Evidence map›Paper›PMID 40366334›Full record

ArticleThe oncologist2025

Advancing breast cancer rehabilitation: a novel tool for assessing physical morbidity risk.

Ifat Klein, Merav A Ben David, Danit R Shahar, Irena Rosenberg, Sergio Susmallian, Daphna Barsuk, Michael Friger

Abstract readMulticenter Study
In one paragraph

Article in The oncologist, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Ifat KleinAssuta Medical Center, Ramat Hahayal, Tel Aviv 6971028, Israel.ORCID 0000-0003-0650-4798
Merav A Ben DavidAssuta Medical Center, Ramat Hahayal, Tel Aviv 6971028, Israel.ORCID 0000-0002-4928-3529
Danit R ShaharDepartment of Epidemiology, Biostatistics and Community Health, School of Public Health, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheva 8410501, Israel.ORCID 0000-0003-1000-1819
Irena RosenbergAssuta Medical Center, Ramat Hahayal, Tel Aviv 6971028, Israel.ORCID 0009-0005-2602-6502
Sergio SusmallianAssuta Medical Center, Ramat Hahayal, Tel Aviv 6971028, Israel.ORCID 0000-0003-3069-8334
Daphna BarsukAssuta Medical Center, Ramat Hahayal, Tel Aviv 6971028, Israel.ORCID 0000-0002-7736-6364
Michael FrigerDepartment of Epidemiology, Biostatistics and Community Health, School of Public Health, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheva 8410501, Israel.ORCID 0000-0001-7234-6607

Funding

Chief Scientist OfficeIsrael Cancer SocietyMinistry of Health, State of Israel
6 · The paper itself

Abstract

purposeThis study presents the development process of the Arm Morbidity following Breast Cancer Treatments (ARM-BCT) tool. MATERIALS AND

methodsA historical prospective study was conducted across five medical centers from 2020 to 2023. Medical information and a questionnaire covering morbidities, lifestyle, emotional state, and functioning were collected. Regression models analyzed 22 risk factors for chronic pain, lymphedema, functional limitations, and decreased range of motion. Significant factors were included in the ARM-BCT tool.

resultsSeventeen significant risk factors were identified, including mastectomy (B = 2.073, CI, 7.403-5.366), axillary lymph node dissection (B = 0.194, CI, 0.988-1.036), breast reconstruction (B = 17.300, CI, 7.105-27.495), advanced stage (B = 0.498, CI, 1.044-2.594), chemotherapy (B = 1.326, CI, 0.870-3.673), BMI (B = 0.092, CI, 1.033-1.163), anxiety (B = 0.177, CI, 1.859-3.079), low physical activity levels (B = -0.059, CI, 0.190-0.001), specific comorbidities (B = -1.491, CI, 2.706-0.277), age (B = 0.035, OR = 1.036, CI, 1.002-1.071), and radiation therapy (B = 0.385, CI, 0.380-2.056), etc. The tool's development involved robust statistical modeling to determine the weight of each factor, evaluate model quality, and establish a clinically relevant cutoff point.

conclusionThis article describes the development process of the ARM-BCT tool, designed to assess the risk of physical morbidity following breast cancer treatment. The tool incorporates 17 statistically significant risk and protective factors into a scoring scale ranging from 1 to 20. Risk is categorized as low (< 6) or high (> 7), enabling targeted recommendations for rehabilitation timing and necessity. While validation studies evaluating its clinical effectiveness are underway and will be presented in future publications, the ARM-BCT tool shows promise in enhancing recovery outcomes through early intervention.

Indexed as

Breast NeoplasmsAdultAgedFemaleHumansMastectomyMiddle AgedMorbidityProspective StudiesRisk AssessmentRisk FactorsSurveys and Questionnairesbreast cancermorbidityphysical impairmentsphysical therapyrehabilitationrisk assessmentrisk factorstool development

Identifiers

PMID40366334
PMCPMC12159735

What Socratic 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 Socratic graph.