Evidence map›Paper›PMID 32932734›Full record

ArticleCancers2020

Triage May Improve Selection to Colonoscopy and Reduce the Number of Unnecessary Colonoscopies.

Mathias M Petersen, Linnea Ferm, Jakob Kleif, Thomas B Piper, Eva Rømer, Ib J Christensen, Hans J Nielsen

Abstract read
In one paragraph

Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
–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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. 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

7 authors.

Mathias M PetersenDepartment of Surgical Gastroenterology, Hvidovre Hospital, 2650 Hvidovre, Denmark.
Linnea FermDepartment of Surgical Gastroenterology, Hvidovre Hospital, 2650 Hvidovre, Denmark.
Jakob KleifDepartment of Surgical Gastroenterology, Hvidovre Hospital, 2650 Hvidovre, Denmark.
Thomas B PiperDepartment of Surgical Gastroenterology, Hvidovre Hospital, 2650 Hvidovre, Denmark.
Eva RømerDepartment of Surgical Gastroenterology, Hvidovre Hospital, 2650 Hvidovre, Denmark.
Ib J ChristensenDepartment of Surgical Gastroenterology, Hvidovre Hospital, 2650 Hvidovre, Denmark.
Hans J NielsenDepartment of Surgical Gastroenterology, Hvidovre Hospital, 2650 Hvidovre, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Implementation of population screening for colorectal cancer by direct colonoscopy or follow-up colonoscopy after a positive fecal blood test has challenged the overall capacity of bowel examinations. Certain countries are facing serious colonoscopy capacity constraints, which have led to waiting lists and long time latency of follow-up examinations. Various options for improvement are considered, including increased cut-off values of the fecal blood tests. Results from major clinical studies of blood-based, cancer-associated biomarkers have, however, led to focus on a Triage concept for improved selection to colonoscopy. The Triage test may include subject age, concentration of hemoglobin in a feces test and a combination of certain blood-based cancer-associated biomarkers. Recent results have indicated that Triage may reduce the requirements for colonoscopy by around 30%. Such results may be advantageous for the capacity, the healthcare budgets and in particular, the subjects, who do not need an unnecessary, unpleasant and risk-associated bowel examination.

Indexed as

biomarkerscolonoscopycolorectal cancerearly detectionfeces testingscreeningtriage

Identifiers

PMID32932734
PMCPMC7563245

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.