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Record W4412163515 · doi:10.1002/jha2.70102

Acute Lung Injury in a Healthy Peripheral Blood Stem Cell Donor Following Granulocyte‐colony Stimulating Factor Administration: A Case Report

2025· article· en· W4412163515 on OpenAlexaff
Nihar Desai, Tommy Alfaro Moya, Michele Heffering‐Cardwell, Felipe Sánchez Tijmes, Fotios V. Michelis, Arjun Law

Bibliographic record

VenueeJHaem · 2025
Typearticle
Languageen
FieldMedicine
TopicRespiratory Support and Mechanisms
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsGranulocyte colony-stimulating factorGranulocyteMedicinePeripheral bloodStem cellLungAdministration (probate law)Peripheral Blood Stem CellsPeripheralImmunologyInternal medicineTransplantationBiologyHematopoietic stem cell transplantationChemotherapy

Abstract

fetched live from OpenAlex

Granulocyte-colony stimulating factor (G-CSF) is routinely used for peripheral blood stem cells (PBSC) mobilization in healthy donors for allogeneic hematopoietic stem cell transplantation, with mild, transient adverse effects. Pulmonary complications are exceedingly rare in healthy donors. We report a case of acute lung injury in a healthy donor after G-CSF administration requiring hospitalization and treatment with corticosteroids. This case highlights the potential for rare but serious G-CSF-induced pulmonary toxicity, particularly in donors with predisposing factors such as obesity and smoking. Increased awareness of these rare adverse events is essential given the widespread use of G-CSF in PBSC mobilization.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.002
Science and technology studies0.0030.003
Scholarly communication0.0030.003
Open science0.0020.003
Research integrity0.0090.006
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.020
GPT teacher head0.331
Teacher spread0.311 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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