Evidence map›Paper›PMID 36999894›Full record

SynthesisThe Kaohsiung journal of medical sciences2023

Robotic arm use for upper limb rehabilitation after stroke: A systematic review and meta-analysis.

Bih-O Lee, Ita Daryanti Saragih, Sakti Oktaria Batubara

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in The Kaohsiung journal of medical sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 4 pooled it
–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

12 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  6. Review
  7. Optimizing Cross-Modal Matching for Multimodal Motor Rehabilitation.IEEE ... International Conference on Rehabilitation Robotics : [proceedings] · 2025
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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

3 authors.

Bih-O LeeCollege of Nursing, Kaohsiung Medical University, Kaohsiung, Taiwan.ORCID https://orcid.org/0000-0003-1903-8378
Ita Daryanti SaragihCollege of Nursing, Kaohsiung Medical University, Kaohsiung, Taiwan.ORCID https://orcid.org/0000-0002-7177-5933
Sakti Oktaria BatubaraFaculty of Health, Universitas Citra Bangsa, Kupang, Indonesia.ORCID https://orcid.org/0000-0003-4180-1974

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several studies have reported the effects of robotic arms on improving upper limb function in patients with stroke. However, previous studies have reported inconsistent findings that may lead to incorrect applications of robotic arm use. Six databases were searched for relevant randomized controlled trials. Meta-analyses were performed for upper limb performance measures, including subgroup analysis of pooled upper limb rehabilitation data such as stroke stage and intervention delivery dose. Furthermore, the Cochrane risk-of-bias tool for randomized trials version 2 (RoB 2) and sensitivity analysis were used to assess methodology and determine publication bias. The final analysis included 18 studies. Robotic arms improved upper limb and hand function in patients with stroke. Subgroup analysis revealed that robotic arm interventions lasting 30-60 min per session significantly improved upper limb function. However, no significant improvement was observed in shoulder and elbow or wrist and hand movements. This review may help develop applicable rehabilitation robots and collaboration between clinicians.

Indexed as

Robotic Surgical ProceduresStrokeStroke RehabilitationHumansRecovery of FunctionUpper Extremityrehabilitationrobotic armstrokesystematic reviewupper limb

Identifiers

PMID36999894
PMCPMC11895899

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.