Evidence map›Paper›PMID 28028763›Full record

ArticleJournal of medical systems2017

Building a Personalized Cancer Treatment System.

Alexandra Martinez, Gustavo López, Constantino Bola Nos, Daniel Alvarado, Andrés Solano, Mariana López, Andrés Báez, Steve Quirós, Rodrigo Mora

Abstract read
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In one paragraph

Article in Journal of medical systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Alexandra MartinezEscuela de Ciencias de la Computación e Informática (ECCI), Universidad de Costa Rica, San José, Costa Rica. alexandra.martinez@ecci.ucr.ac.cr.
Gustavo LópezCentro de Investigaciones en Tecnologías de la Información y Comunicación (CITIC), Universidad de Costa Rica, San José, Costa Rica.
Constantino Bola NosCentro de Investigaciones en Tecnologías de la Información y Comunicación (CITIC), Universidad de Costa Rica, San José, Costa Rica.
Daniel AlvaradoCentro de Investigaciones en Tecnologías de la Información y Comunicación (CITIC), Universidad de Costa Rica, San José, Costa Rica.
Andrés SolanoCentro de Investigaciones en Tecnologías de la Información y Comunicación (CITIC), Universidad de Costa Rica, San José, Costa Rica.
Mariana LópezCentro de Investigaciones en Tecnologías de la Información y Comunicación (CITIC), Universidad de Costa Rica, San José, Costa Rica.
Andrés BáezHospital Rafael Ángel Calderón Guardia, San José, Costa Rica.
Steve QuirósCentro de Investigación en Enfermedades Tropicales, Facultad de Microbiología (CIET), Universidad de Costa Rica, San José, Costa Rica.
Rodrigo MoraCentro de Investigación en Enfermedades Tropicales, Facultad de Microbiología (CIET), Universidad de Costa Rica, San José, Costa Rica.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper reports the process by which a personalized cancer treatment system was built, following a user-centered approach. We give some background on personalized cancer treatment, the particular tumor chemosensitivity assay supported by the system, as well as some quality and legal issues related to such health systems. We describe how Contextual Design was applied when building the system. Contextual design is a user-centered design technique involving seven steps. We also provide some details about the system implementation. Finally, we explain how the Think-Aloud protocol and Heuristic Evaluation methods were used to evaluate the system and report its results. A qualitative assessment from the users perspective is also provided. Results from the heuristic evaluation indicate that only one of ten heuristics was missing from the system, while five were partially covered and four were fully covered.

Indexed as

Adenosine TriphosphateDrug Screening Assays, AntitumorEquipment DesignHumansNeoplasmsPrecision MedicineUser-Computer InterfaceAdenosine TriphosphateATP assayContextual designHeuristic evaluationPersonalized cancer treatmentThink-aloud

Identifiers

What OpenQuestion holds

Textmetadata
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.