Evidence map›Paper›PMID 37771443›Full record

ReviewFrontiers in oncology2023

Advances in the relationship between temporal muscle thickness and prognosis of patients with glioblastoma: a narrative review.

Jinhai Tang, Zhenghao Dong, Junxiu Sheng, Ping Yang, Wanying Zhao, Juan Xue, Qizheng Li, Li Lv, Xiupeng Lv

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
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

9 authors at 4 institutions in 1 country.

Jinhai TangDepartment of Radiation Oncology, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Zhenghao DongDepartment of Thoracic Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Junxiu ShengDepartment of Radiation Oncology, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Ping YangDepartment of Radiation Oncology, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Wanying ZhaoDepartment of Radiation Oncology, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Juan XueDepartment of Radiation Oncology, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Qizheng LiDepartment of Radiation Oncology, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Li LvDepartment of Pathology, the Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Xiupeng LvDepartment of Radiation Oncology, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Dalian Medical University · CNFirst Affiliated Hospital of Dalian Medical University · CNSecond Affiliated Hospital of Dalian Medical University · CNSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The most dangerous variety of glioma, glioblastoma, has a high incidence and fatality rate. The prognosis for patients is still bleak despite numerous improvements in treatment approaches. We urgently need to develop clinical parameters that can evaluate patients' conditions and predict their prognosis. Various parameters are available to assess the patient's preoperative performance status and degree of frailty, but most of these parameters are subjective and therefore subject to interobserver variability. Sarcopenia can be used as an objective metric to measure a patient's physical status because studies have shown that it is linked to a bad prognosis in those with cancers. For the purpose of identifying sarcopenia, temporal muscle thickness has demonstrated to be a reliable alternative for a marker of skeletal muscle content. As a result, patients with glioblastoma may use temporal muscle thickness as a potential marker to correlate with the course and fate of their disease. This narrative review highlights and defines the viability of using temporal muscle thickness as an independent predictor of survival in glioblastoma patients, and it evaluates recent research findings on the association between temporal muscle thickness and prognosis of glioblastoma patients.

Indexed as

frailtyglioblastomaoverall survivalprognosisprogression-free survivalsarcopeniatemporal muscle thickness

Identifiers

PMID37771443
PMCPMC10525700
OpenAlexW4386708289

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.