Evidence map›Paper›PMID 35419705›Full record

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

Decreased patient comorbidities and post-operative complications in technology-assisted compared to conventional total knee arthroplasty.

Ryan J O'Rourke, Anthony J Milto, Brian P Kurcz, Steven L Scaife, D Gordon Allan, Youssef El Bitar

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Article 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Ryan J O'RourkeDivision of Orthopaedic Surgery, Southern Illinois University School of Medicine, P.O. Box 19638, Springfield, IL, 62794-9679, USA.
Anthony J MiltoDivision of Orthopaedic Surgery, Southern Illinois University School of Medicine, P.O. Box 19638, Springfield, IL, 62794-9679, USA.
Brian P KurczDivision of Orthopaedic Surgery, Southern Illinois University School of Medicine, P.O. Box 19638, Springfield, IL, 62794-9679, USA.
Steven L ScaifeCenter for Clinical Research, Southern Illinois University School of Medicine, Springfield, IL, USA.
D Gordon AllanDivision of Orthopaedic Surgery, Southern Illinois University School of Medicine, P.O. Box 19638, Springfield, IL, 62794-9679, USA.
Youssef El BitarDivision of Orthopaedic Surgery, Southern Illinois University School of Medicine, P.O. Box 19638, Springfield, IL, 62794-9679, USA. yelbitar65@siumed.edu.
Southern Illinois University School of Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe use of computer-assisted and robotic surgery was developed to improve component position and outcomes of total knee arthroplasty (TKA). The goal of this study is to identify differences in patient demographics, comorbidities, and complications between technology-assisted and conventional TKA.

methodsA Nationwide Inpatient Sample database was used to identify patients who underwent technology-assisted and conventional TKA from 2016 to 2018. Analysed variables include demographics, length of stay (LOS), payer-status, geographic region, comorbidities, complications, and mortality. Univariate and multivariate analyses were performed to identify differences between both groups.

resultsThe analysis includes 2,208,434 TKA patients, of which 2,054,879 (93.05%) were conventional and 153,555 (6.95%) were technology assisted. Patients undergoing technology-assisted TKA were more likely to be older than 65 years, had higher median income quartile, and had surgery in urban teaching hospitals. Patients were less likely to undergo technology-assisted TKA if they were female gender, had Medicare payer status, were black race, were obese, were living in rural location, or had higher Charlson comorbidity score and baseline comorbidities. Technology-assisted TKA patients had shorter LOS, and fewer pulmonary and infection complications.

conclusionPatients undergoing technology-assisted TKA are being carefully selected with less baseline comorbidities, improved health, and living in urban areas. Subsequently, those carefully selected patients are discharged home, have a shorted hospital LOS, and have fewer complications compared to conventional TKA. Rural patients, black race and female gender are less likely to undergo technology-assisted TKA, further emphasizing the healthcare disparity for that segment of the population. LEVEL OF EVIDENCE: Therapeutic level III.

Indexed as

Arthroplasty, Replacement, KneeAgedComorbidityFemaleHumansLength of StayMaleMedicarePostoperative ComplicationsRisk FactorsUnited StatesComorbiditiesComplicationsComputer assistedDatabaseMortalityRoboticTotal knee arthroplasty

Identifiers

PMID35419705
OpenAlexW4223963058

What OpenQuestion holds

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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.