Evidence map›Paper›PMID 31632552›Full record

ArticleAmerican journal of translational research2019

Yang Yang, Huijuan Shi, Jiaxin Zheng, Huabin Gao, Tiantian Zhen, Fenfen Zhang, Anjia Han

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
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

7 authors at 1 institution in 1 country.

Yang YangDepartment of Pathology, The First Affiliated Hospital, Sun Yat-sen University Guangzhou 510080, Guangdong, P. R. China.
Huijuan ShiDepartment of Pathology, The First Affiliated Hospital, Sun Yat-sen University Guangzhou 510080, Guangdong, P. R. China.
Jiaxin ZhengDepartment of Pathology, The First Affiliated Hospital, Sun Yat-sen University Guangzhou 510080, Guangdong, P. R. China.
Huabin GaoDepartment of Pathology, The First Affiliated Hospital, Sun Yat-sen University Guangzhou 510080, Guangdong, P. R. China.
Tiantian ZhenDepartment of Pathology, The First Affiliated Hospital, Sun Yat-sen University Guangzhou 510080, Guangdong, P. R. China.
Fenfen ZhangDepartment of Pathology, The First Affiliated Hospital, Sun Yat-sen University Guangzhou 510080, Guangdong, P. R. China.
Anjia HanDepartment of Pathology, The First Affiliated Hospital, Sun Yat-sen University Guangzhou 510080, Guangdong, P. R. China.
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Undifferentiated round cell sarcomas (URCSs) usually remained unclassified due to lack of known genetic abnormalities. Herein, we retrospectively collected 5 cases of URCSs and sought to investigate their unique clinicopathologic and molecular features for providing more accurate classification. There were 2 males and 3 females with age ranged from 7 months to 17 years. The tumors were respectively located in the sacrum, fibula, neck, perineum or groin. Microscopically, all 5 tumors were composed of small-to-medium sized cells with primitive morphology and variable cellularity, distributed within loose myxoid or collagenized fibroid stroma. These tumors lacked specific immunophenotypes and known gene rearrangements. However, the expression levels of CD99 and cyclin D1 were variable. RNA-sequencing data identified one

Indexed as

BCOR-CCNB3BCOR internal tandem duplication (BCOR-ITD)Undifferentiated round cell sarcomas (URCSs)

Identifiers

PMID31632552
PMCPMC6789234
OpenAlexW2983067312

What OpenQuestion holds

Textmetadata
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.