Evidence map›Paper›PMID 34556374›Full record

SynthesisChinese journal of traumatology = Zhonghua chuang shang za zhi2022

Robotic arm-assisted arthroplasty: The latest developments.

Xin Chen, Shu Deng, Mao-Lin Sun, Rui He

Abstract readSystematic Review
In one paragraph

Synthesis in Chinese journal of traumatology = Zhonghua chuang shang za zhi, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. [Progress and future prospects of robot-assisted total hip arthroplasty].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2026
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  8. A review of robotic-assisted total hip arthroplasty.Biomedical engineering letters · 2023
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  13. Robotics in Total Hip Arthroplasty: Current Concepts.Journal of clinical medicine · 2022
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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

4 authors.

Xin ChenCenter for Joint Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Shu DengCenter for Joint Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Mao-Lin SunCenter for Joint Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Rui HeCenter for Joint Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China. Electronic address: abba315@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Joint arthroplasty is an effective method for treating end-stage joint lesions and damages. Robotic arm-assisted arthroplasty, a rapidly developing technology that combines navigation technology, minimally invasive technology, and precise control technology of the robotic arm, can achieve accurate preoperative planning, optimal selection of implants, minimally invasive surgery, precise osteotomy, and accurate placement of the artificial joint. It has the characteristics of high accuracy and stability, and thus is more and more widely used in the field of joint surgery. In this paper, we systematically reviewed the application and clinical efficacy of robotic arm-assisted technology in hip and knee arthroplasty to provide reference for its future promotion.

Indexed as

Arthroplasty, Replacement, KneeRobotic Surgical ProceduresHumansKnee JointMinimally Invasive Surgical ProceduresTreatment OutcomeArthroplastyClinical efficacyHipKneeRobotic arm

Identifiers

PMID34556374
PMCPMC9125720

What OpenQuestion holds

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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.