Evidence map›Paper›PMID 35132459›Full record

ArticleAesthetic plastic surgery2022

Breast Reconstruction- Developing a Volumetric Outcome Algorithm.

Siling Yang, Marie-Luise Klietz, Tobias Hirsch, Philipp Wiebringhaus, Matthias M Aitzetmüller

Abstract readLetter
PubMed Publisher
In one paragraph

Article in Aesthetic plastic surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Siling Yang *Division for Plastic Surgery, Department for Traumatology and Hand Surgery, University Hospital Muenster, Albert-Schweitzer-Campus 1, 48149, Muenster, Germany.
Marie-Luise Klietz *Division for Plastic Surgery, Department for Traumatology and Hand Surgery, University Hospital Muenster, Albert-Schweitzer-Campus 1, 48149, Muenster, Germany.
Tobias HirschDivision for Plastic Surgery, Department for Traumatology and Hand Surgery, University Hospital Muenster, Albert-Schweitzer-Campus 1, 48149, Muenster, Germany.
Philipp WiebringhausDivision for Plastic Surgery, Department for Traumatology and Hand Surgery, University Hospital Muenster, Albert-Schweitzer-Campus 1, 48149, Muenster, Germany.
Matthias M AitzetmüllerDivision for Plastic Surgery, Department for Traumatology and Hand Surgery, University Hospital Muenster, Albert-Schweitzer-Campus 1, 48149, Muenster, Germany. aitzetmueller.m@hotmail.com.
University Hospital Münster · DEFachklinik Hornheide · DEUniversity of Münster · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Postoperative loss of breast volume represents a significant parameter for outcome evaluation of breast reconstruction. Breast volume broadly varies- depending of reconstruction method as well as surgical differences. A structural pattern of breast volume loss provides an essential parameter for preoperative design, helps to reduce postoperative breast asymmetry rate and thereby the need for reoperation. Therefore we hereby compare volume change of the three main reconstruction techniques: autologous flap-based, prosthesis-based and autologous fat transplantation breast reconstruction. LEVEL OF EVIDENCE V: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Indexed as

Breast NeoplasmsMammaplastyAlgorithmsEstheticsFemaleHumansRetrospective StudiesRisk AssessmentTreatment OutcomeAutologous breast reconstructionBreastBreast surgeryFree flap

Identifiers

PMID35132459
OpenAlexW4210606879

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.