Nomograms for Predicting Cancer-Specific and Overall Survival Among Patients With Endometrial Carcinoma: A SEER Based Study
This study aimed to develop a detailed survival prognostication tool based on various clinical indicators of patients because of the lack of comprehensive prognostic tool. Data regarding 63,729 patients with endometrial carcinoma were extracted from the SEER database between 1988 and 2015. Univariat...
Saved in:
| Published in | Frontiers in oncology Vol. 10; p. 269 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Switzerland
Frontiers Media S.A
19.03.2020
|
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | This study aimed to develop a detailed survival prognostication tool based on various clinical indicators of patients because of the lack of comprehensive prognostic tool.
Data regarding 63,729 patients with endometrial carcinoma were extracted from the SEER database between 1988 and 2015. Univariate and multivariate Cox regression analyses were used to screen for meaningful independent prognostic factors. These factors were used to construct a nomogram model, a survival prognostication tool for 3- and 5-year tumor-specific survival and overall survival among patients with endometrial carcinoma.
A total of 63,729 patients were randomly assigned to the training group (
= 42,486) and the test group (
= 21,243). Age, race, year of diagnosis, histologic grade, clinical stage, and tumor size were assessed as predictors of cancer-specific survival (CSS) and univariate and multivariate Cox regression analyses were used to identify independent prognostic factors (
< 0.05). Finally, a nomogram was constructed, the predicted C-indices for cancer-specific survival and overall survival training groups were 0.859 (95% confidence interval 0.847-0.871) and 0.782 (95% confidence interval 0.772-0.792).
Nomograms constructed using various clinical indicators can provide better and more accurate predictions for patients with endometrial carcinoma. Those nomograms could help identify patients with high-risk endometrial carcinoma. |
|---|---|
| AbstractList | Background: This study aimed to develop a detailed survival prognostication tool based on various clinical indicators of patients because of the lack of comprehensive prognostic tool.Methods: Data regarding 63,729 patients with endometrial carcinoma were extracted from the SEER database between 1988 and 2015. Univariate and multivariate Cox regression analyses were used to screen for meaningful independent prognostic factors. These factors were used to construct a nomogram model, a survival prognostication tool for 3- and 5-year tumor-specific survival and overall survival among patients with endometrial carcinoma.Results: A total of 63,729 patients were randomly assigned to the training group (n = 42,486) and the test group (n = 21,243). Age, race, year of diagnosis, histologic grade, clinical stage, and tumor size were assessed as predictors of cancer-specific survival (CSS) and univariate and multivariate Cox regression analyses were used to identify independent prognostic factors (P < 0.05). Finally, a nomogram was constructed, the predicted C-indices for cancer-specific survival and overall survival training groups were 0.859 (95% confidence interval 0.847–0.871) and 0.782 (95% confidence interval 0.772–0.792).Conclusions: Nomograms constructed using various clinical indicators can provide better and more accurate predictions for patients with endometrial carcinoma. Those nomograms could help identify patients with high-risk endometrial carcinoma. Background: This study aimed to develop a detailed survival prognostication tool based on various clinical indicators of patients because of the lack of comprehensive prognostic tool. Methods: Data regarding 63,729 patients with endometrial