Evidence map›Paper›PMID 39722096›Full record

ArticleEJNMMI reports2024

Predictive role of [

Magdi A Ali, Omar Shebl Zahra, Mohmed I Morsi, Mohamed M El Safwany, Shaymaa Essam El Feky

Abstract read
In one paragraph

Article in EJNMMI reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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.

Magdi A AliFaculty of Health Sciences, Gulf Medical University, Ajman, United Arab Emirates. dr.ali@gmu.ac.ae.ORCID http://orcid.org/0000-0002-6529-536X
Omar Shebl ZahraClinical Oncology and Nuclear Medicine Department, Faculty of Medicine, University of Alexandria, Alexandria, Egypt.
Mohmed I MorsiRadiation Sciences Department, Medical Research Institute, University of Alexandria, Alexandria, Egypt.
Mohamed M El SafwanyRadiology and Medical Imaging Department, Faculty of Applied Health Sciences Technology, Pharos University, Alexandria, Egypt.
Shaymaa Essam El FekyRadiation Sciences Department, Medical Research Institute, University of Alexandria, Alexandria, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe objective of this study was to evaluate the predictive value of

methodsBlood samples were collected from 90 mCRC patients to assess KRAS G13V, BRAF V600E, and EGFR exon 20 mutations. [

resultsThe SUV max, TLG, and TBR were significantly greater in patients with the KRAS G13V and BRAF V600E mutations than in patients with the wild-type genotype. The SUVmax was also significantly greater in patients with EGFR exon 20 mutations. Haplotype analysis revealed that the SUVmax was significantly greater in patients with KRAS/BRAF/EGFR mutations than in other patients, with a specificity of 68.18% and sensitivity of 65.28%.

conclusionThe results suggest that [

Indexed as

[18F] FDGMetastatic colorectal cancerMutationsPET-CTRadiomics

Identifiers

PMID39722096
PMCPMC11669641

What Socratic 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 Socratic graph.