Evidence map›Paper›PMID 31353800›Full record

ArticleCancer medicine2019

Prognostic nomograms to predict overall survival and cancer-specific survival in patients with pelvic chondrosarcoma.

Li Chen, Cheng Long, Jiaxin Liu, Xin Duan, Zhou Xiang

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 20 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Li ChenDepartment of Orthopedics, West China Hospital, Sichuan University, Chengdu, China.
Cheng LongDepartment of Orthopedics, West China Hospital, Sichuan University, Chengdu, China.
Jiaxin LiuDepartment of Orthopedics, West China Hospital, Sichuan University, Chengdu, China.
Xin DuanDepartment of Orthopedics, West China Hospital, Sichuan University, Chengdu, China.ORCID https://orcid.org/0000-0002-8090-6202
Zhou XiangDepartment of Orthopedics, West China Hospital, Sichuan University, Chengdu, China.
Sichuan University · CN

Funding

National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University Z2018A11National Natural Science Foundation of China 31870961Sino-German Center for Research Promotion GZ 1219
6 · The paper itself

Abstract

backgroundThe pelvis is the most common site of chondrosarcoma (CS), and the prognosis for patients with pelvic CS is worse than that for patients with CS in the extremities. However, clinicians have had few tools for estimating the likelihood of survival in patients with pelvic CS. Our aim was to develop nomograms to predict survival of patients with pelvic CS.

methodsData from the Surveillance, Epidemiology, and End Results (SEER) database of patients with pelvic CS between 2004 and 2016 were retrieved for retrospective analysis. Univariate and multivariate Cox analyses were used to identify independent prognostic factors. On the basis of the results of the multivariate analyses, nomograms were constructed to predict the likelihood of 3- and 5-year overall survival (OS) and cancer-specific survival (CSS) of patients with pelvic CS. The concordance index (C-index) and calibration curves were used to test the models.

resultsIn univariate and multivariate analyses of OS, sex, pathologic grade, tumor size, tumor stage, and surgery were identified as the independent risk factors. In univariate and multivariate analyses of CSS, pathologic grade, tumor size, tumor stage, and surgery were identified as the independent risk factors. These characteristics except surgery were integrated in the nomograms for predicting 3- and 5-year OS and CSS, and the C-indexes were 0.758 and 0.786, respectively.

conclusionThe nomograms precisely and individually predict OS and CSS of patients with pelvic CS and could aid in personalized prognostic evaluation and individualized clinical decision-making.

Indexed as

NomogramsAdolescentAdultAgedAged, 80 and overBone NeoplasmsChildChondrosarcomaClinical Decision-MakingFemaleHumansKaplan-Meier EstimateMaleMiddle AgedPelvic BonesPrecision Medicinecancer-specific survivalchondrosarcomanomogramoverall survivalpelvisSEER

Identifiers

PMID31353800
PMCPMC6745823
OpenAlexW2966660644

What OpenQuestion holds

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LicenceCC BY
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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.