Evidence map›Paper›PMID 39463871›Full record

ArticleMediterranean journal of rheumatology2024

Multicentric Osteolysis Nodulosis and Arthropathy (MONA): A Case Series and Review of the Literature.

Mahabaleshwar Mamadapur, Sabarinath Mahadevan, Ponniah Subramanian ArulRajamurugan, Srilakshmi Gandham, Swati Singh

Abstract read
In one paragraph

Article in Mediterranean journal of rheumatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Genetic and allelic heterogeneity in 248 Indians with skeletal dysplasia.European journal of human genetics : EJHG · 2025
    Article
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.

Mahabaleshwar MamadapurDepartment of Clinical Immunology and Rheumatology, JSS Medical College and Hospital, JSS Academy of Higher Research, Mysore, Karnataka, India.
Sabarinath MahadevanO.M. HEALTH CARE, Tamilnadu, India.
Ponniah Subramanian ArulRajamuruganMadras Medical College, Chennai, Tamil Nadu, India.
Srilakshmi GandhamKasturba Medical College Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Swati SinghDepartment of Medical Genetics, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multicentric Osteolysis Nodulosis and Arthropathy (MONA) is a rare skeletal disorder driven by mutations in the MMP2 gene, leading to bone and joint degradation. This case series presents three unique MONA cases, highlighting clinical, radiological, and genetic aspects. These insights shed light on the complexities of MONA, aiding early diagnosis and multidisciplinary management. Case 1 is a 13-year-old male, born to consanguineous parents, presented with a 5-year history of progressive joint deformities, pain, and difficulty walking. Initially diagnosed as juvenile idiopathic arthritis (JIA), despite treatment, his symptoms persisted. Examination revealed multiple clinical findings, including joint contractures and nodules. Genetic analysis identified a pathogenic variant in the MMP2 gene, confirming MONA. Case 2 and Case 3 were two siblings, aged 12 and 17 years respectively, who presented progressive joint contractures in their hands and feet since early childhood. Clinical examinations revealed contractures and subcutaneous nodules. Genetic analysis confirmed MONA with a shared homozygous pathogenic MMP2 variant, emphasising the genetic basis of this rare disorder.

Indexed as

juvenile idiopathic arthritisMMP2MONA syndromeosteolysisTorg Syndrome

Identifiers

PMID39463871
PMCPMC11500111

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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.