Evidence map›Paper›PMID 28744608›Full record

ReviewDer Orthopade2017

[Reconstruction of osseous defects using the Masquelet technique].

F Saxer, H Eckardt

Abstract readCase ReportsReview
PubMed Publisher
In one paragraph

Review in Der Orthopade, 2017. 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
1.0field-weighted citation impact, top 23% 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, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. 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

2 authors at 1 institution in 1 country.

F SaxerUniversitätsspital Basel, Spitalstrasse 21, 4031, Basel, Schweiz. Franziska.Saxer@usb.ch.
H EckardtUniversitätsspital Basel, Spitalstrasse 21, 4031, Basel, Schweiz. henrik.eckhardt@usb.ch.
University Hospital of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Masquelet procedure or induced membrane technique presents a treatment option for relatively large osseous defects, e.g. after trauma, tumour resection or osteomyelitis even in the presence of unfavourable soft tissues. Initially developed at the end of the last century by the French surgeon Masquelet, the technique relies on a bioactive membrane that forms a foreign body reaction around a cement spacer. This spacer is implanted in the residual defect after rigorous debridement of bone and soft tissue during a first-stage procedure. A second-stage intervention is performed 1-2 months later with removal of the spacer under preservation of the membrane that has since formed around the cement. The membrane acts as an internal bioreactor exerting its effect via a rich vascularization and secretion of growth and differentiation factors. The void within the membrane is filled with an autologous cancellous graft. After adequate stabilisation using standard techniques, a gradual corticalisation of the graft can be observed over the duration of several months, with remodelling in the long-term course.The following article describes the original technique, our preferred approach including indication, surgical technique and postoperative follow-up. Additionally, the biological background and clinical tips and tricks are presented.

Indexed as

BioreactorsPolymethyl MethacrylateSynovial MembraneAdultAnkle InjuriesBone NeoplasmsBone RemodelingBone TransplantationDebridementExternal FixatorsFemaleFracture Fixation, InternalFractures, OpenHumansOsteomyelitisReoperationPolymethyl MethacrylateAutologous transplantationDébridementOsteomyelitisPseudarthrosisTibia

Identifiers

PMID28744608
OpenAlexW2736820882

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.