Evidence map›Paper›PMID 29560111›Full record

ArticleOncotarget2018

Investigating the benefits of molecular profiling of advanced non-small cell lung cancer tumors to guide treatments.

Costi Alifrangis, Philip Carter, Biancastella Cereser, Pramodh Chandrasinghe, Lisa Del Bel Belluz, Eric Lim, Nina Moderau, Fotini Poyia, Neha Tabassum, Hua Zhang and 2 more

Abstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Detection ofCancers · 2020
    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

12 authors.

Costi AlifrangisDepartment of Oncology, University College Hospital, London, UK.
Philip CarterDepartment of Surgery and Cancer, Imperial College, London, UK.
Biancastella CereserDepartment of Surgery and Cancer, Imperial College, London, UK.
Pramodh ChandrasingheDepartment of Surgery and Cancer, Imperial College, London, UK.
Lisa Del Bel BelluzDepartment of Surgery and Cancer, Imperial College, London, UK.
Eric LimNational Heart and Lung Institute, Imperial College, London, UK.
Nina ModerauDepartment of Surgery and Cancer, Imperial College, London, UK.
Fotini PoyiaDepartment of Surgery and Cancer, Imperial College, London, UK.
Neha TabassumDepartment of Surgery and Cancer, Imperial College, London, UK.
Hua ZhangDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Jonathan KrellDepartment of Surgery and Cancer, Imperial College, London, UK.
Justin StebbingDepartment of Surgery and Cancer, Imperial College, London, UK.

Funding

Department of Health NIHR-RP-011-053
6 · The paper itself

Abstract

In this study we utilized data on patient responses to guided treatments, and we evaluated their benefit for a non-small cell lung cancer cohort. The recommended therapies used were predicted using tumor molecular profiles that involved a range of biomarkers but primarily used immunohistochemistry markers. A dataset describing 91 lung non-small cell lung cancer patients was retrospectively split into two. The first group's drugs were consistent with a treatment plan whereby all drugs received agreed with their tumor's molecular profile. The second group each received one or more drug that was expected to lack benefit. We found that there was no significant difference in overall survival or mortality between the two groups. Patients whose treatments were predicted to be of benefit survived for an average of 402 days, compared to 382 days for those that did not (

Indexed as

cancer treatmentlung cancernon-small cell lung cancerNSCLCtumor profiling

Identifiers

PMID29560111
PMCPMC5849175

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.