Evidence map›Paper›PMID 41342988›Full record

Observational studyJournal of orthopaedics and traumatology : official journal of the Italian Society of Orthopaedics and Traumatology2025

Total hip arthroplasty in Italy: an observational, population-based study on surgical volume growth from 2001 to 2023 and forecasts until 2050 with six different statistical models.

Enrico Ciminello, Adriano Cuccu, Emilio Romanini, Michele Venosa, Gianpiero Cazzato, Gabriele Tucci, Filippo Boniforti, Luca Carpanese, Tiziana Falcone, Stefania Ceccarelli and 2 more

Abstract readObservational Study
In one paragraph

Observational study in Journal of orthopaedics and traumatology : official journal of the Italian Society of Orthopaedics and Traumatology, 2025. 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

12 authors.

Enrico Ciminello *Italian Implantable Prostheses Registry (RIPI), Italian National Institute of Health, Viale Regina Elena 299, 00161, Rome, Italy. enrico.ciminello@iss.it.ORCID http://orcid.org/0000-0002-6621-5480
Adriano Cuccu *Italian Implantable Prostheses Registry (RIPI), Italian National Institute of Health, Viale Regina Elena 299, 00161, Rome, Italy.
Emilio RomaniniRomaPro, Polo Sanitario San Feliciano, Via Mattia Battistini 44, 00167, Rome, Italy.
Michele VenosaRomaPro, Polo Sanitario San Feliciano, Via Mattia Battistini 44, 00167, Rome, Italy.
Gianpiero CazzatoRomaPro, Polo Sanitario San Feliciano, Via Mattia Battistini 44, 00167, Rome, Italy.
Gabriele TucciOspedale Dei Castelli, Ariccia, 00040, Rome, Italy.
Filippo BonifortiFondazione Istituto G. Giglio, 90015, Cefalù, Italy.
Luca CarpaneseItalian Implantable Prostheses Registry (RIPI), Italian National Institute of Health, Viale Regina Elena 299, 00161, Rome, Italy.
Tiziana FalconeItalian Implantable Prostheses Registry (RIPI), Italian National Institute of Health, Viale Regina Elena 299, 00161, Rome, Italy.
Stefania CeccarelliItalian Implantable Prostheses Registry (RIPI), Italian National Institute of Health, Viale Regina Elena 299, 00161, Rome, Italy.
Paola CiccarelliItalian Implantable Prostheses Registry (RIPI), Italian National Institute of Health, Viale Regina Elena 299, 00161, Rome, Italy.
Marina TorreItalian Implantable Prostheses Registry (RIPI), Italian National Institute of Health, Viale Regina Elena 299, 00161, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe number of total hip arthroplasty (THA) procedures has been steadily increasing worldwide, driven by aging population, improvements in surgical techniques and implant design. This study aimed to analyze the temporal trends of elective THA in Italy since 2001-2023 and forecast THA volumes up to 2050 to provide insights for healthcare planning. MATERIALS AND

methodsInternational Classification of Diseases, 9th Revision, Clinical Modification (ICD9-CM) coding system was used to extract records of interest (elective THA) from the Italian National Hospital Discharge Record database. Six statistical models were applied to forecast future THA volumes: logistic regression; Poisson regression; logarithmic regression; inverse/power regression; Poisson log-normal regression; and hierarchical Poisson regression with temporal effects (HPTE). Model performances were assessed by using error metrics and internal validation on the basis of a rolling-origin approach. An out-of-sample validation was conducted to ensure a robust assessment of forecasting reliability. THA volume forecasts were provided with 95% prediction intervals.

resultsA total of 1,318,400 records for primary elective THAs performed in Italy since 2001-2023 were analyzed. The number of THAs increased by approximately 80%, rising from 68.270 in 2001 to 122.777 in 2023. Among the tested models, HPTE generally showed the best fitting and forecasting performances. By using the HPTE model, the forecasts showed an increase in THA volumes up to a maximum rate ratio (RR) of 1.3 (PI

conclusionsOur findings forecast a steady increase between 10% and 40% in THA, driven by demographic and epidemiological trends. These projections are essential for anticipating future surgical demand and guiding healthcare system planning. Without adequate investment and strategic planning, rising volumes may strain service capacity and sustainability. LEVEL OF EVIDENCE: population based study, level 1 evidence.

Indexed as

Arthroplasty, Replacement, HipElective Surgical ProceduresModels, StatisticalAdultAgedAged, 80 and overFemaleForecastingHumansItalyMaleMiddle AgedArthroplastyEpidemiologyForecastingHip replacementProjectionsTrends

Identifiers

PMID41342988
PMCPMC12779807

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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.