Evidence map›Paper›PMID 32903904›Full record

ReviewGastrointestinal tumors2020

Non-Invasive Colorectal Cancer Screening: An Overview.

Melanie Tepus, Tung On Yau

Open access · goldAbstract readReview
In one paragraph

Review in Gastrointestinal tumors, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 4 pooled it
5.5field-weighted citation impact, top 3% 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

66 citing papers in PubMed, 4 syntheses or guidelines pooled it, 103 citations in OpenAlex.

  1. Pooled it
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  4. Pooled it
  5. Trial
  6. Article
  7. Review
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  12. World journal of clinical oncology · 2025
    Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Biomarkers in Colorectal Cancer: Actual and Future Perspectives.International journal of molecular sciences · 2024
    Review
  18. Review
  19. Review
  20. Challenges in IBD Research 2024: Precision Medicine.Inflammatory bowel diseases · 2024
    Review

6 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Melanie TepusJohn van Geest Cancer Research Centre, School of Science and Technology, Nottingham Trent University, Nottingham, United Kingdom.
Tung On YauJohn van Geest Cancer Research Centre, School of Science and Technology, Nottingham Trent University, Nottingham, United Kingdom.
Nottingham Trent University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) follows a protracted stepwise progression, from benign adenomas to malignant adenocarcinomas. If detected early, 90% of deaths are preventable. However, CRC is asymptomatic in its early-stage and arises sporadically within the population. Therefore, CRC screening is a public health priority. SUMMARY: Faecal immunochemical test (FIT) is gradually replacing guaiac faecal occult blood test and is now the most commonly used screening tool for CRC screening program globally. However, FIT is still limited by the haemoglobin degradation and the intermittent bleeding patterns, so that one in four CRC cases are still diagnosed in a late stage, leading to poor prognosis. A multi-target stool DNA test (Cologuard, a combination of KEY MESSAGE: Maximising the detection accuracy with a cost-effective approach for non-invasive CRC screening is urgently needed to further reduce the incidence of CRC and associated mortality rates.

Indexed as

Colorectal cancer screeningDiagnostic biomarkersGut microbiotamicroRNATumour biomarkers

Identifiers

PMID32903904
PMCPMC7445682
OpenAlexW3026492376

What OpenQuestion holds

Textmetadata
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.