Evidence map›Paper›PMID 38314216›Full record

ArticleCurrent health sciences journal

Genomic Profiling - A Need for Clinical Decision? -Case Reports.

Ana-Maria Ciurea, Michael Schenker, Cristina Mihaela Ciofiac, Liliana Streba, Ramona Schenker, Costin Teodor Streba

Abstract readCase Reports
In one paragraph

Article in Current health sciences journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Ana-Maria CiureaDepartment of Oncology, University of Medicine and Pharmacy of Craiova, Romania.
Michael SchenkerDepartment of Oncology, University of Medicine and Pharmacy of Craiova, Romania.
Cristina Mihaela CiofiacDoctoral School, Department of Radiology and Medical Imaging, University of Medicine and Pharmacy of Craiova.
Liliana StrebaDepartment of Oncology, University of Medicine and Pharmacy of Craiova, Romania.
Ramona SchenkerPsychology Department, Sf Nectarie Oncology Center, Craiova, Romania.
Costin Teodor StrebaDepartment of Pulmonology, University of Medicine and Pharmacy of Craiova, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is still an important health issue worldwide due to increased incidence and mortality. Personalized medicine is the future of cancer treatment. Development in technology improved technical skills in DNA/RNA sequencing. NGS technology in solid-tumor samples can describe DNA or RNA analysis by including the entire genome to detect clinical relevant mutations. Genetic results may be considered having a dynamic impact because of heterogenous molecular alterations depending of time and treatment influence. We conducted a retrospective study of all NGS tests made in the last five years for the patients from 'Sf. Nectarie' Oncology Center, Craiova, Romania. We selected three relevant clinical cases where NGS analysis was performed and the results changed the perspective of the clinical decision. Our aim is to evaluate the importance of NGS results in clinical approach. Although medicine known an important development during the last decades, only a few patients can benefit of advanced personalized treatments. It is still hard to identify the alterations or gene mutations because of genetic tests are not easily available and only a small proportion of patients carries genetic alterations.

Indexed as

digestive cancergenetic mutationsNGS (Next Generation Sequencing)

Identifiers

PMID38314216
PMCPMC10832885

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.