Evidence map›Paper›PMID 35984446›Full record

SynthesisKnee surgery, sports traumatology, arthroscopy : official journal of the ESSKA2023

Use of intraoperative technology in total knee arthroplasty is not associated with reductions in postoperative pain.

Andrew G Kim, Zachary Bernhard, Alexander J Acuña, Victoria S Wu, Atul F Kamath

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% of its field
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Efficacy and Safety of Electroacupuncture for Pain Alleviation in Post-Total Knee Arthroplasty Patients: A Systematic Review and Meta-Analysis.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Pooled it
  2. Article
  3. Article
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  8. Best practice in digital orthopaedics.EFORT open reviews · 2023
    Review
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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

5 authors at 1 institution in 1 country.

Andrew G KimDepartment of Orthopaedic Surgery, Cleveland Clinic Foundation, Cleveland, OH, 44195, USA.
Zachary BernhardDepartment of Orthopaedic Surgery, Cleveland Clinic Foundation, Cleveland, OH, 44195, USA.
Alexander J AcuñaDepartment of Orthopaedic Surgery, Cleveland Clinic Foundation, Cleveland, OH, 44195, USA.
Victoria S WuDepartment of Orthopaedic Surgery, Cleveland Clinic Foundation, Cleveland, OH, 44195, USA.
Atul F KamathDepartment of Orthopaedic Surgery, Cleveland Clinic Foundation, Cleveland, OH, 44195, USA. kamatha@ccf.org.ORCID http://orcid.org/0000-0002-9214-2756
Cleveland Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeOur systematic review and meta-analysis sought to assess how technology-assistance impacts (1) post-operative pain and (2) opioid use in patients undergoing primary total knee arthroplasty (TKA).

methodsFour online databases were queried for studies published up to October 2021 that reported on pain and opioid usage between technology-assisted and manual TKA (mTKA) patients. Mantel-Haenszel (M-H) models were utilized to calculate pooled mean difference (MDs) and 95% confidence interval (CIs). Subgroup analyses were conducted to isolate robotic-arm assisted (RAA) and computed-assisted navigation (CAN) cohorts. Risk of bias was assessed for all included non-randomized studies with the Methodological Index for Non-Randomized Studies (MINORS) tool. For the randomized control trials included in our study, the Detsky scale was applied.

resultsOur analysis included 31 studies, reporting on a total of 761,300 TKAs (mTKA: n = 753,554; Computer-Assisted Navigation (CAN): n = 1,309; Robotic-Arm Assisted (RAA): n = 6437). No differences were demonstrated when evaluating WOMAC (MD: 0.00, 95% CI - 0.69 to 0.69; p = 1.00), KSS (MD: 0.01, 95% CI - 1.46 to 1.49; p = 0.99), KOOS (MD - 2.91, 95% CI - 6.17 to 0.34; p = 0.08), and VAS (MD - 0.54, 95% CI - 1.01 to - 0.007; p = 0.02) pain scores between cohorts. There was mixed evidence regarding how opioid consumption differed between TKA techniques.

conclusionThe present analysis demonstrated no difference in terms of pain across a variety of utilized patient-reported pain measurements. However, there were mixed results regarding how opioid consumption varied between manual and technology-assisted cohorts, particularly in the immediate post-operative period. LEVEL OF EVIDENCE: III.

Indexed as

Arthroplasty, Replacement, KneeOpioid-Related DisordersAnalgesics, OpioidHumansKnee JointPostoperative PainRandomized Controlled Trials as TopicAnalgesics, OpioidComputer-assisted navigation (CAN)Morphine milliequivalents (MME)Opioid consumptionPainRobotic-arm assisted (RAA) TKATechnology assistanceTotal knee arthroplasty (TKA)

Identifiers

PMID35984446
OpenAlexW4292370269

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.