Evidence map›Paper›PMID 39344882›Full record

SynthesisMolecular oncology2024

Where do we stand with screening for colorectal cancer and advanced adenoma based on serum protein biomarkers? A systematic review.

Adrien Grancher, Steven Cuissy, Hélène Girot, André Gillibert, Frédéric Di Fiore, Lydia Guittet

Abstract readSystematic Review
In one paragraph

Synthesis in Molecular oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Adrien GrancherU1086 "ANTICIPE" INSERM-University of Caen Normandy, Centre François Baclesse, Caen, France.ORCID 0000-0003-2338-891X
Steven CuissyDepartment of Hepato-Gastroenterology and Digestive Oncology, Rouen University Hospital, France.
Hélène GirotDepartment of Medical Biochemistry, Rouen University Hospital, France.
André GillibertDepartment of Biostatistics, Rouen University Hospital, France.
Frédéric Di FioreDepartment of Hepato-Gastroenterology and Digestive Oncology, Rouen University Hospital, France.
Lydia GuittetU1086 "ANTICIPE" INSERM-University of Caen Normandy, Centre François Baclesse, Caen, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) screening has been proven to reduce both mortality and the incidence of this disease. Most CRC screening programs are based on fecal immunochemical tests (FITs), which have a low participation rate. Searching for blood protein biomarkers can lead to the development of a more accepted screening test. The aim of this systematic review was to compare the diagnostic potential of the most promising serum protein biomarkers. A systematic review based on PRISMA guidelines was conducted in the PubMed and Web of Science databases between January 2010 and December 2023. Studies assessing blood protein biomarkers for CRC screening were included. The sensitivity, specificity, and area under the ROC curve of each biomarker were collected. Among 4685 screened studies, 94 were considered for analysis. Most of them were case-control studies, leading to an overestimation of the performance of candidate biomarkers. The performance of no protein biomarker or combination of biomarkers appears to match that of the FIT. Studies with a suitable design and population, testing new assay techniques, or based on algorithms combining FIT with serum tests are needed.

Indexed as

AdenomaBiomarkers, TumorBlood ProteinsColorectal NeoplasmsEarly Detection of CancerHumansBiomarkers, TumorBlood Proteinscolorectal cancerprotein biomarkersscreeningserum

Identifiers

PMID39344882
PMCPMC11547240

What Socratic holds

Textmetadata
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 Socratic graph.