Evidence map›Paper›PMID 35287679›Full record

ArticleBMC medicine2022

Combining faecal immunochemical testing with blood test results for colorectal cancer risk stratification: a consecutive cohort of 16,604 patients presenting to primary care.

Diana R Withrow, Brian Shine, Jason Oke, Andres Tamm, Tim James, Eva Morris, Jim Davies, Steve Harris, James E East, Brian D Nicholson

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
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  5. Article
  6. Article
  7. Article
  8. Review
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  10. Review
  11. Guidance on faecal immunochemical testing (FIT) to help diagnose colorectal cancer among symptomatic patients in primary care.The British journal of general practice : the journal of the Royal College of General Practitioners · 2023
    Article
  12. 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

10 authors at 3 institutions in 1 country.

Diana R WithrowNuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Observatory Quarter, Oxford, OX2 6GG, UK.ORCID 0000-0002-9757-040X
Brian ShineDepartment of Clinical Biochemistry, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation, Oxford, UK.ORCID 0000-0002-1016-8638
Jason OkeNuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Observatory Quarter, Oxford, OX2 6GG, UK.ORCID 0000-0003-3467-6677
Andres TammNuffield Department of Population Health, Big Data Institute, University of Oxford, Oxford, UK.ORCID 0000-0003-0770-998X
Tim JamesDepartment of Computer Science, Big Data Institute, University of Oxford, Oxford, UK.ORCID 0000-0002-5382-9838
Eva MorrisNuffield Department of Population Health, Big Data Institute, University of Oxford, Oxford, UK.ORCID 0000-0002-1075-6544
Jim DaviesDepartment of Computer Science, Big Data Institute, University of Oxford, Oxford, UK.ORCID 0000-0003-4664-6862
Steve HarrisOxford BRC Informatics Theme, Big Data Institute, University of Oxford, Oxford, UK.ORCID 0000-0002-0899-325X
James E EastTranslational Gastroenterology Unit, and Oxford NIHR Biomedical Research Centre, John Radcliffe Hospital, University of Oxford, Oxford, UK.ORCID 0000-0001-8035-3700
Brian D NicholsonNuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Observatory Quarter, Oxford, OX2 6GG, UK. brian.nicholson@phc.ox.ac.uk.ORCID 0000-0003-0661-7362
University of Oxford · GBJohn Radcliffe Hospital · GBOpen Data Institute · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFaecal immunochemical tests (FITs) are used to triage primary care patients with symptoms that could be caused by colorectal cancer for referral to colonoscopy. The aim of this study was to determine whether combining FIT with routine blood test results could improve the performance of FIT in the primary care setting.

methodsResults of all consecutive FITs requested by primary care providers between March 2017 and December 2020 were retrieved from the Oxford University Hospitals NHS Foundation Trust. Demographic factors (age, sex), reason for referral, and results of blood tests within 90 days were also retrieved. Patients were followed up for incident colorectal cancer in linked hospital records. The sensitivity, specificity, positive and negative predictive values of FIT alone, FIT paired with blood test results, and several multivariable FIT models, were compared.

resultsOne hundred thirty-nine colorectal cancers were diagnosed (0.8%). Sensitivity and specificity of FIT alone at a threshold of 10 μg Hb/g were 92.1 and 91.5% respectively. Compared to FIT alone, blood test results did not improve the performance of FIT. Pairing blood test results with FIT increased specificity but decreased sensitivity. Multivariable models including blood tests performed similarly to FIT alone.

conclusionsFIT is a highly sensitive tool for identifying higher risk individuals presenting to primary care with lower risk symptoms. Combining blood test results with FIT does not appear to lead to better discrimination for colorectal cancer than using FIT alone.

Indexed as

Colorectal NeoplasmsEarly Detection of CancerColonoscopyHumansOccult BloodPrimary Health CareColorectal neoplasmsFaecal immunochemical testsFull blood countPredictive value of testsPrimary health careTriage

Identifiers

PMID35287679
PMCPMC8920746
OpenAlexW4220713744

What OpenQuestion holds

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LicenceCC BY
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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.