Evidence map›Paper›PMID 28149883›Full record

ArticleAnnals of translational medicine2016

Focusing the management of rectal cancer.

Rachel Dbeis, Neil J Smart, Ian R Daniels

Open access · hybridAbstract readComment
In one paragraph

Article in Annals of translational medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 38% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Rachel DbeisUniversity of Exeter Medical School, St Lukes Campus, Exeter, Devon, UK.
Neil J SmartExeter Surgical Health Services Research Unit (HeSRU), Royal Devon & Exeter Hospital, Exeter, Devon, UK.
Ian R DanielsExeter Surgical Health Services Research Unit (HeSRU), Royal Devon & Exeter Hospital, Exeter, Devon, UK.
Royal Devon and Exeter Hospital · GBUniversity of Exeter · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rectal cancer treatment has undergone major changes over the last 15 years with a focus on individualized care based around MRI assessment of the relationship of the tumour to the mesorectal fascia, improved surgical techniques and targeted use of pre-operative oncological therapies in patients with locally advanced disease. The recognition that some tumours responded completely to pre-operative chemoradiotherapy, and the selective use of a non-operative policy has led to a quest to further identify those patients and their tumour in whom this approach could be used, irrespective of MRI stage. With no clear patient factors identified, the tumour and its gene expression has become a target for research to identify individual single-nucleotide polymorphisms, which may indicate a response to specific treatment, or not. To date some agents have been identified and trialed, such as cetuximab, with individual tumours being assessed for response allowing directed treatment. The reviewed paper by Sebio and colleagues report a study that links polymorphisms in the DNA repair gene XRCC1 with response to neoadjuvant 5-Fluorouracil treatment in rectal cancer patients. However, genetic heterogeneity alone may not explain the variations of drug response and environmental factors may lead to epigenetic effects and therefore alter responses. Therefore whilst this study demonstrates the impact of different single nucleotide polymorphisms (SNPs), it is only one step forward, but perhaps a step in the right direction.

Indexed as

genomicsRectal cancersingle nucleotide polymorphisms (SNPs)tumor heterogeneity

Identifiers

PMID28149883
PMCPMC5233502
OpenAlexW2571297342

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.