Evidence map›Paper›PMID 31316828›Full record

ArticleInternational journal of surgical oncology2019

Postsurgical Ultrasound Evaluation of Patients with Prosthesis in Acellular Dermal Matrix: Results from Monocentric Experience.

Ballesio Laura, Casinelli Alice, Gigli Silvia, Boldrini Cristiana, Di Taranto Giuseppe, Albano Antonio, Onesti Maria Giuseppina

Abstract read
In one paragraph

Article in International journal of surgical oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. BraxonFrontiers in surgery · 2022
    Review
  5. Article
  6. 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

7 authors.

Ballesio LauraDepartment of Radiological Sciences, "Sapienza" University of Rome, V.le Regina Elena 324, 00161 Rome, Italy.
Casinelli AliceDepartment of Radiological Sciences, "Sapienza" University of Rome, V.le Regina Elena 324, 00161 Rome, Italy.ORCID https://orcid.org/0000-0001-8245-7538
Gigli SilviaDepartment of Radiological Sciences, "Sapienza" University of Rome, V.le Regina Elena 324, 00161 Rome, Italy.
Boldrini CristianaDepartment of Radiological Sciences, "Sapienza" University of Rome, V.le Regina Elena 324, 00161 Rome, Italy.
Di Taranto GiuseppeDepartment of Plastic and Reconstructive Surgery, "Sapienza" University of Rome, V.le Regina Elena 324, 00161 Rome, Italy.
Albano AntonioDepartment of Plastic and Reconstructive Surgery, "Sapienza" University of Rome, V.le Regina Elena 324, 00161 Rome, Italy.
Onesti Maria GiuseppinaDepartment of Plastic and Reconstructive Surgery, "Sapienza" University of Rome, V.le Regina Elena 324, 00161 Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mastectomy and breast prosthetic reconstruction is the most common surgical treatment for women diagnosed with breast cancer. In the last few years, breast prosthetic augmentation in acellular dermal matrix (ADM) has been introduced. The aim of this study is to present our single-center experience in evaluating the outcome of patients who underwent breast reconstruction in ADM, using ultrasound (US) examination. US follow-up allows evaluating both normal postoperative findings and changes and potential local complications, demonstrating that ADM is a safe option for women candidates for mastectomy.

Indexed as

Acellular DermisBreast ImplantsMastectomyAdultAgedBreastBreast ImplantationBreast NeoplasmsFemaleFollow-Up StudiesHumansMammaplastyMiddle AgedProspective StudiesUltrasonography

Identifiers

PMID31316828
PMCPMC6601478

What OpenQuestion holds

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LicenceCC BY
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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.