Evidence map›Paper›PMID 30367325›Full record

ArticleObesity surgery2019

What Is the Impact of Comorbidities on the Risk for Postoperative Body-Contouring Surgery Complications in Postbariatric Patients?

Simone Corrêa Rosa, Jefferson Lessa Soares de Macedo, Lucas Ribeiro Canedo, Luiz Augusto Casulari

Abstract read
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Article in Obesity surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Simone Corrêa RosaPost-Graduation Course in Health Sciences, University of Brasília, Brasília, DF, Brazil.
Jefferson Lessa Soares de MacedoDepartment of Plastic and Reconstructive Surgery, Asa Norte Regional Hospital, Brasília, DF, Brazil. jlsmacedo@yahoo.com.br.
Lucas Ribeiro CanedoSuperior School of Health Sciences/FEPECS, Brasília, DF, Brazil.
Luiz Augusto CasulariPost-Graduation Course in Health Sciences, University of Brasília, Brasília, DF, Brazil.
Universidade de Brasília · BRInesc P&D Brasil · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is an increasing number of patients presenting after massive weight loss for plastic surgery, and many of these patients have residual diseases that may compromise outcomes. This study aims to evaluate the impact of comorbidities on the development of postoperative complications in postbariatric patients undergoing plastic surgery procedures at the Federal District North Wing Regional Hospital, Brasília, Brazil.

methodsDescriptive, analytical, and prospective study was performed on patients who underwent plastic surgery following RYGB from January 2011 to December 2016. Measures included BMI (body mass index) before RYGB and before plastic surgery, medical complications and comorbidities.

resultsOne hundred thirty-nine patients (130 female, 9 male) with a mean age of 41 years underwent 233 separate operations. The average BMI at the time of plastic surgery was 27.44 kg/m

conclusionIn this group of patients, with these anthropometric and clinical profiles, the most important comorbidities (diabetes, arterial hypertension, and metabolic syndrome) failed to influence the incidence of postoperative complications in postbariatric patients after plastic surgery.

Indexed as

AbdominoplastyAdultBody ContouringBody Mass IndexComorbidityFemaleGastric BypassHumansMaleMiddle AgedObesity, MorbidProspective StudiesWeight LossAbdominoplastyBariatric surgeryBody-contouring surgeryPlastic surgeryPostoperative complicationsWound dehiscence

Identifiers

PMID30367325
OpenAlexW2898497475

What OpenQuestion holds

Textmetadata
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.