Evidence map›Paper›PMID 38998857›Full record

ArticleHealthcare (Basel, Switzerland)2024

The Future of Total Elbow Arthroplasty: A Statistical Forecast Model for Germany.

Felix Krane, Vincent Johann Heck, Jannik Leyendecker, Kristina Klug, Alexander Klug, Michael Hackl, Jörn Kircher, Lars Peter Müller, Tim Leschinger

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2024. 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

9 authors.

Felix KraneUniversity Hospital Cologne, Department of Orthopedics, Trauma and Plastic Surgery, University of Cologne, Kerpener Str. 62, 50937 Cologne, Germany.ORCID 0009-0000-6001-5747
Vincent Johann HeckUniversity Hospital Cologne, Department of Orthopedics, Trauma and Plastic Surgery, University of Cologne, Kerpener Str. 62, 50937 Cologne, Germany.ORCID 0000-0002-2541-6032
Jannik LeyendeckerUniversity Hospital Cologne, Department of Orthopedics, Trauma and Plastic Surgery, University of Cologne, Kerpener Str. 62, 50937 Cologne, Germany.ORCID 0009-0002-4439-4702
Kristina KlugDepartment of Psychology, Goethe-University Frankfurt, Theodor-W.-Adorno Platz 6, PEG, 60629 Frankfurt am Main, Germany.
Alexander KlugDepartment of Trauma and Orthopedic Surgery, BG Unfallklinik Frankfurt am Main, Friedberger Landstr. 430, 60389 Frankfurt am Main, Germany.
Michael HacklUniversity Hospital Cologne, Department of Orthopedics, Trauma and Plastic Surgery, University of Cologne, Kerpener Str. 62, 50937 Cologne, Germany.ORCID 0000-0002-6183-5621
Jörn KircherDepartment of Shoulder and Elbow Surgery, ATOS Klinik Fleetinsel Hamburg, Admiralitätstrasse 3-4, 20459 Hamburg, Germany.ORCID 0000-0002-9285-5836
Lars Peter MüllerUniversity Hospital Cologne, Department of Orthopedics, Trauma and Plastic Surgery, University of Cologne, Kerpener Str. 62, 50937 Cologne, Germany.
Tim LeschingerUniversity Hospital Cologne, Department of Orthopedics, Trauma and Plastic Surgery, University of Cologne, Kerpener Str. 62, 50937 Cologne, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study provides a statistical forecast for the development of total elbow arthroplasties (TEAs) in Germany until 2045. The authors used an autoregressive integrated moving average (ARIMA), Error-Trend-Seasonality (ETS), and Poisson model to forecast trends in total elbow arthroplasty based on demographic information and official procedure statistics. They predict a significant increase in total elbow joint replacements, with a higher prevalence among women than men. Comprehensive national data provided by the Federal Statistical Office of Germany (Statistisches Bundesamt) were used to quantify TEA's total number and incidence rates. Poisson regression, exponential smoothing with Error-Trend-Seasonality, and autoregressive integrated moving average models (ARIMA) were used to predict developments in the total number of surgeries until 2045. Overall, the number of TEAs is projected to increase continuously from 2021 to 2045. This will result in a total number of 982 (TEAs) in 2045 of mostly elderly patients above 80 years. Notably, female patients will receive TEAs 7.5 times more often than men. This is likely influenced by demographic and societal factors such as an ageing population, changes in healthcare access and utilization, and advancements in medical technology. Our projection emphasises the necessity for continuous improvements in surgical training, implant development, and rehabilitation protocols.

Indexed as

demographic developmentelbow replacementforecasttotal arthroplastytotal elbow arthroplasty

Identifiers

PMID38998857
PMCPMC11241371

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.