Evidence map›Paper›PMID 34065545›Full record

ArticleMicroorganisms2021

Differences in the On- and Off-Tumor Microbiota between Right- and Left-Sided Colorectal Cancer.

Oliver Phipps, Mohammed N Quraishi, Edward A Dickson, Helen Steed, Aditi Kumar, Austin G Acheson, Andrew D Beggs, Matthew J Brookes, Hafid Omar Al-Hassi

Abstract read
In one paragraph

Article in Microorganisms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

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  19. Article
  20. Molecular genetics of early-onset colorectal cancer.World journal of biological chemistry · 2023
    Review
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

9 authors.

Oliver PhippsResearch Institute in Healthcare Science, Faculty of Science and Engineering, University of Wolverhampton, Wolverhampton WV1 1LY, UK.ORCID 0000-0003-4588-4869
Mohammed N QuraishiSurgical Research Laboratory, Institute of Cancer & Genomic Science, University of Birmingham, Birmingham B15 2TQ, UK.
Edward A DicksonNIHR Biomedical Research Centre in Gastrointestinal and Liver Diseases, Nottingham University Hospitals NHS Trust, Nottingham NG7 2UH, UK.
Helen SteedResearch Institute in Healthcare Science, Faculty of Science and Engineering, University of Wolverhampton, Wolverhampton WV1 1LY, UK.
Aditi KumarResearch Institute in Healthcare Science, Faculty of Science and Engineering, University of Wolverhampton, Wolverhampton WV1 1LY, UK.ORCID 0000-0003-1026-3173
Austin G AchesonNIHR Biomedical Research Centre in Gastrointestinal and Liver Diseases, Nottingham University Hospitals NHS Trust, Nottingham NG7 2UH, UK.
Andrew D BeggsSurgical Research Laboratory, Institute of Cancer & Genomic Science, University of Birmingham, Birmingham B15 2TQ, UK.ORCID 0000-0003-0784-2967
Matthew J BrookesResearch Institute in Healthcare Science, Faculty of Science and Engineering, University of Wolverhampton, Wolverhampton WV1 1LY, UK.ORCID 0000-0002-8782-0292
Hafid Omar Al-HassiResearch Institute in Healthcare Science, Faculty of Science and Engineering, University of Wolverhampton, Wolverhampton WV1 1LY, UK.ORCID 0000-0002-5119-7793

Funding

Research for Patient Benefit Programme PB-PG-0110-21041
6 · The paper itself

Abstract

This study aims to determine differences in the on- and off-tumor microbiota between patients with right- and left-sided colorectal cancer. Microbiome profiling of tumor and tumor-adjacent biopsies from patients with right-sided (

Indexed as

16S rRNAgut microbiomeproximal and distal colonright- and left-sided colorectal cancertumor microbiota

Identifiers

PMID34065545
PMCPMC8160982

What OpenQuestion holds

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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.