Evidence map›Paper›PMID 39539335›Full record

ReviewIndian journal of orthopaedics2024

Technology Update in Management of Multi-Ligament Knee Injuries.

Sujith Sidharthan, Rajarshi Bhattacharya

Abstract readReview
In one paragraph

Review in Indian journal of orthopaedics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Evaluation and Management of Knee Dislocations in Low-income Settings: Evidence-based Strategies and Practical Considerations.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2025
    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.

Sujith SidharthanDepartment of Trauma and Orthopaedics, Imperial College Healthcare NHS Trust, The Bays, St Mary's Hospital, South Wharf Road, London, W2 1NY UK.ORCID 0000-0002-2719-1295
Rajarshi BhattacharyaDepartment of Trauma and Orthopaedics, Imperial College Healthcare NHS Trust, The Bays, St Mary's Hospital, South Wharf Road, London, W2 1NY UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Multi-ligament knee injuries present in various combinations of structures around the knee joint, with or without involvement of neurovascular structures, posing significant challenges to the treating physician and therapists. Accurate diagnosis with appropriate surgical intervention and comprehensive rehabilitation to restore function and stability is, therefore, paramount. This article looks at the recent advancements in technology that are aiding in the management of these injuries. Method: An extensive search of literature was done in PubMed, SCOPUS, and Google Scholar on this topic and the necessary information was derived from the relevant articles for this review. The progress made in the field of diagnosis, surgical management, rehabilitation and patient education tools were explored. Discussion: A wide variety of diagnostic tools exists that are providing a more accurate evaluation of multi-ligament knee injuries both pre-operatively and post operatively. Advances in technology and techniques have aided in transforming their surgical management to a more minimally invasive approach. Patient-specific instrumentation, computer navigation and robotic-assisted surgery are in various stages of development offering enhanced precision and accuracy during ligament reconstruction procedures along with developments in digital technology and artificial intelligence. Conclusion: Advancements in technology have transformed the management of multi-ligament knee injuries, offering new tools and techniques that enhance diagnostic accuracy, surgical precision, and rehabilitation effectiveness. Artificial intelligence and its utility have widened the horizons, while at the same time bringing in the need for regulations necessary to monitor and develop these technologies.

Indexed as

Artificial intelligenceData protectionMulti-ligament knee injuriesTechnology

Identifiers

PMID39539335
PMCPMC11555171

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.