carcinoma were extracted from the SEER database between 1988 and 2015. Univariate and multivariate Cox regression analyses were used to screen for meaningful independent prognostic factors. These factors were used to construct a nomogram model, a survival prognostication tool for 3- and 5-year tumor-specific survival and overall survival among patients with endometrial carcinoma. Results: A total of 63,729 patients were randomly assigned to the training group ( n = 42,486) and the test group ( n = 21,243). Age, race, year of diagnosis, histologic grade, clinical stage, and tumor size were assessed as predictors of cancer-specific survival (CSS) and univariate and multivariate Cox regression analyses were used to identify independent prognostic factors ( P < 0.05). Finally, a nomogram was constructed, the predicted C-indices for cancer-specific survival and overall survival training groups were 0.859 (95% confidence interval 0.847–0.871) and 0.782 (95% confidence interval 0.772–0.792). Conclusions: Nomograms constructed using various clinical indicators can provide better and more accurate predictions for patients with endometrial carcinoma. Those nomograms could help identify patients with high-risk endometrial carcinoma. Background: This study aimed to develop a detailed survival prognostication tool based on various clinical indicators of patients because of the lack of comprehensive prognostic tool. Methods: Data regarding 63,729 patients with endometrial carcinoma were extracted from the SEER database between 1988 and 2015. Univariate and multivariate Cox regression analyses were used to screen for meaningful independent prognostic factors. These factors were used to construct a nomogram model, a survival prognostication tool for 3- and 5-year tumor-specific survival and overall survival among patients with endometrial carcinoma. Results: A total of 63,729 patients were randomly assigned to the training group (n = 42,486) and the test group (n = 21,243). Age, race, year of diagnosis, histologic grade, clinical stage, and tumor size were assessed as predictors of cancer-specific survival (CSS) and univariate and multivariate Cox regression analyses were used to identify independent prognostic factors (P < 0.05). Finally, a nomogram was constructed, the predicted C-indices for cancer-specific survival and overall survival training groups were 0.859 (95% confidence interval 0.847-0.871) and 0.782 (95% confidence interval 0.772-0.792). Conclusions: Nomograms constructed using various clinical indicators can provide better and more accurate predictions for patients with endometrial carcinoma. Those nomograms could help identify patients with high-risk endometrial carcinoma.Background: This study aimed to develop a detailed survival prognostication tool based on various clinical indicators of patients because of the lack of comprehensive prognostic tool. Methods: Data regarding 63,729 patients with endometrial carcinoma were extracted from the SEER database between 1988 and 2015. Univariate and multivariate Cox regression analyses were used to screen for meaningful independent prognostic factors. These factors were used to construct a nomogram model, a survival prognostication tool for 3- and 5-year tumor-specific survival and overall survival among patients with endometrial carcinoma. Results: A total of 63,729 patients were randomly assigned to the training group (n = 42,486) and the test group (n = 21,243). Age, race, year of diagnosis, histologic grade, clinical stage, and tumor size were assessed as predictors of cancer-specific survival (CSS) and univariate and multivariate Cox regression analyses were used to identify independent prognostic factors (P < 0.05). Finally, a nomogram was constructed, the predicted C-indices for cancer-specific survival