Evidence map›Paper›PMID 35233337›Full record

ArticlePlastic and reconstructive surgery. Global open2022

Classification for Staging and Managing Patients with Biopolymer-induced Human Adjuvant Disease.

Jaime Eduardo Pachón Suárez, Marcela C Salazar, Victor Z Rizo

Open access · goldAbstract read
In one paragraph

Article in Plastic and reconstructive surgery. Global open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

3 authors.

Jaime Eduardo Pachón SuárezPlastic and Reconstructive Surgery, Microsurgery Centro Medico Almirante Colon, Bogotá, Colombia.
Marcela C SalazarPhysician, Private Practice, Bogotá, Colombia.
Victor Z RizoEpidemiologist, Private Practice, Bogotá, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biopolymer-induced human adjuvant disease (BHAD) is a chronic clinical condition that requires surgical intervention, regardless of the presence of symptoms, to minimize the risk of functional, aesthetic, and systemic sequelae and the development of conditions simulating autoimmune disease. We propose a classification for BHAD on the basis of course of the disease, which will make it possible to assess the damage and difficulty in patients, leading to a more appropriate therapeutic approach.

methodsA protocol study was implemented. A casuistry of patients with a diagnosis of autoimmune/inflammatory syndrome induced by adjuvants was taken into account according to the Shoenfeld criteria. Qualitative variables were analyzed through frequencies and percentages, and quantitative variables were analyzed with measures of central tendency and dispersion. The diagnostic validity of the signs and symptoms was analyzed using some paraclinical tests.

resultsA total of 190 patients diagnosed with autoimmune/inflammatory syndrome induced by adjuvants with biopolymers in the buttocks and who underwent a surgical procedure by the open, masked technique between January 2017 and December 2020 were selected. Considering each sign and symptom, the location of the biopolymers in different planes, and pathophysiology of the clinical course of the disease, a classification was proposed that takes into account diagnostic imaging findings, local clinical signs, systemic symptoms, systemic clinical signs, and autoimmune markers.

conclusionSome signs associated with biomarkers with sensitivity and specificity values can influence the pretest decision to request paraclinicals, improving the diagnostic probability and cost effectiveness in these patients.

Identifiers

PMID35233337
PMCPMC8878701
OpenAlexW4214666095

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.