Evidence map›Paper›PMID 26714765›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2016

Patient-generated health data: a pathway to enhanced long-term cancer survivorship.

Carolyn Petersen

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.9field-weighted citation impact, top 12% 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

22 citing papers in PubMed, 34 citations in OpenAlex.

  1. Observational
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  16. Taking Systems Medicine to Heart.Circulation research · 2018
    Review
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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

1 author at 1 institution in 1 country.

Carolyn PetersenGlobal Business Solutions - BB 7, Mayo Clinic, 200 First St. SW, Rochester, MN 55905, USA petersen.carolyn@mayo.edu.
Mayo Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growing ability to collect and transmit patient-generated health data, also referred to as people-generated health data and patient-reported outcomes, is creating an opportunity to greatly improve how cancer survivors and their providers manage survivors' health in the months and years following cancer treatment. Although cancer survivors are at higher risk of chronic health problems and early death as a result of cancer treatment, some experience difficulty identifying and receiving the care they need to optimize their health post-treatment. This article describes the challenges that cancer survivors and their providers face in managing survivors' care and identifies several ways that using patient-generated health data can improve survivors' and providers' ability to manage survivorship care at the individual and population levels.

Indexed as

Cancer SurvivorsPatient Generated Health DataPatient ParticipationSelf-ManagementHumansNeoplasmsPatient Reported Outcome MeasuresPrecision MedicineSelf ReportSurvivorshipcancer survivorshippatient-generated health datapatient outcome assessmentpatient participationsurvivors

Identifiers

PMID26714765
PMCPMC11740755
OpenAlexW2212679986

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.