Evidence map›Paper›PMID 26063755›Full record

ReviewGut2015

The value of models in informing resource allocation in colorectal cancer screening: the case of The Netherlands.

Frank van Hees, Ann G Zauber, Harriët van Veldhuizen, Marie-Louise A Heijnen, Corine Penning, Harry J de Koning, Marjolein van Ballegooijen, Iris Lansdorp-Vogelaar

Abstract readReview
In one paragraph

Review in Gut, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

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

  1. Simulation modeling validity and utility in colorectal cancer screening delivery: A systematic review.Journal of the American Medical Informatics Association : JAMIA · 2020
    Pooled it
  2. Atencion primaria · 2018
    Guideline
  3. Modeling in Colorectal Cancer Screening: Assessing External and Predictive Validity of MISCAN-Colon Microsimulation Model Using NORCCAP Trial Results.Medical decision making : an international journal of the Society for Medical Decision Making · 2018
    Trial
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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

8 authors.

Frank van HeesDepartment of Public Health, Erasmus MC, Rotterdam, The Netherlands.
Ann G ZauberDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Harriët van VeldhuizenDepartment of Quality Improvement, Erasmus MC, Rotterdam, The Netherlands National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
Marie-Louise A HeijnenNational Institute for Public Health and the Environment, Bilthoven, The Netherlands.
Corine PenningDepartment of Public Health, Erasmus MC, Rotterdam, The Netherlands.
Harry J de KoningDepartment of Public Health, Erasmus MC, Rotterdam, The Netherlands.
Marjolein van BallegooijenDepartment of Public Health, Erasmus MC, Rotterdam, The Netherlands.
Iris Lansdorp-VogelaarDepartment of Public Health, Erasmus MC, Rotterdam, The Netherlands.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Modeling Effective Health Policies for Colorectal CancerU01CA152959 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI KUNTZ, KAREN M, LANSDORP-VOGELAAR, IRIS · 2010 to 2014
$5.4M
NCI NIH HHS P30 CA008748NCI NIH HHS U01 CA152959NCI NIH HHS U01CA152959
6 · The paper itself

Abstract

In May 2011, the Dutch government decided to implement a national programme for colorectal cancer (CRC) screening using biennial faecal immunochemical test screening between ages 55 and 75. Decision modelling played an important role in informing this decision, as well as in the planning and implementation of the programme afterwards. In this overview, we illustrate the value of models in informing resource allocation in CRC screening using the role that decision modelling has played in the Dutch CRC screening programme as an example.

Indexed as

Decision Support TechniquesEarly Detection of CancerOccult BloodColorectal NeoplasmsHumansNetherlandsProgram DevelopmentResource AllocationCOLORECTAL CANCER SCREENINGCOST-EFFECTIVENESS

Identifiers

PMID26063755
PMCPMC4672636

What OpenQuestion holds

Textmetadata
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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.