Evidence map›Paper›PMID 37097307›Full record

ReviewMedical oncology (Northwood, London, England)2023

A review on emerging targeted therapies for the management of metastatic colorectal cancers.

Rohitas Deshmukh, Mahendra Prajapati, Ranjit K Harwansh

Abstract readReview
PubMed Publisher
In one paragraph

Review in Medical oncology (Northwood, London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

10 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
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  8. VEGF signaling: Role in angiogenesis and beyond.Biochimica et biophysica acta. Reviews on cancer · 2024
    Review
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  10. 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

3 authors at 1 institution in 1 country.

Rohitas DeshmukhInstitute of Pharmaceutical Research, GLA University, Mathura, 281406, India. rahi18rahi@gmail.com.ORCID http://orcid.org/0000-0002-8962-6821
Mahendra PrajapatiInstitute of Pharmaceutical Research, GLA University, Mathura, 281406, India.
Ranjit K HarwanshInstitute of Pharmaceutical Research, GLA University, Mathura, 281406, India.
GLA University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancers are among the most commonly found cancers over the world. In spite of the recent advancements in diagnosis and prognosis, the management of this metastatic condition remains a challenge. The utility of monoclonal antibodies in the healing of patients with colorectal cancer has opened a new chapter in the quest for newer therapies. The resistance to the standard treatment regimen made it mandatory to search for newer targets. Mutagenic alterations in the gene engaged in cellular differentiation and growth pathway have been the reason for resistance to treatment. The newer therapies target the various proteins and receptors involved in the signal transduction and down streaming pathways leading to cell proliferation. This review presents an insight into the newer targeted therapies for colorectal cancer involving tyrosine kinase blockers, epidermal growth factor receptors, vascular endothelial growth factor, immune checkpoint therapy, and BRAF inhibitors.

Indexed as

Antineoplastic AgentsColonic NeoplasmsColorectal NeoplasmsRectal NeoplasmsAntibodies, MonoclonalErbB ReceptorsHumansMutationVascular Endothelial Growth Factor AAntibodies, MonoclonalAntineoplastic AgentsErbB ReceptorsVascular Endothelial Growth Factor AColorectal cancerEGFRKRASMedian overall survivalMutationVEGF

Identifiers

PMID37097307
OpenAlexW4366982960

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.