and overall survival training groups were 0.859 (95% confidence interval 0.847-0.871) and 0.782 (95% confidence interval 0.772-0.792). Conclusions: Nomograms constructed using various clinical indicators can provide better and more accurate predictions for patients with endometrial carcinoma. Those nomograms could help identify patients with high-risk endometrial carcinoma. This study aimed to develop a detailed survival prognostication tool based on various clinical indicators of patients because of the lack of comprehensive prognostic tool. Data regarding 63,729 patients with endometrial carcinoma were extracted from the SEER database between 1988 and 2015. Univariate and multivariate Cox regression analyses were used to screen for meaningful independent prognostic factors. These factors were used to construct a nomogram model, a survival prognostication tool for 3- and 5-year tumor-specific survival and overall survival among patients with endometrial carcinoma. A total of 63,729 patients were randomly assigned to the training group ( = 42,486) and the test group ( = 21,243). Age, race, year of diagnosis, histologic grade, clinical stage, and tumor size were assessed as predictors of cancer-specific survival (CSS) and univariate and multivariate Cox regression analyses were used to identify independent prognostic factors ( < 0.05). Finally, a nomogram was constructed, the predicted C-indices for cancer-specific survival and overall survival training groups were 0.859 (95% confidence interval 0.847-0.871) and 0.782 (95% confidence interval 0.772-0.792). Nomograms constructed using various clinical indicators can provide better and more accurate predictions for patients with endometrial carcinoma. Those nomograms could help identify patients with high-risk endometrial carcinoma. |
| Author | Zhu, Lingping Sun, Xiaoming Bai, Wenpei |
| AuthorAffiliation | 1 Department of General Practice, Zhongshan Hospital, Fudan University , Shanghai , China 2 Health Development Research Centre of Pudong Institute for Health Development , Pudong , China 3 Department of Gynecology, Beijing Shijitan Hospital , Beijing , China |
| AuthorAffiliation_xml | – name: 1 Department of General Practice, Zhongshan Hospital, Fudan University , Shanghai , China – name: 3 Department of Gynecology, Beijing Shijitan Hospital , Beijing , China – name: 2 Health Development Research Centre of Pudong Institute for Health Development , Pudong , China |
| Author_xml | – sequence: 1 givenname: Lingping surname: Zhu fullname: Zhu, Lingping – sequence: 2 givenname: Xiaoming surname: Sun fullname: Sun, Xiaoming – sequence: 3 givenname: Wenpei surname: Bai fullname: Bai, Wenpei |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32266128$$D View this record in MEDLINE/PubMed |
| BookMark | eNp1kkFvEzEQhVeoiJbSMzfkI5ekXnvXa3NAKlGAShWtCAhu1sSeTV3t2sF2IlX8eZymVC0SvtiaefPNyPNeVgc-eKyq1zWdci7VaR-8mTLK6JRSJtSz6ogx3kxUw38ePHofVicp3dByREtryl9Uh5wxIWomj6rfX8IYVhHGRPoQyVVE60x2fkVm4A3GyWKNxvXOEPCWXG4xwjCQxSZu3RYGcjaGIr2C7NDnRH64fE3m3oYRc3QlP4NonA8jvCNnZDGffyUfIKEli7yxt6-q5z0MCU_u7-Pq-8f5t9nnycXlp_PZ2cXENK3KE2WXoCjwpaitQckZ5UaZrm8YiraDulG8k9wqxaVktelEg7alneVtjZJKy4-r8z3XBrjR6-hGiLc6gNN3gRBXGmJ2ZkC9BIHKILTYYwO8laxvC1lwy-olBVVY7_es9WY5YpnH5_IjT6BPM95d61XY6o4q0XQ7wNt7QAy_NpiyHl0yOAzgMWySZlx2QtFWyCJ987jXQ5O_2yuC073AxJBSxP5BUlO9s4jeWUTvLKLvLFIq2n8qjMtle2E3rBv-W_cH0E3Bcw |
