Evidence map›Paper›PMID 38936340›Full record

ReviewThe British journal of radiology2024

Rapidly destructive hip osteoarthritis: a diagnosis not to miss.

Hoi Ting Hatty Chau, Pui Yi Wong, Nin Yuan Pan, Ka Fai Johnny Ma

Abstract readReview
In one paragraph

Review in The British journal of radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Non-neoplastic Orthopedic Pathology - A Systematic Review.Journal of orthopaedic case reports · 2026
    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

4 authors.

Hoi Ting Hatty ChauRadiology Department, Princess Margaret Hospital, 2-10 Princess Margaret Hospital Road, Kowloon, Hong Kong SAR.ORCID 0000-0002-1258-6585
Pui Yi WongRadiology Department, Princess Margaret Hospital, 2-10 Princess Margaret Hospital Road, Kowloon, Hong Kong SAR.
Nin Yuan PanRadiology Department, Princess Margaret Hospital, 2-10 Princess Margaret Hospital Road, Kowloon, Hong Kong SAR.
Ka Fai Johnny MaRadiology Department, Princess Margaret Hospital, 2-10 Princess Margaret Hospital Road, Kowloon, Hong Kong SAR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review illustrates the imaging features of rapidly destructive hip osteoarthritis (RDHO) across different imaging modalities. RDHO is a rare joint disease of unknown aetiology resulting in rapid deterioration of the hip joints. Patients often present with severe hip pain and can progress to complete joint destruction in 6 months to 3 years causing disability. Since its clinical and imaging features often overlap with other conditions, the diagnosis is easily missed in daily practice. The purpose of this paper is to outline the characteristic imaging features of RDHO, aiming to enhance awareness of this disease entity and promote timely treatment for patients. Sequential radiographs are particularly important in demonstrating the rapid progression of radiographic findings and with the early recognition of characteristic features, diagnosis can be made to avoid treatment delay. Although CT scan is not necessary for diagnosis, it is useful in evaluating the extent of joint destruction and guiding surgical planning. MRI can provide additional information and rule out other pathologies with similar symptoms. Overall, radiographs, CT and MRI are common modalities used in the evaluation of RDHO.

Indexed as

Magnetic Resonance ImagingOsteoarthritis, HipTomography, X-Ray ComputedDiagnosis, DifferentialDisease ProgressionHip JointHumansarthritishipimagingrapidly destructive hip osteoarthritisrapidly destructive osteoarthritis

Identifiers

PMID38936340
PMCPMC11332667

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.