Epidemiological Analysis and Prognosis of Conjunctival Cancer in the Past Twenty Years: A Population-Based Retrospective Study Using SEER Data

Joint Authors

Wang, Li-qiang
Huang, Yi-fei
Diao, Yumei
Li, Xiaoqi
Huo, Yan
Li, Zongyuan
Yang, Qinghua

Source

BioMed Research International

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-07-08

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Medicine

Abstract EN

Epidemiological studies of malignant primary conjunctival tumors are rare.

We extracted data pertaining to primary site-labeled conjunctival cancer patients present within the Surveillance, Epidemiology, and End Results (SEER) database from 1992 to 2001 and from 2002 to 2011.

The Kaplan-Meier approach was used for comparisons of overall survival (OS) between patients, while OS-related risk factors were identified via a Cox proportional hazards regression approach.

We then constructed a nomogram that could be used to predict the 3- and 5-year OS, with the accuracy of this predictive model based on receiver operating characteristic (ROC) curve.

We observed a significant reduction in age-adjusted incidence of conjunctival cancer in the 50-69-year-old age group of the 2002-2011 cohort relative to the 1992-2001 cohort (APC, P<0.05).

There were no significant differences in OS between the 1992-2001 and 2002-2011 conjunctival cancer patient cohorts.

Being ≥30 years old (P<0.05), male (P<0.001), single (P<0.05), divorced (P<0.001), or widowed (P<0.001) were all associated with an increased OS-related risk of primary conjunctival cancer (1992-2011).

Our nomogram was able to accurately predict 3- and 5-year OS in conjunctival cancer patients.

In verification mode, the 3-year area under the curve (AUC) was 0.697 and the 5-year AUC was 0.752.

We found that age, sex, and marital status were all associated with primary conjunctival cancer survival.

Our results further suggest that conjunctival cancer incidence and survival rates have been relatively stable over the last two decades, and using these data, we were able to generate a satisfactory risk prediction model for this disease.

American Psychological Association (APA)

Diao, Yumei& Li, Xiaoqi& Huo, Yan& Li, Zongyuan& Yang, Qinghua& Huang, Yi-fei…[et al.]. 2020. Epidemiological Analysis and Prognosis of Conjunctival Cancer in the Past Twenty Years: A Population-Based Retrospective Study Using SEER Data. BioMed Research International،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1131451

Modern Language Association (MLA)

Diao, Yumei…[et al.]. Epidemiological Analysis and Prognosis of Conjunctival Cancer in the Past Twenty Years: A Population-Based Retrospective Study Using SEER Data. BioMed Research International No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1131451

American Medical Association (AMA)

Diao, Yumei& Li, Xiaoqi& Huo, Yan& Li, Zongyuan& Yang, Qinghua& Huang, Yi-fei…[et al.]. Epidemiological Analysis and Prognosis of Conjunctival Cancer in the Past Twenty Years: A Population-Based Retrospective Study Using SEER Data. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1131451

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1131451