Evidence map›Paper›PMID 34316425›Full record

ArticlePlastic and reconstructive surgery. Global open2021

Implant Loss and Associated Risk Factors following Implant-based Breast Reconstructions.

Yara L Blok, Evelien van Lierop, Victor D Plat, Leonard U M Corion, Pieter S Verduijn, Nicole M A Krekel

Open access · goldAbstract read
In one paragraph

Article in Plastic and reconstructive surgery. Global open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
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  6. Two-stage Implant-based Breast Reconstruction Without the Use of Tissue Expanders.Plastic and reconstructive surgery. Global open · 2025
    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

6 authors at 3 institutions in 1 country.

Yara L BlokDepartment of Plastic and Reconstructive surgery, Alrijne Ziekenhuis, Leiderdorp, the Netherlands.
Evelien van LieropDepartment of Plastic and Reconstructive Surgery, Isala Ziekenhuis, Zwolle, the Netherlands.
Victor D Plat
Leonard U M CorionDepartment of Plastic and Reconstructive surgery, Alrijne Ziekenhuis, Leiderdorp, the Netherlands.
Pieter S VerduijnDepartment of Plastic and Reconstructive Surgery, Leiden University Medical Center, Leiden, the Netherlands.
Nicole M A KrekelDepartment of Plastic and Reconstructive surgery, Alrijne Ziekenhuis, Leiderdorp, the Netherlands.
Alrijne Ziekenhuis · NLAmsterdam UMC Location VUmc · NLIsala · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Implant loss is the most severe complication of implant-based breast reconstructions. This study aimed to evaluate the incidence of implant loss and other complications, identify associated risk factors, and create a risk model for implant loss.

methodsThis was a retrospective cohort study of all patients who underwent a mastectomy, followed by either a two-stage or a direct-to-implant breast reconstruction. Patient variables, operative characteristics, and postoperative complications were obtained from the patient records. A multivariate mixed-effects logistic regression model was used to create a risk model for implant loss.

resultsA total of 297 implant-based breast reconstructions were evaluated. Overall, the incidence of implant loss was 11.8%. Six risk factors were significantly associated with implant loss: obesity, a bra cup size larger than C, active smoking status, a nipple-preserving procedure, a direct-to-implant reconstruction, and a lower surgeon's volume. A risk model for implant loss was created, showing a predicted risk of 8.4%-13% in the presence of one risk factor, 21.9%-32.5% in the presence of two, 47.5%-59.3% in the presence of three, and over 78.2% in the presence of four risk factors.

conclusionsThe incidence of implant loss in this study was 11.8%. Six associated significant risk factors were identified. Our risk model for implant loss revealed that the predicted risk increased over 78.2% when four risk factors were present. This risk model can be used to better inform patients and decrease the risk of implant loss by optimizing surgery using personalized therapy.

Identifiers

PMID34316425
PMCPMC8301285
OpenAlexW3184130254

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.