Evidence map›Paper›PMID 29157786›Full record

ArticleThe Journal of arthroplasty2018

The Seasonal Variability of Surgical Site Infections in Knee and Hip Arthroplasty.

Chris A Anthony, Ryan A Peterson, Daniel K Sewell, Linnea A Polgreen, Jacob E Simmering, John J Callaghan, Philip M Polgreen

Abstract read
In one paragraph

Article in The Journal of arthroplasty, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Changes in Trends of Shoulder and Knee Arthroscopy Because of the COVID-19 Pandemic.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2026
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  10. Warm Weather and Surgical Site Infections: A Meta-analysis.Plastic and reconstructive surgery. Global open · 2021
    Article
  11. Article
  12. 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

7 authors.

Chris A AnthonyDepartment of Orthopaedic Surgery and Rehabilitation, University of Iowa Hospitals and Clinics, Iowa City, Iowa; Innovation Laboratory, Signal Center, University of Iowa Hospitals and Clinics, Iowa City, Iowa.
Ryan A PetersonInnovation Laboratory, Signal Center, University of Iowa Hospitals and Clinics, Iowa City, Iowa; Department of Biostatistics, University of Iowa, Iowa City, Iowa.
Daniel K SewellDepartment of Biostatistics, University of Iowa, Iowa City, Iowa.
Linnea A PolgreenDepartment of Pharmacy Practice and Science, University of Iowa, Iowa City, Iowa.
Jacob E SimmeringInnovation Laboratory, Signal Center, University of Iowa Hospitals and Clinics, Iowa City, Iowa.
John J CallaghanDepartment of Orthopaedic Surgery and Rehabilitation, University of Iowa Hospitals and Clinics, Iowa City, Iowa.
Philip M PolgreenInnovation Laboratory, Signal Center, University of Iowa Hospitals and Clinics, Iowa City, Iowa; Department of Internal Medicine and Epidemiology, University of Iowa Hospitals and Clinics, Iowa City, Iowa.

Funding

Observational data and treatment effectiveness: which methods work best?K25HL122305 · NHLBI · UNIVERSITY OF IOWA · PI POLGREEN, LINNEA ANN · 2015 to 2018
$588k
NHLBI NIH HHS K25 HL122305
6 · The paper itself

Abstract

backgroundSurgical site infections (SSIs) after total knee (TKA) and total hip (THA) arthroplasty are devastating to patients and costly to healthcare systems. The purpose of this study is to investigate the seasonality of TKA and THA SSIs at a national level.

methodsAll data were extracted from the National Readmission Database for 2013 and 2014. Patients were included if they had undergone TKA or THA. We modeled the odds of having a primary diagnosis of SSI as a function of discharge date by month, payer status, hospital size, and various patient co-morbidities. SSI status was defined as patients who were readmitted to the hospital with a primary diagnosis of SSI within 30 days of their arthroplasty procedure.

resultsThere were 760,283 procedures (TKA 424,104, THA 336,179) in our sample. Our models indicate that SSI risk was highest for patients discharged from their surgery in June and lowest for December discharges. For TKA, the odds of a 30-day readmission for SSI were 30.5% higher at the peak compared to the nadir time (95% confidence interval [CI] 20-42). For THA, the seasonal increase in SSI was 19% (95% CI 9-30). Compared to Medicare, patients with Medicaid as the primary payer had a 49% higher odds of 30-day SSI after TKA (95% CI 32-68).

conclusionSSIs following TKA and THA are seasonal peaking in summer months. Payer status was also a significant risk factor for SSIs. Future studies should investigate potential factors that could relate to the associations demonstrated in this study.

Indexed as

SeasonsAdolescentAdultAgedAged, 80 and overArthroplasty, Replacement, HipArthroplasty, Replacement, KneeComorbidityDatabases, FactualFemaleHealth Care CostsHospitalsHumansMaleMedicaidMedicarehip arthroplastyknee arthroplastyseasonalitysurgical site infectiontemperatureweather

Identifiers

PMID29157786
PMCPMC5988362

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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.