Evidence map›Paper›PMID 38378802›Full record

ArticleScientific reports2024

Construction and optimization of multi-platform precision pathways for precision medicine.

Andy Tran, Andy Wang, Jamie Mickaill, Dario Strbenac, Mark Larance, Stephen T Vernon, Stuart M Grieve, Gemma A Figtree, Ellis Patrick, Jean Yee Hwa Yang

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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

10 authors.

Andy TranSchool of Mathematics and Statistics, The University of Sydney, Camperdown, NSW, Australia.
Andy WangWestmead Medical Institute, Westmead, NSW, Australia.
Jamie MickaillSchool of Mathematics and Statistics, The University of Sydney, Camperdown, NSW, Australia.
Dario StrbenacSchool of Mathematics and Statistics, The University of Sydney, Camperdown, NSW, Australia.
Mark LaranceCharles Perkins Centre, The University of Sydney, Camperdown, NSW, Australia.
Stephen T VernonCharles Perkins Centre, The University of Sydney, Camperdown, NSW, Australia.
Stuart M GrieveCharles Perkins Centre, The University of Sydney, Camperdown, NSW, Australia.
Gemma A FigtreeCharles Perkins Centre, The University of Sydney, Camperdown, NSW, Australia.
Ellis PatrickSchool of Mathematics and Statistics, The University of Sydney, Camperdown, NSW, Australia.
Jean Yee Hwa YangSchool of Mathematics and Statistics, The University of Sydney, Camperdown, NSW, Australia. jean.yang@sydney.edu.au.

Funding

Australian Government Research Training Program Stipend ScholarshipInnovation and Technology Commission - Hong Kong AIR@innoHK programmeNational Health and Medical Research Council APP11359290
6 · The paper itself

Abstract

In the enduring challenge against disease, advancements in medical technology have empowered clinicians with novel diagnostic platforms. Whilst in some cases, a single test may provide a confident diagnosis, often additional tests are required. However, to strike a balance between diagnostic accuracy and cost-effectiveness, one must rigorously construct the clinical pathways. Here, we developed a framework to build multi-platform precision pathways in an automated, unbiased way, recommending the key steps a clinician would take to reach a diagnosis. We achieve this by developing a confidence score, used to simulate a clinical scenario, where at each stage, either a confident diagnosis is made, or another test is performed. Our framework provides a range of tools to interpret, visualize and compare the pathways, improving communication and enabling their evaluation on accuracy and cost, specific to different contexts. This framework will guide the development of novel diagnostic pathways for different diseases, accelerating the implementation of precision medicine into clinical practice.

Indexed as

CommunicationPrecision MedicineMental Processes

Identifiers

PMID38378802
PMCPMC10879206

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.