Evidence map›Paper›PMID 32483861›Full record

Trial reportCancer medicine2020

L-Dex, arm volume, and symptom trajectories 24 months after breast cancer surgery.

Sheila H Ridner, Chirag Shah, John Boyages, Louise Koelmeyer, Nicolas Ajkay, Sarah M DeSnyder, Sarah A McLaughlin, Mary S Dietrich

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Cancer medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Observational
  13. Review
  14. 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

8 authors.

Sheila H RidnerVanderbilt University School of Nursing, Nashville, TN, USA.ORCID 0000-0003-3847-7405
Chirag ShahDepartment of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA.
John BoyagesAustralian Lymphoedema Education, Research, and Treatment (ALERT) Program, Faculty of Medicine & Health Sciences, Macquarie University, Sydney, NSW, Australia.
Louise KoelmeyerALERT Program, Faculty of Medicine & Health Sciences, Macquarie University, Sydney, NSW, Australia.ORCID 0000-0002-2736-2330
Nicolas AjkayBreast Surgical Oncology, University of Louisville, Louisville, KY, USA.
Sarah M DeSnyderDepartment of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Sarah A McLaughlinSurgery, Mayo Clinic, Jacksonville, FL, USA.
Mary S DietrichVanderbilt University School of Nursing and Vanderbilt University School of Medicine, Nashville, TN, USA.

Funding

The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
NCATS NIH HHS UL1 TR000445
6 · The paper itself

Abstract

purposeStudy objectives were to examine: (a) biomarker trajectories (change from presurgical baseline values of Lymphedema index (L-Dex) units and arm volume difference) and symptom cluster scores 24 months after breast cancer surgery and (b) associations of these objective biomarkers and symptom cluster scores. Patient/treatment characteristics influencing trajectories were also evaluated.

methodsA secondary analysis of data from the published interim analysis of a randomized parent study was undertaken using trajectory analysis. Five hundred and eight participants included in the prior analysis with 24 months of postsurgical follow-up were initially measured with bioelectric impedance spectroscopy (BIS) and tape measure (TM) and completed self-report measures. Patients were reassessed postsurgery for continuing eligibility and then randomized to either BIS or TM groups and measured along with self-report data at regular and optional* visits 3, 6,12,15*,18, 21*, and 24-months.

resultsThree subclinical trajectories were identified for each biomarker (decreasing, stable, increasing) and symptom cluster scores (stable, slight increase/decrease, increasing). Subclinical lymphedema was identified throughout the 24-month period by each biomarker. An L-Dex increase at 15 months in the BIS group was noted. The self-report sets demonstrated contingency coefficients of 0.20 (LSIDS-A soft tissue, P = .031) and 0.19 (FACTB+4, P = .044) with the L-Dex unit change trajectories.

conclusionsThese data support the need for long-term (24 months) prospective surveillance with frequent assessments (every 3 months) at least 15 months after surgery. Statistically significant convergence of symptom cluster scores with L-Dex unit change supports BIS as beneficial in the early identification of subclinical lymphedema.

Indexed as

ArmBreast NeoplasmsFemaleHumansMiddle AgedProspective StudiesTime Factorsbiomarkersbreast cancerquality of lifesurvival

Identifiers

PMID32483861
PMCPMC7367615

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.