Evidence map›Paper›PMID 29512294›Full record

ArticleCancer medicine2018

Nomograms forecasting long-term overall and cancer-specific survival of patients with oral squamous cell carcinoma.

Fengze Wang, Hui Zhang, Jiao Wen, Jun Zhou, Yuan Liu, Bingkun Cheng, Xun Chen, Jianhua Wei

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancer medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
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

31 citing papers in PubMed.

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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

8 authors.

Fengze WangDepartment of stomatology, The 316th Hospital of Chinese People's Liberation Army, No. A2 Niangniangfu, Xiangshan Road, Beijing, Haidian District, China.
Hui ZhangState Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Engineering Research Center for Dental Materials and Advanced Manufacture, Department of Anesthesiology, School of Stomatology, The Fourth Military Medical University, Xi'an, China.
Jiao WenState Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Engineering Research Center for Dental Materials and Advanced Manufacture, Department of Anesthesiology, School of Stomatology, The Fourth Military Medical University, Xi'an, China.
Jun ZhouState Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi International Joint Research Center for Oral Diseases, Department of Oral Histology and Pathology, The Fourth Military Medical University, Xi'an, China.
Yuan LiuState Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi International Joint Research Center for Oral Diseases, Department of Oral Histology and Pathology, The Fourth Military Medical University, Xi'an, China.
Bingkun ChengDepartment of oral and maxillofacial surgery, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Xun ChenDepartment of stomatology, The 316th Hospital of Chinese People's Liberation Army, No. A2 Niangniangfu, Xiangshan Road, Beijing, Haidian District, China.
Jianhua WeiState Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, School of Stomatology, The Fourth Military Medical University, Xi'an, China.ORCID 0000-0001-6505-4008

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our aim was to establish a "nomogram" model to forecast the overall survival (OS) and cancer-specific survival (CSS) of oral squamous cell carcinoma (OSCC) patients. The clinicopathological data for the 10,533 OSCC patients were collected from the Surveillance, Epidemiology and End Results (SEER) database. We used a credible random split-sample method to divide 10,533 patients into two cohorts: 7046 patients in the modeling cohort and 3487 patients in the external validation cohort (split-ratio = 2:1). The median follow-up period was 32 months (1-119 months). We developed nomograms to predict 5- and 8-year OS and CSS of OSCC patients with a Cox proportional hazards model. The precision of the nomograms was assessed by the concordance index (C-index) and calibration curves through internal and external validation. The C-indexes of internal validation regarding 5- and 8-year OS and CSS were 0.762 and 0.783, respectively. In addition, the external validation's C-indexes were 0.772 and 0.800. Based on a large-sample analysis targeting the SEER database, we established two nomograms to predict long-term OS and CSS for OSCC patients successfully, which can assist surgeons in developing a more effective therapeutic regimen and conducting personalized prognostic evaluations.

Indexed as

NomogramsAdolescentAdultAgedAged, 80 and overCarcinoma, Squamous CellFemaleHumansMaleMiddle AgedMouth NeoplasmsNeoplasm GradingNeoplasm StagingSEER ProgramSurvival AnalysisYoung AdultCancer-specific survivalnomogramoral squamous cell carcinomaoverall survivalSEER

Identifiers

PMID29512294
PMCPMC5911576

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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.