Evidence map›Paper›PMID 32151116›Full record

ArticleTurkish journal of medical sciences2020

Efficacy of the population-based pilot colorectal cancer screening, Csongrád county, Hungary, 2015

Mariann Rutka, Renáta Bor, Tamás Molnár, Klaudia Farkas, Daniella Pigniczki, Anna Fábián, Márk Györffy, Anita Bálint, Ágnes Milassin, Mónika Szücs and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Turkish journal of medical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.2field-weighted citation impact, top 49% 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, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Colorectal cancer: local results and significance in Hungary.Journal of gastrointestinal oncology · 2024
    Article
  4. Review
  5. Article
  6. Article
  7. Review
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 1 institution in 1 country.

Mariann Rutka1st Department of Internal Medicine, Faculty of Medicine, University of Szeged, Szeged, HungaryORCID 0000-0003-2360-7836
Renáta Bor1st Department of Internal Medicine, Faculty of Medicine, University of Szeged, Szeged, HungaryORCID 0000-0001-9393-5240
Tamás Molnár1st Department of Internal Medicine, Faculty of Medicine, University of Szeged, Szeged, HungaryORCID 0000-0002-4913-7599
Klaudia Farkas1st Department of Internal Medicine, Faculty of Medicine, University of Szeged, Szeged, HungaryORCID 0000-0003-0599-182X
Daniella Pigniczki1st Department of Internal Medicine, Faculty of Medicine, University of Szeged, Szeged, HungaryORCID 0000-0001-6395-2576
Anna Fábián1st Department of Internal Medicine, Faculty of Medicine, University of Szeged, Szeged, HungaryORCID 0000-0002-0824-7476
Márk Györffy1st Department of Internal Medicine, Faculty of Medicine, University of Szeged, Szeged, HungaryORCID 0000-0002-8658-0469
Anita Bálint1st Department of Internal Medicine, Faculty of Medicine, University of Szeged, Szeged, HungaryORCID 0000-0002-3624-896X
Ágnes Milassin1st Department of Internal Medicine, Faculty of Medicine, University of Szeged, Szeged, HungaryORCID 0000-0001-6902-8915
Mónika SzücsDepartment of Medical Physics and Informatics, Faculty of Science and Informatics, Faculty of Medicine University of Szeged, Szeged, HungaryORCID 0000-0002-8791-9452
László TiszlaviczDepartment of Pathology, Faculty of General Medicine, University of Szeged, Szeged, HungaryORCID 0000-0003-1134-6587
Ferenc Nagy1st Department of Internal Medicine, Faculty of Medicine, University of Szeged, Szeged, HungaryORCID 0000-0003-3741-1818
Zoltán Szepes1st Department of Internal Medicine, Faculty of Medicine, University of Szeged, Szeged, HungaryORCID 0000-0002-9466-8719
University of Szeged · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/aim: In Hungary, a nationwide colorectal screening program is about to be introduced in order to improve the high mortality rate of colorectal cancer (CRC). The aim was to summarize experiences from and assess short-term efficacy of the population- based pilot colorectal screening program in 2015 in Csongrád county, Hungary. Materials and methods: Asymptomatic individuals between the ages of 50 and 70 with average risk of colorectal cancer participated in the program that was based on the two-step screening method: immune fecal blood test and colonoscopy. The short-term efficacy was assessed as the change in total CRC incidence and initial tumor stage in the screening year (2015). Results: 22,130 individuals were invited to participate, and the participation rate was 46.4%. Immune fecal blood test proved to be nonnegative in 1,343 cases (13%), screening colonoscopy was performed in 766 of them (7.5%). Total colonoscopy was performed in 711 individuals. Based on the reports, adenoma was detected in 358 (50.3%) and malignancy in 42 (5.9%) individuals. In the background population, the incidence of colon cancer was higher (183 vs. 228; P = 0.026) and was diagnosed at earlier stage (P = 0.002), while lymph node involvement was lower in 2015 (48.3% vs. 37.1%; P = 0.049). Conclusion: The Csongrád county population-based colorectal cancer screening was evidently successful on the short-term considering participation rate, and the changes in CRC incidence and stage, thus its national extension is necessary.

Indexed as

Occult BloodAgedColonoscopyColorectal NeoplasmsEarly Detection of CancerFemaleHumansHungaryIncidenceMaleMiddle AgedNeoplasm StagingPilot ProjectsProgram Evaluationcolon cancerColorectal cancerimmune fecal blood testscreeningTNM stage

Identifiers

PMID32151116
PMCPMC7379438
OpenAlexW3012448127

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.