Evidence map›Paper›PMID 37227610›Full record

ArticleBreast cancer research and treatment2023

Women with metastatic breast cancer don't just follow step-count trends, they exceed them: an exploratory study.

Maxime Caru, Saeed Abdullah, Ling Qiu, Bethany Kanski, Brett Gordon, Cristina I Truica, Monali Vasakar, Shawna Doerksen, Kathryn H Schmitz

Open access · bronzeAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 11% 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. 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 at 3 institutions in 1 country.

Maxime CaruDivision of Hematology and Oncology, Department of Pediatric, Pennsylvania State Health Children's Hospital, Hershey, PA, USA.ORCID http://orcid.org/0000-0003-2904-9185
Saeed AbdullahCollege of Information Sciences and Technology, Pennsylvania State University, University Park, PA, USA.
Ling QiuCollege of Information Sciences and Technology, Pennsylvania State University, University Park, PA, USA.
Bethany KanskiDepartment of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, USA.
Brett GordonDepartment of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, USA.
Cristina I TruicaDivision of Hematology and Oncology, Department of Medicine, Pennsylvania State University College of Medicine, Hershey, PA, USA.
Monali VasakarDivision of Hematology and Oncology, Department of Medicine, Pennsylvania State University College of Medicine, Hershey, PA, USA.
Shawna DoerksenDivision of Hematology and Oncology, University of Pittsburgh, Pittsburgh, PA, USA.
Kathryn H SchmitzDivision of Hematology and Oncology, University of Pittsburgh, Pittsburgh, PA, USA. schmitzk@upmc.edu.
Pennsylvania State University · USUniversity of Pittsburgh · USPenn State Milton S. Hershey Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMetastatic breast cancer (MBC) patients are living longer at the cost of several side effects, affecting their physical and mental health. Physical activity can help women with MBC to improve their wellbeing. Technology-based exercise interventions have shown promising outcomes; however, studies that document their benefits on health behaviors are lacking. Therefore, we aimed to document the impact of virtual assistant technology on enhancing daily step counts in women with MBC.

methodsA total of 38 women with MBC participated in the 90-day Nurse AMIE (Addressing Metastatic Individuals Everyday) for Amazon Echo Show study, an artificial intelligence-based supportive care intervention. Each day, Nurse AMIE asked four symptom questions (sleep, pain, fatigue, and distress) and daily step counts. Based on participants' answers, an algorithm provided an activity to assist with symptom management.

resultsDuring the first week of the intervention, mean step counts per day were 4935 ± 2884, and during the last week of the intervention, mean step counts per day were 1044 steps higher, for an average of 5979 ± 2651 steps. Non-significant differences were observed between the first and last week (p = 0.211) and between the first and last day (p = 0.099), despite an improvement of 21.2% over time and significant differences between baseline and the other days.

conclusionWomen with MBC benefited from the Nurse AMIE for Amazon Echo Show intervention. Despite improvements over time (> 20%), we cannot conclude that the intervention significantly enhanced participants' daily step counts. Larger studies using virtual assistant technologies are required, and this study should be considered a first step in this direction.

Indexed as

Breast NeoplasmsArtificial IntelligenceExerciseExercise TherapyFemaleHealth BehaviorHumansExerciseMetastatic breast cancerNurse AMIEStepsSupportive care

Identifiers

PMID37227610
PMCPMC10208908
OpenAlexW4378172732

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.