Evidence map›Paper›PMID 32543897›Full record

ArticleJCO clinical cancer informatics2020

Mending Disconnects in Cancer Care: Setting an Agenda for Research, Practice, and Policy.

Catherine M Alfano, Deborah K Mayer, Ellen Beckjord, David K Ahern, Michele Galioto, Lisa K Sheldon, Lisa M Klesges, Eliah Aronoff-Spencer, Bradford W Hesse

Abstract read
In one paragraph

Article in JCO clinical cancer informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Bangkok declarations on cancer control in Asia.The Lancet regional health. Western Pacific · 2025
    Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Riding the Wave of Digital Transformation in Behavioral Medicine.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2020
    Review
  12. Article
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.

Catherine M AlfanoAmerican Cancer Society, Washington, DC.
Deborah K MayerNational Cancer Institute, Bethesda, MD.
Ellen BeckjordPopulation Health and Clinical Affairs, University of Pittsburgh Medical Center, Pittsburgh, PA.
David K AhernBrigham and Women's Hospital, Boston, MA.
Michele GaliotoONS Center for Innovation at Oncology Nursing Society, Pittsburgh, PA.
Lisa K SheldonONS Center for Innovation at Oncology Nursing Society, Pittsburgh, PA.
Lisa M KlesgesOncology Nursing Society, Pittsburgh, PA.
Eliah Aronoff-SpencerDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St Louis, MO.
Bradford W HesseAmerican Cancer Society, Washington, DC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer in the United States accounts for $600 billion in health care costs, lost work time and productivity, reduced quality of life, and premature mortality. The future of oncology delivery must mend disconnects to equitably improve patient outcomes while constraining costs and burden on patients, caregivers, and care teams. Embedding learning health systems into oncology can connect care, engaging patients and providers in fully interoperable data systems that remotely monitor patients; generate predictive and prescriptive analytics to facilitate appropriate, timely referrals; and extend the reach of clinicians beyond clinic walls. Incorporating functional learning systems into the future of oncology and follow-up care requires coordinated national attention to 4 synergistic strategies: (1) galvanize and shape public discourse to develop and adopt these systems, (2) demonstrate their value, (3) test and evaluate their use, and (4) reform policy to incentivize and regulate their use.

Indexed as

NeoplasmsQuality of LifeCaregiversHumansMedical OncologyPolicyUnited States

Identifiers

PMID32543897
PMCPMC7328120

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.