| CitedBy_id | crossref_primary_10_1186_s12885_022_09180_5 crossref_primary_10_1002_ijgo_15313 crossref_primary_10_1186_s12885_023_11682_9 crossref_primary_10_3389_fonc_2021_694718 crossref_primary_10_1080_21655979_2021_1922247 crossref_primary_10_3389_fsurg_2022_855314 crossref_primary_10_1186_s12885_022_09324_7 crossref_primary_10_1007_s00432_023_05174_3 crossref_primary_10_1016_j_oooo_2022_01_004 crossref_primary_10_3802_jgo_2023_34_e69 crossref_primary_10_1097_BRS_0000000000004022 crossref_primary_10_3390_medicina58040548 crossref_primary_10_3389_fonc_2020_620240 crossref_primary_10_3389_fonc_2021_641962 crossref_primary_10_1111_jog_16214 crossref_primary_10_1186_s12920_023_01463_5 crossref_primary_10_3390_biology12070982 crossref_primary_10_3390_diagnostics13010044 crossref_primary_10_1371_journal_pone_0268221 crossref_primary_10_3802_jgo_2022_33_e23 crossref_primary_10_2147_RMHP_S327788 crossref_primary_10_1177_20406207241290886 crossref_primary_10_1002_ijgo_13722 crossref_primary_10_1007_s00384_021_03992_w crossref_primary_10_1177_18632521241229963 crossref_primary_10_1136_bmjopen_2022_070893 crossref_primary_10_1186_s43046_022_00135_2 crossref_primary_10_2147_RMHP_S481880 crossref_primary_10_62347_EUZY2377 crossref_primary_10_3389_fonc_2020_608548 |
| Cites_doi | 10.1158/1078-0432.CCR-04-0713 10.1002/jcb.29164 10.3802/jgo.2020.31.e27 10.1097/AOG.0b013e3181f39849 10.3322/caac.21332 10.1016/S0020-7292(06)60029-5 10.1097/00005650-200208001-00002 10.1016/0090-8258(91)90268-A 10.1016/j.ijgo.2009.02.012 10.1016/j.ygyno.2009.11.027 10.1111/j.1525-1438.2007.00897.x 10.3802/jgo.2019.30.e84 10.1002/ssu.2980100107 |
| ContentType | Journal Article |
| Copyright | Copyright © 2020 Zhu, Sun and Bai. Copyright © 2020 Zhu, Sun and Bai. 2020 Zhu, Sun and Bai |
| Copyright_xml | – notice: Copyright © 2020 Zhu, Sun and Bai. – notice: Copyright © 2020 Zhu, Sun and Bai. 2020 Zhu, Sun and Bai |
| DBID | AAYXX CITATION NPM 7X8 5PM DOA |
| DOI | 10.3389/fonc.2020.00269 |
| DatabaseName | CrossRef PubMed MEDLINE - Academic PubMed Central (Full Participant titles) Directory of Open Access Journals - May need to register for free articles |
| DatabaseTitle | CrossRef PubMed MEDLINE - Academic |
| DatabaseTitleList | MEDLINE - Academic PubMed |
| Database_xml | – sequence: 1 dbid: DOA name: Directory of Open Access Journals (DOAJ) url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Medicine |
| EISSN | 2234-943X |
| ExternalDocumentID | oai_doaj_org_article_ba6e9cea5efe4a3582f5d9963d21b0a9 PMC7096479 32266128 10_3389_fonc_2020_00269 |
| Genre | Journal Article |
| GroupedDBID | 53G 5VS 9T4 AAFWJ AAKDD AAYXX ACGFO ACGFS ACXDI ADBBV ADRAZ AFPKN ALMA_UNASSIGNED_HOLDINGS AOIJS BAWUL BCNDV CITATION DIK EBS EJD EMOBN GROUPED_DOAJ GX1 HYE KQ8 M48 M~E OK1 PGMZT RNS RPM IPNFZ NPM RIG 7X8 5PM |
| ID | FETCH-LOGICAL-c459t-9dba90a3b61dce83203c9c7f42e657a1493783d9938821c764ed507d351e808d3 |
| IEDL.DBID | M48 |
| ISSN | 2234-943X |
| IngestDate | Wed Aug 27 01:21:37 EDT 2025 Thu Aug 21 18:17:45 EDT 2025 Fri Jul 11 05:14:04 EDT 2025 Thu Apr 03 06:55:54 EDT 2025 Tue Jul 01 00:43:51 EDT 2025 Thu Apr 24 22:51:13 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | overall survival cancer-specific survival endometrial carcinoma medical technology progress nomograms |
| Language | English |
| License | Copyright © 2020 Zhu, Sun and Bai. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c459t-9dba90a3b61dce83203c9c7f42e657a1493783d9938821c764ed507d351e808d3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Edited by: Assia Konsoulova, Complex Oncological Center, Bulgaria This article was submitted to Women's Cancer, a section of the journal Frontiers in Oncology Reviewed by: Angel Danchev Yordanov, Medical University Pleven, Bulgaria; Simona Ruxandra Volovat, Grigore T. Popa University of Medicine and Pharmacy, Romania |
| OpenAccessLink | http://journals.scholarsportal.info/openUrl.xqy?doi=10.3389/fonc.2020.00269 |
| PMID | 32266128 |
| PQID | 2387690568 |
| PQPubID | 23479 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_ba6e9cea5efe4a3582f5d9963d21b0a9 pubmedcentral_primary_oai_pubmedcentral_nih_gov_7096479 proquest_miscellaneous_2387690568 pubmed_primary_32266128 crossref_primary_10_3389_fonc_2020_00269 crossref_citationtrail_10_3389_fonc_2020_00269 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2020-03-19 |
