Evidence map›Paper›PMID 33578729›Full record

ArticleCancers2021

Metabolomic Biomarkers for the Detection of Obesity-Driven Endometrial Cancer.

Kelechi Njoku, Amy E Campbell, Bethany Geary, Michelle L MacKintosh, Abigail E Derbyshire, Sarah J Kitson, Vanitha N Sivalingam, Andrew Pierce, Anthony D Whetton, Emma J Crosbie

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Kelechi NjokuDivision of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, 5th Floor Research, St Mary's Hospital, Oxford Road, Manchester M13 9WL, UK.ORCID 0000-0001-6528-3476
Amy E CampbellStoller Biomarker Discovery Centre, Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK.
Bethany GearyStoller Biomarker Discovery Centre, Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK.ORCID 0000-0002-5592-5532
Michelle L MacKintoshDivision of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, 5th Floor Research, St Mary's Hospital, Oxford Road, Manchester M13 9WL, UK.
Abigail E DerbyshireDivision of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, 5th Floor Research, St Mary's Hospital, Oxford Road, Manchester M13 9WL, UK.
Sarah J KitsonDivision of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, 5th Floor Research, St Mary's Hospital, Oxford Road, Manchester M13 9WL, UK.ORCID 0000-0003-2763-7370
Vanitha N SivalingamDivision of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, 5th Floor Research, St Mary's Hospital, Oxford Road, Manchester M13 9WL, UK.
Andrew PierceWolfson Molecular Imaging Centre, Division of Cancer Sciences, University of Manchester, Palatine Road, Manchester M20 3LJ, UK.
Anthony D WhettonStoller Biomarker Discovery Centre, Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK.
Emma J CrosbieDivision of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, 5th Floor Research, St Mary's Hospital, Oxford Road, Manchester M13 9WL, UK.ORCID 0000-0003-0284-8630
Manchester Academic Health Science Centre · GBUniversity of Manchester · GB

Funding

Cancer Research UK C5759/A25254Department of Health NIHR-CS-012-009Manchester Biomedical Research Centre IS-BRC-1215-20007Medical Research Council MR/M008959/1Medical Research Council MR/N00583X/1
6 · The paper itself

Abstract

Endometrial cancer is the most common malignancy of the female genital tract and a major cause of morbidity and mortality in women. Early detection is key to ensuring good outcomes but a lack of minimally invasive screening tools is a significant barrier. Most endometrial cancers are obesity-driven and develop in the context of severe metabolomic dysfunction. Blood-derived metabolites may therefore provide clinically relevant biomarkers for endometrial cancer detection. In this study, we analysed plasma samples of women with body mass index (BMI) ≥30kg/m

Indexed as

artificial intelligenceendometrial cancerliquid biopsymass spectrometrymetabolomicsobesityplasma biomarkers

Identifiers

PMID33578729
PMCPMC7916512
OpenAlexW3128646573

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.