally validated using a bootstrap resampling method.

resultsMultivariate Cox regression analysis revealed the independent prognostic factors for OS were TNM stage, age, lymphocyte-to-monocyte ratio and immunoglobulin G, all of which were identified to create the nomogram. The Akaike Information Criterion and Bayesian Information Criterion of the nomogram were lower than those of TNM stage (292.222 vs. 305.480; 298.444 vs. 307.036, respectively), indicating a better goodness-of-fit of the nomogram for predicting OS. The bootstrap-corrected of concordance index (C-index) of nomogram was 0.784 (95% CI 0.708-0.860), which was higher than that of TNM stage (0.685, 95% CI 0.603-0.767, P = 0.017). The results of time-dependent C-index for OS also showed that the nomogram had a better discriminative ability than that of TNM stage. The calibration curves of the nomogram showed good consistency between the probabilities and observed values. The decision curve analysis also revealed the potential clinical usefulness of the nomogram. Based on the cutoff value obtained from the nomogram, the proposed high-risk group had poorer OS than low-risk group (P < 0.0001).

conclusionsThe nomogram based on clinical characteristics and serological inflammation markers might be useful for outcome prediction of OTSCC patient.

Indexed as

Carcinoma, Squamous CellHead and Neck NeoplasmsTongue NeoplasmsBayes TheoremHumansInflammationNomogramsPrognosisRetrospective StudiesSquamous Cell Carcinoma of Head and NeckInflammation markersOral tongue squamous cell carcinomaPretreatment nomogramPrognosisSurgery

Identifiers

PMID34961504
PMCPMC8711158
OpenAlexW4200379885

What OpenQuestion holds

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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.