Use of Systemic Therapies for Treatment of Psoriasis in Patients with a History of Treated Solid Tumours: Inference-Based Guidance from a Multidisciplinary Expert Panel
Bibliographic record
Abstract
Patients with treated solid tumours (TSTs) are a highly heterogeneous population at an increased risk for malignancy compared with the general population. When treating psoriasis in patients with a history of TSTs, clinicians are concerned about the immunosuppressive nature of psoriasis therapies, the possibility of augmenting cancer recurrence/progression, and infectious complications. No direct, high-level evidence exists to address these concerns. We aim to provide a structured framework supporting healthcare professional and patient discussions on the risks and benefits of systemic psoriasis therapy in patients with previously TSTs. Our goal was to address the clinically important question, “In patients with TSTs, does therapy with systemic agents used for psoriasis increase the risk of malignancy or malignancy recurrence?” We implemented an inference-based approach relying on indirect evidence when direct clinical trial and real-world data were absent. We reviewed indirect evidence supporting inferences on the status of immune function in patients with TSTs. Recommendations on systemic psoriasis therapies in patients with TSTs were derived using an inferential heuristic. We identified five indirect indicators of iatrogenic immunosuppression informed by largely independent bodies of evidence: (1) overall survival, (2) rate of malignancies with psoriasis and systemic psoriasis therapies, (3) rate of infections with psoriasis and systemic psoriasis therapies, (4) common disease biochemical pathways for solid tumours and systemic psoriasis therapies, and (5) solid organ transplant outcomes. On the basis of review of the totality of this data, we provided inference-based conclusions and ascribed level of support for each statement. Prior to considering new therapies for psoriasis, an understanding of cancer prognosis should be addressed. Patients with TSTs and a good cancer prognosis will have similar outcomes to non-TST patients when treated with systemic psoriasis therapies. For patients with TSTs and a poor cancer prognosis, the quality-of-life benefits of treating psoriasis may outweigh the theoretical risks. Patients with previously treated cancer have a higher chance of cancer recurrence compared with the general population. With cancer incidence rising worldwide, doctors across medical specialities will need to treat other medical conditions, including inflammatory diseases such as psoriasis, in these patients. Effective systemic therapies for psoriasis reduce immune cell activity. Accordingly, there are concerns that treatments for psoriasis could worsen cancer recurrence/progression and infectious complications. There is not enough quality evidence to make broad recommendations for treating other inflammatory conditions in patients with a history of cancer. To guide patient and doctor discussions, we asked: what are effective and safe treatments when patients with treated solid tumours need systemic therapy (pills or injections) for their psoriasis? We focused on patients with solid tumours and excluded blood and skin cancers. Our panel of experts, including 12 dermatologists and 3 medical oncologists, reviewed direct and indirect evidence to answer this question. Considering the totality of evidence reviewed, the expert panel drafted and rated their level of support for opinion statements on important considerations in treating patients with psoriasis who have a history of solid tumours. By making inferences on systemic psoriasis therapies in this heterogeneous population, we take the onus off individual physicians to review the indirect data. This process may help answer questions in other disease populations where direct evidence is scarce or absent. To support treatment decisions, doctors should have a guided conversation with the patient and their family on a case-by-case basis about the risks and benefits of treatment.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".