Evidence map›Paper›PMID 34405711›Full record

ArticleCancer control : journal of the Moffitt Cancer Center

Nomogram for predicting cancer-specific survival in undifferentiated pleomorphic sarcoma: A Surveillance, Epidemiology, and End Results -based study.

Fengshuo Xu, Fanfan Zhao, Xiaojie Feng, Chengzhuo Li, Didi Han, Shuai Zheng, Yue Liu, Jun Lyu

Abstract read
In one paragraph

Article in Cancer control : journal of the Moffitt Cancer Center. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
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.

Fengshuo XuDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Fanfan ZhaoDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Xiaojie FengDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Chengzhuo LiDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Didi HanDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Shuai ZhengDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Yue LiuXiyuan Hospital of China Academy of Chinese Medicinal Science, Beijing, China.
Jun LyuDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China.ORCID https://orcid.org/0000-0002-2237-8771

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe purpose of this study was to construct and validate a nomogram for predicting cancer-specific survival (CSS) in undifferentiated pleomorphic sarcoma (UPS) patients at 3, 5, and 8 years after the diagnosis.

methodsData for UPS patients were extracted from the SEER (Surveillance, Epidemiology, and End Results) database. The patients were randomly divided into a training cohort (70%) and a validation cohort (30%). The backward stepwise Cox regression model was used to select independent prognostic factors. All of the factors were integrated into the nomogram to predict the CSS rates in UPS patients at 3, 5, and 8 years after the diagnosis. The nomogram' s performance was then validated using multiple indicators, including the area under the time-dependent receiver operating characteristic curve (AUC), consistency index (C-index), calibration curve, decision-curve analysis (DCA), integrated discrimination improvement (IDI), and net reclassification improvement (NRI).

resultsThis study included 2,009 UPS patients. Ten prognostic factors were identified after analysis of the Cox regression model in the training cohort, which were year of diagnosis, age, race, primary site, histological grade, T, N, M stage, surgery status, and insurance status. The nomogram was then constructed and validated internally and externally. The relatively high C-indexes and AUC values indicated that the nomogram has good discrimination ability. The calibration curves revealed that the nomogram was well calibrated. NRI and IDI values were both improved, indicating that our nomogram was superior to the AJCC (American Joint Committee on Cancer) system. DCA curves demonstrated that the nomogram was clinically useful.

conclusionsThe first nomogram for predicting the prognosis of UPS patients has been constructed and validated. Its usability and performance showed that the nomogram can be applied to clinical practice. However, further external validation is still needed.

Indexed as

NomogramsAgedFemaleHistiocytoma, Malignant FibrousHumansMaleMiddle AgedNeoplasm GradingNeoplasm StagingPrognosisProportional Hazards ModelsResearch ReportROC CurveSEER ProgramSociodemographic FactorsSurvival Ratecancer-specific survivalnomogramSurveillance, Epidemiology, and End Resultsundifferentiated pleomorphic sarcoma

Identifiers

PMID34405711
PMCPMC8377322

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.