Evidence map›Paper›PMID 40115616›Full record

ArticleData in brief2025

Multifrequency low-level laser-assisted mastopexy in 231 consecutive patients: A dataset.

Gabriel Cubillos-Valencia, Neidalis Vasquez, Andrés Miguel Ortegón Pulido, Diego Rivera-Porras, Julio Cesar Contreras-Velásquez, Valmore Bermúdez

Abstract read
In one paragraph

Article in Data in brief, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Gabriel Cubillos-ValenciaClínica de Obesidad y Envejecimiento, Bogotá, Colombia.
Neidalis VasquezClínica de Obesidad y Envejecimiento, Bogotá, Colombia.
Andrés Miguel Ortegón PulidoClínica de Obesidad y Envejecimiento, Bogotá, Colombia.
Diego Rivera-PorrasUniversidad de la Costa, Departamento de Productividad e Innovación, Barranquilla, Atlántico, Colombia.
Julio Cesar Contreras-VelásquezUniversidad de la Costa, Departamento de Productividad e Innovación, Barranquilla, Atlántico, Colombia.
Valmore BermúdezUniversidad Simón Bolívar, Facultad de Ciencias de la Salud, Grupo de Investigación en Ciencias de la Vida. Barranquilla, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast ptosis, the inferior displacement of the nipple-areola complex, is predominantly attributed to age-related collagen degradation within the breast parenchyma as a result of fibroblast senescence and postmenopausal estrogen depletion, which together result in skin ageing and mammary adipose tissue reduction. This Dataset reports the clinical information and measurements of 231 patients who underwent multifrequency low-level laser-assisted mastopexy. Data were collected prospectively between February 2021 and November 2023. All patients' references and identification data were anonymized to ensure compliance with Colombian legal regulations. Subsequently, data were translated from Spanish to English and stored in both .xls and .csv formats. This study aimed to evaluate the effect of the procedure on breast ptosis degree and the sternal notch to nipple distance (SNND) to assess the evolution of breast ptosis. This article presents demographic, personal, and familial history data, anthropometric measurements, breast ptosis degree classified according to the Regnault system, SNND measurements, and complications categorized using the Clavien-Dindo classification system.

Indexed as

Breast ptosisBrest liftDatasetLaserLaser-assisted mastopexyMastopexy

Identifiers

PMID40115616
PMCPMC11925076

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.