Inflammatory myopathy with abundant macrophage [IMAM]: Systemic analysis and pathological approach to distinguish it from dermatomyositis
Bibliographic record
Abstract
Background: Inflammatory myopathy with abundant macrophage [IMAM] is marked by macrophage infiltration and muscle fibers damage, resembling dermatomyositis [DM] but with unique pathology. Its mechanism remains unclear. Our study focused on exploring the clinicopathological characteristics, underlying pathogenic mechanisms, and the challenges in diagnosing and managing IMAM. Methods: A systematic analysis of medical literature databases (Pub-med, Cochrane, Scopus, Google Scholar) was performed using the term “IMAM,” excluding studies on other inflammatory myopathies [IMs]. Selected studies were independently assessed with the Newcastle-Ottawa Scale, and quantitative data underwent inter-statistical analysis, descriptive and odds ratio, to identify relevant findings. Results: Eight studies, including 49 IMAM cases from 2003 to 2024, were analyzed. Five were case reports, and three were cross-sectional studies. IMAM showed no age or sex predilection. Common symptoms included proximal muscle weakness, pain, and fatigue, with atypical DM-like skin features in 65% of cases. Other association included hemophagocytosis, cutaneous panniculitis, and interstitial lung infiltration. Histologically, all cases showed myonecrosis infiltrated with CD68+ macrophages. Scattered CD3+ and CD4+ T-cells expressing IL-10 with no or rare CD8+ T-cells were identified. MAC deposition was limited to necrotic fibers, and perifascicular atrophy was absent in all cases. Anti-PL-7 and anti-U1 RNP antibodies were detected in 4% of cases. Elevated TNFα and IFN-γ levels, with low STAT1 and STAT6, were observed. Genetic analysis revealed MEFV polymorphisms in 7 cases and a TNFRSF1A mutation [C43R] in single case. Treatment involved steroids, with or without immunotherapy or chemotherapy, leading to remission and recovery in 43.7% of cases. Conclusion: IMAM is a distinct type of IMs that requires muscle biopsy for diagnosis as myositis antibody and cytokine tests are usually insensitive.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".