Vasculitis: The True and Near-true
Bibliographic record
Abstract
To the Editor: Ours is a simple observational study (1), which was conceived to shed light on a question raised by our Fellow at the time of signout. None of us had previously published on, nor even much considered, the controversy behind the existence of actinic granuloma. Our null hypothesis was that actinic granuloma is granuloma annulare, and that the only difference between the two concepts is the presence of elastophagocytosis and loss of elastic tissue in the former. Our observation was that lesions with loss of elastic tissue (actinic granuloma) do, in fact, differ from lesions of granuloma annulare in a number of additional ways. The typical lesion of actinic granuloma shows sarcoidal granulomata confined to the level of elastosis in the superficial dermis, contains numerous multinucleate histiocytes, and lacks mucin; the typical lesion of granuloma annulare shows palisading granulomata with central mucin accumulation, has few multinucleate histiocytes, and bears no discernible spatial relationship to the elastotic material. We end the study with hypotheses that spring from these observations: that actinic granuloma represents histiocyte-mediated destruction of actinically-altered elastic tissue, and that granuloma annulare represents a histiocytic reaction to a focus of relatively indestructible altered collagen. There is indeed some degree of histologic overlap between actinic granuloma and granuloma annulare, as there is between innumerable inflammatory dermatoses; however, by appropriate statistical analysis of the differences along a variety of parameters, we have shown that each difference is unlikely to be a random finding. By evaluating our observations with a “cursory glance” and interpreting multiple statistically significant differences as “negligible”, Dr. Ackerman has chosen the path of obfuscation rather than elucidation. As the remainder of Dr. Ackerman's discussion does not refer directly to our findings, we will refrain from commenting on it in detail. Differences of opinion are bound to persist between those who pursue a pragmatic approach based on hypothesis testing by methodical observation, and those who pursue a philosophical approach based on metaphor, analogy and historical context. In closing, we choose not to persuade, but rather to invite readers to reexamine, with an inquisitive eye, the observations and arguments presented in our study and in Dr. Ackerman's commentary. We hope that a more accurate understanding of this interesting concept will be the result. Ibrahim A. Al-Hoqail, M.D. Magda Martinka, M.D. Richard I. Crawford, M.D.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".