Evidence map›Paper›PMID 30985589›Full record

ArticleMedical care2019

A PRO-cision Medicine Methods Toolkit to Address the Challenges of Personalizing Cancer Care Using Patient-Reported Outcomes: Introduction to the Supplement.

Claire Snyder, Michael Brundage, Yonaira M Rivera, Albert W Wu

Abstract read
In one paragraph

Article in Medical care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. The Effects of an Online Patient Portal on Nurses' and the Health Care Team's Work in an Outpatient Oncology Setting: A Qualitative Study.The Canadian journal of nursing research = Revue canadienne de recherche en sciences infirmieres · 2026
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  14. Knowledge translation resources to support the use of quality of life assessment tools for the care of older adults living at home and their family caregivers.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022
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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

4 authors.

Claire SnyderJohns Hopkins School of Medicine.
Michael BrundageQueen's Cancer Research Institute, Kingston, ON, Canada.
Yonaira M RiveraJohns Hopkins Bloomberg School of Public Health.
Albert W WuJohns Hopkins School of Medicine.

Funding

INSTITUTIONAL RESEARCH CANCER EPIDEMIOLOGY FELLOWSHIPT32CA009314 · NCI · JOHNS HOPKINS UNIVERSITY · PI Corinne E. Joshu, Meghan Bridgid Moran · 1985 to 2026
$11.2M
NCI NIH HHS T32 CA009314
6 · The paper itself

Abstract

Patients are increasingly being asked to complete standardized, validated questionnaires with regard to their symptoms, functioning, and well-being [ie, patient-reported outcomes (PROs)] as part of routine care. These PROs can be used to inform patients' care and management, which we refer to as "PRO-cision Medicine." For PRO-cision Medicine to be most effective, clinicians and patients need to be able to understand what the PRO scores mean and how to act on the PRO results. The papers in this supplement to Medical Care describe various methods that have been used to address these issues. Specifically, the supplement includes 14 papers: 6 describe different methods for interpreting PROs and 8 describe how different PRO systems have addressed interpreting PRO scores and/or acting on PRO results. As such, this "Methods Toolkit" can inform clinicians and researchers aiming to implement routine PRO reporting into clinical practice by providing methodological fundamentals and real-world examples to promote personalized patient care.

Indexed as

Patient Reported Outcome MeasuresData CollectionHumansNeoplasmsPrecision Medicine

Identifiers

PMID30985589
PMCPMC7400766

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Registered trials

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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.