Infliximab treatment for Cronkhite-Canada syndrome in pregnancy: A case report
Bibliographic record
Abstract
Cronkhite-Canada syndrome (CCS) is a rare nonhereditary disorder characterized by gastrointestinal polyps and protein-losing enteropathy. While an increasing number of CCS cases have been reported worldwide, no documented cases involving pregnant patients could be found. Consequently, optimal management strategies for CCS during the preconception period and pregnancy remain unclear., The present report concerns the case of a 36-year-old woman with steroid-refractory CCS stabilized with gastrointestinal surgeries and infliximab, an anti-tumor necrosis factor-α (TNF-α) agent, who became pregnant. Infliximab was continued throughout pregnancy and postpartum. Despite persistent hypoalbuminemia, sh delivered a healthy infant weighing 2518 g vaginally at 38 weeks and 2 days without CCS exacerbation. Both the patient and her infant experienced an uneventful postpartum course. This case suggests that maintaining disease control with anti-TNF-α therapy in pregnant patients with CCS may contribute to optimizing maternal and neonatal outcomes. • First documented case of pregnancy in a patient with Cronkhite-Canada syndrome (CCS). • Infliximab maintained CCS disease control from periconception through postpartum period. • Anti-TNFα therapy may contribute to favorable maternal and neonatal outcomes in CCS.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".