Evidence map›Paper›PMID 32887589›Full record

ArticleBMC medical informatics and decision making2020

Online Cost-Effectiveness ANalysis (OCEAN): a user-friendly interface to conduct cost-effectiveness analyses for cervical cancer.

David Moriña, José Ignacio Martí, Pedro Puig, Mireia Diaz

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medical informatics and decision making, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 86% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Web-based models to inform health policy: A scoping review.Health research policy and systems · 2025
    Article
  2. 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

4 authors at 2 institutions in 1 country.

David MoriñaBarcelona Graduate School of Mathematics (BGSMath), Barcelona, Spain. dmorina@mat.uab.cat.ORCID 0000-0001-5949-7443
José Ignacio MartíUnit of Infections and Cancer - Information and Interventions (UNIC-I&I), Cancer Epidemiology Research Program (CERP), Catalan Institute of Oncology (ICO)-IDIBELL, Barcelona, Spain.
Pedro PuigBarcelona Graduate School of Mathematics (BGSMath), Barcelona, Spain.
Mireia DiazUnit of Infections and Cancer - Information and Interventions (UNIC-I&I), Cancer Epidemiology Research Program (CERP), Catalan Institute of Oncology (ICO)-IDIBELL, Barcelona, Spain.
Institut Català d'Oncologia · ESUniversitat Autònoma de Barcelona · ES

Funding

Agència de Gestió d'Ajuts Universitaris i de Recerca 2017SGR1718Fundación Banco Santander MDM-2014-0445Instituto de Salud Carlos III PI11/02090Instituto de Salud Carlos III PI14/01219Instituto de Salud Carlos III PI16/01254Instituto de Salud Carlos III PI16/01254 (CECO: 17FIS012)Instituto de Salud Carlos III PIE16/00049Instituto de Salud Carlos III RD12/0036/0056"la Caixa" Foundation (ES) 2015ACUP00129Ministerio de Ciencia, Innovación y Universidades RTI2018-096072-B-I00Ministerio de Economía y Competitividad MDM-2014-0445Seventh Framework Programme Health- F3-2013-603019
6 · The paper itself

Abstract

backgroundMost cost-effectiveness analyses in the context of cervical cancer prevention involve the use of mathematical models to simulate HPV infection, cervical disease and prevention strategies. However, it is common for professionals who would need to perform these analyses to not be familiar with the models. This work introduces the Online Cost-Effectiveness ANalysis tool, featuring an easy-to-use web interface providing health professionals, researchers and decision makers involved in cervical cancer prevention programmes with a useful instrument to conduct complex cost-effectiveness analyses, which are becoming an essential tool as an approach for supporting decision-making that involves important trade-offs.

resultsThe users can run cost-effectiveness evaluations of cervical cancer prevention strategies without deep knowledge of the underlying mathematical model or any programming language, obtaining the most relevant costs and health outcomes in a user-friendly format. The results provided by the tool are consistent with the existing literature.

conclusionsHaving such a tool will be an asset to the cervical cancer prevention community, providing researchers with an easy-to-use instrument to conduct cost-effectiveness analyses.

Indexed as

Decision Support TechniquesModels, TheoreticalCost-Benefit AnalysisFemaleHuman papillomavirus 16Human papillomavirus 18HumansMass ScreeningPapillomavirus InfectionsUterine Cervical NeoplasmsVaginal Smearscancer preventionCervical cancer screeningCost-effectivenessDecision makingMarkov chain modelOnline tool

Identifiers

PMID32887589
PMCPMC7487926
OpenAlexW3083489168

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.