Evidence map›Paper›PMID 30906545›Full record

ArticleBiomedical reports2019

Identification of diagnostic upper gastrointestinal cancer tissue type-specific urinary biomarkers.

Holger Husi, Marco Fernandes, Richard J Skipworth, Janice Miller, Andrew D Cronshaw, Kenneth C H Fearon, James A Ross

Open access · diamondAbstract read
In one paragraph

Article in Biomedical reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
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  7. Neutrophils in cancer carcinogenesis and metastasis.Journal of hematology & oncology · 2021
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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

7 authors at 3 institutions in 1 country.

Holger HusiDepartment of Diabetes and Cardiovascular Science, University of the Highlands and Islands, Inverness IV2 3JH, UK.
Marco FernandesBHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow G12 8TA, UK.
Richard J SkipworthSchool of Clinical Sciences and Community Health, University of Edinburgh, Edinburgh EH16 4SB, UK.
Janice MillerSchool of Clinical Sciences and Community Health, University of Edinburgh, Edinburgh EH16 4SB, UK.
Andrew D CronshawSchool of Biological Sciences, University of Edinburgh, Edinburgh EH16 4SB, UK.
Kenneth C H FearonSchool of Clinical Sciences and Community Health, University of Edinburgh, Edinburgh EH16 4SB, UK.
James A RossSchool of Clinical Sciences and Community Health, University of Edinburgh, Edinburgh EH16 4SB, UK.
University of Edinburgh · GBUniversity of Glasgow · GBUniversity of the Highlands and Islands · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several potential urinary biomarkers exhibiting an association with upper gastrointestinal tumour growth have been previously identified, of which S100A6, S100A9, rabenosyn-5 and programmed cell death 6-interacting protein (PDCD6IP) were further validated and found to be upregulated in malignant tumours. The cancer cohort from our previous study was subclassified to assess whether distinct molecular markers can be identified for each individual cancer type using a similar approach. Urine samples from patients with cancers of the stomach, oesophagus, oesophagogastric junction or pancreas were analysed by surface-enhanced laser desorption/ionization-time-of-flight mass spectrometry using both CM10 and IMAC30 (Cu

Indexed as

mass spectrometrypancreatic cancerSELDI-TOFupper gastrointestinal cancerurine biomarker

Identifiers

PMID30906545
PMCPMC6423495
OpenAlexW2911593490

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.