| PublicationDateYYYYMMDD | 2020-03-19 |
| PublicationDate_xml | – month: 03 year: 2020 text: 2020-03-19 day: 19 |
| PublicationDecade | 2020 |
| PublicationPlace | Switzerland |
| PublicationPlace_xml | – name: Switzerland |
| PublicationTitle | Frontiers in oncology |
| PublicationTitleAlternate | Front Oncol |
| PublicationYear | 2020 |
| Publisher | Frontiers Media S.A |
| Publisher_xml | – name: Frontiers Media S.A |
| References | Dai (B13) 2019; 31 Camp (B6) 2004; 10 Siegel (B1) 2015; 66 Lewin (B2) 2010; 116 Abu-Rustum (B11) 2010; 116 Ouyang (B4) 2019; 120 Beller (B3) 2006; 95 Decruze (B10) 2007; 17 Pecorelli (B7) 2009; 105 Kosary (B12) 1994; 10 B8 Warren (B5) 2002; 40 Ørtoft (B14) 2019; 30 Dunton (B9) 1991; 41 |
| References_xml | – ident: B8 – volume: 10 start-page: 7252 year: 2004 ident: B6 article-title: X-Tile: a new bio-informatics tool for biomarker assessment and outcome-based cut-point optimization publication-title: Clin Cancer Res. doi: 10.1158/1078-0432.CCR-04-0713 – volume: 120 start-page: 18465 year: 2019 ident: B4 article-title: A 7-ncRNA signature predict prognosis of Uterine corpus endometrial carcinoma publication-title: J Cell Biochem. doi: 10.1002/jcb.29164 – volume: 31 start-page: e27 year: 2019 ident: B13 article-title: Prognostic significance of lymphovascular space invasion in patients with endometrioid endometrial cancer: a retrospective study from a single center publication-title: J Gynecol Oncol. doi: 10.3802/jgo.2020.31.e27 – volume: 116 start-page: 1141 year: 2010 ident: B2 article-title: Comparative performance of the 2009 international federation of gynecology and obstetrics' staging system for uterine corpus cancer publication-title: Obstet Gynecol. doi: 10.1097/AOG.0b013e3181f39849 – volume: 66 start-page: 7 year: 2015 ident: B1 article-title: Cancer statistics, 2016 publication-title: CA Cancer J Clin. doi: 10.3322/caac.21332 – volume: 95 start-page: 161 year: 2006 ident: B3 article-title: Carcinoma of the vagina. FIGO 26th annual report on the results of treatment in gynecological cancer publication-title: Int J Gynaecol Obstet. doi: 10.1016/S0020-7292(06)60029-5 – volume: 40 start-page: IV-3 year: 2002 ident: B5 article-title: Overview of the SEER-Medicare data: content, research applications, and generalizability to the United States elderly population publication-title: Med Care doi: 10.1097/00005650-200208001-00002 – volume: 41 start-page: 113 year: 1991 ident: B9 article-title: Treatment of advanced and recurrent endometrial cancer with cisplatin, doxorubicin, and cyclophosphamide publication-title: Gynecol Oncol. doi: 10.1016/0090-8258(91)90268-A – volume: 105 start-page: 103 year: 2009 ident: B7 article-title: Revised FIGO staging for carcinoma of the vulva, cervix, and endometrium publication-title: Int J Gynecol Obstet. doi: 10.1016/j.ijgo.2009.02.012 – volume: 116 start-page: 399 year: 2010 ident: B11 article-title: A nomogram for predicting overall survival of women with endometrial cancer following primary therapy: toward improving individualized cancer care publication-title: Gynecol Oncol. doi: 10.1016/j.ygyno.2009.11.027 – volume: 17 start-page: 964 year: 2007 ident: B10 article-title: Hormone therapy in advanced and recurrent endometrial cancer: a systematic review publication-title: Int J Gynecol Cancer. doi: 10.1111/j.1525-1438.2007.00897.x – volume: 30 start-page: e84 year: 2019 ident: B14 article-title: Lymph-vascular space invasion (LVSI) as a strong and independent predictor for non-locoregional recurrences in endometrial cancer: a danish gynecological cancer group study publication-title: J Gynecol Oncol. doi: 10.3802/jgo.2019.30.e84 – volume: 10 start-page: 31 year: 1994 ident: B12 article-title: Figo stage, histology, histologic grade, age and race as prognostic factors in determining survival for cancers of the female gynecological system: an analysis of 1973-87 SEER cases of cancers of the endometrium, cervix, ovary, vulva, and vagina publication-title: Semin Surg Oncol. doi: 10.1002/ssu.2980100107 |
