Evidence map›Paper›PMID 41476617›Full record

ArticleRevista brasileira de ortopedia2025

Results of Total Knee Arthroplasty with Robotic Assistance.

Joao Paulo Fernandes Guerreiro, Julia Canassa Pinto, Livia Schauff, Tiago Delfino Pedrollo, Paulo Roberto Bignardi, Marcus Vinicius Danieli

Abstract read
In one paragraph

Article in Revista brasileira de ortopedia, 2025. 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

6 authors.

Joao Paulo Fernandes GuerreiroPontifícia Universidade Católica do Paraná, Londrina, PR, Brazil.ORCID 0000-0002-2026-9176
Julia Canassa PintoPontifícia Universidade Católica do Paraná, Londrina, PR, Brazil.ORCID 0009-0008-3498-5481
Livia SchauffPontifícia Universidade Católica do Paraná, Londrina, PR, Brazil.ORCID 0009-0005-0384-4772
Tiago Delfino PedrolloPontifícia Universidade Católica do Paraná, Londrina, PR, Brazil.ORCID 0009-0004-0424-1511
Paulo Roberto BignardiPontifícia Universidade Católica do Paraná, Londrina, PR, Brazil.ORCID 0000-0002-4730-0946
Marcus Vinicius DanieliPontifícia Universidade Católica do Paraná, Londrina, PR, Brazil.ORCID 0000-0001-7547-7557

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the outcomes of total knee arthroplasty (TKA) when assisted by a robotic arm compared with the conventional approach. Methods: We conducted a retrospective cohort study including 96 patients who underwent TKA, assigned to either the robotic-assisted (RA) group or a conventional technique (CT) groups. All surgeries were performed without the use of a tourniquet and included administration of intravenous tranexamic acid. Patients were matched based on sex, age, and preoperative hemoglobin (Hb) and hematocrit (Ht) values. Key outcomes evaluated were perioperative blood loss (assessed through changes in Hb and Ht), operative duration, length of hospital stay, and postoperative complications up to 6 months. Results: There were 34 patients from each group successfully matched for analysis. There were no significant differences between the groups regarding Hb or Ht reduction (RA: Hb -2.27 ± 1.21 g/dL, Ht -6.56 ± 3.43%; vs. CT: Hb -2.00 ± 1.07 g/dL, Ht -5.85 ± 3.26%; Conclusion: Robotic-assisted TKA was not associated with measurable improvements in blood loss, operative time, or postoperative complications. However, it contributed to a reduction in hospital stay compared with the conventional technique.

Indexed as

arthroplastyblood loss, surgicalkneerobotic surgical procedures

Identifiers

PMID41476617
PMCPMC12753177

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.