Evidence map›Paper›PMID 29914100›Full record

ReviewJournal of clinical medicine2018

An Update on Predictive Biomarkers for Treatment Selection in Non-Small Cell Lung Cancer.

Tamkin Ahmadzada, Steven Kao, Glen Reid, Michael Boyer, Annabelle Mahar, Wendy A Cooper

Open access · goldAbstract readReview
In one paragraph

Review in Journal of clinical medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 3% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

  1. Pooled it
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  11. RETRACTED: Protein Tyrosine Phosphatase Non-Receptor 11 (International journal of molecular sciences · 2023
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  14. Novel Radiomic Measurements of Tumor-Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
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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 at 2 institutions in 1 country.

Tamkin AhmadzadaSydney Medical School, The University of Sydney, Sydney 2006, Australia. tahm4852@uni.sydney.edu.au.ORCID 0000-0003-0324-1363
Steven KaoSydney Medical School, The University of Sydney, Sydney 2006, Australia. steven.kao@lh.org.au.
Glen ReidSydney Medical School, The University of Sydney, Sydney 2006, Australia. glen.reid@sydney.edu.au.
Michael BoyerSydney Medical School, The University of Sydney, Sydney 2006, Australia. michael.boyer@lh.org.au.
Annabelle MaharTissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital, Sydney 2050, Australia. annabelle.mahar@health.nsw.gov.au.
Wendy A CooperSydney Medical School, The University of Sydney, Sydney 2006, Australia. wendy.cooper@health.nsw.gov.au.
The University of Sydney · AURoyal Prince Alfred Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is now widely established that management of lung cancer is much more complex and cannot be centered on the binary classification of small-cell versus non-small cell lung cancer (NSCLC). Lung cancer is now recognized as a highly heterogeneous disease that develops from genetic mutations and gene expression patterns, which initiate uncontrolled cellular growth, proliferation and progression, as well as immune evasion. Accurate biomarker assessment to determine the mutational status of driver mutations such as

Indexed as

immunotherapyNSCLCpredictive biomarkerstargeted therapy

Identifiers

PMID29914100
PMCPMC6025105
OpenAlexW2808395887

What OpenQuestion 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 OpenQuestion graph.