Evidence map›Paper›PMID 34309777›Full record

Observational studyAnnals of surgical oncology2021

Objective Assessment of Postoperative Morbidity After Breast Cancer Treatments with Wearable Activity Monitors: The "BRACELET" Study.

Nur Amalina Che Bakri, Richard M Kwasnicki, Kieran Dhillon, Naairah Khan, Omar Ghandour, Alexander Cairns, Ara Darzi, Daniel R Leff

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Annals of surgical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 13% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Observational
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Nur Amalina Che BakriDepartment of Surgery and Cancer, Imperial College London, London, UK. nchebakr@ic.ac.uk.ORCID http://orcid.org/0000-0003-1609-5019
Richard M KwasnickiDepartment of Surgery and Cancer, Imperial College London, London, UK.
Kieran DhillonDepartment of Surgery and Cancer, Imperial College London, London, UK.
Naairah KhanDepartment of Surgery and Cancer, Imperial College London, London, UK.
Omar GhandourDepartment of Surgery and Cancer, Imperial College London, London, UK.
Alexander CairnsAcademic Surgical Unit, Imperial College Healthcare NHS Trust, St. Mary's Hospital, London, UK.
Ara DarziDepartment of Surgery and Cancer, Imperial College London, London, UK.
Daniel R LeffDepartment of Surgery and Cancer, Imperial College London, London, UK.
Imperial College Healthcare NHS Trust · GBImperial College London · GB

Funding

NIHR Imperial Biomedical Research Centre WSSS_P69945
6 · The paper itself

Abstract

backgroundCurrent validated tools to measure upper limb dysfunction after breast cancer treatment, such as questionnaires, are prone to recall bias and do not enable comparisons between patients. This study aimed to test the feasibility of wearable activity monitors (WAMs) for achieving a continuous, objective assessment of functional recovery by measuring peri-operative physical activity (PA).

methodsA prospective, single-center, non-randomized, observational study was conducted. Patients undergoing breast and axillary surgery were invited to wear WAMs on both wrists in the peri-operative period and then complete upper limb function (DASH) and quality-of-life (EQ-5D-5L) questionnaires. Statistical analyses were performed to determine the construct validity and concurrent validity of WAMs.

resultsThe analysis included 39 patients with a mean age of 55 ± 13.2 years. Regain of function on the surgically treated side was observed to be an increase of arm activity as a percentage of preoperative levels, with the greatest increase observed between the postoperative days 1 and 2. The PA was significantly greater on the side not treated by surgery than on the surgically treated side after week 1 (mean PA, 75.8% vs. 62.3%; p < 0.0005) and week 2 (mean PA, 91.6% vs. 77.4%; p < 0.005). Subgroup analyses showed differences in recovery trends between different surgical procedures. Concurrent validity was demonstrated by a significant negative moderate correlation between the PA and DASH questionnaires (R = -0.506; p < 0.05).

conclusionThis study demonstrated the feasibility and validity of WAMs to objectively measure postoperative recovery of upper limb function after breast surgery, providing a starting point for personalized rehabilitation through early detection of upper limb physical morbidity.

Indexed as

Breast NeoplasmsWearable Electronic DevicesAdultAgedFemaleHumansMastectomyMiddle AgedMorbidityProspective StudiesQuality of LifeSurveys and Questionnaires

Identifiers

PMID34309777
PMCPMC8312212
OpenAlexW3185842371

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.