Evidence map›Paper›PMID 38538922›Full record

ArticleJournal of cancer survivorship : research and practice2025

A scoping review of web-based, interactive, personalized decision-making tools available to support breast cancer treatment and survivorship care.

Kaitlyn M Wojcik, Dalya Kamil, Julia Zhang, Oliver W A Wilson, Laney Smith, Gisela Butera, Claudine Isaacs, Allison Kurian, Jinani Jayasekera

Open access · hybridAbstract readScoping Review
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of cancer survivorship : research and practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Breast cancer survivors' perspectives on a clinical decision tool to support individualized exercise prescriptions and discussions.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
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 7 institutions in 1 country.

Kaitlyn M WojcikHealth Equity and Decision Sciences Research Laboratory, Division of Intramural Research, National Institute On Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, 20892, USA.
Dalya KamilHealth Equity and Decision Sciences Research Laboratory, Division of Intramural Research, National Institute On Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, 20892, USA.
Julia ZhangWilliams College, Williamstown, MA, USA.
Oliver W A WilsonHealth Equity and Decision Sciences Research Laboratory, Division of Intramural Research, National Institute On Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, 20892, USA.
Laney SmithFrederick P. Whiddon College of Medicine, Mobile, AL, USA.
Gisela ButeraOffice of Research Services, National Institutes of Health Library, Bethesda, MD, USA.
Claudine IsaacsGeorgetown University Medical Center and Cancer Prevention and Control Program, Georgetown-Lombardi Comprehensive Cancer Center, Washington, DC, USA.
Allison KurianDepartments of Medicine and Epidemiology and Population Health at Stanford University School of Medicine, Stanford, CA, USA.
Jinani JayasekeraHealth Equity and Decision Sciences Research Laboratory, Division of Intramural Research, National Institute On Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, 20892, USA. jinani.jayasekera@nih.gov.
Decision Sciences (United States) · USNational Institutes of Health · USGeorgetown University Medical Center · USOffice of Research Services · USStanford University · USUniversity of Mobile · USWilliams College · US

Funding

Health Equity and Decision SciencesZIAMD000022 · NIMHD · NATIONAL INSTITUTE ON MINORITY HEALTH AND HEALTH DISPARITIES · PI JAYASEKERA, JINANI · 2023 to 2025
$962k
Intramural NIH HHS ZIA MD000022
6 · The paper itself

Abstract

purposeWe reviewed existing personalized, web-based, interactive decision-making tools available to guide breast cancer treatment and survivorship care decisions in clinical settings.

methodsThe study was conducted using the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). We searched PubMed and related databases for interactive web-based decision-making tools developed to support breast cancer treatment and survivorship care from 2013 to 2023. Information on each tool's purpose, target population, data sources, individual and contextual characteristics, outcomes, validation, and usability testing were extracted. We completed a quality assessment for each tool using the International Patient Decision Aid Standard (IPDAS) instrument.

resultsWe found 54 tools providing personalized breast cancer outcomes (e.g., recurrence) and treatment recommendations (e.g., chemotherapy) based on individual clinical (e.g., stage), genomic (e.g., 21-gene-recurrence score), behavioral (e.g., smoking), and contextual (e.g., insurance) characteristics. Forty-five tools were validated, and nine had undergone usability testing. However, validation and usability testing included mostly White, educated, and/or insured individuals. The average quality assessment score of the tools was 16 (range: 6-46; potential maximum: 63).

conclusionsThere was wide variation in the characteristics, quality, validity, and usability of the tools. Future studies should consider diverse populations for tool development and testing. IMPLICATIONS FOR CANCER SURVIVORS: There are tools available to support personalized breast cancer treatment and survivorship care decisions in clinical settings. It is important for both cancer survivors and physicians to carefully consider the quality, validity, and usability of these tools before using them to guide care decisions.

Indexed as

Breast NeoplasmsCancer SurvivorsDecision MakingDecision Support TechniquesInternetPrecision MedicineFemaleHumansSurvivorshipBreast cancerDecision-making toolsSurvivorshipTreatment

Identifiers

PMID38538922
PMCPMC11436482
OpenAlexW4393271583

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.