Evidence map›Paper›PMID 29228583›Full record

ArticleOncotarget2017

Development and validation of nomogram based on miR-203 and clinicopathological characteristics predicting survival after neoadjuvant chemotherapy and surgery for patients with non-metastatic osteosarcoma.

Dong Cheng, Xubin Qiu, Ming Zhuang, Chenlei Zhu, Hongjun Zou, Ailiang Zhang

Abstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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.

Dong ChengDepartment of Orthopedics, The Third Affiliated Hospital of Soochow University, Changzhou 213003, P.R. China.
Xubin QiuDepartment of Orthopedics, The Third Affiliated Hospital of Soochow University, Changzhou 213003, P.R. China.
Ming ZhuangDepartment of Orthopedics, The Third Affiliated Hospital of Soochow University, Changzhou 213003, P.R. China.
Chenlei ZhuDepartment of Orthopedics, The Third Affiliated Hospital of Soochow University, Changzhou 213003, P.R. China.
Hongjun ZouDepartment of Orthopedics, The Third Affiliated Hospital of Soochow University, Changzhou 213003, P.R. China.
Ailiang ZhangDepartment of Orthopedics, The Third Affiliated Hospital of Soochow University, Changzhou 213003, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecently, nomograms have been used as models for risk prediction in malignant tumor because they can predict the outcome of interest for a certain individual based on many variables. This study aimed to establish an effective prognostic nomogram for osteosarcoma based on the clinicopathological factors and microRNA-203.

resultsThe results showed that miR-203 expression was significantly lower in osteosarcoma tissues compared with the corresponding adjacent tissues ( MATERIALS AND

methodsWe retrospectively investigated 301 patients with non-metastatic osteosarcoma. Data from primary cohort (

conclusionsOur proposed nomogram showed more accurate prognostic prediction for patients with non-metastatic osteosarcoma.

Indexed as

external validationmicroRNA-203nomogramosteosarcomaprognosis

Identifiers

PMID29228583
PMCPMC5722535

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