Leukoerythroblastosis with Cytopenia as an Initial Presentation of Lung Adenocarcinoma
Bibliographic record
Abstract
A 74-year-old male with a history of chronic lymphocytic leukemia (CLL) previously treated with fludarabine/cyclophosphamide/rituximab (FCR) 5 years ago, presented with progressive fatigue, mucocutaneous bleeding, and cytopenias (hemoglobin 51 g/L, platelets 8.0 × 109/L, lymphocytes 0.4 × 109/L). He had normal respiratory findings, and no lymphadenopathy or hepatosplenomegaly. Further workup revealed a small spiculated lung nodule and multiple sclerotic bony lesions. Due to bleeding/profound thrombocytopenia, lung biopsy was not feasible. Peripheral smear revealed leukoerythroblastosis with few nucleated red blood cells and left shift of granulocytes. Bone marrow (BM) aspirate yielded a dry tap with clusters of extrinsic atypical cells on touch preparations. BM core biopsy showed infiltration and near complete replacement by a population of highly atypical cells with surrounding fibrosis. Cells were positive for cytokeratins CK7 and CK8/18, Napsin A, and thyroid transcription factor-1, specific for a primary poorly differentiated lung adenocarcinoma. Leukoerythroblastosis in association with cytopenia often indicates a BM infiltration and warrants an early BM biopsy to rule out hematological and solid malignancies, particularly in CLL patients treated with FCR. In our case, a diagnosis of a lung adenocarcinoma was established by BM examination, the only clinically feasible diagnostic modality.
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) | 0.002 | 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 | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".