Evidence map›Paper›PMID 41910881›Full record

ReviewCurrent reviews in musculoskeletal medicine2026

Can we Predict the Outcomes of Arthroscopic Partial Meniscectomy?

Pietro Conte, Giuseppe Anzillotti, Imrane Gazali, Marco Minelli, Daniele D'Arrigo, Elizaveta Kon, Peter Verdonk

Abstract readReview
In one paragraph

Review in Current reviews in musculoskeletal medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Pietro ConteIRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano, Milan, Italy.ORCID http://orcid.org/0000-0001-5425-0652
Giuseppe AnzillottiIRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano, Milan, Italy. giuseppe.anzillotti@humanitas.it.ORCID http://orcid.org/0000-0001-9327-5350
Imrane GazaliORTHOCA, Antwerp, Belgium.
Marco MinelliIRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano, Milan, Italy.ORCID http://orcid.org/0000-0002-6342-2740
Daniele D'ArrigoIRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano, Milan, Italy.ORCID http://orcid.org/0000-0002-9595-6077
Elizaveta KonIRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano, Milan, Italy.ORCID http://orcid.org/0000-0003-0649-2336
Peter VerdonkORTHOCA, Antwerp, Belgium.ORCID http://orcid.org/0000-0001-6057-8590

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThis manuscript comprehensively reviews the most recent studies on preoperative and intraoperative factors that positively or negatively influence the clinical and radiological outcomes of arthroscopic partial meniscectomy (APM). RECENT

findingsInitial research focused on baseline demographic (e.g., age, sex, BMI) and meniscal tear characteristics to predict short- and medium-term outcomes. Recent investigations, however, have broadened this scope to include previously overlooked ancillary elements, such as socio-economic and psychological factors. Furthermore, non-meniscal anatomical features—including bony alignments and morphology, and joint stability—have been studied, along with surgical-related elements like the volume of resected tissue and the impact of specific surgical techniques. Crucially, long-term studies, some with over 20 years of follow up, are now available, offering a clearer understanding of the rates of symptomatic and asymptomatic osteoarthritic progression based on different baseline characteristics. While precisely predicting the clinical and radiological outcomes of APM remains challenging, this manuscript provides a comprehensive review of the most current evidence. It aims to help surgeons more adequately treat and counsel patients presenting with meniscal tears. Future research should prioritize developing and validating predictive algorithms that integrate the multitude of success and failure factors discussed in this review.

Indexed as

ArthroscopyKneeMeniscectomyMeniscusMorphotypeOsteoarthritisPredictorsProfilingSport medicine

Identifiers

PMID41910881
PMCPMC13035976

What OpenQuestion holds

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LicenceCC BY
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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.