Evidence map›Paper›PMID 28269934›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2016

Data Driven Approach to Burden of Treatment Measurement: A Study of Patients with Breast Cancer.

Alex C Cheng, Mia A Levy

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  6. Evaluating telehealth for the education and monitoring of lymphoedema and shoulder dysfunction after breast cancer surgery.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
    Article
  7. Burden of Care for Patients With In-Transit Melanoma.The Journal of surgical research · 2023
    Article
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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

2 authors.

Alex C ChengVanderbilt University, Nashville, TN.
Mia A LevyVanderbilt University, Nashville, TN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic disease affects patient quality of life through symptoms of the disease and the work of receiving treatment. While the effects of illness are well investigated, the burden of treatment is not commonly studied or monitored. We developed a method to quantify one dimension of the burden of treatment based on patient encounters with the healthcare system. We applied this method to a population of stage I-III breast cancer patients. As hypothesized and observed, stage IIIpatients had more appointments, spent more time in clinic, and spent more time admitted to the hospital in the first 18 months after diagnosis compared to stage I and II patients. Future work will evaluate the reproducibility and generalizability of this method for quantifying burden of treatment across other clinical settings and chronic diseases. This approach could enable identification of high-risk groups that could benefit from interventions to decrease patient work and improve outcomes.

Indexed as

Cost of IllnessAnalysis of VarianceAppointments and SchedulesBreast NeoplasmsFemaleHumansNeoplasm StagingQuality of LifeTime Factors

Identifiers

PMID28269934
PMCPMC5333259

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.