Evidence map›Paper›PMID 28316053›Full record

ReviewMedical oncology (Northwood, London, England)2017

The use of rapid and cost-effective blood-based biomarkers in combination with tumour TNM stage for individual head and neck cancer patient treatment selection.

Nongnit Laytragoon Lewin, Freddi Lewin, Bengt-Åke Andersson, Sture Löfgren, Lars Erik Rutqvist

Open access · hybridAbstract readReview
In one paragraph

Review in Medical oncology (Northwood, London, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 2 institutions in 1 country.

Nongnit Laytragoon LewinDivision of Medical Diagnostic, Ryhov Hospital, 55322, Jönköping, Sweden. nongnit.lewin@rjl.se.ORCID http://orcid.org/0000-0001-6815-4530
Freddi LewinDepartment of Oncology, Ryhov Hospital, 55322, Jönköping, Sweden.
Bengt-Åke AnderssonDivision of Medical Diagnostic, Ryhov Hospital, 55322, Jönköping, Sweden.
Sture LöfgrenDivision of Medical Diagnostic, Ryhov Hospital, 55322, Jönköping, Sweden.
Lars Erik RutqvistSwedish Match AB, 11885, Stockholm, Sweden.
Linköping University · SERyhov Hospital Jönköping · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Head and neck (H&N) cancer is an aggressive disease and the incidence has increased in younger population worldwide. Tumour TNM staging is the main basis for treatment decision despite significant variation in clinical outcome. Survival time of these patients has marginally improved during the last 30 years. Various biomarkers with cumbersome analysis, high cost, time consumption and requirement of special laboratory facilities have been investigated. However, none of these biomarkers have been shown to be suitable to use for individual H&N cancer patient treatment selection in the clinic. For practical use in clinical settings, the given biomarkers must be simple to analyse, rapid, cost effective and available in routine laboratories. With this intension, we suggested the combination of standard TNM staging and biomarkers associated with inflammation such as neutrophils, neutrophil to lymphocyte ratio, plasma C-reactive protein or plasma tumour necrosis factor alpha (TNFa) and single-nucleotide polymorphism in TNFa rs1800629 using blood-based analysis. The optimal treatment outcome of H&N cancer by using combination of TNM stage and these blood-based biomarkers for individual patient selection need further investigation.

Indexed as

Biomarkers, TumorCarcinoma, Squamous CellHead and Neck NeoplasmsHumansNeoplasm StagingSquamous Cell Carcinoma of Head and NeckBiomarkers, TumorHead and neck cancerIndividualized treatment selectionInflammationSingle-nucleotide polymorphism

Identifiers

PMID28316053
PMCPMC5357467
OpenAlexW2595005989

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.