Evidence map›Paper›PMID 39338251›Full record

ArticleJournal of personalized medicine2024

Improvements in Clinical Cancer Care Associated with Integration of Personalized Medicine.

Arushi Agarwal, Daryl Pritchard, Alissa Winzeler, Hina Mohammed, Thomas D Brown, Gary G Gustavsen

Abstract read
In one paragraph

Article in Journal of personalized medicine, 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

6 authors.

Arushi AgarwalHealth Advances LLC, San Francisco, CA 94105, USA.
Daryl PritchardPersonalized Medicine Coalition, Washington, DC 20036, USA.ORCID 0000-0003-2675-0371
Alissa WinzelerSyapse, West Chester, PA 19380, USA.
Hina MohammedSyapse, West Chester, PA 19380, USA.ORCID 0000-0002-6600-961X
Thomas D BrownSyapse, West Chester, PA 19380, USA.
Gary G GustavsenHealth Advances LLC, Newton, MA 04266, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile adoption of personalized medicine (PM) continues to increase in clinical oncology, there is limited data connecting the level of PM adoption at a given institution to improved clinical outcomes for patients. The purpose of this study was to analyze the correlation between health care providers' scores on a previously described PM integration framework and two outcome measures: the use of targeted therapy and clinical trial enrollment.

methodsThis study was conducted using real-world data (RWD) from the Syapse

resultsAcross six institutions, a strong correlation between PM integration score and targeted therapy use was observed in metastatic non-small cell lung cancer (mNSCLC) (R

conclusionThe results in these cases suggest that PM integration is a strong indicator of high-quality care practices for both utilization of targeted therapy in more mature PM indications (e.g., mNSCLC) and clinical trial enrollment in more emerging PM indications (e.g., TNBC).

Indexed as

clinical trialsmaturity modelpersonalized medicineprecision medicinetargeted therapies

Identifiers

PMID39338251
PMCPMC11432924

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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.