Evidence map›Paper›PMID 24958181›Full record

ReviewNature reviews. Clinical oncology2014

How does genome sequencing impact surgery?

Marlies S Reimers, Charla C Engels, Peter J K Kuppen, Cornelis J H van de Velde, Gerrit J Liefers

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Clinical oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. 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

5 authors at 1 institution in 1 country.

Marlies S ReimersDepartment of Surgery, Leiden University Medical Centre, PO Box 9600, 2300 RC Leiden, Netherlands.
Charla C EngelsDepartment of Surgery, Leiden University Medical Centre, PO Box 9600, 2300 RC Leiden, Netherlands.
Peter J K KuppenDepartment of Surgery, Leiden University Medical Centre, PO Box 9600, 2300 RC Leiden, Netherlands.
Cornelis J H van de VeldeDepartment of Surgery, Leiden University Medical Centre, PO Box 9600, 2300 RC Leiden, Netherlands.
Gerrit J LiefersDepartment of Surgery, Leiden University Medical Centre, PO Box 9600, 2300 RC Leiden, Netherlands.
Leiden University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is a leading cause of death worldwide. Great efforts are dedicated to the development of prognostic and predictive biomarkers to improve diagnosis and achieve optimal treatment selection, thereby, introducing precision medicine in the multimodality treatment of cancer. Genomic aberrations are the basis of tumour development, representing excellent candidates for the development of promising clinical biomarkers. Over the past decade, single-gene mutations and genomic profiling have been increasingly used in multidisciplinary consultations for risk-assessment and treatment planning for patients with cancer. We discuss the impact of such genetic-based information on surgical decision-making. Single-gene mutations have already influenced surgical decision-making in breast, colorectal and thyroid cancer. However, the direct impact of genomic profiling on surgical care has not yet been fully established. We discuss the direct and indirect influences of genomic profiling on surgery, and analyse the limitations and unresolved issues of a genotypic-approach to the surgical management of cancer.

Indexed as

Genetic VariationGenome, HumanGenomicsHumansMutationNeoplasmsPatient SelectionPrecision MedicinePrognosisSequence Analysis, DNA

Identifiers

PMID24958181
OpenAlexW1992075195

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.