Evidence map›Paper›PMID 40686663›Full record

ArticleArthroplasty today2025

Complications, Conversion, and Secondary Procedures Following Minimally Invasive Periacetabular Osteotomy: A Single-Surgeon Case Series.

Mohammad H Amer, Yash Pursun, Christian Smith, Karadi H Sunil Kumar, Ajay Malviya

Abstract read
In one paragraph

Article in Arthroplasty today, 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

5 authors.

Mohammad H AmerOrthopaedic Department, Northumbria Healthcare NHS Foundation Trust, Northumbria House, Cobalt Business Park, Newcastle Upon Tyne, UK.
Yash PursunNewcastle University Medical School The Medical School, Newcastle University, Newcastle upon Tyne, UK.
Christian SmithGuy's and St Thomas' NHS Foundation trust, St Thomas' Hospital, London, UK.
Karadi H Sunil KumarCambridge University Hospitals NHS Foundation Trust, Addenbrooke's Hospital, Cambridge, UK.
Ajay MalviyaOrthopaedic Department, Northumbria Healthcare NHS Foundation Trust, Northumbria House, Cobalt Business Park, Newcastle Upon Tyne, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The introduction of minimally invasive periacetabular osteotomy (PAO) has reduced complications, allowing a broader range of patients to be considered for the procedure. This study aimed to identify patient-specific risk factors for poor outcomes. Methods: This retrospective case series (n = 513) used data from a local hip registration registry. Isolated PAOs with at least 1-year follow-up were included. Electronic records were reviewed to extract demographics and variables. The primary outcome was complication rate, with secondary outcomes including secondary procedures and conversion to total hip arthroplasty. Logistic regression was performed to correlate independent variables to outcomes, and Kaplan-Meier analysis assessed the survival of the native hip and cumulative complication risk. Results: Complication rate was 6.2%. Higher body mass index (BMI), smoking, Tönnis grade 2, and increasing age were associated with higher odds of complications ( Conclusions: Minimally invasive PAO has acceptable rates of complication and conversion at mid-term follow-up. Age, BMI, smoking status, and Tönnis grade 2 are associated with inferior outcomes. Knowledge of patient-specific risk factors can help in decision-making, expectation setting, and perioperative interventions.

Indexed as

ComplicationsPeriacetabular osteotomyRisk factors

Identifiers

PMID40686663
PMCPMC12272465

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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.