Evidence map›Paper›PMID 35949266›Full record

ArticleOTA international : the open access journal of orthopaedic trauma2022

Induced membrane technique for acute bone loss and nonunion management of the tibia.

George D Chloros, Nikolaos K Kanakaris, Paul J Harwood, Peter V Giannoudis

Open access · goldAbstract read
In one paragraph

Article in OTA international : the open access journal of orthopaedic trauma, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. The masquelet technique for severe open fractures: current insights.Journal of orthopaedic surgery and research · 2026
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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

4 authors at 1 institution in 1 country.

George D ChlorosAcademic Department of Trauma and Orthopaedics, School of Medicine, University of Leeds.
Nikolaos K KanakarisAcademic Department of Trauma and Orthopaedics, School of Medicine, University of Leeds.
Paul J HarwoodAcademic Department of Trauma and Orthopaedics, School of Medicine, University of Leeds.
Peter V GiannoudisAcademic Department of Trauma and Orthopaedics, School of Medicine, University of Leeds.
University of Leeds · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To report our experience and clinical results of using the Masquelet technique for the treatment of tibial nonunions and acute traumatic tibial bone defects. Design: Retrospective study of prospectively collected data (Level IV). Setting: Level I trauma center in the UK. Patients/Participants: Consecutive patients with tibial nonunions and open fractures associated with bone loss.Intervention: Two-stage Masquelet Procedure for the tibia. Main Outcome Measurements: Clinical and imaging assessment at 6 weeks, 3,6,9,12 months, or until pain-free mobilization and union. Results: There were 17 eligible patients, with a mean size of bone defect of 6 cm (range, 4-8 cm) and an 88.2% union rate at a mean of 8 months (range 5-18 months). Mean range of motion was 95 degrees of knee flexion (range 80°-130°). All patients but 2 returned to their previous occupation. Conclusions: The Masquelet technique is simple, effective, and has a high rate of success for the management of a variety of situations including acute bone loss or infected nonunions and is associated with a low incidence of complications.

Indexed as

bone defectinfectionmasquelet techniquenonunionRIA grafttibia

Identifiers

PMID35949266
PMCPMC9359030
OpenAlexW4224302363

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.