Evidence map›Paper›PMID 39026084›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2024

Complex decongestive therapy improves finger tapping score in patients with breast cancer-related lymphedema.

Evrim Gökçe, Cansu Şahbaz Pirinççi, Fikret Arı, Meltem Dalyan

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Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

4 authors.

Evrim GökçeNormandie Univ, UNICAEN, COMETE UMR 1075, Caen, France. evrim.gokce@unicaen.fr.ORCID http://orcid.org/0000-0003-1548-8785
Cansu Şahbaz PirinççiGülhane Faculty of Physiotherapy and Rehabilitation, University of Health Sciences, Ankara, Turkey.ORCID http://orcid.org/0000-0002-3921-0721
Fikret ArıDepartment of Electrical and Electronics Engineering, Faculty of Engineering, Ankara University, Ankara, Turkey.ORCID http://orcid.org/0000-0002-6104-4467
Meltem DalyanDepartment of Physical Medicine and Rehabilitation, Ankara City Hospital, Ankara, Turkey.ORCID http://orcid.org/0000-0002-7341-2888

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeBreast cancer-related lymphedema (BCRL) impairs upper limb function and cognitive performance. This study aimed to evaluate the effects of fifteen sessions of complex decongestive therapy (CDT) on fine motor performance and information processing speed in women with BCRL.

methodsThirty-eight women with BCRL (54.97 ± 10.78 years) were recruited in the study. Participants either received five times weekly CDT consisting of manual lymphatic drainage, skin care, compression bandaging, and remedial exercises (n = 19) or served as a wait-list control group (n = 19). We used the Finger Tapping Task to assess fine motor performance and the Digit Symbol Substitution Test to assess information processing speed. ANCOVA was performed to analyze the effect of CDT on the dependent variables, adjusting for covariates and baseline values.

resultsCDT significantly improved finger tapping score (p < 0.001) compared to the wait-list to the control group, whereas information processing speed did not significantly change (p = 0.673).

conclusionThe findings suggest that CDT is an effective conservative therapeutic approach to improve upper extremity fine motor function in women with BCRL. Future studies are needed to investigate the effect of CDT on different cognitive domains.

Indexed as

Breast Cancer LymphedemaAdultAgedBreast NeoplasmsCompression BandagesExercise TherapyFemaleFingersHumansLymphedemaManual Lymphatic DrainageMiddle AgedSkin CareCancerComplex decongestive therapyFine motor skillInformation processing speedLymphedema

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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.