Evidence map›Paper›PMID 30591864›Full record

ArticleJournal of bone oncology2018

Prognostic nomograms for predicting overall and cancer-specific survival of high-grade osteosarcoma patients.

Kehan Song, Jian Song, Feiyan Chen, Kaiyuan Lin, Xiaosheng Ma, Jianyuan Jiang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of bone oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

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  19. Frontiers in oncology · 2022
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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

6 authors.

Kehan SongDepartment of Orthopaedics, Huashan Hospital, Fudan University, No.12 Wulumuqizhong Road, Shanghai 200040, China.
Jian SongDepartment of Orthopaedics, Huashan Hospital, Fudan University, No.12 Wulumuqizhong Road, Shanghai 200040, China.
Feiyan ChenDepartment of Orthopaedics, Huashan Hospital, Fudan University, No.12 Wulumuqizhong Road, Shanghai 200040, China.
Kaiyuan LinDepartment of Orthopaedics, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Shanghai 200032, China.
Xiaosheng MaDepartment of Orthopaedics, Huashan Hospital, Fudan University, No.12 Wulumuqizhong Road, Shanghai 200040, China.
Jianyuan JiangDepartment of Orthopaedics, Huashan Hospital, Fudan University, No.12 Wulumuqizhong Road, Shanghai 200040, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe present study aimed to develop nomograms estimating survival for patients with high-grade osteosarcoma.

methods1990 patients with high-grade osteosarcoma between 1994 and 2013 were retrospectively retrieved from the Surveillance, Epidemiology, and End Results (SEER) database. Data from 12 cancer registries (

resultsAge, primary site, tumor size, use of surgery, and extent of disease were found to be independently associated with OS and CSS (

conclusionsWe constructed nomograms that accurately predict OS and CSS of high-grade osteosarcoma patients. The nomograms can be used for counseling patients and establishing risk stratification.

Indexed as

NomogramOsteosarcomaPrognostic factorSurvivalValidation

Identifiers

PMID30591864
PMCPMC6303413

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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.