Evidence map›Paper›PMID 37426885›Full record

SynthesisGerman medical science : GMS e-journal2023

Stool DNA testing for early detection of colorectal cancer: systematic review using the HTA Core Model

Heidi Stürzlinger, Annette Conrads-Frank, Alexander Eisenmann, Sarah Invansits, Beate Jahn, Andrej Janzic, Marjetka Jelenc, Tatja Kostnapfel, Simona Mencej Bedrac, Nikolai Mühlberger and 3 more

Open access · greenAbstract readSystematic Review
In one paragraph

Synthesis in German medical science : GMS e-journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 3 pooled it
0.7field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 3 syntheses or guidelines pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Review
  6. Review
  7. 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

13 authors at 3 institutions in 2 countries.

Heidi StürzlingerAustrian Public Health Institute (GOEG), Vienna, Austria.
Annette Conrads-FrankDepartment of Public Health, Health Services Research and Health Technology Assessment, UMIT TIROL - University for Health Sciences, Medical Informatics and Technology, Hall i.T., Austria.
Alexander EisenmannAustrian Public Health Institute (GOEG), Vienna, Austria.
Sarah InvansitsAustrian Public Health Institute (GOEG), Vienna, Austria.
Beate JahnDepartment of Public Health, Health Services Research and Health Technology Assessment, UMIT TIROL - University for Health Sciences, Medical Informatics and Technology, Hall i.T., Austria.
Andrej JanzicAgency for Medicinal Products and Medical Devices of the Republic of Slovenia (JAZMP), Ljubljana, Slovenia.
Marjetka JelencNational Institute of Public Health (NIJZ), Ljubljana, Slovenia.
Tatja KostnapfelNational Institute of Public Health (NIJZ), Ljubljana, Slovenia.
Simona Mencej BedracAgency for Medicinal Products and Medical Devices of the Republic of Slovenia (JAZMP), Ljubljana, Slovenia.
Nikolai MühlbergerDepartment of Public Health, Health Services Research and Health Technology Assessment, UMIT TIROL - University for Health Sciences, Medical Informatics and Technology, Hall i.T., Austria.
Uwe SiebertDepartment of Public Health, Health Services Research and Health Technology Assessment, UMIT TIROL - University for Health Sciences, Medical Informatics and Technology, Hall i.T., Austria.
Gaby SroczynskiDepartment of Public Health, Health Services Research and Health Technology Assessment, UMIT TIROL - University for Health Sciences, Medical Informatics and Technology, Hall i.T., Austria.
European Network for Health Technology Assessment (EUnetHTA)
UMIT - Private Universität für Gesundheitswissenschaften, Medizinische Informatik und Technik · ATGesundheit Österreich · ATNational Institute of Public Health · SI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Stool DNA testing for early detection of colorectal cancer (CRC) is a non-invasive technology with the potential to supplement established CRC screening tests. The aim of this health technology assessment was to evaluate effectiveness and safety of currently CE-marked stool DNA tests, compared to other CRC tests in CRC screening strategies in an asymptomatic screening population. Methods: The assessment was carried out following the guidelines of the European Network for Health Technology Assessment (EUnetHTA). This included a systematic literature search in MED-LINE, Cochrane and EMBASE in 2018. Manufacturers were asked to provide additional data. Five patient interviews helped assessing potential ethical or social aspects and patients' experiences and preferences. We assessed the risk of bias using QUADAS-2, and the quality of the body of evidence using GRADE. Results: We identified three test accuracy studies, two of which investigated a multitarget stool DNA test (Cologuard Conclusions: ColoAlert

Indexed as

AdenomaColorectal NeoplasmsDNA, NeoplasmEarly Detection of CancerGuaiacHumansMass ScreeningOccult BloodTechnology Assessment, BiomedicalDNA, NeoplasmGuaiaccolorectal cancer screeningcolorectal neoplasmsmultitarget stool DNA testsensitivityspecificitytest performance

Identifiers

PMID37426885
PMCPMC10326527
OpenAlexW4383710043

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.