Evidence map›Paper›PMID 40326555›Full record

ArticleEFORT open reviews2025

Decoding tibial plateau fracture classifications: a century of individualized insights in a systematic review.

Fardis Vosoughi, Iman Menbari Oskouie, Nazanin Rahimdoost, Rodrigo Pesantez

Abstract read
In one paragraph

Article in EFORT open reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: We conducted a systematic review of all proposed classifications of tibial plateau fractures (TPFs) to facilitate comparison and identify the most effective reduction methods. Methods: PubMed, Scopus, Embase, Web of Science and Cochrane Library databases were searched for all the articles involving the suggestion of a new method of TPF classification. The descriptions of classifications, along with their suggested management strategies, were recorded. Results: Out of the 2,712 identified records, 69 were included in the study. Schatzker's and Arbeitsgemeinschaft für Osteosynthesefragen/Orthopaedic Trauma Association (AO/OTA) classifications were the most frequently mentioned in the literature. The concept of a 'column' and posterior column fractures were introduced in 2010. Following this, posterior plateau fractures were further divided into posteromedial and posterolateral fractures. Proposed treatment approaches in most studies were based on the involved region and degree of displacement, while others considered fracture plane, deformity direction and type of fracture. The latest developments include the subclassification of the posterolateral column and consideration of associated injuries to the fibular head, eminentia, extensor mechanism and mechanical derangements along with the concept of the main deformity direction. Conclusion: The understanding of TPF patterns, associated injuries, surgical approaches and fixation methods has evolved in a compelling stepwise manner. Currently, there is no gold standard classification that addresses fracture configuration, soft-tissue injuries, principal direction of deformity, central eminence avulsions, extensor mechanism disruptions and mechanical derangements, while maintaining a simple and reliable categorization. Therefore, employing individualized classification systems remains the most logical approach at present. This study offers invaluable assistance in this regard.

Indexed as

fracture classificationfracture managementsystematic reviewtibial plateau fracture

Identifiers

PMID40326555
PMCPMC12061015

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Registered trials

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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.