Evidence map›Paper›PMID 40411541›Full record

SynthesisMusculoskeletal surgery2026

Advancing knee diagnostics and treatment: the role of needle arthroscopy.

R Compagnoni, A Pieroni, G Fedele, Alessio Maione, Filippo Calanna, P Ferrua, P S Randelli

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Musculoskeletal surgery, 2026. 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. Article
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

7 authors.

R CompagnoniIstituto Ortopedico Gaetano Pini, Milan, Italy.
A PieroniUniversity of Milan, Milan, Italy.
G FedeleUniversity of Milan, Milan, Italy. giuseppe.fedele@unimi.it.
Alessio MaioneU.O.C. 1° Clinica Ortopedica, ASST Centro Specialistico Ortopedico Traumatologico Gaetano Pini-CTO, Milan, Italy.ORCID https://orcid.org/0000-0002-4464-2254
Filippo CalannaU.O.C. 1° Clinica Ortopedica, ASST Centro Specialistico Ortopedico Traumatologico Gaetano Pini-CTO, Milan, Italy.
P FerruaIstituto Ortopedico Gaetano Pini, Milan, Italy.
P S RandelliIstituto Ortopedico Gaetano Pini, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knee needle arthroscopy (NA) represents a minimally invasive diagnostic and therapeutic approach for managing a variety of knee joint pathologies. This innovative technique, characterized by a thin, flexible, needle-like device, offers a less invasive alternative to conventional arthroscopy (CA), enabling outpatient procedures with reduced postoperative pain, faster recovery, and minimal scarring. This systematic review examines the current applications, diagnostic accuracy, clinical outcomes, and patient benefits of needle arthroscopy. Studies reveal that NA demonstrates comparable diagnostic efficacy to CA and superior accuracy to MRI for intra-articular knee pathology, particularly in meniscal injuries and anterior cruciate ligament assessments. NA facilitates real-time visualization and interventions under local anesthesia, promoting cost-efficiency and patient satisfaction. Despite its advantages, there are challenges such as limited visualization and technical proficiency. While NA emerges as a promising modality in knee diagnostics and treatment, further large-scale clinical trials are essential to validate its long-term efficacy, safety, and broader applications.

Indexed as

ArthroscopyKnee InjuriesKnee JointNeedlesAnterior Cruciate Ligament InjuriesHumansMagnetic Resonance ImagingArthroscopyIncision-lessKneeLocal anesthesiaNeedle arthroscopyPainShoulder

Identifiers

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.