Evidence map›Paper›PMID 29237527›Full record

ReviewZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics2017

[A rhabdomyosarcoma patient from a Li-Fraumeni syndrome family: a case report and literature review].

Yao Xie, Wei-Hong Zhao, Ying Hua, Qing Sun, Peng-Hui Wu

Open access · greenAbstract readCase ReportsReview
In one paragraph

Review in Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics, 2017. 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
0.1field-weighted citation impact, top 44% 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, 2 citations in OpenAlex.

  1. Article
  2. Li-Fraumeni syndrome heterogeneity.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2020
    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

5 authors at 1 institution in 1 country.

Yao XieDepartment of Pediatrics, Peking University First Hospital, Beijing 100034, China. zhaowh3212@126.com.
Wei-Hong Zhao
Ying Hua
Qing Sun
Peng-Hui Wu
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Li-Fraumeni syndrome (LFS) is a hereditary cancer predisposition syndrome, with the characteristics of early onset of cancer and high cancer incidence. TP53 is widely accepted as a pathogenic gene of LFS. A 2 years and 6 months old boy is reported in this article, who was diagnosed with embryonal rhabdomyosarcoma (RMS) in the left submandibular region. His brother died of RMS, and his grandmother was diagnosed with breast cancer. TP53 gene mutation detection was performed in this patient and some family members, indicating a missense mutation in exon 8 of the patient: c.844C>T (p.Arg282Trp, heterozygous). TP53 mutation was also found in his mother and sister. The boy met the diagnostic criteria for LFS. Among pediatric patients, the most common LFS diseases include osteosarcoma, adrenocortical cancer, central nervous system tumor, and soft tissue tumor. Additionally, leukemia and lymphoma are also involved. LFS patients have a high risk to suffer secondary or even multiple cancers. Therefore, it is necessary to perform genetic detection for pediatric cancer patients, especially those with hereditary predisposition cancers. TP53 mutation often indicates poor prognosis, so it is important to take active treatment and systematic monitoring for LFS family.

Indexed as

Child, PreschoolGenes, p53HumansLi-Fraumeni SyndromeMaleMutationRhabdomyosarcoma

Identifiers

PMID29237527
PMCPMC7389807
OpenAlexW2981877804

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.