Evidence map›Paper›PMID 19680295›Full record

ReviewOncogene2009

Individualized therapy in non-small-cell lung cancer: future versus current clinical practice.

R Pérez-Soler

Abstract readReview
PubMed Publisher
In one paragraph

Review in Oncogene, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 28 citations in OpenAlex.

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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

1 author at 1 institution in 1 country.

R Pérez-SolerDivision of Medical Oncology, Department of Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY 10467, USA. rperezso@montefiore.org
Montefiore Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite advances in the management of non-small-cell lung cancer (NSCLC), including the introduction of targeted therapies such as epidermal growth factor receptor tyrosine kinase inhibitors, improvements in survival are marginal and the overall prognosis for patients remains poor. Tailoring therapy to the individual patient is a promising approach for selecting the most appropriate therapeutic regimens to maximize efficacy and minimize toxicity. The identification of predictive biomarkers that can guide treatment decisions is an important step for individualized therapy and in ultimately improving patient outcomes. Genomic and proteomic studies provide a means for the molecular profiling of tumor tissue from patients with NSCLC, and allow tailoring of therapy whereby the most appropriate treatment is administered to each individual patient. Although there are still significant challenges to implementing genomic and proteomic testing in clinical practice, the rapid development of newer technologies provides hope for overcoming these barriers.

Indexed as

Biomarkers, TumorCarcinoma, Non-Small-Cell LungErbB ReceptorsGene Expression ProfilingGenomicsHumansLung NeoplasmsPharmacogeneticsPrognosisProteomicsTreatment OutcomeBiomarkers, TumorEGFR protein, humanErbB Receptors

Identifiers

PMID19680295
OpenAlexW1972733766

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.