| SSID | ssj0000650103 |
| Score | 2.3701317 |
| Snippet | This study aimed to develop a detailed survival prognostication tool based on various clinical indicators of patients because of the lack of comprehensive... Background: This study aimed to develop a detailed survival prognostication tool based on various clinical indicators of patients because of the lack of... Background: This study aimed to develop a detailed survival prognostication tool based on various clinical indicators of patients because of the lack of... |
| SourceID | doaj pubmedcentral proquest pubmed crossref |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source |
| StartPage | 269 |
| SubjectTerms | cancer-specific survival endometrial carcinoma medical technology progress nomograms Oncology overall survival |
| SummonAdditionalLinks | – databaseName: Directory of Open Access Journals - May need to register for free articles dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwELZQD4gLojyXlspIHLiExnZsx9zaaqsKqaWiVPRm-RV1pW6C9lGp4s8z46Sr3QrEhWvs2M7M2P4mHn9DyAfnVOJR-0IrhceMMhUuxFQwH52Jmte1xLvDp2fq5LL6ciWv1lJ9YUxYTw_cC27fQ2MmJCdTkyqH9zobGQGki8iZL12-ugd73poz1a_BEhMY9Fw-4IWZ_aZrkbGQYyQXx_DmtW0os_X_CWI-jJRc23qOn5GnA2akB_1Yt8mj1D4nj0-HU_EX5NdZN81RVnMKEJSez7AEw5npEep0VuQk880kUNdG-vUWf0Pd0IslrBK32C7mG6LnPcHqnP6YLK7puI3dNOWUHtDIDPrppu4zPaAX4_E3eghbX6QYgnj3klwej78fnRRDUoUiVNIsChO9M6UTXjH4KpjPpQgm6KbiSUntwGESuhYgYQHYmwWtqhQBM0YhWarLOopXZKvt2vSGUNZo9MCkFj5WQdWex6BYYlXDE3fBj8inexnbMDCOY-KLGwueByrFolIsKsVmpYzIx9ULP3uyjb9XPUSlraohS3Z-ALZjB9ux_7KdEXl_r3ILswqPSlybuuXcApDRygA4rEfkdW8Cq65gCQRQw6FEbxjHxlg2S9rJdWbu1iVe_DVv_8fgd8gTFAfGwzGzS7YWs2V6BwBp4ffyXPgNVqYRQw priority: 102 providerName: Directory of Open Access Journals |
| Title | Nomograms for Predicting Cancer-Specific and Overall Survival Among Patients With Endometrial Carcinoma: A SEER Based Study |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/32266128 https://www.proquest.com/docview/2387690568 https://pubmed.ncbi.nlm.nih.gov/PMC7096479 https://doaj.org/article/ba6e9cea5efe4a3582f5d9963d21b0a9 |
| Volume | 10 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3db9MwELdgSIgXxDflYzISD7xkxHZsx0gIbVPHhNQxMSr6Fjm2wyq1CaTtxMQ_z52TFYqKxEseYseOcz7f7-Lz_Qh5aa0K3Osy0UrhNqMMiXU-JKz01njN81zi2eHRiToeZx8mcvKbDqj_gIutrh3ySY3b2d6P75fvQOHfoscJ9vZ11dSYjJBjkBZX5jq5AWZJI53BqMf63bIskdMAyea4yBKTiUmX6mdbGxtWKibz34ZA_w6k_MMyHd0ht3tISfe7OXCXXAv1PXJz1G-a3yc_T5p5DMJaUECo9LTFEox2poco8jaJHPTV1FFbe_rxAv9SzejZChaRC2wX6YjoaZd_dUG_TJfndFj7Zh4i4wc00kI_zdy-ofv0bDj8RA_AMnqKEYqXD8j4aPj58DjpORcSl0mzTIwvrUmtKBWDUYG6p8IZp6uMByW1BX9K6Fx4QDUAzZnTKgseIKUXkoU8zb14SHbqpg6PCWWVRgdNalH6zKm85N4pFlhW8cCtKwdk7-obF65PSI68GLMCHBMUSoFCKVAoRRTKgLxaP_Cty8Xx76oHKLR1NUyiHW807dei10nACSoYF6wMVcgsHhmuJIxMCc9ZmVpo5MWVyAtQOtxJsXVoVosCcI5WBrBjPiCPuimw7gpWSMA8HEr0xuTYeJfNknp6HhN76xTPBZsn_9HvU3ILR4vRcMw8IzvLdhWeAzxalrvxtwJc30_YblSBX9Q6EKg |
| linkProvider | Scholars Portal |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Nomograms+for+Predicting+Cancer-Specific+and+Overall+Survival+Among+Patients+With+Endometrial+Carcinoma%3A+A+SEER+Based+Study&rft.jtitle=Frontiers+in+oncology&rft.au=Zhu%2C+Lingping&rft.au=Sun%2C+Xiaoming&rft.au=Bai%2C+Wenpei&rft.date=2020-03-19&rft.issn=2234-943X&rft.eissn=2234-943X&rft.volume=10&rft.spage=269&rft_id=info:doi/10.3389%2Ffonc.2020.00269&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2234-943X&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2234-943X&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2234-943X&client=summon |