Evidence map›Paper›PMID 31136444›Full record

ArticleClinical orthopaedics and related research2019

How Does Mortality Risk Change Over Time After Hip and Knee Arthroplasty?

Ian A Harris, Alesha Hatton, Nicole Pratt, Michelle Lorimer, Justine M Naylor, Richard de Steiger, Peter Lewis, Stephen E Graves

Open access · greenAbstract read
In one paragraph

Article in Clinical orthopaedics and related research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

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  5. COVID-19: lessons learnt and priorities in trauma and orthopaedic surgery.Annals of the Royal College of Surgeons of England · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 4 countries.

Ian A HarrisI. A. Harris, J. M. Naylor, Ingham Institute for Applied Medical Research, South Western Sydney Clinical School, Faculty of Medicine, UNSW Sydney, Liverpool, Australia I. A. Harris, Institute for Musculoskeletal Health, School of Public Health, Faculty of Medicine, University of Sydney, NSW, Australia I.A. Harris, R. de Steiger, P. Lewis, S. E. Graves, Australian Orthopaedic Association National Joint Replacement Registry, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia A. Hatton, M. Lorimer, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia N. Pratt, S. E. Graves, University of South Australia, Adelaide, South Australia, Australia R. de Steiger, Department of Surgery, Epworth Healthcare, University of Melbourne, Melbourne, Victoria, Australia.
Alesha Hatton
Nicole Pratt
Michelle Lorimer
Justine M Naylor
Richard de Steiger
Peter Lewis
Stephen E Graves
Herat University · AF

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMortality after THA and TKA is lower than expected for several years after surgery when compared with age- and sex-adjusted population data. With long-term followup (beyond approximately 10 years), some evidence has suggested that this trend reverses, such that postsurgical mortality is higher than expected as more time passes. However, the degree to which this may be the case has not been clearly established. QUESTIONS/PURPOSES: In this large-registry study, we asked: What is the long-term mortality after THA and TKA compared with the expected mortality, adjusted for age, sex, and calendar year.

methodsUsing data on 243,057 THAs and 363,355 TKAs performed for osteoarthritis from the Australian Orthopaedic Association National Joint Replacement Registry (AOANJRR) from 2003 to 2016, and life tables from the Australian Bureau of Statistics the Standardised Mortality Ratio (SMR), relative mortality and excess mortality (relative to the expected mortality for people of the same sex and age in the same country) was calculated separately for hips and knees. The AOANJRR contains near-complete (98%-100%) data from all hospitals in Australia performing arthroplasty but does not include followup data on people who have left the country. Followup was from the date of surgery to 13 years, mean 5.8 years.

resultsWe found a lower-than-expected mortality for THA and TKA in the early years after surgery. This association diminished over time and the mortality became higher than expected after 12 years for both THA and TKA. For THA, the excess mortality (per thousand people) increased from 11 fewer deaths (95% CI, 10-11 fewer) after 1 year to four more deaths (95% CI, 0-9 more) in the 13th year, and the SMR increased from 0.50 (95% CI, 0.48-0.52) after 1 year to 1.07 (95% CI, 0.99-1.14) in the 13th year. For TKA, the excess mortality (per thousand people) increased from 12 fewer deaths (95% CI, 12-13 fewer) after 1 year to five more deaths (95% CI 2-9 more) in the 13th year, and the SMR increased from 0.39 (95% CI, 0.37-0.40) after 1 year to 1.09 (95% CI, 1.03-1.15) in the 13th year.

conclusionsMortality after hip and knee arthroplasty is lower than expected (based on population norms) in the first 8 years to 9 years but gradually increases over time, becoming higher than expected after 12 years. The lower-than-expected mortality in the early years after surgery is likely the result of patient selection with patients undergoing primary arthroplasty having better health at the time of surgery than that of the age- and sex-matched population. The increasing mortality over time cannot be regression to the mean, as late mortality is higher than expected, moving beyond the mean. It is important to understand if there are modifiable factors associated with this increased mortality. The reasons for the change are uncertain. Factors to consider in future research include determining the effect of different patient factors on late mortality. Some of these included higher obesity rates for joint replacement patients and the association or causal impact of osteoarthritis and/or its treatment to increase late mortality in a similar manner to other forms of arthritis. There is also a possibility that the arthroplasty device itself may affect late mortality. LEVEL OF EVIDENCE: Level III, therapeutic study.

Indexed as

AgedArthroplasty, Replacement, HipArthroplasty, Replacement, KneeAustraliaFemaleHumansMaleMiddle AgedPostoperative ComplicationsRegistriesRisk Factors

Identifiers

PMID31136444
PMCPMC6554112
OpenAlexW2946439069

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.