Evidence map›Paper›PMID 30174790›Full record

ArticleOncotarget2018

The assessment of correlation and prognosis among

Hayato Kaida, Koichi Azuma, Akihiko Kawahara, Eiji Sadashima, Satoshi Hattori, Shinzo Takamori, Jun Akiba, Kiminori Fujimoto, Axel Rominger, Takamichi Murakami and 2 more

Abstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Journal of Cancer · 2021
    Article
  7. Predicting STAT1 as a prognostic marker in patients with solid cancer.Therapeutic advances in medical oncology · 2020
    Article
  8. 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

12 authors.

Hayato KaidaDepartment of Radiology, Kindai University Faculty of Medicine, Osakasayama, Osaka, Japan.
Koichi AzumaDivision of Respirology, Department of Internal Medicine, Kurume University School of Medicine, Kurume, Fukuoka, Japan.
Akihiko KawaharaDepartment of Diagnostic Pathology, Kurume University Hospital, Kurume, Fukuoka, Japan.
Eiji SadashimaLife Science, Saga-Ken Medical Centre Koseikan, Saga, Saga, Japan.
Satoshi HattoriDepartment of Biomedical Statistics, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
Shinzo TakamoriDepartment of Surgery, Kurume University School of Medicine, Kurume, Fukuoka, Japan.
Jun AkibaDepartment of Diagnostic Pathology, Kurume University Hospital, Kurume, Fukuoka, Japan.
Kiminori FujimotoDepartment of Radiology, Kurume University School of Medicine, Kurume, Fukuoka, Japan.
Axel RomingerDepartment of Nuclear Medicine, Inselspital, Bern University Hospital, Bern, Switzerland.
Takamichi MurakamiDepartment of Radiology, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan.
Kazunari IshiiDepartment of Radiology, Kindai University Faculty of Medicine, Osakasayama, Osaka, Japan.
Masatoshi IshibashiDepartment of Radiology, Fukuoka Tokushukai Medical Center, Kasuga, Fukuoka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTo assess the correlation among

resultsKnockdown of Glut1 led to a significant increase in pStat1 expression. Glut1 expression positively correlated with the SUVmax, SUVmean, and TLG significantly (

conclusionpStat3 and Glut1 may be associated with

methodsThe SUVmax, SUVmean, MTV and TLG of primary lesions were calculated in 140 patients. The expressions of Glut1 and Stat pathway proteins in NSCLC cell lines were examined by immune blots. Excised tumor tissue was analyzed by immunohistochemistry. OS and DFS were evaluated by the Kaplan-Meier method. The difference in survival between subgroups was analyzed by log-rank test. The prognostic significance of clinicopathological, molecular and PET parameters was assessed by Cox proportional hazard regression analysis.

Indexed as

Glut1non-small cell lung cancerpStat1pStat3volumetric parameters

Identifiers

PMID30174790
PMCPMC6112832

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Registered trials

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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.