Evidence map›Paper›PMID 41961845›Full record

SynthesisPloS one2026

The effectiveness of dry needling at myofascial trigger points for knee disorders: A quantitative synthesis of randomized controlled trials.

Xin Hu, Ting Lei, Zheng Liu, Zhenchao Xu, Guanghui Zhu

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PloS one, 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

5 authors.

Xin HuDepartment of Orthopedics, The Affiliated Children's Hospital of Xiangya School of Medicine, Central South University (Hunan Children's Hospital), Hunan Provincial Key Laboratory of Pediatric Orthopedics, Changsha, Hunan, PR China.
Ting LeiDepartment of Orthopedics, The Affiliated Children's Hospital of Xiangya School of Medicine, Central South University (Hunan Children's Hospital), Hunan Provincial Key Laboratory of Pediatric Orthopedics, Changsha, Hunan, PR China.
Zheng LiuDepartment of Orthopedics, The Affiliated Children's Hospital of Xiangya School of Medicine, Central South University (Hunan Children's Hospital), Hunan Provincial Key Laboratory of Pediatric Orthopedics, Changsha, Hunan, PR China.
Zhenchao XuDepartment of Orthopedics, The Affiliated Children's Hospital of Xiangya School of Medicine, Central South University (Hunan Children's Hospital), Hunan Provincial Key Laboratory of Pediatric Orthopedics, Changsha, Hunan, PR China.
Guanghui ZhuDepartment of Orthopedics, The Affiliated Children's Hospital of Xiangya School of Medicine, Central South University (Hunan Children's Hospital), Hunan Provincial Key Laboratory of Pediatric Orthopedics, Changsha, Hunan, PR China.ORCID https://orcid.org/0009-0005-8550-3364

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDry needling (DN) targeting myofascial trigger points (MTrPs) has been proposed as a treatment for knee disorders, including knee osteoarthritis (KOA) and patellofemoral pain syndrome (PFPS). This meta-analysis evaluated the effectiveness of DN in improving pain and function in patients with knee disorders.

methodsThis meta-analysis was conducted in accordance with PRISMA 2020 guidelines and was prospectively registered in PROSPERO (CRD420261294603). Systematic searches were performed in PubMed, Embase, Web of Science, Cochrane CENTRAL, CNKI, Wanfang, and VIP databases from inception to December 2025 for randomized controlled trials (RCTs) comparing DN targeting MTrPs with sham DN, no intervention, or other active treatments for knee disorders. Primary outcomes were pain intensity measured by the Visual Analog Scale (VAS) and Numeric Pain Rating Scale (NPRS). Secondary outcomes included functional status assessed by the WOMAC functional subscale and the Kujala Patellofemoral Score. Weighted mean differences (WMDs) were calculated using random-effects models. Risk of bias was assessed using the Cochrane Risk of Bias 2 (RoB 2) tool, and certainty of evidence was evaluated using the GRADE framework.

resultsTwenty RCTs (n = 1,234; mean age range: 22-69 years) met the inclusion criteria. Compared with controls, DN significantly reduced knee pain across all pain measures: NPRS (WMD = -1.00, 95% CI: -1.25 to -0.76; I² = 0.0%), VAS (WMD = -1.19, 95% CI: -1.73 to -0.66; I² = 80.4%), and WOMAC Pain subscale (WMD = -1.76, 95% CI: -2.57 to -0.95; I² = 67.6%), with an overall pooled pain reduction of WMD = -1.25 (95% CI: -1.58 to -0.92; I² = 74.7%). DN also significantly improved knee function as measured by the WOMAC functional subscale (WMD = -6.59, 95% CI: -8.88 to -4.29; I² = 61.6%) and the Kujala Patellofemoral Score (WMD = 6.39, 95% CI: 4.64 to 8.14; I² = 30.1%). Pre-specified sensitivity analyses using standardized mean differences confirmed the robustness of these findings. The overall risk of bias was moderate, with concerns primarily related to inadequate blinding of participants and outcome assessors. The GRADE certainty of evidence was rated as moderate for all primary outcomes.

conclusionDN targeting MTrPs provides significant short-term pain relief and functional improvement in KOA and PFPS, with pain reductions approaching clinically important thresholds. However, substantial heterogeneity, blinding limitations, and short follow-up necessitate cautious interpretation, and high-quality long-term RCTs are needed.

Indexed as

Dry NeedlingKnee JointOsteoarthritis, KneePatellofemoral Pain SyndromeTrigger PointsHumansMyofascial Pain SyndromesPain MeasurementRandomized Controlled Trials as TopicTreatment Outcome

Identifiers

PMID41961845
PMCPMC13068212

What OpenQuestion holds

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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.