Evidence map›Paper›PMID 41732259›Full record

ReviewiScience2026

Application and benefit analysis of needle arthroscopy for joint disease diagnosis and treatment.

Mingda Liu, Qinghui Zeng, Kai Zhu, Jianwen Xu, Ming Yan

Abstract readReview
In one paragraph

Review in iScience, 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. 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

5 authors.

Mingda LiuChangchun University of Chinese Medicine, Bo_Shuo Road 1035, Changchun 130117, P.R. China.
Qinghui ZengChangchun University of Chinese Medicine, Bo_Shuo Road 1035, Changchun 130117, P.R. China.
Kai ZhuChangchun University of Chinese Medicine, Bo_Shuo Road 1035, Changchun 130117, P.R. China.
Jianwen XuChangchun University of Chinese Medicine, Bo_Shuo Road 1035, Changchun 130117, P.R. China.
Ming YanChangchun University of Chinese Medicine, Bo_Shuo Road 1035, Changchun 130117, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Needle arthroscopy (NA) is a minimally invasive surgical device that has transformed the management of joint diseases. Characterized by a diameter of less than 2 mm, NA is a cornerstone of minimally invasive orthopedic procedures. The clinical utility of NA has been extensively validated in numerous studies. Studies indicate that NA demonstrates high diagnostic performance for intra-articular pathologies, with reported sensitivity and specificity reaching up to 94.4% and 96.7%, respectively. Moreover, it enables an integrated "diagnosis-decision-treatment" approach, which has been shown to reduce the average cost of management by approximately 50% and shorten the diagnostic period by up to two weeks. However, the steep learning curve associated with using 0° optical systems imposes limitations on its widespread adoption. Additionally, the inherent limited mechanical strength of NA instruments may increase the procedural risk of iatrogenic injury. This review summarizes recent advances and cost-benefit analyses of NA in the management of joint diseases, aiming to provide a valuable reference for its future clinical translation and wider application. This technological advancement holds the potential to revolutionize the management of joint diseases, rendering procedures minimally invasive, precise, and cost-effective. Thereby, it promises to facilitate a technological innovation toward clinic-based, minimally invasive management of joint diseases.

Indexed as

Health sciencesMedical specialtyMedicineOrthopedicsSurgery

Identifiers

PMID41732259
PMCPMC12925529

What Socratic 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 Socratic graph.