Evidence map›Paper›PMID 38012424›Full record

ReviewVirchows Archiv : an international journal of pathology2024

Molecular pathology as basis for timely cancer diagnosis and therapy.

A Craig Mackinnon, Darshan Shimoga Chandrashekar, David I Suster

Abstract readReview
PubMed Publisher
In one paragraph

Review in Virchows Archiv : an international journal of pathology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 1 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

3 authors at 2 institutions in 1 country.

A Craig MackinnonDepartment of Pathology, University of Alabama at Birmingham, 619 19Th Street South, Birmingham, AL, 35249, USA. amackinnon@uabmc.edu.ORCID http://orcid.org/0000-0002-2036-8529
Darshan Shimoga ChandrashekarDepartment of Pathology, University of Alabama at Birmingham, 619 19Th Street South, Birmingham, AL, 35249, USA.
David I SusterDepartment of Pathology, Rutgers University New Jersey Medical School, 150 Bergen Street, Newark, NJ, 07103, USA. Dis49@njms.rutgers.edu.
University of Alabama at Birmingham · USRutgers, The State University of New Jersey · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precision and personalized therapeutics have witnessed significant advancements in technology, revolutionizing the capabilities of laboratories to generate vast amounts of genetic data. Coupled with computational resources for analysis and interpretation, and integrated with various other types of data, including genomic data, electronic medical health (EMH) data, and clinical knowledge, these advancements support optimized health decisions. Among these technologies, next-generation sequencing (NGS) stands out as a transformative tool in the field of cancer treatment, playing a crucial role in precision oncology. NGS-based workflows are employed across a range of applications, including gene panels, exome sequencing, and whole-genome sequencing, supporting comprehensive analysis of the entire cancer genome, including mutations, copy number variations, gene expression profiles, and epigenetic modifications. By utilizing the power of NGS, these workflows contribute to enhancing our understanding of disease mechanisms, diagnosis confirmation, identifying therapeutic targets, and guiding personalized treatment decisions. This manuscript explores the diverse applications of NGS in cancer treatment, highlighting its significance in guiding diagnosis and treatment decisions, identifying therapeutic targets, monitoring disease progression, and improving patient outcomes.

Indexed as

NeoplasmsDNA Copy Number VariationsHigh-Throughput Nucleotide SequencingHumansPathology, MolecularPrecision MedicineSequence Analysis, DNAElectronic medical healthMolecular pathologyNext-generation sequencing

Identifiers

PMID38012424
OpenAlexW4389082381

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.