Evidence map›Paper›PMID 31919568›Full record

ArticleInternational orthopaedics2020

Computerized navigation for total hip arthroplasty is associated with lower complications and ninety-day readmissions: a nationwide linked analysis.

Elizabeth B Gausden, Joseph E Popper, Peter K Sculco, Barret Rush

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in International orthopaedics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 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, 1 synthesis or guideline pooled it.

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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.

Elizabeth B GausdenDepartment of Orthopedics, Hospital for Special Surgery, 535 E. 70th Street, New York, NY, 10021, USA. GausdenE@hss.edu.ORCID http://orcid.org/0000-0001-8596-3292
Joseph E PopperMohawk Valley Orthopedics, Amsterdam, NY, USA.
Peter K SculcoDepartment of Orthopedics, Hospital for Special Surgery, 535 E. 70th Street, New York, NY, 10021, USA.
Barret RushDivision of Critical Care Medicine, University of Manitoba, Winnipeg, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe objective was to evaluate if the use of CA-THA was associated with lower complications in the first 90 days following THA compared with conventional THA.

methodsThe Nationwide Readmission Database (NRD) was queried to identify patients who underwent THA between 2012 and 2014. The primary outcome was arthroplasty-related complications within the first 90 days following THA. Multivariate models predicting the risk of complications, readmission, and revision-related readmission within 90 days of discharge were created.

resultsA total of 309,252 patients with a minimum 90-day follow-up following elective primary THA were identified. After controlling for age, sex, comorbidities, indication, income, and type of insurance, the use of CA during THA resulted in a 12% reduced odds of 90-day complications (OR 0.88, 95% CI 0.77-0.99, p = 0.04). DISCUSSION: The use of CA-THA resulted in lower 90-day complication rates and readmission rates compared with traditional THA after controlling for confounding variables. There was no significant difference in the rates of revision surgery between the groups within the first 90 days.

Indexed as

AgedArthroplasty, Replacement, HipComorbidityDatabases, FactualFemaleHip JointHumansJoint DiseasesMaleMiddle AgedPatient ReadmissionPostoperative ComplicationsReoperationRisk FactorsStereotaxic TechniquesSurgery, Computer-AssistedComplications following total hip arthroplastyComputer-assisted total hip arthroplastyTHA

Identifiers

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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.